Magnetic resonance imaging-based radiomics in predicting the expression of Ki-67, p53, and epidermal growth factor receptor in rectal cancer

Preoperative MRI-based radiomics analysis has the ability to noninvasively assess the postoperative Ki-67, p53, and EGFR of rectal cancer.

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Publication Details

Journal
Journal of Gastrointestinal Oncology
Published
2024-10-01
DOI
https://doi.org/10.21037/jgo-24-220
Citations
4
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.62

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article

Magnetic resonance imaging-based radiomics in predicting the expression of Ki-67, p53, and epidermal growth factor receptor in rectal cancer

Xiaohua Zhuo, Qiying Li, Jinkai Liu, Wei Shan Li et al.
4 citations
Journal of Gastrointestinal Oncology
Radiomics and Machine Learning in Medical Imaging
1.62
article

Magnetic resonance imaging-based radiomics in predicting the expression of Ki-67, p53, and epidermal growth factor receptor in rectal cancer

Xiaohua Zhuo, Qiying Li, Jinkai Liu, Wei Shan Li, Qi Lin, Qian You, Shaohua Qiu, Mingzhu Qiu, Yi Liu
article en
4 citations

Abstract

Preoperative MRI-based radiomics analysis has the ability to noninvasively assess the postoperative Ki-67, p53, and EGFR of rectal cancer.

Journal of Gastrointestinal OncologyVol. 15(5)
Fujian Medical University (CN), First Affiliated Hospital of Fujian Medical University (CN), Liaoning Cancer Hospital & Institute (CN)
Natural Science Foundation of Fujian Province
Good health and well-being
Openalex Percentile: Top 15%
Radiomics and Machine Learning in Medical Imaging
1.62
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