Preoperative CT-based Intratumoral and Peritumoral Radiomics Prediction for Vasculogenic Mimicry in Lung Adenocarcinoma
Our findings underscore the potential of CT-based radiomics characteristics derived from intratumoral and peritumoral regions to assess VM presence in LUAD patients. Combining radiomics signatures with clinicoradiological parameters within a nomogram framework significantly enhances predictive accuracy.
Authors
- Yihong Gu (ORCID: https://orcid.org/0000-0001-8581-0843)
- Yan Song
- Jingcheng Huang (ORCID: https://orcid.org/0000-0003-3986-4191)
- Weiming Zhao
- Ying Meng (ORCID: https://orcid.org/0000-0001-8865-652X)
- Yang Li (ORCID: https://orcid.org/0000-0002-7016-2246)
- Shuni Zhang
- Zhiya Zhang (ORCID: https://orcid.org/0000-0002-9900-0558)
- Zongyu Xie (ORCID: https://orcid.org/0000-0003-1359-5157)
- Shuhua Li
Institutions
- Bengbu Medical College (CN)
- Anhui Medical University (CN)
- Fuyang City People's Hospital (CN)
- First Affiliated Hospital of Bengbu Medical College (CN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-04-11
- DOI
- https://doi.org/10.2174/0115734056383032250320041531
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Bengbu Medical College
- Anhui Provincial Key Research and Development Plan