Development and validation of a multi-parametric MRI deep-learning model for preoperative lymphovascular invasion evaluation in rectal cancer
The multi-parametric MRI DL model demonstrated excellent performance in evaluating the LVI status of patients with RC. This model could serve as a complementary method for the non-invasive assessment of LVI in RC.
Authors
- Xiaofu Li (ORCID: https://orcid.org/0000-0002-9999-4732)
- Jiaqi Ma (ORCID: https://orcid.org/0000-0002-8184-5157)
- Yu‐Peng Wu (ORCID: https://orcid.org/0000-0001-7712-4317)
- Shengming Shi
- Apekshya Singh
- Xinsheng Nie
- Han Liu
- X H Kong
- Lingqing Xiao
Institutions
- Harbin Medical University (CN)
- Xinjiang Production and Construction Corps (CN)
- Second Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2024-12-11
- DOI
- https://doi.org/10.21037/qims-24-789
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Xinjiang Production and Construction Corps