Evidence map›Paper›PMID 42501072›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

PET/CT-derived whole-body composition and survival in resectable NSCLC: double machine learning-based adjusted association analysis of intermuscular adiposity burden and sex-specific metabolic phenotypes.

Weihao Zhai, Ruoyao Wang, Mengmeng Ye, Xiaolin Li, Yi Wang, Taohu Zhou, Xiuxiu Zhou, Qianxi Jin, Ziwei Zhang, Li Fan

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Article in European journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Weihao ZhaiDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China.
Ruoyao WangDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China.
Mengmeng YeDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China.
Xiaolin LiDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China.
Yi WangDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China.
Taohu ZhouDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China.
Xiuxiu ZhouDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China.
Qianxi JinDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China.
Ziwei ZhangDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China.
Li FanDepartment of Radiology, Second Affiliated Hospital of Naval Medical University, No. 415 Fengyang Road, Shanghai, 200003, China. fanli0930@163.com.ORCID http://orcid.org/0000-0003-4722-3933

Funding

Excellent Health Sector Program of Shanghai Municipal Health Commission 20254Z0003National Natural Science Foundation of China 82430065Shanghai Rising Stars of Medical Talent Youth Development Program for Outstanding Youth Medical Talents SHWSRS 2025-71
6 · The paper itself

Abstract

purposeTo evaluate whether whole-body PET/CT-derived body composition features are associated with survival in patients with resectable non-small cell lung cancer (NSCLC), using double machine learning to quantify adjusted associations with restricted mean survival time.

methodsThis retrospective multicenter study included 769 patients with stage ≤ IIIA NSCLC who underwent preoperative 18F-fluorodeoxyglucose positron emission tomography/computed tomography (

resultsHigher intermuscular adipose tissue (IMAT) volume index was associated with shorter survival (DML-adjusted RMST difference, -4.29 months for OS and - 2.74 months for PFS per 1-SD higher IMAT volume index). Higher TAT SUR (Mean) showed an exploratory favorable adjusted association with longer OS (+ 4.42 months). Sex-stratified analyses suggested stronger adverse adipose-volume associations in male patients and stronger favorable adipose-metabolic associations in female patients. Model analyses showed moderate external discrimination, whereas incremental-value metrics were modest and endpoint-dependent.

conclusionWhole-body PET/CT body-composition phenotyping may provide prognostic information in resectable NSCLC. Higher IMAT burden was associated with shorter survival, whereas TAT SUR (Mean) showed an exploratory favorable adjusted association with OS. A local software framework may support reproducible feature extraction and research-oriented risk stratification.

Indexed as

Adjusted associationBody compositionMachine learningMyosteatosisNon-small cell lung cancerPET/CT

Identifiers

PMID42501072

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.