Abstract :
To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1007/s12149-018-1281-9 Byline: Sangwon Han (1), Sungmin Woo (2), Chong Hyun Suh (3), Yeon Joo Kim (4), Jungsu S. Oh (1), Jong Jin Lee (1) Keywords: Heterogeneity; Lung cancer; Positron emission tomography; Prognosis; Texture Abstract: Objective The aim of this study was to perform a systematic review of the prognostic value of texture parameters derived by 18.sup.F-fluorodeoxyglucose positron emission tomography [(.sup.18]F-FDG PET) in patients with lung cancer. Methods PubMed and EMBASE databases were searched up to March 12, 2018, for original articles involving texture analysis for the prediction of prognosis in patients with lung cancer. Risk of bias in the studies was critically assessed using the QUIPS tool. The results of survival analysis in the included studies were compared. Results Of the 446 articles retrieved, 17 studies were eligible for inclusion. Our review suggests that the prognostic value of texture parameters in lung cancer remains unproven. Most studies had a moderate to high risk of bias. Texture parameters that described prognosis were not replicated across studies. Conflicting results on hazard ratios were found among the studies. This discrepancy is partly explained by false-positive findings originating from statistical error and variability caused by different methodologies used for image acquisition and processing in the included studies. Conclusion Based on currently available evidence, there is insufficient evidence to support the prognostic value of texture analysis in 18.sup.F-FDG PET in lung cancer. Further studies implementing well-established methodologies and statistical evidence are warranted for proper validation of these promising imaging biomarkers. Author Affiliation: (1) 0000 0004 0533 4667, grid.267370.7, Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (2) 0000 0004 0470 5905, grid.31501.36, Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea (3) 0000 0004 0533 4667, grid.267370.7, Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea (4) 0000 0004 1803 0072, grid.412011.7, Department of Radiation Oncology, Kangwon National University Hospital, Chuncheon, South Korea Article History: Registration Date: 13/07/2018 Received Date: 20/04/2018 Accepted Date: 13/07/2018 Online Date: 16/07/2018 Article note: Sangwon Han, Sungmin Woo and Chong Hyun Suh belong to Meta-analysis for Imaging studies on Diagnostic test Accuracy and prognosis (MIDAS) Group.