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Predictive model based on magnetic resonance imaging for chemotherapy response in colorectal cancer: Toward a radiologic biopsy approach

Year: 2026

Type: article

Abstract: related the applications of the multiparametric magnetic resonance imaging-based predictive model for assessing chemotherapy efficacy in colorectal cancer patients with gene mutations. The authors focused on decision-making based on the integration of tumor differentiation, signal intensity ratio, margin distance, and magnetic resonance imaging-detected lymph node metastasis. Indeed, these multiparameter predictive models could also be used for diagnosis as an alternative to invasive tissue examination methods. However, progress in this field enables us to shift the paradigm to radiology biopsies, particularly given the nonlinear effects of various radiation sources.

Source: World Journal of Gastrointestinal Oncology

DOI: 10.4251/wjgo.v18.i1.115117

Authors: Ilya D Klabukov, Anna Smirnova, Irina Kondrasheva, Denis S Baranovskii, Elena Yatsenko

Institutions: Medical Radiological Research Center, Obninsk Institute for Nuclear Power Engineering, National Research Nuclear University MEPhI, Kaluga State University named after K.E.Tsiolkovski, InSysBio (Russia)

Language: English

Topic: MRI in cancer diagnosis

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W7119504012

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Cites: 14

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