Cargando…
Development and validation of magnetic resonance imaging-based radiomics models for preoperative prediction of microsatellite instability in rectal cancer
BACKGROUND: Microsatellite instability (MSI) is a predictive biomarker for response to chemotherapy and a prognostic biomarker for clinical outcomes of rectal cancer. The purpose of this study was to develop and validate radiomics models for preoperative prediction of the MSI status of rectal cancer...
Autores principales: | Zhang, Wei, Huang, Zixing, Zhao, Jian, He, Du, Li, Mou, Yin, Hongkun, Tian, Song, Zhang, Huiling, Song, Bin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867944/ https://www.ncbi.nlm.nih.gov/pubmed/33569436 http://dx.doi.org/10.21037/atm-20-7673 |
Ejemplares similares
-
Development and validation of a radiomics model based on T2WI images for preoperative prediction of microsatellite instability status in rectal cancer: Study Protocol Clinical Trial (SPIRIT Compliant)
por: Huang, Zixing, et al.
Publicado: (2020) -
Development and validation of MRI‐based deep learning models for prediction of microsatellite instability in rectal cancer
por: Zhang, Wei, et al.
Publicado: (2021) -
Radiomics Analysis of Multi-Sequence MR Images For Predicting Microsatellite Instability Status Preoperatively in Rectal Cancer
por: Li, Zongbao, et al.
Publicado: (2021) -
Corrigendum: Radiomics Analysis of Multi-Sequence MR Images For Predicting Microsatellite Instability Status Preoperatively in Rectal Cancer
por: Li, Zongbao, et al.
Publicado: (2021) -
Preoperative Prediction of Microsatellite Instability in Rectal Cancer Using Five Machine Learning Algorithms Based on Multiparametric MRI Radiomics
por: Zhang, Yang, et al.
Publicado: (2023)