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Article

A Deep Learning Model Based on MRI and Clinical Factors Facilitates Noninvasive Evaluation of KRAS Mutation in Rectal Cancer.

Journal of magnetic resonance imaging : JMRI - 1 Dec 2022

Liu Huanhuan, Yin Hongkun, Li Jinning, Dong Xue, Zheng Hui, Zhang Tingting, Yin Qiufeng, Zhang Zhongyang, Lu Minda, Zhang Huiling, Wang Dengbin

Abstract excerpt

BACKGROUND: Recent studies showed the potential of MRI-based deep learning (DL) for assessing treatment response in rectal cancer, but the role of MRI-based DL in evaluating Kirsten rat sarcoma viral oncogene homologue (KRAS) mutation remains unclear. PURPOSE: To develop a DL method based on T2-weighted imaging (T2WI) and clinical factors for noninvasively evaluating KRAS mutation in rectal cancer. STUDY TYPE:...

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PMID: 35587946
DOI: 10.1002/jmri.28237

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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