MRI-based radiomics for preoperative T-staging of rectal cancer: a retrospective analysis
Radiomic analysis of standard preoperative T2-weighted MRI provides a reliable, non-invasive method to predict rectal cancer T-stage. This approach has the potential to enhance staging accuracy and inform personalized surgical planning. Prospective multicenter validation is required for broader clinical implementation.
Authors
- Vittorio Patanè (ORCID: https://orcid.org/0000-0003-0767-3884)
- Davide Ciardiello
- Mario Sansone (ORCID: https://orcid.org/0000-0003-3556-7771)
- Luca Marinelli (ORCID: https://orcid.org/0000-0001-7775-5952)
- Francesco Selvaggi (ORCID: https://orcid.org/0000-0002-3219-3797)
- Erika Martinelli (ORCID: https://orcid.org/0000-0002-7108-0971)
- Umberto Atripaldi
- Gianluca Arrichiello (ORCID: https://orcid.org/0000-0002-5664-0790)
- Sara Del Tufo
- Alfonso Reginelli
Institutions
- University of Campania "Luigi Vanvitelli" (IT)
- University of Campania "Luigi Vanvitelli" (IT)
- Ospedale Sant'Anna (IT)
- European Institute of Oncology (IT)
- University of Naples Federico II (IT)
Publication Details
- Journal
- International Journal of Colorectal Disease
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1007/s00384-025-04969-9
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 6.80
Funders
- Università degli Studi della Campania Luigi Vanvitelli