The Role of (68)Ga-PSMA Positron Emission Tomography/Computerized Tomography for Preoperative Lymph Node Staging in Intermediate/High Risk Patients With Prostate Cancer: A Diagnostic Meta-Analysis

(68)Ga-PSMA 正电子发射断层扫描/计算机断层扫描在前列腺癌中高危患者术前淋巴结分期中的作用:一项诊断性荟萃分析

阅读:1

Abstract

Purpose: To evaluate the accuracy of (68)Ga-PSMA positron emission tomography/computerized tomography (PET/CT) for preoperative lymph node staging using histopathological results of pelvic lymph node dissection (PLND) as reference standard in patients with intermediate/high risk of prostate cancer. Material and Methods: A systematic search of PubMed, Embase, and the Cochrane Library was completed up to May 2020. We included studies investigating accuracy of (68)Ga-PSMA PET/CT in primary lymph node staging before radical prostatectomy and PLND. The pooled sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), diagnostic odds ratio (DOR), and the summary receiver operating characteristic (SROC) curve with an area under the curve (AUC) were synthesized. Results: Eleven studies comprising 904 patients were identified. Based on per-patient analysis, the pooled sensitivity and specificity reached 0.63 (95% CI: 0.46-0.78) and 0.93 (95% CI: 0.88-0.96), respectively, with the DOR of 22 (95% CI: 10-47). An overall accuracy was revealed by the SROC curve with AUC of 0.91 (95% CI: 0.88-0.93). Using the lymph node as unit, the pooled sensitivity and specificity were 0.70 (95% CI: 0.49-0.85) and 0.99 (95% CI: 0.96-1.00), respectively. And the DOR reached 167 (95% CI: 40-695) with an AUC of 0.96 (95% CI: 0.94-0.98). The pooled PPV and NPV all reached above 0.8 on basis of per-patient or per-node analysis. Conclusions: (68)Ga-PSMA PET/CT represented as a promising test for preoperative lymph node staging and patients without lymph node metastatic status can rarely be misdiagnosed. However, its sensitivity ought to be improved before forgoing PLND.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。