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

We read with great interest the investigation of Kang <i>et al</i> 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.