Non-invasive CT radiomic biomarkers predict microsatellite stability status in colorectal cancer: a multicenter validation study.
Zuhir BodalalEun Kyoung HongStefano TrebeschiIeva KurilovaFederica LandolfiNino BogveradzeFrancesca CastagnoliGiovanni RandonPetur SnaebjornssonFilippo PietrantonioJeong Min LeeGeerard BeetsRegina G H Beets-TanPublished in: European radiology experimental (2024)
Noninvasive CT-based radiomics predicted MSI in colorectal cancer, enhancing stratification. A seven-feature radiomic signature differentiated tumors with MSI from those with MSS in multicenter cohorts. Integrating radiomic and clinical data improved the algorithm's predictive performance.
Keyphrases
- contrast enhanced
- image quality
- dual energy
- computed tomography
- machine learning
- deep learning
- magnetic resonance imaging
- cross sectional
- positron emission tomography
- double blind
- electronic health record
- magnetic resonance
- big data
- lymph node metastasis
- neural network
- squamous cell carcinoma
- data analysis
- genetic diversity