Seunghyeon Shin1, Kyoungjune Pak1, In Joo Kim1, Bum Soo Kim2, Seong Jang Kim2. 1. Department of Nuclear Medicine and Biomedical Research Institute, Pusan National University Hospital, Busan, Korea. 2. Department of Nuclear Medicine and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea.
Abstract
OBJECTIVES: Previously published studies showed that the standard tumor-to-blood standardized uptake value (SUV) ratio (SUR) was a more accurate prognostic method than tumor maximum standardized uptake value (SUVmax). This study evaluated and compared prognostic value of positron emission tomography (PET) parameters and normalized value of PET parameters by blood pool SUV in non-small-cell lung cancer (NSCLC) patients who received curative surgery. METHODS: Seventy-seven patients who underwent curative resection for NSCLC between January 2010 to December 2013 were enrolled in this study. 18Fluorine-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) was performed before surgery. The mean standardized uptake value (SUVmean), SUVmax, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of each lesion was measured, on the workstation. SURmean, SURmax, and TLGSUR were calculated by dividing each of them by descending aorta SUVmean. Cox proportional hazards regression was used to analyze the effect of age, sex, pathological parameters, and PET parameters on recurrence and death. RESULTS: In Cox regression analysis, N stage predicted for both recurrence (p < 0.0001) and death (p < 0.0001). SURmax predicted recurrence (p = 0.0014), not death. Area under the receiver operating characteristic curve of SURmax was 0.759 with cutoff value 4.004. However, SUVmax, SUVmean, MTV, TLG, SURmean, and TLGSUR predicted neither recurrence nor death. CONCLUSIONS: Among PET parameters, SURmax was the independent predictor of recurrence in NSCLC patients who received curative surgery. N stage was the independent prognostic factor for both recurrence and death. Both parameters could be used to stratify the risk of NSCLC patients.
OBJECTIVES: Previously published studies showed that the standard tumor-to-blood standardized uptake value (SUV) ratio (SUR) was a more accurate prognostic method than tumor maximum standardized uptake value (SUVmax). This study evaluated and compared prognostic value of positron emission tomography (PET) parameters and normalized value of PET parameters by blood pool SUV in non-small-cell lung cancer (NSCLC) patients who received curative surgery. METHODS: Seventy-seven patients who underwent curative resection for NSCLC between January 2010 to December 2013 were enrolled in this study. 18Fluorine-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) was performed before surgery. The mean standardized uptake value (SUVmean), SUVmax, metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of each lesion was measured, on the workstation. SURmean, SURmax, and TLGSUR were calculated by dividing each of them by descending aorta SUVmean. Cox proportional hazards regression was used to analyze the effect of age, sex, pathological parameters, and PET parameters on recurrence and death. RESULTS: In Cox regression analysis, N stage predicted for both recurrence (p < 0.0001) and death (p < 0.0001). SURmax predicted recurrence (p = 0.0014), not death. Area under the receiver operating characteristic curve of SURmax was 0.759 with cutoff value 4.004. However, SUVmax, SUVmean, MTV, TLG, SURmean, and TLGSUR predicted neither recurrence nor death. CONCLUSIONS: Among PET parameters, SURmax was the independent predictor of recurrence in NSCLCpatients who received curative surgery. N stage was the independent prognostic factor for both recurrence and death. Both parameters could be used to stratify the risk of NSCLCpatients.
Authors: Myeong Jun Song; Si Hyun Bae; Sung Won Lee; Do Sun Song; Hee Yeon Kim; Ie Ryung Yoo; Joon-Il Choi; Young June Lee; Ho Jong Chun; Hae Giu Lee; Jong Young Choi; Seung Kew Yoon Journal: Eur J Nucl Med Mol Imaging Date: 2013-02-22 Impact factor: 9.236
Authors: Jörg van den Hoff; Liane Oehme; Georg Schramm; Jens Maus; Alexandr Lougovski; Jan Petr; Bettina Beuthien-Baumann; Frank Hofheinz Journal: EJNMMI Res Date: 2013-11-23 Impact factor: 3.138