Decoding Treatment Response and Prognosis in Unresectable Locally Advanced Non-Small Cell Lung Cancer by Integrating Spatiotemporal Heterogeneity From 18F-FDG Positron Emission Tomography-Computed Tomography: A Multicenter Study.

Yu Ji¹, Jiaqi Wang², Meixia Zhou³, Yaru Wang¹, Zhengjun Dai⁴, Jingsong Zheng⁵

¹Department of Radiology, The Second Qilu Hospital of Shandong University, Jinan, Shandong, China.

²Department of Cancer Medical Center, People's Hospital of Chengwu County, Heze, Shandong, China.

³Department of Radiology, Shandong University, Jinan, Shandong, China.

⁴Institute of Research and Clinical Innovations, Neusoft Medical Systems Co. Ltd, Beijing, China.

⁵Center for Nuclear Medicine and Molecular Imaging, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.

PubMed DOI

Abstract

PURPOSE: Treatment response in unresectable locally advanced non-small cell lung cancer (LA-NSCLC) is highly variable due to marked intratumoral heterogeneity, while existing predictive biomarkers lack accuracy. We aimed to develop and validate a pretreatment 18F-FDG positron emission tomography (PET)-computed tomography (CT)-derived spatiotemporal heterogeneity model to predict treatment response…

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