Chen Yidi, Zhang Yu, Wei Yi, Jiang Hanyu, Zhang Ling, Long Liling, Song Bin, Peng Tao
Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, Guangxi, China.
Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China.
ILIVER. 2025 May 12;4(2):100168. doi: 10.1016/j.iliver.2025.100168. eCollection 2025 Jun.
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.
结直肠癌肝转移(CRLM)是一个重大的临床挑战,因为它们是结直肠癌(CRC)患者发病和死亡的主要原因。早期检测、准确诊断和精确的治疗规划对于改善患者预后至关重要。磁共振成像(MRI)已成为评估CRLM的基石。本文全面综述了MRI在CRLM诊断和治疗方面的最新创新,特别关注精准手术模型。此外,还探讨了人工智能(AI)和放射组学的应用,突出了它们在自动检测病变、评估治疗反应和预测患者生存方面的潜力。这些先进的成像技术与基于AI的模型相结合,有望加强临床决策,实现个性化治疗策略,并改善CRLM患者的预后。随着这些技术不断发展,它们可能会彻底改变CRLM的管理方式,为CRC患者的早期检测、监测和预后预测提供非侵入性、准确且经济高效的解决方案。