PURPOSE: This prospective study evaluated the prognostic significance of (18)F-fluorodeoxyglucose ((18)F-FDG) uptake in primary non-small cell lung cancer (NSCLC) at positron emission tomography, in a carefully staged population, while correcting for partial volume effects. EXPERIMENTAL DESIGN: Two hundred eight potentially resectable NSCLC patients were referred for FDG positron emission tomography staging after thoracic computed tomography. Each tumor stage was confirmed surgically, or for some stage IV tumors by additional imaging. The tumor maximum pixel-standardized uptake value (maxSUV) and the maxSUV partial volume corrected for lesion size (PVCmaxSUV) were compared with overall survival and disease-free survival using Cox proportional hazards regression. RESULTS: Stage distribution: stage I, 36%; stage II, 15%; stage III, 30%; stage IV, 19%. Patients were followed for a median of 33.6 months, with 90 deaths from NSCLC (median survival for all stages, 43.3 months). With respect to overall survival, the most significant cutoff value for both maxSUV and PVCmaxSUV was 7. MaxSUV > or =7 was significantly associated with an increased risk of death from NSCLC in univariable analysis, whereas PVCmaxSUV > or =7 was only marginally associated. However, in multivariable analyses, neither maxSUV > or =7 nor PVCmaxSUV > or =7 provided significant additional prognostic information over stage, tumor size, and age. In the 103 patients who underwent surgical resection only, surgical stage, but not maxSUV or PVCmaxSUV, was univariably associated with survival or recurrence. SUV definitions based on lean body mass, body surface area, and plasma glucose correction yielded identical results. CONCLUSIONS: As expected, tumor stage is prognostic in NSCLC. However, tumor FDG uptake does not provide additional prognostic information. This prospective study contradicts prior reports.
PURPOSE: This prospective study evaluated the prognostic significance of (18)F-fluorodeoxyglucose ((18)F-FDG) uptake in primary non-small cell lung cancer (NSCLC) at positron emission tomography, in a carefully staged population, while correcting for partial volume effects. EXPERIMENTAL DESIGN: Two hundred eight potentially resectable NSCLCpatients were referred for FDG positron emission tomography staging after thoracic computed tomography. Each tumor stage was confirmed surgically, or for some stage IV tumors by additional imaging. The tumor maximum pixel-standardized uptake value (maxSUV) and the maxSUV partial volume corrected for lesion size (PVCmaxSUV) were compared with overall survival and disease-free survival using Cox proportional hazards regression. RESULTS: Stage distribution: stage I, 36%; stage II, 15%; stage III, 30%; stage IV, 19%. Patients were followed for a median of 33.6 months, with 90 deaths from NSCLC (median survival for all stages, 43.3 months). With respect to overall survival, the most significant cutoff value for both maxSUV and PVCmaxSUV was 7. MaxSUV > or =7 was significantly associated with an increased risk of death from NSCLC in univariable analysis, whereas PVCmaxSUV > or =7 was only marginally associated. However, in multivariable analyses, neither maxSUV > or =7 nor PVCmaxSUV > or =7 provided significant additional prognostic information over stage, tumor size, and age. In the 103 patients who underwent surgical resection only, surgical stage, but not maxSUV or PVCmaxSUV, was univariably associated with survival or recurrence. SUV definitions based on lean body mass, body surface area, and plasma glucose correction yielded identical results. CONCLUSIONS: As expected, tumor stage is prognostic in NSCLC. However, tumor FDG uptake does not provide additional prognostic information. This prospective study contradicts prior reports.
Authors: Kyuichi Kadota; Christos Colovos; Kei Suzuki; Nabil P Rizk; Mark P S Dunphy; Emily C Zabor; Camelia S Sima; Akihiko Yoshizawa; William D Travis; Valerie W Rusch; Prasad S Adusumilli Journal: Ann Surg Oncol Date: 2012-05-30 Impact factor: 5.344
Authors: Xuee Zhu; Chuanhong Liao; Bill C Penney; Feng Li; Mark K Ferguson; Cassie A Simon; Tianming Wu; Haiyan Liu; Yonglin Pu Journal: Nucl Med Commun Date: 2017-02 Impact factor: 1.690
Authors: Percy Lee; Jose G Bazan; Philip W Lavori; Dilani K Weerasuriya; Andrew Quon; Quynh-Thu Le; Heather A Wakelee; Edward E Graves; Billy W Loo Journal: Clin Lung Cancer Date: 2011-06-24 Impact factor: 4.785
Authors: Jose G Bazan; Fenghai Duan; Bradley S Snyder; Dunstan Horng; Edward E Graves; Barry A Siegel; Mitchell Machtay; Billy W Loo Journal: Eur J Nucl Med Mol Imaging Date: 2016-09-19 Impact factor: 9.236
Authors: Qinghua Feng; Stephen E Hawes; Joshua E Stern; Linda Wiens; Hiep Lu; Zhao Ming Dong; C Diana Jordan; Nancy B Kiviat; Hubert Vesselle Journal: Cancer Epidemiol Biomarkers Prev Date: 2008-03 Impact factor: 4.254
Authors: Stephen E Hawes; Joshua E Stern; Qinghua Feng; Linda W Wiens; Janet S Rasey; Hiep Lu; Nancy B Kiviat; Hubert Vesselle Journal: Lung Cancer Date: 2009-11-28 Impact factor: 5.705
Authors: J Scott Brockenbrough; Janice K Morihara; Stephen E Hawes; Joshua E Stern; Janet S Rasey; Linda W Wiens; Qinghua Feng; Hubert Vesselle Journal: J Histochem Cytochem Date: 2009-08-03 Impact factor: 2.479