INTRODUCTION: The intensity of 18F-fluorodeoxyglucose (18F-FDG) uptake in positron emission tomography could be of prognostic significance for patients with non-small cell lung cancer (NSCLC). The aim of this retrospective study was to evaluate the prognostic value of the FDG uptake in patients with resected pathologic stage I NSCLC according to histologic types of the tumors. METHODS: For each patient, a maximum standardized uptake value (SUVmax) and a partial volume corrected (PVC) SUVmax were calculated for the primary lesion on positron emission tomography. To find optimal cutoff values for cancer recurrences, receiver operating characteristic curves were used. RESULTS: Among 145 study patients, the mean values of SUVmax were 7.7 in those with adenocarcinoma (n = 70) and 16.0 in those with other histologies (n = 75; p < 0.001). Furthermore, the optimal cutoff values of SUVmax to predict cancer recurrences were identified as 5.2 in patients with adenocarcinoma and 13.8 in those with other histologies. In whole patients with pathologic stage I NSCLC, SUVmax (p = 0.025), PVC SUVmax (p = 0.014), tumor size (p = 0.048), and weight loss (p = 0.041) were significantly associated with disease-free survival (DFS). Moreover, PVC SUVmax (p = 0.034) and SUVmax (p = 0.012) were significantly associated with DFS in the multivariate analyses. CONCLUSIONS: The intensity of FDG uptake for the primary tumor was an independent prognostic factor for DFS in whole patients with pathologic stage I NSCLC. However, caution is needed for the interpretation of optimal cutoff values of SUVmax according to tumor histologies.
INTRODUCTION: The intensity of 18F-fluorodeoxyglucose (18F-FDG) uptake in positron emission tomography could be of prognostic significance for patients with non-small cell lung cancer (NSCLC). The aim of this retrospective study was to evaluate the prognostic value of the FDG uptake in patients with resected pathologic stage I NSCLC according to histologic types of the tumors. METHODS: For each patient, a maximum standardized uptake value (SUVmax) and a partial volume corrected (PVC) SUVmax were calculated for the primary lesion on positron emission tomography. To find optimal cutoff values for cancer recurrences, receiver operating characteristic curves were used. RESULTS: Among 145 study patients, the mean values of SUVmax were 7.7 in those with adenocarcinoma (n = 70) and 16.0 in those with other histologies (n = 75; p < 0.001). Furthermore, the optimal cutoff values of SUVmax to predict cancer recurrences were identified as 5.2 in patients with adenocarcinoma and 13.8 in those with other histologies. In whole patients with pathologic stage I NSCLC, SUVmax (p = 0.025), PVC SUVmax (p = 0.014), tumor size (p = 0.048), and weight loss (p = 0.041) were significantly associated with disease-free survival (DFS). Moreover, PVC SUVmax (p = 0.034) and SUVmax (p = 0.012) were significantly associated with DFS in the multivariate analyses. CONCLUSIONS: The intensity of FDG uptake for the primary tumor was an independent prognostic factor for DFS in whole patients with pathologic stage I NSCLC. However, caution is needed for the interpretation of optimal cutoff values of SUVmax according to tumor histologies.
Authors: Zachary A Kohutek; Abraham J Wu; Zhigang Zhang; Amanda Foster; Shaun U Din; Ellen D Yorke; Robert Downey; Kenneth E Rosenzweig; Wolfgang A Weber; Andreas Rimner Journal: Lung Cancer Date: 2015-05-28 Impact factor: 5.705
Authors: William D Travis; Elisabeth Brambilla; Masayuki Noguchi; Andrew G Nicholson; Kim R Geisinger; Yasushi Yatabe; David G Beer; Charles A Powell; Gregory J Riely; Paul E Van Schil; Kavita Garg; John H M Austin; Hisao Asamura; Valerie W Rusch; Fred R Hirsch; Giorgio Scagliotti; Tetsuya Mitsudomi; Rudolf M Huber; Yuichi Ishikawa; James Jett; Montserrat Sanchez-Cespedes; Jean-Paul Sculier; Takashi Takahashi; Masahiro Tsuboi; Johan Vansteenkiste; Ignacio Wistuba; Pan-Chyr Yang; Denise Aberle; Christian Brambilla; Douglas Flieder; Wilbur Franklin; Adi Gazdar; Michael Gould; Philip Hasleton; Douglas Henderson; Bruce Johnson; David Johnson; Keith Kerr; Keiko Kuriyama; Jin Soo Lee; Vincent A Miller; Iver Petersen; Victor Roggli; Rafael Rosell; Nagahiro Saijo; Erik Thunnissen; Ming Tsao; David Yankelewitz Journal: J Thorac Oncol Date: 2011-02 Impact factor: 15.609
Authors: Mi-Hyun Kim; Ji Seok Lee; Jeong Ha Mok; Kwangha Lee; Ki Uk Kim; Hye-Kyung Park; Seong-Jang Kim; Min Ki Lee Journal: Cancer Res Treat Date: 2014-04-22 Impact factor: 4.679