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Front Oncol. 2024 Oct 7;14:1444115. doi: 10.3389/fonc.2024.1444115. eCollection 2024.
3
New definition of borderline resectable colorectal liver metastasis based on prognostic outcomes.基于预后结果的结直肠癌肝转移边界可切除新定义。
Langenbecks Arch Surg. 2024 Oct 8;409(1):301. doi: 10.1007/s00423-024-03492-9.
4
Artificial intelligence in predicting recurrence after first-line treatment of liver cancer: a systematic review and meta-analysis.人工智能在预测肝癌一线治疗后复发中的应用:系统评价和荟萃分析。
BMC Med Imaging. 2024 Oct 7;24(1):263. doi: 10.1186/s12880-024-01440-z.
5
Computed Tomography-Based Radiomics with Machine Learning Outperforms Radiologist Assessment in Estimating Colorectal Liver Metastases Pathologic Response After Chemotherapy.基于计算机断层扫描的放射组学结合机器学习在预测化疗后结直肠癌肝转移病理反应方面优于放射科医生评估。
Ann Surg Oncol. 2024 Dec;31(13):9196-9204. doi: 10.1245/s10434-024-15373-y. Epub 2024 Oct 5.
6
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9
Circulating tumour DNA-Based molecular residual disease detection in resectable cancers: a systematic review and meta-analysis.基于循环肿瘤 DNA 的可切除癌症分子残留病检测:系统评价和荟萃分析。
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结直肠癌肝转移:放射学视角

Colorectal cancer liver metastases: A radiologic point of view.

作者信息

Reginelli Alfonso, Patanè Vittorio, Cappabianca Salvatore

机构信息

Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Campania, Italy.

出版信息

World J Gastrointest Oncol. 2025 Aug 15;17(8):103473. doi: 10.4251/wjgo.v17.i8.103473.

DOI:10.4251/wjgo.v17.i8.103473
PMID:40837779
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12362579/
Abstract

Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide. Despite advances in early detection and treatment, approximately half of patients with CRC develop liver metastases (LM), complicating therapeutic strategies and reducing survival rates. Radiological imaging is critical in managing colorectal LM by guiding detection, staging, treatment planning, and response evaluation. This letter to the editor provides a comprehensive overview of both traditional and emerging imaging modalities, including computed tomography, magnetic resonance imaging, and positron emission tomography, and their specific roles in clinical decision-making. It further explores advanced techniques such as radiomics, artificial intelligence, and radiogenomics, which integrate quantitative imaging features with genetic and clinical data to enhance prognostication and tailor personalized treatment approaches. Specific examples of how these innovations are applied in treatment response assessment and pre-surgical planning are highlighted. The discussion also emphasizes the need for large-scale prospective clinical trials and standardized protocols to validate current predictive models and fully integrate these advanced methodologies into clinical practice.

摘要

结直肠癌(CRC)仍然是全球癌症相关死亡的主要原因之一。尽管在早期检测和治疗方面取得了进展,但约一半的CRC患者会发生肝转移(LM),这使治疗策略变得复杂并降低了生存率。放射影像学在结直肠癌肝转移的管理中至关重要,可指导检测、分期、治疗计划制定和疗效评估。这封致编辑的信全面概述了传统和新兴的成像方式,包括计算机断层扫描、磁共振成像和正电子发射断层扫描,以及它们在临床决策中的具体作用。它还进一步探讨了诸如放射组学、人工智能和放射基因组学等先进技术,这些技术将定量成像特征与遗传和临床数据相结合,以增强预后评估并制定个性化治疗方案。文中突出了这些创新在治疗反应评估和术前规划中的具体应用实例。讨论还强调了开展大规模前瞻性临床试验和标准化方案的必要性,以验证当前的预测模型并将这些先进方法全面整合到临床实践中。