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探索剪切波弹性成像在前列腺癌中的潜在临床价值:一项荟萃分析。

Exploring the potential clinical value of shear wave elastography in prostate cancer: a meta-analysis.

作者信息

Liu Danli, Lin Weilong, Wei Cailiu, Huang Yiqi, Chen Fenjuan, Zhang Yanling, Pu Feifei

机构信息

Department of Oncology, Shaoxing Second Hospital, Shaoxing, Zhejiang, China.

Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.

出版信息

BMC Cancer. 2025 Jul 1;25(1):1032. doi: 10.1186/s12885-025-14414-3.

Abstract

The potential role of shear wave elastography (SWE) in prostate cancer (PCa) remains unclear. We systematically searched PubMed, Web of Science, and the Cochrane Library databases to identify correlated studies up to Dec 2024. A total of 137 studies were identified for potential inclusion, and 11 studies were included, comprising 1551 PCa patients. The pooled sensitivity, specificity, and the area under the summary receiver operating characteristic curve (AUC) for detecting malignant prostatic nodules were 90% (95% CI, 81-95%), 75% (95% CI, 62-84%) and 90% (95% CI: 87, 92%) in per-patient analysis, respectively. The sensitivity, specificity, and AUC were 86% (95% CI: 72%, 95%), 86% (95% CI: 78%, 92%) and 92% (95% CI: 90%, 94%) in per-sextant analysis. Publication bias test addressed low significant small-study bias. We found that SWE may serve as a potential diagnostic strategy for PCa and may help to reduce the number of core biopsies. Since limited quantity and small sample size of included studies, further well-designed studies are strongly encouraged to address this promising strategy.

摘要

剪切波弹性成像(SWE)在前列腺癌(PCa)中的潜在作用尚不清楚。我们系统检索了PubMed、科学网和考克兰图书馆数据库,以识别截至2024年12月的相关研究。共识别出137项可能纳入的研究,纳入了11项研究,包括1551例PCa患者。在每位患者分析中,检测恶性前列腺结节的合并敏感性、特异性和汇总受试者工作特征曲线下面积(AUC)分别为90%(95%CI,81-95%)、75%(95%CI,62-84%)和90%(95%CI:87,92%)。在每个象限分析中,敏感性、特异性和AUC分别为86%(95%CI:72%,95%)、86%(95%CI:78%,92%)和92%(95%CI:90%,94%)。发表偏倚检验显示存在低显著性的小研究偏倚。我们发现SWE可能作为PCa的一种潜在诊断策略,可能有助于减少穿刺活检的次数。由于纳入研究的数量有限且样本量较小,强烈鼓励进一步开展设计良好的研究来探讨这一有前景的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84d7/12210685/d8448bd730e4/12885_2025_14414_Fig1_HTML.jpg

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