• Nutrition · Oct 2024

    A [18F]FDG PET based nomogram to predict cancer-associated cachexia and survival outcome: A multi-center study.

    • Yang Jiang, Mouqing Huang, Yufei Zhao, Jingyue Dai, Qingwen Yang, Xingzhe Tang, Xinxiang Li, Ying Cui, Jingqi Zhang, Jialu Sun, Lin Fu, Hui Mao, and Xin-Gui Peng.
    • Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
    • Nutrition. 2024 Oct 1; 129: 112593112593.

    ObjectivesCancer patients with cachexia face poor prognosis and shortened survival. Early diagnosis and accurate prognosis prediction remain challenging. This multi-center study aims to develop and externally validate a nomogram integrating [18F]fluoro-2-deoxy-D-glucose ([18F]FDG) PET findings and routine clinical biochemistry tests for predicting cancer-associated cachexia, while also assessing its potential prognostic value.Research Methods & ProceduresA retrospective analysis of 658 cancer patients (390 in the development cohort, 268 in the validation cohort) utilized [18F]FDG PET/CT data from two centers. Logistic regression identified organ-specific standardized uptake values (SUVs) and clinical variables associated with cancer-associated cachexia. Diagnostic accuracy, discriminative ability, and clinical effectiveness were assessed using area under the curve (AUC), calibration curve, and decision curve. Nomogram predictability for overall survival was evaluated through Cox regression and Kaplan-Meier curves.ResultsThe combined nomogram incorporating age (odds ratio [OR] = 1.893; P = 0.012), hemoglobin (OR = 2.591; P < 0.001), maximum SUV of the liver (OR = 3.646; P < 0.001), and minimum SUV of the subcutaneous fat (OR = 5.060; P < 0.001) achieved good performance in predicting cancer-associated cachexia (AUC = 0.807/0.726, development/validation). Calibration and decision curve analyses confirmed its clinical effectiveness. Kaplan-Meier curves analysis showed that overall survival can be categorized using the combined nomogram (P < 0.001).ConclusionCombining radiological information from clinical standard [18F]FDG PET data from cancer patients with biochemical results in their routine clinical blood tests through a well-constructed nomogram enables predicting cachexia and its effect on the prognosis of cancer patients.Copyright © 2024 Elsevier Inc. All rights reserved.

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