Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • View or Listen to JNM Podcast
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Follow JNM on Twitter
  • Subscribe to our RSS feeds
Research ArticleContinuing Education

Myocardial Perfusion Imaging for Preoperative Risk Stratification

Howard Weinstein and Richard Steingart
Journal of Nuclear Medicine May 2011, 52 (5) 750-760; DOI: https://doi.org/10.2967/jnumed.110.076158
Howard Weinstein
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Richard Steingart
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

This review considers the changing nature of surgical risk assessment and the definition of risk; discusses the pathophysiology of perioperative myocardial infarction in relation to tests of coronary flow reserve; surveys the extensive literature on preoperative myocardial perfusion imaging (MPI) and outlines key trends; presents practical points on image interpretation; addresses the needs of special populations; compares MPI with other modalities; and integrates recommendations from practice guidelines on the effective use of MPI in the preoperative patient.

  • myocardial perfusion imaging
  • preoperative risk stratification
  • infarct
  • ischemia

Weighing treatment risk and benefit is at the crux of medical decision making. Nowhere is the need to assess risk more compelling than in the perioperative patient, for whom the medical or cardiology consultant and surgical team must formulate a treatment plan and mitigate surgical risk. The patients and their close contacts, on their part, must balance their surgical risk carefully against the alternatives.

In tertiary centers providing comprehensive cancer care to patients facing high-risk and complex surgical procedures, careful preoperative risk assessment is a sine qua non of good care.

THE NATURE OF SURGICAL RISK ASSESSMENT

Although the fundamental nature of preoperative risk assessment seems intuitive, the concept of risk has been explored and refined in the literature.

Historically, perioperative risk has been defined through hard clinical endpoints such as cardiac and all-cause mortality, perioperative myocardial infarction (MI), and perioperative ischemia (1). However, as newer endpoints have been developed, the meaning of risk may also be changing. The sensitive troponin assays currently available have introduced a new and relatively frequent clinical marker of morbidity and have complicated the definition of perioperative MI (2). For example, it is common for vascular patients to exhibit a mild elevation in troponin (cardiac troponin I > 0.6) even if assessed preoperatively with mild or no inducible ischemia by myocardial perfusion imaging (MPI) or if previously revascularized for coronary artery disease (CAD) (26% and 23%, respectively) (3). The presence of moderate-to-severe ischemia by preoperative MPI in these patients confers a risk of virtually one half of developing this troponin-based endpoint. By comparison, with a more historical marker of creatine phosphokinase–MB index of greater than 5%, positive endpoints were observed in just 6.5% for mild or no inducible ischemia, 6.4% for prior revascularization, and 12.5% for moderate-to-severe inducible ischemia.

This increased detection of cardiac biomarker release of roughly 3–4 times that of prior detection norms is typical of our experience as well and has altered how we define risk, how we present potential outcomes to patients and family members, and how we formulate treatment plans with primary teams.

In an era of medical cost containment, risk may also be defined by surrogate measures related to cost, such as length of stay—an integrated outcome of initial recovery time and late postoperative morbidity. Length of stay must be anticipated and minimized. Thus, the prediction of length of stay represents a new target endpoint for preoperative evaluation. Based on our experience in patients undergoing surgery for thoracic cancer, this endpoint is, to a degree, predictable by preoperative stress testing (4).

The role of the consultant in preoperative risk assessment would seem intuitively obvious and even vital. Yet studies have questioned the utility of preoperative evaluation. In a multiple-choice survey of surgeons, cardiologists, and anesthesiologists in the New York metropolitan area, (5) Katz found “considerable disagreement among anesthesiologists, cardiologists and surgeons as to the purpose and utility of cardiology consultation.” Moreover, a review of 55 consecutive preoperative evaluations found these consultations to have little practical utility (5). A more recent review of nearly 400 patients—138 of whom received preoperative medical consultations (6)—concluded that nearly half the consultations gave no recommendations and that the outcomes of these patients were no different from the group without medical consultation. Thus, there remains a need to provide cogent, practical, and timely guidance to surgeons, anesthesiologists, and patients alike. Risk assessment is a required first step in this process.

DEFINITION OF RISK

The perceived utility of preoperative tests to determine perioperative risk depends on the definition of risk, the purpose of risk stratification, and, significantly, the vantage point from which the information is received. In a review on the definition of risk in high-risk surgical patients (7), Boyd and Jackson explored this issue in depth. Societal understanding of risk is poor, as are the terms used to describe risk. Moreover, risk assessment protocols (8) and interventions intended to reduce perioperative risk have often proved ineffective (9). Differences in perspective among patients, family, a multidisciplinary care team, and hospital administrators lead to misapprehension of risk and differing priorities (7). Moreover, risk-guiding tests (e.g., MPI) or other indicators can perform poorly on an individual-patient basis, with poor positive or negative predictive power (10).

It is easier to define high risk relative to large groups perceived to be at lower or baseline risk. In the United Kingdom, the National Confidential Enquiry into Perioperative Deaths estimated a 30-d mortality of 0.7%–1.7% for 2.8–3.3 million operations (1991–1992 survey). Notably, such surveys indicate that surgeons misperceive risk in nearly half of their individual patients. One practical scheme has defined high risk as a mortality risk of greater than 5% and extremely high risk as a mortality risk of greater than 20% (7). Clinical scoring systems have been widely used to assess risk, including the American Society of Anesthesiologists grading scale (11), a basic yet predictive risk estimator, and others derived and validated institutionally (7). This classification (factoring only the presence and severity of systemic disease) remains predictive after nearly 70 y of use.

Anaerobic threshold by cardiopulmonary testing has been found to be a powerful predictor of perioperative mortality (12), with a threshold of less than 11 mL/min/kg defining a morbidity risk of 18% versus 0.8%. Significantly, an ischemic electrocardiography (EKG) component on such testing raised the mortality risk to 42% in the patients with a low anaerobic threshold, compared with 4% in the high-threshold group. However, these methods are arduous and not routinely available.

Although the ultimate goal of risk stratification is to reduce risk, efforts to translate perioperative risk data into risk reduction have been complicated by the low positive predictive accuracy of abnormal test results and clinical risk markers (10). For pharmacologic MPI, the positive predictive value for death or MI ranges from 5% to a high of 20%, the negative predictive value is 96%–100%, and the likelihood ratio is 1.5–3. Dobutamine stress echocardiography and the Revised Cardiac Risk Index likewise have poor positive predictive value for events. This low positive predictive value has prompted discussion of a shift in paradigm from risk prediction to risk reduction through interventions on groups at risk (10,13), a process that itself has met with only limited success (9).

PATHOPHYSIOLOGY OF PERIOPERATIVE MI: DETECTION OF PATHOLOGIC SUBSTRATE BY MPI

Myocardial ischemia plays a central role in postoperative morbidity and mortality. Understanding the physiology of perioperative ischemia and infarction is fundamental to the prediction and treatment of perioperative coronary complications (14). Mangano et al. showed a direct link between postoperative events and early postoperative ischemia by continuous EKG monitoring in patients with CAD (15), outweighing all other clinical predictors tested. In autopsy specimens from patients with fatal perioperative MIs, 93% had obstructive CAD and nearly half had left main or 3-vessel disease. Unstable plaque and plaque hemorrhage were found in 44%. The site of infarction could not be predicted from the degree of underlying stenosis. In all respects, these findings were indistinguishable from a smaller group of nonoperative control infarcts (16). In a separate autopsy study of fatal postoperative MIs, plaque rupture was found in nearly half, and intracoronary thrombus in a third. Significantly, MI from plaque rupture was fatal at 7.8 d after surgery, versus only 4.4 d without plaque rupture (17), suggesting that infarction occurs later in the perioperative course with plaque rupture than without.

When monitored after vascular surgery with continuous EKG recording (18), one fifth of patients had ischemic ST depression. Twelve of 185 patients had a perioperative troponin I level greater than 3.1, with all troponin elevation occurring during or immediately after prolonged ST depression (average time of ST depression with acute MI, 226 min, vs. 38 min in ST depression without infarction). Peak troponin correlated strongly with the duration of ST depression, and all ischemic events resulting in a significant troponin release were preceded by relative tachycardia (32-bpm increase from baseline). Two thirds of these episodes occurred at the end of surgery and early in the recovery. This was the first study to show the strong temporal association between prolonged ischemia defined by ST depression and postoperative MI.

From the foregoing and other studies, Landesberg has formulated a useful model for understanding perioperative ischemia and infarction (19): The basic substrate resembles nonsurgical MI—underlying CAD; plaque rupture and thrombosis; tachycardia; and changes in blood pressure, coronary tone, platelet aggregability, and fibrinolysis. In two thirds of patients, ischemia begins immediately after surgery and during emergence from anesthesia, coinciding with increased heart rate, blood pressure, sympathetic tone, and procoagulation. This ischemia is usually silent and identified by ST depression. The change in heart rate may be subtle and the ST depression undetectable without continuous monitoring, even though a third of ischemic patients have ST depression lasting greater than 100 min. Ischemia may progress to myocardial troponin release, but only half these patients with release of troponin develop symptoms or other signs of acute MI. The remaining infarcts would be undetectable in the absence of continuous EKG monitoring or troponin screening. Troponin usually rises by 8–24 h after surgery, consistent with the early postoperative ischemia that induced the infarct. In half the patients with fatal postoperative MI, no plaque rupture or thrombus is found at autopsy, even with severe CAD. Death occurs within 3 d after surgery, consistent with the early onset of ST depression in these patients. Timing in the other half of patients with fatal postoperative MIs whose infarcts are induced by plaque rupture or thrombosis is evenly distributed over the earlier and later periods after surgery.

In a more recent review, Landesberg et al. (20) have further characterized these substrates as type I (rupture of unstable plaque) and type II (myocardial O2 supply–demand imbalance).

The foregoing concepts of perioperative MI reveal both the compelling suitability of MPI for preoperative risk assessment and its limitations. As an almost unparalleled noninvasive marker of coronary flow reserve and for PET, absolute blood-flow, perfusion imaging provides critical physiologic information about coronary circulation and exposes the pathologic substrate of type II perioperative MI (severe CAD with supply–demand imbalance). The strong correlation between moderate-to-severe inducible ischemia on preoperative MPI and low-level troponin release (troponin I > 0.6) in half the patients after vascular surgery (3) supports both the view of supply–demand mismatch as a major substrate for perioperative MIs and the rationale for the role of preoperative MPI in predicting such events.

However, in the approximately half of patients whose MI is related to plaque rupture, the link to abnormal coronary flow reserve (and hence abnormal MPI) is more tenuous. Though clearly predictive of cardiac events in groups, the predictive value of MPI in individual patients is problematic (10), in keeping with the idiosyncratic nature of plaque rupture. Moreover, in most of these patients, even those with known CAD or multiple cardiac risk factors, both perioperative and long-term deaths were due to noncardiac causes (21).

PERFORMANCE OF MPI FOR PERIOPERATIVE RISK STRATIFICATION THROUGH THE DECADES

Even as our understanding of perioperative MI was still evolving, the potent prognosticating power of MPI was extended into the preoperative arena.

In 1985, Boucher et al. (22) performed preoperative dipyridamole MPI on 54 stable patients before vascular surgery and reported postoperative cardiac events in 8 of 16 patients with thallium redistribution, compared with no events in 32 patients with either fixed or no defects; clinical indicators were not predictive of events.

Leppo et al. (23) then compared dipyridamole scintigraphy with exercise testing in 100 patients undergoing vascular surgery and again found thallium redistribution to be the most predictive tested variable for events, with an odds ratio of 23 versus no redistribution.

Subsequently, through multiple studies, single-photon perfusion imaging has proven durable and reproducible as a predictor of risk, with a scope far exceeding its roots in vascular patients. Preoperative MPI has risk-stratified patient groups from a conventional case-mix to special populations and has provided additional valuable prognostic information beyond the perioperative period (24).

Perfusion tracers and imaging technology have evolved from thallium planar imaging to thallium SPECT, 99mTc-sestamibi and tetrofosmin SPECT, and, more recently, dual-tracer protocols with thallium and 99mTc agents and 82Rb PET, maintaining prognostic power with each imaging refinement. At Memorial Sloan-Kettering Cancer Center, protocols in current use include exercise, dipyridamole, adenosine, regadenoson, and (rarely, of late) dobutamine stress; and 99mTc-tetrofosmin, dual-tracer thallium-tetrofosmin SPECT and 82Rb PET imaging.

A representative sample of studies on preoperative MPI is provided in Table 1, annotated with salient results.

View this table:
  • View inline
  • View popup
TABLE 1

Representative Sample of Studies on Preoperative MPI

From such studies, trends for both the utility and the limitations of preoperative MPI have emerged:

  • The predominant population studied is patients with vascular disease, in keeping with the perceived high inherent risk of both the surgery and this patient group.

  • Consistent with these patient groups, exercise stress is seriously underrepresented in the literature in favor of pharmacologic stress.

  • Spanning over 20 y, the bulk of these studies originated in the early era of MPI and used planar imaging. These studies predated current coronary intervention methods.

  • The absence of thallium redistribution is strongly associated with a low perioperative cardiac event rate (high negative predictive value), but positive predictive value is low.

  • A normal preoperative myocardial perfusion scan (MPS) incurs both a low perioperative risk and a low long-term risk (∼2 y), even in groups with high clinical risk; positive results are less predictive.

  • The benefit of preoperative MPI is unproven (and likely minimal) in low-risk patients.

IMAGE INTERPRETATION: SCAN INDICATORS OF PERIOPERATIVE RISK

Gating of SPECT Images

Hashimoto et al. (25) assessed the incremental value of quantitative gated SPECT over nongated perfusion imaging. Functional data were independently correlated with events and added risk stratification to patients with normal scan findings.

Fixed Defects

McFalls et al. (26) found the presence of fixed thallium defects (at 3–4 h) and angina to be the only 2 independent risk markers in vascular patients assessed by exercise MPI.

Evidence of Severe CAD

In vascular patients with either transient ischemic dilatation, reversible defects in all 3 segments assessed by planar imaging, or at least one severe reversible defect, half had a perioperative infarction or cardiac death (27). Marshall et al. (28) found the number of reversible thallium defects to be the only multivariate predictor of perioperative events in vascular patients. A severe defect found by quantitative dipyridamole thallium imaging was the only predictor of long-term mortality in vascular patients (24). Again, in vascular patients, only patients with thallium SPECT redistribution had events, but positive predictive value was low. Large defect size and ischemic fraction (23% and 20% of the myocardium, respectively, in patients with events) increased the predictive power of the test (29). Quantitation and transient ischemic dilatation predicted both perioperative and long-term events in vascular patients (30). The extent of myocardium at risk (number of segments with thallium redistribution) was the best indicator of preoperative risk in high-risk procedures (1).

Etchells et al. (31) performed a meta-analysis of 9 studies involving 1,179 patients with semiquantitative MPI before vascular surgery. They found that an extent threshold of reversibility of 20% of myocardial segments (found in only 23% of scans) defined an increased risk of cardiac death and nonfatal MI. Reversible defects below this threshold incurred a more than 2-fold risk of events (8.8% vs. 3.1% for normal scans), although this difference did not meet statistical significance. The authors of this meta-analysis cited publication bias and methodologic problems in the primary studies but believed that such bias would have overestimated the inherent risk of highly abnormal scans (because of enhanced surveillance and unblinded assessment of patients perceived to be at higher risk). The severity and location of reversible defects, transient ischemic dilatation, and EKG changes with dipyridamole were deemed important but not fully evaluated in this meta-analysis.

PROGNOSTIC IMAGING CONSIDERATIONS FROM NONSURGICAL POPULATIONS WITH POTENTIAL APPLICATION TO PREOPERATIVE RISK STRATIFICATION

Peri-Infarct Ischemia

Peri-infarct ischemia is not typically interpreted as a high-risk preoperative finding. But in a study of 345 patients with prior MI and reversible sestamibi scans, annual cardiac death rates were higher for peri-infarct ischemia than for ischemia remote from the infarct zone (2.8% vs. 1.2%) (32).

Transient Ischemic Dilatation in an Otherwise Normal Scan

Transient ischemic dilatation in an otherwise normal scan is a discordant finding that has uncertain implications preoperatively, but in 1,560 general patients with transient ischemic dilatation, normal tracer distribution and normal left ventricular (LV) size at rest, the highest transient ischemic dilatation quartile had more total events than the others (33).

Contemporaneous Coronary Calcium Screening

Contemporaneous coronary calcium screening by CT is of uncertain independent or incremental value preoperatively but was recently evaluated for prognosis in nonsurgical groups. Rogandi et al. (34) found no increase in cardiac events at a mean of 32 mo in 1,089 nonischemic patients with high cardiac calcium scores (>1,000). However, in a study of more than 1,000 patients followed for nearly 7 y (35), cardiac events increased with high cardiac calcium score (>400) in patients with both normal and abnormal SPECT results, with separation of survival curves at 3 y for cardiac events and 5 y for death or MI. Total and regional calcium scoring is reported on our 82Rb PET perfusion studies at Memorial Sloan-Kettering Cancer Center.

Differences in Imaging Modalities and Protocols

We know of no direct comparison of tracers, imaging methods, or stress protocols in preoperative patients. In nonsurgical patients, no difference was found between 99mTc-tetrofosmin SPECT and 99mTc-sestamibi SPECT (n > 900 in each group) in predicting events at 1.5 y with a mix of stress protocols (36).

Temporal Validity of Preoperative MPI

The clinically germane issue of how long the predictive power of a given perfusion scan remains in effect has not been established in the preoperative setting. For general patient referrals, Hachamovitch et al. (37) attempted to determine the “warranty period” of a normal scan in more than 7,000 patients. In patients without previous CAD, risk (events per unit time) from the time of imaging was uniform for a mean of 2 y; with known CAD, risk increased over time. The temporal properties of a normal scan were affected by multiple clinical factors (with diabetic women, notably, incurring an annual event rate of >3 times that of nondiabetic women and an accelerated risk over time). This effect may produce a warranty period for a normal preoperative MPS as well, but this period is unknown.

PREOPERATIVE RISK STRATIFICATION IN SPECIAL POPULATIONS

As we have outlined, studies on preoperative risk stratification with MPI have been heavily weighted toward vascular surgery (patients expected to have more extensive and severe CAD undergoing intensive procedures, who are often poor candidates for standard exercise testing) and major nonvascular surgery. Some studies on preoperative MPI have included special populations and merit particular attention.

The Elderly

The aging U.S. population translates to an increasingly elderly surgical population. In a study of more than 4,000 major abdominal procedures in patients older than 50 y, major cardiac and noncardiac complications occurred in 5.7% of those 60–69 y old, 9.6% of those 70–79 y old, and 12.5% of those more than 80 y old. Specifically, the risk of cardiogenic pulmonary edema, MI, ventricular tachycardia, pneumonia, and respiratory failure increased with age. Patients older than 80 y had a higher hospital mortality (2.6% vs. 0.7%; cause of death not specified) and a longer stay than younger patients in this study (38). Hachamovitch et al. (39) assessed the predictive value of dual-tracer MPI to risk-stratify 5,200 nonsurgical patients older than 75 y. Both ischemic and fixed defects added incrementally to clinical data for both adenosine and exercise studies, with further stratification by gated SPECT. A normal MPS incurred a lower risk than an age-matched cohort. Modeling of a subgroup with an extended follow-up of 6 y showed an increasing survival benefit of early revascularization with increasing ischemia and a survival benefit of medical treatment with little or no ischemia. These findings may be useful in formulating perioperative plans, because weighing the long-term effects of revascularization is critical in deciding on the benefit of preoperative revascularization.

Though not specifically addressing MPI, Older et al. (12) evaluated the use of exercise cardiopulmonary testing in 548 patients older than 60 y before major abdominal surgery. All cardiopulmonary deaths occurred in patients with either EKG evidence of ischemia on the treadmill or an anaerobic threshold of less than 11 mL/min/kg (positive predictive value, 4.6%). This group used preoperative cardiopulmonary testing to assign postoperative care to either a ward, a high-dependency unit, or an intensive care unit. In a retrospective study of more than 1,300 patients, Bai et al. (40) grouped perioperative patients by an age of less than 75 y or an age of 75 y or more and by dipyridamole SPECT results. Age was found to be an independent predictor of postoperative events in patients with abnormal SPECT studies, but in patients with normal scans, perioperative risk was independent of age.

Women

Although the literature on preoperative MPI has been weighted toward men, some studies included a nearly equal proportion of women (41). The poorer sensitivity and specificity of stress EKG alone in women (42) and referrals for noninvasive testing in women unable to exercise will generate the need for both more preoperative stress imaging and more research in this area.

Cancer Surgery

Cancer patients present unique challenges in perioperative care (43) because of the complexity of the surgery, perceived hypercoagulation in cancer, and high comorbidity rate. In addition to surgery, risk assessment is needed for bone marrow transplants and cardiotoxic and thrombogenic chemotherapy regimens in patients of increasingly advanced age. There is little in the literature pertaining to such patients. A recent study from M.D. Anderson Cancer Center (44) used gated MPI to assess risk in nearly 400 cancer patients. Death, MI, and heart failure, up to 1 mo postoperatively, occurred in 4.7% of patients with abnormal scans versus none with normal scans. The low event rate in their population likely reflects a relatively low-risk case mix in this study.

Thoracic Surgery

The literature on preoperative risk stratification of thoracic patients is robust; most of these studies focused on clinical markers and physiologic exercise or cardiopulmonary stress testing. In elderly patients undergoing lobectomy, performance on symptom-limited stair climbing was the most potent multivariate predictor of postoperative complications (45). From the strictly pulmonary standpoint, Datta and Lahiri (46) advocate a stepped approach that tests forced expiratory volume in 1 s and diffusing capacity, estimates postoperative forced expiratory volume in 1 s and diffusing capacity by lung scanning in selected patients, and then performs cardiopulmonary exercise testing in still fewer patients. In our institution, we found preoperative treadmill performance to be a strong predictor of length of stay after thoracic surgery (4). Thus, it would appear that assessment of exercise performance is an important ingredient in predicting outcomes in thoracic surgery patients.

In one retrospective study, detailed preoperative testing in 184 thoracic patients (including dobutamine stress echocardiography, exercise or dipyridamole MPI, exercise treadmill testing, or coronary angiography) yielded a rate of perioperative MI similar to that in 110 patients without such testing. Predictably, positive results from cardiac testing were much more frequent in patients with than without known CAD (47).

Patients Who Have Undergone Bypass Surgery

The prognostic power of MPI to risk-stratify at 11 ± 7 mo after bypass surgery was assessed in 411 patients by exercise thallium SPECT (48). Exercise duration, number of thallium defects, and treadmill-induced angina were independent predictors of events at a mean of 5.8 y. A subsequent study of postbypass patients (49) found summed stress scores to predict annual cardiac death rates, with the greatest benefit in symptomatic patients within 5 y and in all patients after 5 y. Thus, MPI provides long-term prognostic value after bypass surgery and may be beneficial independent of its value in preoperative risk stratification.

IMPORTANCE OF DYSPNEA AND EXERCISE TOLERANCE

Although, as we have seen, pharmacologic stress has dominated the preoperative MPI literature, the limited available data on exercise tolerance and dyspnea both before surgery and beyond appear compelling.

In 600 patients assessed preoperatively for noncardiac surgery, self-reported exercise tolerance of less than 4 blocks or 2 flights incurred a 2-fold excess of perioperative complications (20% vs. 10%, including ischemic and neurologic events) (50).

As mentioned earlier regarding surrogate endpoints, objective exercise tolerance was predictive of length of stay after thoracic cancer surgery in 191 patients (4). At the extremes, a prolonged stay (≥10 d) occurred in 9 of 31 patients achieving no more than 4 metabolic equivalents(METs), versus none of 23 patients exceeding 10 METs.

In nearly 18,000 patients free of cardiomyopathy and valve disease, undergoing SPECT MPI, and followed for 2.7 ± 1.7 y, self-reported dyspnea incurred a much higher rate of cardiac and all-cause mortality (all-cause mortality, 6.2% vs. 2.5% of patients without CAD and 11.7% vs. 4.1% with known CAD) and further stratified each clinical subgroup (51). Preoperative cardiac or medical evaluation represents an opportunity to perform a comprehensive evaluation and to assess global risk (52). Thus, although generated from a general referral base, these results should be weighed carefully when assessing perioperative risk as well.

COMPARISON OF MPI TO OTHER MODALITIES

A comprehensive review of all preoperative stress testing modalities is beyond the scope of this review.

In a meta-analysis of published studies of ambulatory EKG, exercise EKG, radionuclide ventriculography, MPI, dobutamine stress echocardiography, and dipyridamole stress echocardiography from 1995 to 2001, dobutamine stress echocardiography had the highest weighted sensitivity of 85% and a specificity of 70% for predicting perioperative deaths and MI, slightly superior to the other modalities (53). Ambulatory EKG showed both poor sensitivity and poor specificity, and resting EKG changes often precluded its use. Radionuclide ventriculography was specific but insensitive. These tests were not recommended in this setting. Exercise EKG, though favored by the American College of Cardiology/American Heart Association (ACC/AHA) guidelines (52), is not feasible in many vascular or other higher-risk patients with limited exercise capability or resting EKG changes.

Beattie et al. (54) compiled data from 68 studies and more than 10,000 patients undergoing either thallium imaging (99mTc-sestamibi was included in the search criteria but was poorly represented in the data) or stress echocardiography before (predominantly vascular) surgery. There was no difference in cumulative receiver operating characteristic curves between the 2 modalities (20 studies). However, the likelihood ratio was higher for a positive stress echocardiogram (4.09 vs. 1.83 for thallium) and lower for a negative stress echocardiogram (0.23 vs. 0.44 for thallium). This apparent disparity in diagnostic power in favor of stress echocardiography should be considered in the context of the more than 2-fold use of screening for MI in the stress echocardiography studies versus the thallium studies; the higher tendency for thallium studies than for stress echocardiography to direct treatment; the current predominant use of 99mTc agents and attenuation correction, not well represented in this study (at Memorial Sloan-Kettering Cancer Center, the use of 99mTc-tetrofosmin with attenuation correction results in a high rate of reinterpretation of initial defects as breast or diaphragmatic attenuation); and the difference in referral patterns of the 2 tests as used clinically.

The relative value of stress echocardiography and stress MPI should be appreciated in the context of their referred patient base. A recent comparison of referral patterns of more than 5,000 patients at a single institution revealed that, versus stress echocardiography, patients referred for MPI were older and more heavily weighted to diabetes, prior MI (39% vs. 15%), prior revascularization (38% vs. 12%), and LV dysfunction (23% vs. 7%). The authors surmised that similar referral patterns likely exist in other centers and advised caution in interpreting comparisons between these modalities (55).

The clinical utility of rest echocardiography to predict perioperative risk was assessed in 339 consecutive men with known or suspected CAD before noncardiac surgery, targeting LV ejection fraction, wall motion, and the presence of LV hypertrophy. In multivariate analysis, an LV ejection fraction of less than 40 was a mild predictor of all cardiac outcomes but not heart failure. The addition of transthoracic echocardiography to known clinical risk markers did not significantly alter their predictive power; its routine preoperative use was not recommended by the authors of that study (56).

A contemporaneous study of 87 patients assessed the relative predictive power of dipyridamole thallium imaging and rest echocardiography before noncardiac surgery (>50% vascular). Half of patients had reversible perfusion defects, and nearly a third had LV dysfunction shown by echocardiography. All the postoperative events occurred in patients with both redistribution and LV dysfunction, and the positive predictive value of dipyridamole thallium imaging was markedly improved by the presence of LV dysfunction. The authors advocated the combined use of MPI and echocardiography in identifying high risk in such patients (57). However, because echocardiography was performed solely to assess LV function in this study, these results may now be reinterpreted in the current era of gated SPECT to support combined perfusion and functional assessment preoperatively. On the basis of the above studies and others, current ACC/AHA guidelines recommend against the routine perioperative use of rest echocardiography (52).

INTEGRATING MPI INTO PATIENT MANAGEMENT: RECOMMENDATIONS FROM PRACTICE GUIDELINES

Both the American College of Physicians (58) and the ACC/AHA have published guidelines on preoperative cardiac evaluation and risk assessment (52,59). Guidelines from these practice groups have differed historically, with their recommendations for preoperative testing often being discordant (58). Overutilization of preoperative stress testing in relation to either set of guidelines has been reported (58). The American College of Physicians Clinical Efficacy Assessment Subcommittee (the body developing and updating guidelines) considers guidelines older than 5 y to be no longer active—their recommendations potentially outdated. Hence, we turn to the 2007 ACC/AHA recommendations for guidance (52).

Patients with poor or uncertain exercise tolerance (<4 metabolic equivalents—e.g., climbing hills) and 3 or more clinical risk factors (ischemic heart disease, compensated heart failure, diabetes, renal insufficiency, and cerebrovascular disease) are considered reasonable candidates for noninvasive testing before vascular surgery (class IIa recommendation) if the results will change the management. Stress testing “may be considered” (class IIb recommendation) in patients with poor or uncertain exercise tolerance and 3 or more risk factors undergoing intermediate risk surgery or 1–2 risk factors before either vascular or intermediate risk surgery. Note that there are no class I (“should be performed”) recommendations for preoperative noninvasive stress testing. Moreover, stress testing is not recommended in patients before urgent surgery, before low-risk procedures regardless of functional capacity, or with good exercise tolerance regardless of intrinsic surgical risk. Patients with unstable coronary syndromes, decompensated heart failure, major arrhythmias, and severe valvular disease are evaluated and treated for their conditions before surgery can be considered. The ACC/AHA guidelines call for simple exercise treadmill testing in ambulatory patients with an interpretable baseline EKG, exercise imaging for nondiagnostic EKGs, and pharmacologic stress imaging for patients unable to exercise adequately.

These guidelines stress the overriding themes that interventions are rarely necessary to lower the surgical risk in itself unless also indicated for the long-term benefit of the patient, that the purpose of the preoperative evaluation is not to provide “clearance” but to perform a comprehensive cardiac evaluation for intermediate perioperative and long-term benefit, and that tests should be performed only if results will influence treatment.

With these guiding principles, our experience at Memorial Sloan-Kettering Cancer Center is that MPI (along with other stress imaging modalities) can be invaluable to the perioperative care of select cancer patients whose surgical procedures are often extensive and prolonged (respective median and maximum operating room times: genitourinary, 278 and 873 min; thoracic, 128 and 780 min; hepatobiliary, 220 and 608 min; orthopedic, 178 and 1,330 min; head or neck, 163 and 1,346 min; neurosurgery, 231 and 840 min; and gynecology, 198 and 974 min). Because of these patients’ underlying cancer, active or recent chemotherapy and radiation treatment, and intercurrent illness, their exercise capacity is often either poor or uncertain, making them potential candidates for stress testing by ACC/AHA guidelines. We reserve stress testing for those with suggestive symptoms, multiple risk factors, and an abnormal baseline EKG that requires interrogation as part of the comprehensive cardiac evaluation. The value of exercise treadmill EKG testing without imaging has been highly limited in this setting. The prognostic information from MPI has provided a critical element in the preoperative evaluation that often influenced the choice of cancer therapy, extent of surgery, and intensity and venue of postoperative care even when coronary interventions were not pursued.

However, experience in our specialized population has confirmed the limited use of preoperative stress imaging when not indicated by ACC/AHA guidelines. When existing ACC/AHA guidelines were retrospectively applied to 776 consecutive cancer patients referred for stress echocardiography before intermediate-risk surgery, fully 84% of tests were not indicated by the guidelines. This group incurred a low perioperative event rate, and cardiac events were not predicted by stress results. Stress results risk-stratified only when testing was indicated by the guidelines (60).

KEY POINTS AND CONCLUSION

Perioperative myocardial ischemia and infarction result from coronary plaque rupture or from supply–demand imbalance, giving rise both to the strong suitability of MPI for perioperative risk assessment and to its limitations. Preoperative MPI has a high negative predictive value; a normal preoperative MPS result incurs both a low perioperative risk and a low long-term risk. The benefit of MPI is unproven in low-risk patients and is probably not cost-effective. Preserved exercise tolerance is associated with a low perioperative risk, and as stated in current guidelines, MPI is unlikely to help with perioperative decision making in such patients. In our experience, preoperative MPI has the greatest utility in the management of intermediate- to high-risk patients with limited exercise tolerance whose signs or symptoms suggest but do not prove the presence of potentially severe or unstable coronary disease. For patients in whom the diagnosis of unstable or severe disease is clearer (including those with limited exercise tolerance), proceeding directly to cardiac catheterization in consideration of coronary revascularization is likely the better strategy.

Footnotes

  • Learning Objectives: On successful completion of this activity, participants should be able to (1) describe the role of myocardial perfusion imaging in preoperative risk assessment and (2) integrate current guidelines into the application of preoperative myocardial perfusion imaging.

  • Financial Disclosure: The authors of this article have indicated no relevant relationships that could be perceived as a real or apparent conflict of interest.

  • CME Credit: SNM is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to sponsor continuing education for physicians. SNM designates each JNM continuing education article for a maximum of 1.0 AMA PRA Category 1 Credit. Physicians should claim only credit commensurate with the extent of their participation in the activity.

  • For CE credit, participants can access this activity through the SNM Web site (http://www.snm.org/ce_online) through May 2012.

  • © 2011 by Society of Nuclear Medicine

REFERENCES

  1. 1.↵
    1. Brown KA,
    2. Rowen M
    . Extent of jeopardized viable myocardium determined by myocardial perfusion imaging best predicts perioperative cardiac events in patients undergoing noncardiac surgery. J Am Coll Cardiol. 1993;21:325–330.
    OpenUrlPubMed
  2. 2.↵
    1. Devereaux PJ,
    2. Goldman L,
    3. Yusuf S,
    4. Gilbert K,
    5. Leslie K,
    6. Guyatt GH
    . Surveillance and prevention of major perioperative ischemic cardiac events in patients undergoing noncardiac surgery: a review. CMAJ. 2005;173:779–788.
    OpenUrlAbstract/FREE Full Text
  3. 3.↵
    1. Landesberg G,
    2. Mosseri M,
    3. Shatz V,
    4. et al
    . Cardiac troponin after major vascular surgery: the role of perioperative ischemia, preoperative thallium scanning, and coronary revascularization. J Am Coll Cardiol. 2004;44:569–575.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Weinstein H,
    2. Bates AT,
    3. Spaltro BE,
    4. Thaler HT,
    5. Steingart RM
    . Influence of preoperative exercise capacity on length of stay after thoracic cancer surgery. Ann Thorac Surg. 2007;84:197–202.
    OpenUrlCrossRefPubMed
  5. 5.↵
    1. Katz RI,
    2. Barnhart JM,
    3. Ho G,
    4. Hersch D,
    5. Dayan SS,
    6. Keehn L
    . A survey on the intended purposes and perceived utility of preoperative cardiology consultations. Anesth Analg. 1998;87:830–836.
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Katz RI,
    2. Cimino L,
    3. Vitkun SA
    . Preoperative medical consultations: impact on perioperative management and surgical outcome. Can J Anaesth. 2005;52:697–702.
    OpenUrlPubMed
  7. 7.↵
    1. Boyd O,
    2. Jackson N
    . How is risk defined in high-risk surgical patient management? Crit Care. 2005;9:390–396.
    OpenUrlCrossRefPubMed
  8. 8.↵
    1. Galland RB
    . Severity scores in surgery: what for and who needs them? Langenbecks Arch Surg. 2002;387:59–62.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. Poldermans D,
    2. Schouten O,
    3. Vidakovic R,
    4. et al
    . A clinical randomized trial to evaluate the safety of a noninvasive approach in high-risk patients undergoing major vascular surgery: the DECREASE-V Pilot Study. J Am Coll Cardiol. 2007;49:1763–1769.
    OpenUrlCrossRefPubMed
  10. 10.↵
    1. Grayburn PA,
    2. Hillis LD
    . Cardiac events in patients undergoing noncardiac surgery: shifting the paradigm from noninvasive risk stratification to therapy. Ann Intern Med. 2003;138:506–511.
    OpenUrlCrossRefPubMed
  11. 11.↵
    1. Wolters U,
    2. Wolf T,
    3. Stutzer H,
    4. Schroder T
    . ASA classification and perioperative variables as predictors of postoperative outcome. Br J Anaesth. 1996;77:217–222.
    OpenUrlAbstract/FREE Full Text
  12. 12.↵
    1. Older P,
    2. Hall A,
    3. Hader R
    . Cardiopulmonary exercise testing as a screening test for perioperative management of major surgery in the elderly. Chest. 1999;116:355–362.
    OpenUrlCrossRefPubMed
  13. 13.↵
    1. Bangalore S,
    2. Wetterslev J,
    3. Pranesh S,
    4. Sawhney S,
    5. Gluud C,
    6. Messerli FH
    . Perioperative beta blockers in patients having non-cardiac surgery: a meta-analysis. Lancet. 2008;372:1962–1976.
    OpenUrlCrossRefPubMed
  14. 14.↵
    1. Mangano DT
    . Adverse outcomes after surgery in the year 2001: a continuing odyssey. Anesthesiology. 1998;88:561–564.
    OpenUrlCrossRefPubMed
  15. 15.↵
    1. Mangano DT,
    2. Browner WS,
    3. Hollenberg M,
    4. London MJ,
    5. Tubau JF,
    6. Tateo IM
    . Association of perioperative myocardial ischemia with cardiac morbidity and mortality in men undergoing noncardiac surgery. The Study of Perioperative Ischemia Research Group. N Engl J Med. 1990;323:1781–1788.
    OpenUrlCrossRefPubMed
  16. 16.↵
    1. Dawood MM,
    2. Gutpa DK,
    3. Southern J,
    4. Walia A,
    5. Atkinson JB,
    6. Eagle KA
    . Pathology of fatal perioperative myocardial infarction: implications regarding pathophysiology and prevention. Int J Cardiol. 1996;57:37–44.
    OpenUrlCrossRefPubMed
  17. 17.↵
    1. Cohen MC,
    2. Aretz TH
    . Histological analysis of coronary artery lesions in fatal postoperative myocardial infarction. Cardiovasc Pathol. 1999;8:133–139.
    OpenUrlCrossRefPubMed
  18. 18.↵
    1. Landesberg G,
    2. Mosseri M,
    3. Zahger D,
    4. et al
    . Myocardial infarction after vascular surgery: the role of prolonged stress-induced, ST depression-type ischemia. J Am Coll Cardiol. 2001;37:1839–1845.
    OpenUrlCrossRefPubMed
  19. 19.↵
    1. Landesberg G
    . The pathophysiology of perioperative myocardial infarction: facts and perspectives. J Cardiothorac Vasc Anesth. 2003;17:90–100.
    OpenUrlCrossRefPubMed
  20. 20.↵
    1. Landesberg G,
    2. Beattie WS,
    3. Mosseri M,
    4. Jaffe AS,
    5. Alpert JS
    . Perioperative myocardial infarction. Circulation. 2009;119:2936–2944.
    OpenUrlFREE Full Text
  21. 21.↵
    1. Browner WS,
    2. Li J,
    3. Mangano DT
    . In-hospital and long-term mortality in male veterans following noncardiac surgery. The Study of Perioperative Ischemia Research Group. JAMA. 1992;268:228–232.
    OpenUrlCrossRefPubMed
  22. 22.↵
    1. Boucher CA,
    2. Brewster DC,
    3. Darling RC,
    4. Okada RD,
    5. Strauss HW,
    6. Pohost GM
    . Determination of cardiac risk by dipyridamole-thallium imaging before peripheral vascular surgery. N Engl J Med. 1985;312:389–394.
    OpenUrlPubMed
  23. 23.↵
    1. Leppo J,
    2. Plaja J,
    3. Gionet M,
    4. Tumolo J,
    5. Paraskos JA,
    6. Cutler BS
    . Noninvasive evaluation of cardiac risk before elective vascular surgery. J Am Coll Cardiol. 1987;9:269–276.
    OpenUrlPubMed
  24. 24.↵
    1. Fleisher LA,
    2. Rosenbaum SH,
    3. Nelson AH,
    4. Jain D,
    5. Wackers FJ,
    6. Zaret BL
    . Preoperative dipyridamole thallium imaging and ambulatory electrocardiographic monitoring as a predictor of perioperative cardiac events and long-term outcome. Anesthesiology. 1995;83:906–917.
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Hashimoto J,
    2. Suzuki T,
    3. Nakahara T,
    4. Kosuda S,
    5. Kubo A
    . Preoperative risk stratification using stress myocardial perfusion scintigraphy with electrocardiographic gating. J Nucl Med. 2003;44:385–390.
    OpenUrlAbstract/FREE Full Text
  26. 26.↵
    1. McFalls EO,
    2. Doliszny KM,
    3. Grund F,
    4. Chute E,
    5. Chesler E
    . Angina and persistent exercise thallium defects: independent risk factors in elective vascular surgery. J Am Coll Cardiol. 1993;21:1347–1352.
    OpenUrlPubMed
  27. 27.↵
    1. Lette J,
    2. Waters D,
    3. Cerino M,
    4. Picard M,
    5. Champagne P,
    6. Lapointe J
    . Preoperative coronary artery disease risk stratification based on dipyridamole imaging and a simple three-step, three-segment model for patients undergoing noncardiac vascular surgery or major general surgery. Am J Cardiol. 1992;69:1553–1558.
    OpenUrlCrossRefPubMed
  28. 28.↵
    1. Marshall ES,
    2. Raichlen JS,
    3. Forman S,
    4. Heyrich GP,
    5. Keen WD,
    6. Weitz HH
    . Adenosine radionuclide perfusion imaging in the preoperative evaluation of patients undergoing peripheral vascular surgery. Am J Cardiol. 1995;76:817–821.
    OpenUrlCrossRefPubMed
  29. 29.↵
    1. Koutelou MG,
    2. Asimacopoulos PJ,
    3. Mahmarian JJ,
    4. Kimball KT,
    5. Verani MS
    . Preoperative risk stratification by adenosine thallium 201 single-photon emission computed tomography in patients undergoing vascular surgery. J Nucl Cardiol. 1995;2:389–394.
    OpenUrlCrossRefPubMed
  30. 30.↵
    1. Lette J,
    2. Waters D,
    3. Bernier H,
    4. et al
    . Preoperative and long-term cardiac risk assessment: predictive value of 23 clinical descriptors, 7 multivariate scoring systems, and quantitative dipyridamole imaging in 360 patients. Ann Surg. 1992;216:192–204.
    OpenUrlCrossRefPubMed
  31. 31.↵
    1. Etchells E,
    2. Meade M,
    3. Tomlinson G,
    4. Cook D
    . Semiquantitative dipyridamole myocardial stress perfusion imaging for cardiac risk assessment before noncardiac vascular surgery: a meta-analysis. J Vasc Surg. 2002;36:534–540.
    OpenUrlCrossRefPubMed
  32. 32.↵
    1. Elhendy A,
    2. Schinkel AF,
    3. van Domburg RT,
    4. Bax JJ,
    5. Poldermans D
    . Differential prognostic significance of peri-infarction versus remote myocardial ischemia on stress technetium-99m sestamibi tomography in patients with healed myocardial infarction. Am J Cardiol. 2004;94:289–293.
    OpenUrlCrossRefPubMed
  33. 33.↵
    1. Abidov A,
    2. Bax JJ,
    3. Hayes SW,
    4. et al
    . Transient ischemic dilation ratio of the left ventricle is a significant predictor of future cardiac events in patients with otherwise normal myocardial perfusion SPECT. J Am Coll Cardiol. 2003;42:1818–1825.
    OpenUrlCrossRefPubMed
  34. 34.↵
    1. Rozanski A,
    2. Gransar H,
    3. Wong ND,
    4. et al
    . Clinical outcomes after both coronary calcium scanning and exercise myocardial perfusion scintigraphy. J Am Coll Cardiol. 2007;49:1352–1361.
    OpenUrlCrossRefPubMed
  35. 35.↵
    1. Chang SM,
    2. Nabi F,
    3. Xu J,
    4. et al
    . The coronary artery calcium score and stress myocardial perfusion imaging provide independent and complementary prediction of cardiac risk. J Am Coll Cardiol. 2009;54:1872–1882.
    OpenUrlCrossRefPubMed
  36. 36.↵
    1. Borges-Neto S,
    2. Tuttle RH,
    3. Shaw LK,
    4. et al
    . Outcome prediction in patients at high risk for coronary artery disease: comparison between 99mTc tetrofosmin and 99mTc sestamibi. Radiology. 2004;232:58–65.
    OpenUrlPubMed
  37. 37.↵
    1. Hachamovitch R,
    2. Hayes S,
    3. Friedman JD,
    4. et al
    . Determinants of risk and its temporal variation in patients with normal stress myocardial perfusion scans: what is the warranty period of a normal scan? J Am Coll Cardiol. 2003;41:1329–1340.
    OpenUrlCrossRefPubMed
  38. 38.↵
    1. Polanczyk CA,
    2. Marcantonio E,
    3. Goldman L,
    4. et al
    . Impact of age on perioperative complications and length of stay in patients undergoing noncardiac surgery. Ann Intern Med. 2001;134:637–643.
    OpenUrlCrossRefPubMed
  39. 39.↵
    1. Hachamovitch R,
    2. Kang X,
    3. Amanullah AM,
    4. et al
    . Prognostic implications of myocardial perfusion single-photon emission computed tomography in the elderly. Circulation. 2009;120:2197–2206.
    OpenUrlAbstract/FREE Full Text
  40. 40.↵
    1. Bai J,
    2. Hashimoto J,
    3. Nakahara T,
    4. Suzuki T,
    5. Kubo A
    . Influence of ageing on perioperative cardiac risk in non-cardiac surgery. Age Ageing. 2007;36:68–72.
    OpenUrlAbstract/FREE Full Text
  41. 41.↵
    1. Liu LL,
    2. Wiener-Kronish JP
    . Preoperative cardiac evaluation of women for noncardiac surgery. Cardiol Clin. 1998;16:59–66.
    OpenUrlCrossRefPubMed
  42. 42.↵
    1. Weiner DA,
    2. Ryan TJ,
    3. McCabe CH,
    4. et al
    . Exercise stress testing: correlations among history of angina, ST-segment response and prevalence of coronary-artery disease in the Coronary Artery Surgery Study (CASS). N Engl J Med. 1979;301:230–235.
    OpenUrlCrossRefPubMed
  43. 43.↵
    1. Manzullo EF,
    2. Weed HG
    . Perioperative issues in patients with cancer. Med Clin North Am. 2003;87:243–256.
    OpenUrlCrossRefPubMed
  44. 44.↵
    1. Chang K,
    2. Sarkiss M,
    3. Won KS,
    4. Swafford J,
    5. Broemeling L,
    6. Gayed I
    . Preoperative risk stratification using gated myocardial perfusion studies in patients with cancer. J Nucl Med. 2007;48:344–348.
    OpenUrlAbstract/FREE Full Text
  45. 45.↵
    1. Brunelli A,
    2. Monteverde M,
    3. Al Refai M,
    4. Fianchini A
    . Stair climbing test as a predictor of cardiopulmonary complications after pulmonary lobectomy in the elderly. Ann Thorac Surg. 2004;77:266–270.
    OpenUrlCrossRefPubMed
  46. 46.↵
    1. Datta D,
    2. Lahiri B
    . Preoperative evaluation of patients undergoing lung resection surgery. Chest. 2003;123:2096–2103.
    OpenUrlCrossRefPubMed
  47. 47.↵
    1. Jaroszewski DE,
    2. Huh J,
    3. Chu D,
    4. et al
    . Utility of detailed preoperative cardiac testing and incidence of post-thoracotomy myocardial infarction. J Thorac Cardiovasc Surg. 2008;135:648–655.
    OpenUrlCrossRefPubMed
  48. 48.↵
    1. Miller TD,
    2. Christian TF,
    3. Hodge DO,
    4. Mullan BP,
    5. Gibbons RJ
    . Prognostic value of exercise thallium-201 imaging performed within 2 years of coronary artery bypass graft surgery. J Am Coll Cardiol. 1998;31:848–854.
    OpenUrlCrossRefPubMed
  49. 49.↵
    1. Zellweger MJ,
    2. Lewin HC,
    3. Lai S,
    4. et al
    . When to stress patients after coronary artery bypass surgery? Risk stratification in patients early and late post-CABG using stress myocardial perfusion SPECT: implications of appropriate clinical strategies. J Am Coll Cardiol. 2001;37:144–152.
    OpenUrlCrossRefPubMed
  50. 50.↵
    1. Reilly DF,
    2. McNeely MJ,
    3. Doerner D,
    4. et al
    . Self-reported exercise tolerance and the risk of serious perioperative complications. Arch Intern Med. 1999;159:2185–2192.
    OpenUrlCrossRefPubMed
  51. 51.↵
    1. Abidov A,
    2. Rozanski A,
    3. Hachamovitch R,
    4. et al
    . Prognostic significance of dyspnea in patients referred for cardiac stress testing. N Engl J Med. 2005;353:1889–1898.
    OpenUrlCrossRefPubMed
  52. 52.↵
    1. Fleisher LA,
    2. Beckman JA,
    3. Brown KA,
    4. et al
    . ACC/AHA 2007 guidelines on perioperative cardiovascular evaluation and care for noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Revise the 2002 Guidelines on Perioperative Cardiovascular Evaluation for Noncardiac Surgery): developed in collaboration with the American Society of Echocardiography, American Society of Nuclear Cardiology, Heart Rhythm Society, Society of Cardiovascular Anesthesiologists, Society for Cardiovascular Angiography and Interventions, Society for Vascular Medicine and Biology, and Society for Vascular Surgery. Circulation. 2007;116:e418–e499.
    OpenUrlFREE Full Text
  53. 53.↵
    1. Kertai MD,
    2. Boersma E,
    3. Bax JJ,
    4. et al
    . A meta-analysis comparing the prognostic accuracy of six diagnostic tests for predicting perioperative cardiac risk in patients undergoing major vascular surgery. Heart. 2003;89:1327–1334.
    OpenUrlAbstract/FREE Full Text
  54. 54.↵
    1. Beattie WS,
    2. Abdelnaem E,
    3. Wijeysundera DN,
    4. Buckley DN
    . A meta-analytic comparison of preoperative stress echocardiography and nuclear scintigraphy imaging. Anesth Analg. 2006;102:8–16.
    OpenUrlCrossRefPubMed
  55. 55.↵
    1. Bart BA,
    2. Erlien DA,
    3. Herzog CA,
    4. Asinger RW
    . Marked differences between patients referred for stress echocardiography and myocardial perfusion imaging studies. Am Heart J. 2005;149:888–893.
    OpenUrlCrossRefPubMed
  56. 56.↵
    1. Halm EA,
    2. Browner WS,
    3. Tubau JF,
    4. Tateo IM,
    5. Mangano DT
    . Echocardiography for assessing cardiac risk in patients having noncardiac surgery. Study of Perioperative Ischemia Research Group. Ann Intern Med. 1996;125:433–441.
    OpenUrlCrossRefPubMed
  57. 57.↵
    1. Kontos MC,
    2. Brath LK,
    3. Akosah KO,
    4. Mohanty PK
    . Cardiac complications in noncardiac surgery: relative value of resting two-dimensional echocardiography and dipyridamole thallium imaging. Am Heart J. 1996;132:559–566.
    OpenUrlCrossRefPubMed
  58. 58.↵
    1. Gordon AJ,
    2. Macpherson DS
    . Guideline chaos: conflicting recommendations for preoperative cardiac assessment. Am J Cardiol. 2003;91:1299–1303.
    OpenUrlCrossRefPubMed
  59. 59.↵
    Guidelines for assessing and managing the perioperative risk from coronary artery disease associated with major noncardiac surgery. American College of Physicians. Ann Intern Med. 1997;127:309–312.
    OpenUrlCrossRefPubMed
  60. 60.↵
    1. Weinstein H,
    2. Spaltro B,
    3. Steingart RM
    . Are American College of Cardiology/American Heart Association preoperative practice guidelines for stress testing followed? [abstract]. J Am Coll Cardiol. 2004;43:402A.
    OpenUrl
  61. 61.↵
    1. Kayano D,
    2. Nakajima K,
    3. Ohtake H,
    4. Kinuya S
    . Gated myocardial perfusion SPECT for preoperative risk stratification in patients with noncardiac vascular disease. Ann Nucl Med. 2009;23:173–181.
    OpenUrlCrossRefPubMed
  62. 62.↵
    1. Stratmann HG,
    2. Younis LT,
    3. Wittry MD,
    4. Amato M,
    5. Mark AL,
    6. Miller DD
    . Dipyridamole technetium 99m sestamibi myocardial tomography for preoperative cardiac risk stratification before major or minor nonvascular surgery. Am Heart J. 1996;132:536–541.
    OpenUrlCrossRefPubMed
  63. 63.↵
    1. Van Damme H,
    2. Pierard L,
    3. Gillain D,
    4. Benoit T,
    5. Rigo P,
    6. Limet R
    . Cardiac risk assessment before vascular surgery: a prospective study comparing clinical evaluation, dobutamine stress echocardiography, and dobutamine Tc-99m sestamibi tomoscintigraphy. Cardiovasc Surg. 1997;5:54–64.
    OpenUrlCrossRefPubMed
  64. 64.↵
    1. Younis L,
    2. Stratmann H,
    3. Takase B,
    4. Byers S,
    5. Chaitman BR,
    6. Miller DD
    . Preoperative clinical assessment and dipyridamole thallium-201 scintigraphy for prediction and prevention of cardiac events in patients having major noncardiovascular surgery and known or suspected coronary artery disease. Am J Cardiol. 1994;74:311–317.
    OpenUrlCrossRefPubMed
  65. 65.↵
    1. Kresowik TF,
    2. Bower TR,
    3. Garner SA,
    4. et al
    . Dipyridamole thallium imaging in patients being considered for vascular procedures. Arch Surg. 1993;128:299–302.
    OpenUrlCrossRefPubMed
  66. 66.↵
    1. Fleisher LA,
    2. Eagle KA,
    3. Shaffer T,
    4. Anderson GF
    . Perioperative- and long-term mortality rates after major vascular surgery: the relationship to preoperative testing in the Medicare population. Anesth Analg. 1999;89:849–855.
    OpenUrlCrossRefPubMed
  67. 67.↵
    1. Baron JF,
    2. Mundler O,
    3. Bertrand M,
    4. et al
    . Dipyridamole-thallium scintigraphy and gated radionuclide angiography to assess cardiac risk before abdominal aortic surgery. N Engl J Med. 1994;330:663–669.
    OpenUrlCrossRefPubMed
  68. 68.↵
    1. Lette J,
    2. Waters D,
    3. Champagne P,
    4. Picard M,
    5. Cerino M,
    6. Lapointe J
    . Prognostic implications of a negative dipyridamole-thallium scan: results in 360 patients. Am J Med. 1992;92:615–620.
    OpenUrlCrossRefPubMed
  69. 69.↵
    1. Mangano DT,
    2. London MJ,
    3. Tubau JF,
    4. et al
    . Dipyridamole thallium-201 scintigraphy as a preoperative screening test: a reexamination of its predictive potential. Study of Perioperative Ischemia Research Group. Circulation. 1991;84:493–502.
    OpenUrlAbstract/FREE Full Text
  70. 70.↵
    1. Coley CM,
    2. Field TS,
    3. Abraham SA,
    4. Boucher CA,
    5. Eagle KA
    . Usefulness of dipyridamole-thallium scanning for preoperative evaluation of cardiac risk for nonvascular surgery. Am J Cardiol. 1992;69:1280–1285.
    OpenUrlCrossRefPubMed
  71. 71.↵
    1. Hashimoto J,
    2. Nakahara T,
    3. Bai J,
    4. Kitamura N,
    5. Kasamatsu T,
    6. Kubo A
    . Preoperative risk stratification with myocardial perfusion imaging in intermediate and low-risk non-cardiac surgery. Circ J. 2007;71:1395–1400.
    OpenUrlCrossRefPubMed
  72. 72.↵
    1. Bai J,
    2. Hashimoto J,
    3. Nakahara T,
    4. Kitamura N,
    5. Suzuki T,
    6. Kubo A
    . Preoperative risk evaluation in diabetic patients without angina. Diabetes Res Clin Pract. 2008;81:150–154.
    OpenUrlCrossRefPubMed
  73. 73.↵
    1. Cutler BS,
    2. Hendel RC,
    3. Leppo JA
    . Dipyridamole-thallium scintigraphy predicts perioperative and long-term survival after major vascular surgery. J Vasc Surg. 1992;15:972–979.
    OpenUrlCrossRefPubMed
  74. 74.↵
    1. Cutler BS,
    2. Leppo JA
    . Dipyridamole thallium 201 scintigraphy to detect coronary artery disease before abdominal aortic surgery. J Vasc Surg. 1987;5:91–100.
    OpenUrlCrossRefPubMed
  75. 75.↵
    1. Eagle KA,
    2. Coley CM,
    3. Newell JB,
    4. et al
    . Combining clinical and thallium data optimizes preoperative assessment of cardiac risk before major vascular surgery. Ann Intern Med. 1989;110:859–866.
    OpenUrlCrossRefPubMed
  76. 76.↵
    1. Younis LT,
    2. Aguirre F,
    3. Byers S,
    4. et al
    . Perioperative and long-term prognostic value of intravenous dipyridamole thallium scintigraphy in patients with peripheral vascular disease. Am Heart J. 1990;119:1287–1292.
    OpenUrlCrossRefPubMed
  • Received for publication August 27, 2010.
  • Accepted for publication February 16, 2011.
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 52 (5)
Journal of Nuclear Medicine
Vol. 52, Issue 5
May 1, 2011
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Myocardial Perfusion Imaging for Preoperative Risk Stratification
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
Myocardial Perfusion Imaging for Preoperative Risk Stratification
Howard Weinstein, Richard Steingart
Journal of Nuclear Medicine May 2011, 52 (5) 750-760; DOI: 10.2967/jnumed.110.076158

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Myocardial Perfusion Imaging for Preoperative Risk Stratification
Howard Weinstein, Richard Steingart
Journal of Nuclear Medicine May 2011, 52 (5) 750-760; DOI: 10.2967/jnumed.110.076158
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Abstract
    • THE NATURE OF SURGICAL RISK ASSESSMENT
    • DEFINITION OF RISK
    • PATHOPHYSIOLOGY OF PERIOPERATIVE MI: DETECTION OF PATHOLOGIC SUBSTRATE BY MPI
    • PERFORMANCE OF MPI FOR PERIOPERATIVE RISK STRATIFICATION THROUGH THE DECADES
    • IMAGE INTERPRETATION: SCAN INDICATORS OF PERIOPERATIVE RISK
    • PROGNOSTIC IMAGING CONSIDERATIONS FROM NONSURGICAL POPULATIONS WITH POTENTIAL APPLICATION TO PREOPERATIVE RISK STRATIFICATION
    • PREOPERATIVE RISK STRATIFICATION IN SPECIAL POPULATIONS
    • IMPORTANCE OF DYSPNEA AND EXERCISE TOLERANCE
    • COMPARISON OF MPI TO OTHER MODALITIES
    • INTEGRATING MPI INTO PATIENT MANAGEMENT: RECOMMENDATIONS FROM PRACTICE GUIDELINES
    • KEY POINTS AND CONCLUSION
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Association Between Preoperative Myocardial Perfusion Imaging and Cardiac Events after Elective Noncardiac Surgery
  • Long-Term Prognostic Value of 82Rb PET/CT-Determined Myocardial Perfusion and Flow Reserve in Cancer Patients
  • Google Scholar

More in this TOC Section

  • Approaches to Imaging Immune Activation Using PET
  • Large Language Models and Large Multimodal Models in Medical Imaging: A Primer for Physicians
  • Precision Oncology in Melanoma: Changing Practices
Show more Continuing Education

Similar Articles

SNMMI

© 2025 SNMMI

Powered by HighWire