Huang Wei-Qin, Lin Ruo-Xuan, Ke Xiao-Hui, Deng Xiao-Hong, Ni Shi-Xiong, Tang Lina
Department of Ultrasonography, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fudan University Shanghai Cancer Center, Fuzhou, China.
Front Oncol. 2025 Jan 17;14:1470824. doi: 10.3389/fonc.2024.1470824. eCollection 2024.
Rectal cancer is a leading cause of morbidity and mortality among patients with malignant tumors in China. In light of the advances made in therapeutic approaches such as neoadjuvant therapy and total mesorectal excision, precise preoperative assessment has become crucial for developing a personalized treatment plan. As an emerging technology, radiomics has gained widespread application in the diagnosis, assessment of treatment response, and analysis of prognosis for rectal cancer by extracting high-throughput quantitative features from medical images. Radiomics thus demonstrates considerable potential for optimizing clinical decision-making. In this paper, we reviewed recent research focusing on advances in the use of radiomics for managing rectal cancer. The review covers TNM staging of tumors, assessment of neoadjuvant therapy outcomes, and survival prediction. We also discuss the challenges and prospects for future developments in translational medicine, particularly the need for data standardization, consistent feature extraction methodologies, and rigorous model validation.
直肠癌是中国恶性肿瘤患者发病和死亡的主要原因之一。鉴于新辅助治疗和全直肠系膜切除术等治疗方法的进展,精确的术前评估对于制定个性化治疗方案至关重要。作为一种新兴技术,放射组学通过从医学图像中提取高通量定量特征,在直肠癌的诊断、治疗反应评估和预后分析中得到了广泛应用。因此,放射组学在优化临床决策方面显示出巨大潜力。在本文中,我们回顾了近期关于放射组学在直肠癌管理中应用进展的研究。该综述涵盖了肿瘤的TNM分期、新辅助治疗结果评估和生存预测。我们还讨论了转化医学未来发展面临的挑战和前景,特别是数据标准化、一致的特征提取方法和严格的模型验证的必要性。