Quantitative texture analysis on pre-treatment computed tomography predicts local recurrence in stage I non-small cell lung cancer following stereotactic radiation therapy
Quantitative Imaging in Medicine and Surgery Jan 18, 2018
Dennie C, et al. - Here, the physicians evaluated whether quantitative imaging features on pre-treatment computed tomography (CT) could predict local recurrence (LR) beyond 18 (18F) fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/CT maximum standard uptake value (SUVmax). Prior to stereotactic body radiotherapy (SBRT), CT textural features served as predictors of LR in early-stage non-small cell lung cancer (NSCLC), on baseline CT.
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