Abstract
Colorectal liver metastases (CRLM) represent a significant clinical challenge, as they are a leading cause of morbidity and mortality in patients with colorectal cancer (CRC). Early detection, accurate diagnosis, and precise treatment planning are crucial for improving patient outcomes. Magnetic resonance imaging (MRI) has emerged as a cornerstone in evaluating CRLM. This article provides a comprehensive review of recent innovations in MRI for CRLM diagnosis and treatment, with a particular focus on precision surgical models. Additionally, the application of artificial intelligence (AI) and radiomics is explored, highlighting their potential in automating lesion detection, evaluating treatment response, and predicting patient survival. The integration of these advanced imaging techniques and AI-based models holds promise for enhancing clinical decision-making, enabling personalized treatment strategies, and improving patient outcomes in CRLM. As these technologies continue to evolve, they could revolutionize the management of CRLM, offering non-invasive, accurate, and cost-effective solutions for early detection, monitoring, and prognosis prediction in CRC patients.