Xiao Qinyu, Zhu Wenjun, Tang Huanliang, Zhou Lijie
Jiaxing University Master Degree Cultivation Base, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310053, China.
Department of Ultrasound, Affiliated Hospital of Jiaxing University (Jiaxing First Hospital), Jiaxing, Zhejiang 314000, China.
Heliyon. 2023 Jun 3;9(6):e16997. doi: 10.1016/j.heliyon.2023.e16997. eCollection 2023 Jun.
To systematically assess the clinical value of ultrasound radiomics in the prediction of microvascular invasion in hepatocellular carcinoma (HCC).
Relevant articles were searched in PubMed, Web of Science, Cochrane Library, Embase and Medline and screened according to the eligibility criteria. The quality of the included articles was assessed based on the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. After article assessment and data extraction, the diagnostic performance of ultrasound radiomics was evaluated based on pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR) and diagnostic odds ratio (DOR), and the area under the curve (AUC) was calculated by generating the ROC curve. Meta-analysis was performed using Stata 15.1, and subgroup analysis was conducted to identify the sources of heterogeneity. A Fagan nomogram was generated to assess the clinical utility of ultrasound radiomics.
Five studies involving 1260 patients were included. Meta-analysis showed that ultrasound radiomics had a pooled sensitivity of 79% (95% : 75-83%), specificity of 70% (95% : 59-79%), PLR of 2.6 (95% : 1.9-3.7), NLR of 0.30 (95% : 0.23-0.39), DOR of 9 (95% : 5-16), and AUC of 0.81 (95% : 0.78-0.85). Sensitivity analysis indicated that the results were statistically reliable and stable, and no significant difference was identified during subgroup analysis.
Ultrasound radiomics has favorable predictive performance in the microvascular invasion of HCC and may serve as an auxiliary tool for guiding clinical decision-making.
系统评估超声影像组学在预测肝细胞癌(HCC)微血管侵犯中的临床价值。
在PubMed、Web of Science、Cochrane图书馆、Embase和Medline中检索相关文章,并根据纳入标准进行筛选。基于诊断准确性研究质量评估-2(QUADAS-2)工具评估纳入文章的质量。在文章评估和数据提取后,基于合并敏感性、特异性、阳性似然比(PLR)、阴性似然比(NLR)和诊断比值比(DOR)评估超声影像组学的诊断性能,并通过生成ROC曲线计算曲线下面积(AUC)。使用Stata 15.1进行Meta分析,并进行亚组分析以识别异质性来源。生成Fagan列线图以评估超声影像组学的临床实用性。
纳入5项研究,共1260例患者。Meta分析显示,超声影像组学的合并敏感性为79%(95%:75-83%),特异性为70%(95%:59-79%),PLR为2.6(95%:1.9-3.7),NLR为0.30(95%:0.23-0.39),DOR为9(95%:5-16),AUC为0.81(95%:0.78-0.85)。敏感性分析表明结果具有统计学可靠性和稳定性,亚组分析未发现显著差异。
超声影像组学在HCC微血管侵犯方面具有良好的预测性能,可作为指导临床决策的辅助工具。