Pathomics-based machine learning models for predicting pathological complete response and prognosis in locally advanced rectal cancer patients post-neoadjuvant chemoradiotherapy: insights from two independent institutional studies
The ML model based on pathomics demonstrated effective prediction of pCR and prognosis in LARC patients. Further validation in larger cohorts is warranted to confirm the findings of this study.
Authors
- Guoxian Guan (ORCID: https://orcid.org/0000-0001-9883-3139)
- Meifang Xu (ORCID: https://orcid.org/0000-0002-4308-6348)
- Jianxiong Zhuang (ORCID: https://orcid.org/0000-0002-2520-2309)
- Xing Liu (ORCID: https://orcid.org/0000-0002-5786-2838)
- Hong Chen (ORCID: https://orcid.org/0000-0002-6317-9955)
- Biao Zhu (ORCID: https://orcid.org/0000-0002-5041-9630)
- Zhibo Zhou (ORCID: https://orcid.org/0009-0001-0855-9189)
- Shaoqing Zheng (ORCID: https://orcid.org/0000-0003-3236-8662)
- Ying Huang (ORCID: https://orcid.org/0000-0003-1687-1938)
- Yiyi Zhang (ORCID: https://orcid.org/0009-0009-4436-6307)
Institutions
- Fujian Medical University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
- Union Hospital (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1186/s12885-024-13328-w
- Citations
- 8
- Primary Topic
- Colorectal Cancer Surgical Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.26
Funders
- Fujian Medical University