肝细胞癌诊断的影像组学模型推荐专家共识

Expert consensus recommendations for radiomic models in the diagnosis of hepatocellular carcinoma

原发性肝癌为国内外常见的恶性肿瘤,2020年成为全球范围内第7大威胁人类健康的恶性肿瘤,且病死率高居癌症第4位。精准诊断对原发性肝癌的预后至关重要。影像组学作为新兴无创的数据分析方法,从影像图像中提取大量高通量特征,为临床诊疗决策制定提供更加准确的依据。目前,针对肝细胞癌诊断的影像组学模型多种多样,但缺乏共识。该共识基于当前最新研究证据,结合循证医学证据分级系统,综合考虑临床实际及专科医师经验,形成最终的影像组学模型推荐意见,以期为临床医师明确诊断提供方法学依据,形成最佳决策方案,指导临床综合治疗。

Primary hepatocellular carcinoma is a common malignant tumor at home and abroad.In 2020,it became the seventh most malignant tumor to threaten human health on a global scale,with a high mortality rate that ranked fourth among cancers.Therefore,a precise diagnosis is crucial for the prognosis of primary hepatocellular carcinoma.Radiomics,an emerging non-invasive data analysis method,extracts a large number of high-throughput features from imaging images,thereby providing a more accurate basis for clinical diagnosis and treatment decision-making.Currently,there are many radiomic models for diagnosing hepatocellular carcinoma,but there is a lack of consensus.This consensus formulates ultimate radiomics model recommendations based on the latest research evidence,an evidence-based medicine combination grading system,comprehensive consideration of clinical practice,and the experience of physician specialists so as to provide clinicians with a methodological basis for clarifying the diagnosis,developing the best decision-making scheme,and guiding clinically comprehensive treatment.