Prediction of lymphovascular invasion using multiparametric MRI habitat radiomics based on machine learning algorithms in gastric cancer

WU Yanan; MA Shaoqing; CUI Yanfen; SONG Ruirui; YANG Xiaotang

doi:10.19732/j.cnki.2096-6210.2025.06.004

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Prediction of lymphovascular invasion using multiparametric MRI habitat radiomics based on machine learning algorithms in gastric cancer

Specialists' Article | 更新时间：2026-01-15

- Prediction of lymphovascular invasion using multiparametric MRI habitat radiomics based on machine learning algorithms in gastric cancer
- “The latest research shows that based on multi parameter MRI habitat radiomics combined with machine learning models, non-invasive and accurate prediction of vascular infiltration status in gastric cancer patients can be achieved, providing theoretical basis for individualized treatment decision-making in clinical practice.”
- Oncoradiology Vol. 34, Issue 6, Pages: 587-595(2025)
- 作者机构：
  
  山西省肿瘤医院/中国医学科学院肿瘤医院山西医院/山西医科大学附属肿瘤医院信息管理科，山西　太原　030013
  山西省肿瘤医院/中国医学科学院肿瘤医院山西医院/山西医科大学附属肿瘤医院影像科，山西　太原　030013
  山西医科大学研究生院，山西　太原　030000
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2025.06.004
  CLC： R445.1
- Received：31 October 2025，
  
  Revised：2025-12-11，
  
  Published：28 December 2025
- 稿件说明：
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WU Yanan, MA Shaoqing, CUI Yanfen, et al. Prediction of lymphovascular invasion using multiparametric MRI habitat radiomics based on machine learning algorithms in gastric cancer[J]. Oncoradiology, 2025, 34(6): 587-595.
DOI：

WU Yanan, MA Shaoqing, CUI Yanfen, et al. Prediction of lymphovascular invasion using multiparametric MRI habitat radiomics based on machine learning algorithms in gastric cancer[J]. Oncoradiology, 2025, 34(6): 587-595. DOI： 10.19732/j.cnki.2096-6210.2025.06.004.

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Prediction of lymphovascular invasion using multiparametric MRI habitat radiomics based on machine learning algorithms in gastric cancer

DOI：10.19732/j.cnki.2096-6210.2025.06.004