A systematic review of the prognostic value of texture analysis in 18 F-FDG PET in lung cancer

Annals of Nuclear Medicine
Sangwon HanJong Jin Lee

Abstract

The aim of this study was to perform a systematic review of the prognostic value of texture parameters derived by 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) in patients with lung cancer. 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. 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. Based on currently available evidence, there is insufficient evidence to support the prognostic value of texture analysis in 18F-FD...Continue Reading

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Citations

Nov 24, 2019·Annals of Nuclear Medicine·Seigo Kinuya
Nov 29, 2020·European Radiology·Manuel Piñeiro-FielPablo Aguiar
Jun 5, 2020·Methods : a Companion to Methods in Enzymology·Reyhaneh Manafi-FaridMohsen Beheshti
Mar 7, 2021·Diagnostics·Manuel Piñeiro-FielPablo Aguiar
Nov 17, 2019·Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology·Marie Manon Krebs KrarupBarbara Malene Fischer

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