Zhang Qing, Dai Xiaoli, Li Wei
Department of Medical Imaging, Jiangsu Vocational College of Medicine, Yancheng, China.
Front Oncol. 2022 Oct 18;12:931592. doi: 10.3389/fonc.2022.931592. eCollection 2022.
To systematically assess the diagnostic performance of the Bosniak classification, version 2019 for risk stratification of cystic renal masses.
We conducted an electronic literature search on Web of Science, MEDLINE (Ovid and PubMed), Cochrane Library, EMBASE, and Google Scholar to identify relevant articles between June 1, 2019 and March 31, 2022 that used the Bosniak classification, version 2019 for risk stratification of cystic renal masses. Summary estimates of sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-), and diagnostic odds ratio (DOR) were pooled with the bivariate model and hierarchical summary receiver operating characteristic (HSROC) model. The quality of the included studies was assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool.
A total of eight studies comprising 720 patients were included. The pooled sensitivity and specificity were 0.85 (95% CI 0.79-0.90) and 0.68 (95% CI 0.58-0.76), respectively, for the class III/IV threshold, with a calculated area under the HSROC curve of 0.84 (95% CI 0.81-0.87). The pooled LR+, LR-, and DOR were 2.62 (95% CI 2.0-3.44), 0.22 (95% CI 0.16-0.32), and 11.7 (95% CI 6.8-20.0), respectively. The Higgins statistics demonstrated substantial heterogeneity across studies, with an of 57.8% for sensitivity and an of 74.6% for specificity. In subgroup analyses, the pooled sensitivity and specificity for CT were 0.86 and 0.71, respectively, and those for MRI were 0.87 and 0.67, respectively. In five studies providing a head-to-head comparison between the two versions of the Bosniak classification, the 2019 version demonstrated significantly higher specificity (0.62 0.41, < 0.001); however, it came at the cost of a significant decrease in sensitivity (0.88 0.94, = 0.001).
The Bosniak classification, version 2019 demonstrated moderate sensitivity and specificity, and there was no difference in diagnostic accuracy between CT and MRI. Compared to version 2005, the Bosniak classification, version 2019 has the potential to significantly reduce overtreatment, but at the cost of a substantial decline in sensitivity.
系统评估2019版博斯尼亚克分类法对肾囊性肿块风险分层的诊断性能。
我们在科学网、MEDLINE(Ovid和PubMed)、Cochrane图书馆、EMBASE和谷歌学术上进行了电子文献检索,以识别2019年6月1日至2022年3月31日期间使用2019版博斯尼亚克分类法对肾囊性肿块进行风险分层的相关文章。使用双变量模型和分层汇总接受者操作特征(HSROC)模型汇总敏感性、特异性、阳性似然比(LR+)、阴性似然比(LR-)和诊断比值比(DOR)的汇总估计值。使用诊断准确性研究质量评估-2工具评估纳入研究的质量。
共纳入8项研究,涉及720例患者。对于III/IV级阈值,汇总敏感性和特异性分别为0.85(95%CI 0.79-0.90)和0.68(95%CI 0.58-0.76),HSROC曲线下计算面积为0.84(95%CI 0.81-0.87)。汇总的LR+、LR-和DOR分别为2.62(95%CI 2.0-3.44)、0.22(95%CI 0.16-0.32)和11.7(95%CI 6.8-20.0)。Higgins统计显示各研究间存在显著异质性,敏感性的I²为57.8%,特异性的I²为74.6%。在亚组分析中,CT的汇总敏感性和特异性分别为0.86和0.71,MRI的分别为0.87和0.67。在五项对博斯尼亚克分类法两个版本进行直接比较的研究中,2019版显示出显著更高的特异性(0.62对0.41,P<0.001);然而,这是以敏感性显著降低为代价的(0.88对0.94,P=0.001)。
2019版博斯尼亚克分类法显示出中等的敏感性和特异性,CT和MRI的诊断准确性无差异。与2005版相比,2019版博斯尼亚克分类法有可能显著减少过度治疗,但代价是敏感性大幅下降。