Habitat-Based Radiomics for Predicting Visceral Pleural Invasion in Subpleural Nodules with Solid Component on Low-Dose CT: A Multicenter Study
: The habitat imaging model based on LDCT effectively predicts the VPI in subpleural lung adenocarcinoma by quantifying intratumoral spatial heterogeneity and demonstrates promising diagnostic performance compared to conventional radiomic and radiological methods. This approach offers a noninvasive preoperative tool to assist in risk stratification and guide personalized therapeutic decision-making for subpleural nodules detected during lung cancer screening.
Authors
- Jieke Liu (ORCID: https://orcid.org/0000-0001-5448-9479)
- Y Li
- Peng Zhou (ORCID: https://orcid.org/0000-0002-1281-6088)
- Wei Lin (ORCID: https://orcid.org/0009-0006-5068-4502)
- Yu Long (ORCID: https://orcid.org/0000-0001-7486-3675)
- Yongji Zheng
- Xiaoyu Li
Institutions
- University of Electronic Science and Technology of China (CN)
- Deyang Stomatological Hospital (CN)
- Sichuan Cancer Hospital (CN)
- First Affiliated Hospital of Chengdu Medical College (CN)
Publication Details
- Journal
- Diagnostics
- Published
- 2026-04-16
- DOI
- https://doi.org/10.3390/diagnostics16081191
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Sichuan Province
- Fundamental Research Funds for the Central Universities