Intratumoral spatial heterogeneity at non-contrast CT predicts histological grading of invasive pulmonary adenocarcinoma: a multicenter retrospective study
The CT-based MSI model can predict the histological grade of IPA by decoding the spatial interaction heterogeneity of different subregions in the tumor, thereby providing reliable imaging evidence for preoperative individualized risk assessment.
Authors
- Xiufu Zhang
- Guohong Shen
- Shize Qin
- Qing Jia
- Yongying Liu
- Dan Su
- Yang Li
- Sijia Zhou
Institutions
- People's Hospital of Bishan District (CN)
- United Imaging Healthcare (China) (CN)
- Jiangjin Central Hospital (CN)
- First People's Hospital of Chongqing (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2026-02-02
- DOI
- https://doi.org/10.1371/journal.pone.0341163
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00