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Preoperative F-18 Fluorodeoxyglucose-Positron Emission Tomography Maximal Standardized Uptake Value Predicts Survival After Lung Cancer Resection

From the Thoracic Surgery Service, the Division of Nuclear Medicine, and the Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY

Address reprint requests to Robert J. Downey, MD, Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10021; e-mail: downeyr{at}mskcc.org

PURPOSE: A retrospective review of surgically treated lung cancer patients imaged preoperatively by F-18 fluorodeoxyglucose–positron emission tomography ([¹⁸F]FDG-PET) to determine if the primary tumor standardized uptake value (SUV) predicts survival.

PATIENTS AND METHODS: Non–small-cell lung cancer or carcinoid pT1–4, N0–2, M0 patients treated by R0 surgical resection alone were imaged with computed tomography scan and PET within 90 days before surgery. Prognostic variables were assessed by log-rank test; survival was assessed by the method of Kaplan and Meier.

RESULTS: One hundred consecutive patients (48 men, 52 women) were retrospectively reviewed. Median follow-up for surviving patients was 28 months (range, 16 to 81 months). Median maximal SUV (SUV_MAX) was 9. The 2-year survival for patients with SUV_MAX more than 9 was 68% and for those with SUV_MAX less than 9, it was 96% (P < .01, log-rank test). In a multivariate analysis including pathologic tumor size, involved nodes, histology, and SUV_MAX, only tumor size (T) more than 3 cm and SUV_MAX more than 9 and their interaction were significant predictors of survival (P = .01, 0.02, and < 0.01, respectively). The 3-year survivals for patients with both T less than 3 cm and SUV_MAX less than 9 was 97%; for those with T less than 3 cm and SUV_MAX more than 9, it was 94%; for those with T more than 3 cm and SUV_MAX less than 9, it was 93%; and for those with T more than 3 cm and SUV_MAX more than 9, it was 47% (P < .01).

CONCLUSION: In surgically managed lung cancer patients, SUV is a predictor of overall survival after resection. The addition of SUV_MAX to pathologic tumor size identifies a subgroup of patients at highest risk for death as a result of recurrent disease after resection.

Authors’ disclosures of potential conflicts of interest are found at the end of this article.

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