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Clinical Investigations |
1 Department of Molecular and Medical Pharmacology, Ahmanson Biological Imaging Clinic/Nuclear Medicine, UCLA School of Medicine, Los Angeles, California
2 Northern California PET Imaging Center, Sacramento, California
| ABSTRACT |
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Key Words: 18F-FDG PET lung cancer staging questionnaire
| INTRODUCTION |
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The glucose analog 18F-FDG is taken up by tumor cells and phosphorylated by hexokinase to 18F-FDG-6-PO4. Unlike glucose-6-PO4, 18F-FDG-6-PO4 cannot be metabolized in the glycolytic pathway and remains trapped intracellularly. Thus, the distribution of 18F-FDG-6-PO4 in normal and abnormal tissue can be imaged with PET.
Numerous studies have shown that 18F-FDG PET is highly accurate for diagnosing and staging lung cancer (8). 18F-FDG PET provides diagnostic information beyond that obtained through standard anatomic imaging modalities such as CT or MRI. In addition, retrospective studies and modeled decision tree analyses have suggested that the information provided by 18F-FDG PET affects management in 20%40% of all cases of cancer (9,10). Because reimbursement by public and private insurance organizations is now readily available, 18F-FDG PET is rapidly gaining acceptance in the medical community and is being incorporated into the staging and treatment algorithms used by medical, surgical, and radiation oncologists.
Several groups have reported that 18F-FDG PET has a considerable impact on the management of lung cancer (1113). However, referring physicians perspectives on the impact of 18F-FDG PET on staging and management of lung cancer are unknown.
We recently reported that referring physicians altered their decision on clinical stage in 42%, 44%, and 31% of patients with colorectal cancer, lymphoma, and breast cancer, respectively, because of PET findings. Further, management changes were prompted in response to clinical PET findings in 50% of patients (1416). The aim of the current study was to determine referring physicians perspectives on the impact of 18F-FDG PET on staging and management of lung cancer.
| MATERIALS AND METHODS |
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The questionnaire was considered completed if both the pre-PET and the post-PET sections were returned. The questionnaire was considered completed regardless of whether every question had been answered. Unanswered questions were identified as "no answer" in the tabulated results. If either the pre-PET or the post-PET section was not returned, the questionnaire was classified as incomplete and was excluded from further analysis. A web-based data management system was used for data collection and analysis (17).
Management changes were grouped into intermodality and intramodality categories. An intermodality change consisted of a management change between treatment modalities (e.g., surgery to medical treatment), and an intramodality change consisted of a management change within a treatment modality (e.g., change in chemotherapy regimen).
Image Acquisition and Reconstruction
Patients were scanned at 1 of 2 clinical PET centers: UCLA Medical Center (n = 278) or the Northern California PET Imaging Center (NCPIC; n = 466). Each PET scan was obtained on a high-resolution dedicated system (ECAT EXACT or ECAT HR+; CTI, Knoxville, TN/Siemens Medical Systems, Inc., Hoffman Estates, IL). The resolution for reconstructed images ranged from 8 to 12 mm. The characteristics of these scanners have been described previously (18,19). At UCLA Medical Center, nonattenuation-corrected images were reconstructed using standard filtered backprojection; at the NCPIC, iterative image reconstruction of attenuation-corrected images was performed (20,21).
All patients fasted for at least 6 h before receiving an intravenous injection of 370555 MBq 18F-FDG. A standard whole-body imaging protocol commencing 3060 min after injection was used at both sites. Referring physicians received by mail a written report of the PET scan within 1 wk of the scan date.
Statistical Analysis
Data were analyzed using the
2 test for homogeneity of proportions, with P < 0.05 as the criterion for significance.
2 goodness-of-fit tests were performed to assess the similarity of the distributions of responses (22).
| RESULTS |
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The management plan before PET consisted of surgery in 54% of lung cancer patients, medical treatment in 15%, radiation treatment in 6%, and no treatment in 10%. Only 2% of the respondents did not answer this question, and 4.5% stated that they had followed another, unspecified, pre-PET management plan. A combination of 2 or more of the management options was indicated by 8.5% of the physicians.
PET Influence on Clinical Stage
PET resulted in a change in the decision on clinical stage in 44% of all patients. The disease was upstaged in 29% and downstaged in 15%. In 51%, the clinical stage was not changed (5% of respondents did not answer the question). PET tended to have a greater impact on stage at 1 study site (NCPIC) (Table 2
), for unclear reasons. However, differences in patient population between a community PET center and an academic PET center may account for this observation.
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The specific types of inter- and intramodality changes in lung cancer management indicated by respondents are shown in Table 3
. For 18% of respondents, PET led to a management change from surgery or radiation therapy to medical or no treatment, whereas for 9% of respondents, PET led to a management change from medical or no treatment to surgery or radiation therapy.
| DISCUSSION |
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This survey of referring physicians showed that 18F-FDG PET has a major impact on the management of lung cancer. To our knowledge, this was the largest systematic survey of referring physicians attitudes on the value of PET for their lung cancer patients. Kalff et al. (13) used a similar approach to evaluate the impact of 18F-FDG PET on the management of lung cancer. They used physician interviews rather than questionnaires, and 18F-FDG PET resulted in a management change in 67% of patients with nonsmall cell lung cancer.
Our survey showed that PET led to a change in the decision on clinical stage in 44% of patients and an intermodality management change in 39%. These results did not differ between referrals made to the university imaging center and referrals made to the community-based imaging center. PET led to a treatment change from surgery or radiation therapy to medical or no treatment in 18% of patients and from medical or no treatment to surgery or radiation therapy in 9%. Of those patients for whom surgery was listed as the initial (pre-PET) treatment choice, 17% had a reported treatment change away from surgery (to radiation, medical, or no treatment). This finding was in keeping with several reports suggesting that PET reduced the number of surgical interventions in patients with lung cancer, thereby significantly improving patient management and reducing health care expenditures (24,25).
A simple, straightforward survey with short and relatively few questions was used to determine the impact of PET on disease stage and management. We recognize the shortcomings of the current approach. Stage has different meanings and implications for different types of cancer. For instance, the number of metastatic lesions in lung cancer does not affect the clinical stage, whereas the number of metastatic lesions may well alter the treatment modality. Thus, in some patients PET may have caused the decision on disease extent to be changed but not the decision on stage. This possibility may, in part, account for the observation that 21% and 9% of patients with reported inter- and intramodality changes, respectively, had no reported change in clinical stage. Other possible explanations for this discrepancy are that PET confirmed the absence or presence of disease that was suspected but not confirmed by other diagnostic tests. Another possibility is that some physicians incorrectly answered the questions on changes in staging or management.
Wagner (26) provided another explanation for the lack of management changes in some patients whose clinical stage was changed after PET. Physicians, before obtaining the PET results, might have been biased toward a management option that contradicted the work-up conclusions.
Another consequence of the use of a simple survey was that some questions remained unanswered (Tables 2
and 3
), likely because the questionnaire did not address certain problems specific to lung cancer. However, these concerns had to be weighed against the advantages of a straightforward format that was likely to result in higher response rates.
The current study had some limitations. First, the surveyed physicians were all users of PET. The reported impact on management may therefore have been biased toward favoring PET. It is likely that many physicians across a range of specialties are not fully educated about the indications for PET or are not convinced from the existing literature that PET adds useful information to that obtained from anatomic imaging.
The 37% response rate raises the possibility of respondent bias. Response rates among health care professionals have been reported to be affected by various factors, including physician appreciation of the scientific purpose and clinical value of a trial, the simplicity of a study protocol and questionnaires, ethical aspects, the quality of communication with the trial center, and financial incentives for the referring or participating physicians (2729). These factors may also explain why PET tended to have a greater impact on staging and management of lung cancer at 1 of our 2 study sites (NCPIC). Management changes occurred more frequently when disease was upstaged by PET than when it was downstaged (76% vs. 54%; P = 0.03). A probable explanation is that patients whose disease was downstaged by PET after treatment likely remained on the successful regimen, whereas those whose disease was upstaged required a management change.
A worst-case scenario is that only supporters of PET responded. Other parameters that may introduce a respondent bias relate to the type of cancer evaluated and the physicians level of specialization and interest in research. Varying levels of interest in the survey, the time required for a response, and other parameters affect response rates (27). In addition, better-informed physicians tend to respond more frequently to questionnaire studies.
The validity of the current results is nevertheless supported by several factors. First, respondents and nonrespondents did not significantly differ with regard to specialty. Second, the 2 participating institutions did not significantly differ with regard to response rate. Third, the respondents at both sites reported that PET had a considerable impact on staging and management decisions, indicating that physician attitudes toward PET are not unique to a single institution at a single geographic location. Fourth, even assuming a worst-case scenario in which all nonrespondents believed that PET did not alter staging decision or management, PET would still have resulted in changes in staging decision and management in 16% and 23% of patients, respectively. However, some respondents might have made the wrong clinical management decision on the basis of the PET findings.
It was beyond the scope of the current study to determine whether changes in treatment as a result of PET improved patient outcome. We can, however, infer from the published literature that management changes based on PET are justified by the high accuracy of this test for many indications. A large body of evidence showing the accuracy of PET for diagnosing and staging cancer supports referring physicians confidence in this technology. For example, a recent metaanalysis compared the accuracy of PET and CT for staging mediastinal lymph nodes in patients with nonsmall cell lung cancer (30). The authors reviewed 33 studies, which included 514 patients studied with PET and 2,226 patients studied with CT. They concluded that both sensitivity (79% vs. 60%) and specificity (91% vs. 77%) were higher for PET than for CT. This and several other studies on various types of cancer support management changes guided by PET results (31,32). A rigorous decision tree sensitivity analysis for the cost-effectiveness of 18F-FDG PET has shown that combining PET and CT for the staging of lung cancer is more economical than is the conventional strategy of staging through CT alone (25).
This evidence and the recent approval for reimbursement for 5 major oncologic indications by the Health Care Financing Administration and by many private insurance companies have led to the increased use and acceptance of PET by physicians. As PET technology becomes more readily available at community medical centers, it is important to understand the influence of PET on the routine clinical management of cancer. Previous investigations of the impact of PET on management have primarily been retrospective and have included few patients. Weng et al. (33) reported a higher diagnostic accuracy for the combined use of PET and CT than for the use PET or CT alone for staging lung cancer. To determine PET-based clinical management changes, Weng et al. also performed a retrospective analysis of medical records and images. That analysis suggested that PET altered management in 12 of 50 patients (24%). Saunders et al. (34) reported that mediastinal lymph node staging is more accurate by PET than by CT. In their study of 97 patients with lung cancer, PET correctly altered the decision on clinical stage in 27% of patients and detected distant unknown metastases in 13%. PET resulted in clinical management changes in 37% of patients: For 15 patients, surgery was cancelled; for 11, surgery was performed because suspected metastatic disease was correctly excluded; for 4, surgery was performed because the diagnosis of lung cancer was suggested by PET; and for 6, further evaluation was required. Pieterman et al. (35) recently reported that 18F-FDG PET altered the clinical stage in 60% of their lung cancer patients. Unknown distant metastases were detected in 11% of the patients. Thus, the impact of 18F-FDG PET on the decision on the clinical stage of lung cancer was even more pronounced in a prospective study than in the current survey.
| CONCLUSION |
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| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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For correspondence or reprints contact: Johannes Czernin, MD, Department of Molecular and Medical Pharmacology, Ahmanson Biological Imaging Clinic/Nuclear Medicine, UCLA School of Medicine, AR-259 CHS, 10833 LeConte Ave., Los Angeles, CA 90095-6948.
E-mail: jczernin{at}mednet.ucla.edu
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