Predictive value of combined DCE-MRI perfusion parameters and clinical features nomogram for microsatellite instability in colorectal cancer

The nomogram method demonstrated good potential in the preoperative individualized identification of MSI status in CRC patients. This tool can assist clinicians in adopting appropriate treatment strategies and optimizing personalized stratification for CRC patients.

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Publication Details

Journal
Discover Oncology
Published
2025-05-23
DOI
https://doi.org/10.1007/s12672-025-02705-x
Citations
1
Primary Topic
Genetic factors in colorectal cancer
Type
article
Field-Weighted Citation Impact
1.47

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article

Predictive value of combined DCE-MRI perfusion parameters and clinical features nomogram for microsatellite instability in colorectal cancer

Kai Ai, Liang Peng, Hong Ouyang, Wenting Ma et al.
1 citations
Discover Oncology
Genetic factors in colorectal cancer
1.47
article

Predictive value of combined DCE-MRI perfusion parameters and clinical features nomogram for microsatellite instability in colorectal cancer

Kai Ai, Liang Peng, Hong Ouyang, Wenting Ma, Shengting Pei, Lili Wang, Yingmei Jia, Fang Ma, Tao Wang, Xiaomei Ma, Yu Zhu, Fan Zhang, Xiuling Zhang
article en
1 citations

Abstract

The nomogram method demonstrated good potential in the preoperative individualized identification of MSI status in CRC patients. This tool can assist clinicians in adopting appropriate treatment strategies and optimizing personalized stratification for CRC patients.

Discover OncologyVol. 16(1)
Gansu University of Traditional Chinese Medicine (CN), Gansu Provincial Hospital (CN)
Gansu University of Chinese Medicine
Good health and well-being
Openalex Percentile: Top 19%
Genetic factors in colorectal cancer
1.47
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Predictive value of combined DCE-MRI perfusion parameters and clinical features nomogram for microsatellite instability in colorectal cancer — Kai Ai, Liang Peng, et al. · Discover Oncology (2025) | TGRS Research Map | TGRS