Mirón Mombiela Rebeca, Balschmidt Trine, Birch Carsten, Lyngby Clarissa Gevargez, Bretlau Thomas
Department of Radiology, Herlev and Gentofte Hospital, Borgmester Ib Juuls Vej 1, 2730, Herlev, Denmark.
Department of Radiology, Zealand University Hospital, Lykkebækvej 1, 4600, Køge, Denmark.
Abdom Radiol (NY). 2025 Jan;50(1):360-378. doi: 10.1007/s00261-024-04514-2. Epub 2024 Aug 13.
To perform a systematic review and meta-analysis of the diagnostic performance of contrast enhancement to differentiate benign and malignant renal lesions using CT and MRI.
A systematic literature search of databases was performed between January 1, 1980 and September 26, 2022. We included studies reporting the accuracy of CE thresholds on CT and MRI indeterminate renal lesions, with pathologic examination and follow-up as the reference standard. Studies meeting the inclusion criteria underwent quality assessment with the Cochrane recommendation for diagnostic accuracy study Quality Assessment 2. We excluded studies with high risk of bias. Summary estimates of diagnostic performance were obtained with the bivariate Bayesian model for CT and MRI. Effects of different thresholds and index test modalities were investigated through subgroup analysis.
Eleven studies (1372 patients) using CT and six studies (218 patients) using MRI were included. Of the eleven studies, 15 parts from 9 studies were considered for the CT meta-analysis, and 6 parts from 3 studies for the MRI meta-analysis. Diagnostic performance meta-analysis on enhancement found a 96% summary sensitivity (95% CI 92, 98) and a 92% summary specificity (95% CI 85, 96) in 2056 renal lesions for CT; and 82% summary sensitivity (95% CI 65, 89) and an 89% summary specificity (95% CI 77, 95) in 634 lesions for MRI.
CT and MRI have high accuracy to determine enhancement and classify renal lesions, and both modalities can be used with confidence for this purpose. There are still some controversies about the optimal thresholds. Future research should evaluate outcomes and decision-making pathways to determine whether basing clinical decisions on a specific threshold on CT and MRI would do more harm than good.
对使用CT和MRI的对比增强诊断性能进行系统评价和荟萃分析,以鉴别肾脏良恶性病变。
于1980年1月1日至2022年9月26日对数据库进行系统文献检索。我们纳入了报告CT和MRI上不确定肾脏病变的对比增强阈值准确性的研究,以病理检查和随访作为参考标准。符合纳入标准的研究采用Cochrane诊断准确性研究质量评估2进行质量评估。我们排除了存在高偏倚风险的研究。采用双变量贝叶斯模型对CT和MRI的诊断性能进行汇总估计。通过亚组分析研究不同阈值和指标检测方式的影响。
纳入11项使用CT的研究(1372例患者)和6项使用MRI的研究(218例患者)。在这11项研究中,9项研究的15部分被纳入CT荟萃分析,3项研究的6部分被纳入MRI荟萃分析。增强诊断性能荟萃分析发现,在2056个肾脏病变中,CT的汇总敏感性为96%(95%CI 92, 98),汇总特异性为92%(95%CI 85, 96);在634个病变中,MRI的汇总敏感性为82%(95%CI 65, 89),汇总特异性为89%(95%CI 77, 95)。
CT和MRI在确定增强及对肾脏病变分类方面具有较高准确性,两种方式均可放心用于此目的。关于最佳阈值仍存在一些争议。未来研究应评估结果和决策途径,以确定基于CT和MRI的特定阈值做出临床决策是否弊大于利。