Preoperative Prediction of Microsatellite Instability in Rectal Cancer Using Five Machine Learning Algorithms Based on Multiparametric MRI Radiomics
<b>Objectives:</b> To establish and verify radiomics models based on multiparametric MRI for preoperatively identifying the microsatellite instability (MSI) status of rectal cancer (RC) by comparing different machine learning algorithms. <b>Methods:</b> This retrospective stu...
Main Authors: | Yang Zhang, Jing Liu, Cuiyun Wu, Jiaxuan Peng, Yuguo Wei, Sijia Cui |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/13/2/269 |
Similar Items
-
Corrigendum: Radiomics Analysis of Multi-Sequence MR Images For Predicting Microsatellite Instability Status Preoperatively in Rectal Cancer
by: Zongbao Li, et al.
Published: (2021-10-01) -
A Tumoral and Peritumoral CT-Based Radiomics and Machine Learning Approach to Predict the Microsatellite Instability of Rectal Carcinoma
by: Yuan H, et al.
Published: (2022-08-01) -
Radiomics analysis of multiparametric MRI for preoperative prediction of microsatellite instability status in endometrial cancer: a dual-center study
by: Yaju Jia, et al.
Published: (2024-01-01) -
Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancer
by: Mingliang Ying, et al.
Published: (2022-05-01) -
Preoperative prediction of microsatellite instability status in colorectal cancer based on a multiphasic enhanced CT radiomics nomogram model
by: Xuelian Bian, et al.
Published: (2024-04-01)