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Clinical Investigation |
1 Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia; 2 Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia; 3 Division of Nuclear Medicine, Mallinckrodt Institute of Radiology, School of Medicine, Washington University, St. Louis, Missouri; 4 Siteman Cancer Center, School of Medicine, Washington University, St. Louis, Missouri; 5 Karmanos Cancer Institute, Wayne State University, Detroit, Michigan; 6 Center for Statistical Sciences, Brown University, Providence, Rhode Island; and 7 Department of Radiology, School of Medicine, Duke University, Durham, North Carolina
Correspondence: For correspondence or reprints contact: Bruce E. Hillner, Virginia Commonwealth University, 1101 E. Marshall St., Room 7013, Richmond, VA 23298-0170. E-mail: Hillner{at}vcu.edu
| ABSTRACT |
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Key Words: PET cancer registry prospective studies
| INTRODUCTION |
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We recently reported aggregate results from the first year of data collected by the NOPR on the impact of the use of PET for cancer diagnosis, initial staging, restaging, or detection of suspected recurrences of previously noncovered cancers in Medicare beneficiaries (5). Overall, we found that the impact of PET on intended management for these previously noncovered cancers was similar to that previously reported for covered cancers. For the purposes of guiding clinical practice and shaping coverage policy, it is important to determine the relative effects of PET for different cancer types and indications for testing. In this article, we report results by cancer type for the first 2 y of data collected by the NOPR from 40,863 PET scans. We restricted our analysis to the use of PET for staging, restaging, or detection of suspected recurrences in patients with pathologically proven cancers.
| MATERIALS AND METHODS |
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In brief, the PET facility is responsible for collecting information from the referring physician on a "pre-PET" form and a "post-PET form." The pre-PET form focuses on information regarding the specific indication for testing; the patient's cancer type (if known) and working stage assessment; the patient's performance status; whether the referring physician will also be the treating physician; and the referring physician's management plan if PET were not available. Once a PET scan has been completed, the PET facility uploads the PET report to the database. The final step is the completion of the post-PET form by the referring physician to assess the management plan in light of the PET findings.
Data collection is conducted in accordance with a protocol approved by the American College of Radiology Institutional Review Board. The research database consists only of cases in which both patient and physician have given consent.
Outcomes
As we reported previously (5), the primary endpoint was the impact of PET on physicians' intended management. Intended management was dichotomized as either treatment (e.g., surgery, chemotherapy, radiation, or other treatment, alone or in combination) or nontreatment (e.g., observation, noninvasive imaging, biopsy, or supportive care). A change in management was defined as a switch from treatment to nontreatment or vice versa. In our previous report (5), we noted that PET led to a change in intended management in 36.5% of cases; a switch from treatment to nontreatment was 3-fold more likely than the converse.
The inclusion of cases for which the plan before PET was imaging may have overestimated the impact of PET. Specifically, it is possible that, if these patients had alternatively undergone another type of imaging (e.g., CT or MRI), the management plan after that imaging would have been the same as the management plan after PET. To address this concern, we performed a sensitivity analysis in which all cases for which the initial management plan was additional imaging were considered to have no change in management. Specifically, cases in which the plan before PET was another type of imaging and the plan after PET was treatment were excluded from the numerator but included in the denominator in calculating the frequency of a management change. We believe that the resulting estimate represents a lower boundary of the impact of PET on intended management with respect to our primary endpoint. This calculated frequency was subsequently referred to as the "imaging-adjusted impact."
Alternative endpoints also were assessed as previously reported (5). These approaches assessed how often the intent of planned therapies changed from curative to palliative (or vice versa) or how often a change in the type of therapy or the number of therapies (as an indirect indicator of care intensity) occurred.
Statistical Analysis
A change in intended management after PET was modeled as a binary variable on the basis of a binomial distribution. Changes were defined at the PET scan level and were assumed to be independent for different patients, cancer types, or indications for testing. A total of 13.6% of patients in the cohort (see later discussion) had 2 or more scans; however, because almost all of the multiple scans were obtained for different indications in the cancer care continuum (initial staging, restaging, or detection of suspected recurrence) over a potential 2-y period, they were treated as independent scans.
Changes in the intended management plan were analyzed for each cancer type and specific indication for testing. Only combinations of cancer types and indications with at least 200 cases were separately reported; cancer types with at least 500 cases across all indications also were separately reported. An association between 2 binary variables was quantified with an odds ratio, which was constructed by removing a base group from the entire cohort and then comparing changes in that base group with changes in the remaining cases in the cohort. For example, a change in management for prostate cancer was compared with that for all nonprostate cancers. When multiple testing was involved, a Bonferroni correction was applied to the P values. All 95% confidence intervals (CI) were 2-sided and were calculated with gaussian approximation. All statistical analyses were performed with SAS version 9.1 (SAS Institute Inc.).
| RESULTS |
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The final analysis cohort thus consisted of 40,863 scans performed in 34,536 patients; 14,365 scans were for initial staging of newly diagnosed cancer, 14,584 scans were for restaging of cancer after completion of a course of treatment, and 11,914 scans were for the evaluation of a suspected recurrence of a previously treated cancer.
Participating Centers and Patient Profiles
Table 1 summarizes the cohort demographics. The mean patient age was 72.4 y. There were nearly equal numbers of men and women. Most patients (88.2%) had an Eastern Cooperative Oncology Group performance status of 0 or 1. The summary cancer stage before PET was judged as no evidence of disease in 12.0% of cases, locoregional disease in 33.5%, metastatic disease in 29.4%, and unknown or uncertain in 25.1%. Most of the scans (88.7%) were obtained with a PET/CT scanner. Patients were enrolled from 1,368 PET centers across the United States. As noted earlier, 34,536 patients participated; 86.4% of patients had a single scan, and 13.6% had 2 or more scans.
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The frequency of a change in intended management by cancer type ranged from a low of 31.4% for nonmelanoma skin cancers to a high of 48.7% for myeloma. The frequency of a change in intended management for 7 of the 16 cancer types differed significantly from that for all other types, as indicated by the odds ratio. Myeloma was the only cancer type among these 7 with an odds ratio (1.58) that was notably different from 1.0.
Table 2 also shows the imaging-adjusted impact of PET on intended management. Overall, the imaging-adjusted impact of PET was 14.7% (95% CI = 14.3%–15.0%); the cancer-specific values varied relatively little, ranging from a low of 9.6% for nonmelanoma skin cancers to 16.2% for ovarian cancer. The imaging-adjusted impact of PET for myeloma (11.5%) was lower than the average for all cancers.
Table 3 shows that, as previously reported, a change from nontreatment to treatment was substantially more likely than a change from treatment to nontreatment (30.0% vs. 8.0% overall), and this was true across all cancer types. Table 3 also shows modifications in intended management when the plan before PET was treatment. A change in the goal of treatment from curative to palliative (or vice versa) occurred in 14.1% of cases overall, with relatively little variation as a function of cancer type (range = 10.0%–18.2%). In 15.1% of cases (range = 7.3%–20.7%), when treatment was planned before PET, the plan after PET was changed to either supportive care or observation; this change occurred most often in cancer of the kidney and least often in other female genital cancers. A major change in planned treatment (e.g., from surgery to chemotherapy) occurred in 8.6% of cases overall (range = 5.1%–14.7%), most often in tumors of the liver and intrahepatic bile ducts and least often in myeloma and nonmelanoma skin cancers. A minor change in planned treatment (e.g., the addition or deletion of a mode of therapy) was more common (23.3% of cases overall) and occurred most frequently in cervical cancer (34.7%) and least frequently in myeloma (9.7%).
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| DISCUSSION |
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Our initial report of overall NOPR results (5) included data for PET scans obtained in some patients without documented cancer or with cancer of undocumented origin; these scans were obtained to determine whether a suspect lesion was cancer, to detect a primary tumor site in a patient with a presumed paraneoplastic syndrome, or to detect a primary tumor site in a patient with confirmed or strongly suspected metastatic disease. For the current analysis of the results for individual cancer types, we excluded data collected for these cancer diagnosis indications, because our goal was to assess the performance of PET in relation to cancer type and this goal required limiting the dataset to pathologically confirmed cancers of known origins. The impact of PET in an expanded cohort for these cancer diagnosis indications will be reported separately.
Our analysis of the imaging-adjusted impact of PET on intended management showed an overall change in 14.7% of patients, with a modestly higher impact in the subset of patients referred for the detection of suspected recurrences. As noted earlier, this imaging-adjusted impact estimate can be considered a hypothetical lower boundary of the impact of PET, but the true impact is likely to be higher. This is because it has been amply documented that PET is generally more sensitive and specific than CT, MRI, or other imaging methods for the detection of cancer (on both a patient basis and a lesion basis) (8–11). Moreover, it has been shown that the improved accuracy of PET compared with conventional imaging methods leads to more frequent upstaging or downstaging and, accordingly, to more frequent management changes.
The imaging-adjusted impact of PET seemed to show less variation across cancer types than did the primary nontreatment–treatment endpoint. The reasons for this finding are unclear. The NOPR did not collect information about whether and when other imaging procedures may have been performed before PET. Thus, we are unable to determine which of several possible circumstances might have led referring physicians to select another type of imaging as their intended management plan if PET was not available. Possible circumstances include situations in which PET was requested as the first imaging test instead of as an alternative imaging procedure, PET was requested after CT or MRI of one body region to evaluate the rest of the body (the alternative being to perform CT or MRI of the rest of the body), PET was requested immediately after inconclusive CT (the alternative being to perform MRI), or PET was requested for interval follow-up of previously inconclusive findings on CT or MRI (the alternative being to repeat those tests).
The NOPR data provide no direct insights into the factors that influence a referring physician to order PET during the continuum of care of a cancer patient. The practice-based nature of the NOPR data and our primary finding of little variation in impact across cancer types—despite the expectation that PET would be of limited value for some cancers, such as those that are typically considered to have relatively poor 18F-FDG avidity (e.g., prostate carcinoma (12))—may indicate that referring physicians are quite selective in ordering PET.
To estimate the number of patients potentially eligible for participation in the NOPR, we obtained incidence data by cancer type for patients over age 65 from the United States Cancer Statistics for 2004 (the most recent year for which data are available) (13). These were compared with the numbers of NOPR PET scans in 2007 for the same cancer types for patients over age 65. Using this simple approximation, we estimated that for most cancer types, between 10% and 20% of patients participated in the NOPR. Our estimate ranged from a low of about 3% of prostate cancer patients to about 38% of ovarian cancer patients (data not shown).
| CONCLUSION |
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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| References |
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