Construction of novel radiomics nomogram model based on preoperative CT to predict lymphovascular tumor embolus and recurrence-free survival in early T1-2a stage lung adenocarcinomas

CT radiomics-based model, which could serve as a potential biomarker, demonstrated strong predictive value for LTE status in LAC.

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Publication Details

Journal
BMC Medical Imaging
Published
2026-02-23
DOI
https://doi.org/10.1186/s12880-026-02240-3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Construction of novel radiomics nomogram model based on preoperative CT to predict lymphovascular tumor embolus and recurrence-free survival in early T1-2a stage lung adenocarcinomas

Mingyuan Pang, Linkun Li, Shiying Ju, Wenjuan Wang et al.
BMC Medical Imaging
Radiomics and Machine Learning in Medical Imaging
article

Construction of novel radiomics nomogram model based on preoperative CT to predict lymphovascular tumor embolus and recurrence-free survival in early T1-2a stage lung adenocarcinomas

Mingyuan Pang, Linkun Li, Shiying Ju, Wenjuan Wang, Longjiang Fang, Zhaofeng Zheng, Qi Wang, Junzhong Liu, Yujing Chu
article en

Abstract

CT radiomics-based model, which could serve as a potential biomarker, demonstrated strong predictive value for LTE status in LAC.

BMC Medical Imaging
Weifang Medical University (CN), Weifang People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 47%
Radiomics and Machine Learning in Medical Imaging
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