Xiao Zhun, Yang Fangming, Liu Zheng, Chen Xinju, Ma Suping, Li Heng
Department of Digestive Diseases, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Department of Combination of Traditional Chinese Medicine and Western Medicine, Medical College, Henan University of Chinese Medicine, Zhengzhou, Henan, China.
Therap Adv Gastroenterol. 2024 Oct 27;17:17562848241293019. doi: 10.1177/17562848241293019. eCollection 2024.
Cirrhotic liver nodules can progress to hepatocellular carcinoma (HCC) through a multi-step carcinogenesis model, with dysplastic nodules being particularly high risk. Currently, monitoring the progression of non-HCC cirrhotic nodules is primarily through dynamic observation, but there is a lack of sensitive, efficient, and convenient methods. Dynamic monitoring and risk evaluation of malignant transformation are essential for timely treatment and improved patient survival rates. Routine liver biopsies are impractical for monitoring, and imaging techniques like ultrasound, computed tomography, and magnetic resonance imaging are not suitable for all patients or for accurately assessing subcentimeter nodules. Identifying serum biomarkers with high sensitivity, specificity, and stability, and developing a multi-index evaluation model, may provide a more convenient and efficient approach to monitoring pathological changes in cirrhotic nodules.
肝硬化肝结节可通过多步骤致癌模型进展为肝细胞癌(HCC),发育异常结节的风险尤其高。目前,监测非HCC肝硬化结节的进展主要通过动态观察,但缺乏敏感、高效且便捷的方法。恶性转化的动态监测和风险评估对于及时治疗和提高患者生存率至关重要。常规肝活检用于监测不切实际,而超声、计算机断层扫描和磁共振成像等成像技术并不适用于所有患者,也无法准确评估小于1厘米的结节。识别具有高敏感性、特异性和稳定性的血清生物标志物,并建立多指标评估模型,可能为监测肝硬化结节的病理变化提供更便捷有效的方法。