Pre-Treatment and Pre-Brachytherapy MRI first-order Radiomic Features by a Commercial software as survival predictors in radiotherapy for cervical cancer Objectives
Radiomic features from the first-order statistics added values to clinical factors to predict the outcomes after CCRT. The highest prediction model performance was for the combined clinical and radiomics from PreRx and PreBT.
Authors
- Tissana Prasartseree (ORCID: https://orcid.org/0000-0001-6957-8861)
- Wiwatchai Sittiwong (ORCID: https://orcid.org/0000-0003-0334-2551)
- Pongpop Tuntapakul (ORCID: https://orcid.org/0009-0009-9353-5410)
- Pittaya Dankulchai (ORCID: https://orcid.org/0000-0003-1150-1399)
- Wajana Thaweerat (ORCID: https://orcid.org/0000-0002-8115-9077)
- Nerisa Thornsri
- Pitchayut Wongsuwan
Institutions
- Siriraj Hospital (TH)
- Mahidol University (TH)
Publication Details
- Journal
- Clinical and Translational Radiation Oncology
- Published
- 2025-04-19
- DOI
- https://doi.org/10.1016/j.ctro.2025.100965
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00