{"title":"高b值弥散加权成像识别乳腺良恶性病变的准确性：一项系统回顾和荟萃分析。","authors":"Jupeng Zhang, Qi Wu, Xiqi Zhu, Baosheng Li","doi":"10.1080/14737140.2025.2510532","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the diagnostic accuracy of high b-value diffusion-weighted imaging (DWI) in differentiating malignant from benign breast lesions.</p><p><strong>Methods: </strong>A comprehensive literature search was conducted across PubMed, Embase, Cochrane Library, Scopus, and Web of Science for English-language studies on high b-value DWI in breast lesions, from inception to June 2024. Study quality was assessed, and data were extracted. Heterogeneity analysis, forest plots, Deek's funnel plots, and summary receiver operating characteristic (SROC) curves were generated using Stata 16.0 and Meta-Disc 1.4 software. Meta-regression identified sources of heterogeneity.</p><p><strong>Results: </strong>The meta-analysis included 12 studies with 1,747 patients and 1,861 breast lesions (1,000 malignant, 861 benign). Pooled diagnostic metrics were: sensitivity, 0.91 (95% CI: 0.87-0.94); specificity, 0.93 (95% CI: 0.87-0.96); positive likelihood ratio, 12.21 (95% CI: 6.91-21.57); negative likelihood ratio, 0.09 (95% CI: 0.06-0.14); diagnostic odds ratio, 130.75 (95% CI: 56.95-300.21); and AUC, 0.97 (95% CI: 0.95-0.98).</p><p><strong>Conclusion: </strong>High b-value DWI has high diagnostic accuracy in differentiating between benign and malignant breast lesions, demonstrating potential as a reliable imaging marker.</p><p><strong>Registration: </strong>PROSPERO (CRD42024568777).</p>","PeriodicalId":12099,"journal":{"name":"Expert Review of Anticancer Therapy","volume":" ","pages":"809-819"},"PeriodicalIF":2.8000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accuracy of high b-value diffusion-weighted imaging in identifying benign and malignant breast lesions: a systematic review and meta-analysis.\",\"authors\":\"Jupeng Zhang, Qi Wu, Xiqi Zhu, Baosheng Li\",\"doi\":\"10.1080/14737140.2025.2510532\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To evaluate the diagnostic accuracy of high b-value diffusion-weighted imaging (DWI) in differentiating malignant from benign breast lesions.</p><p><strong>Methods: </strong>A comprehensive literature search was conducted across PubMed, Embase, Cochrane Library, Scopus, and Web of Science for English-language studies on high b-value DWI in breast lesions, from inception to June 2024. Study quality was assessed, and data were extracted. Heterogeneity analysis, forest plots, Deek's funnel plots, and summary receiver operating characteristic (SROC) curves were generated using Stata 16.0 and Meta-Disc 1.4 software. Meta-regression identified sources of heterogeneity.</p><p><strong>Results: </strong>The meta-analysis included 12 studies with 1,747 patients and 1,861 breast lesions (1,000 malignant, 861 benign). Pooled diagnostic metrics were: sensitivity, 0.91 (95% CI: 0.87-0.94); specificity, 0.93 (95% CI: 0.87-0.96); positive likelihood ratio, 12.21 (95% CI: 6.91-21.57); negative likelihood ratio, 0.09 (95% CI: 0.06-0.14); diagnostic odds ratio, 130.75 (95% CI: 56.95-300.21); and AUC, 0.97 (95% CI: 0.95-0.98).</p><p><strong>Conclusion: </strong>High b-value DWI has high diagnostic accuracy in differentiating between benign and malignant breast lesions, demonstrating potential as a reliable imaging marker.</p><p><strong>Registration: </strong>PROSPERO (CRD42024568777).</p>\",\"PeriodicalId\":12099,\"journal\":{\"name\":\"Expert Review of Anticancer Therapy\",\"volume\":\" \",\"pages\":\"809-819\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Expert Review of Anticancer Therapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/14737140.2025.2510532\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/5/27 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Review of Anticancer Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/14737140.2025.2510532","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/5/27 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Accuracy of high b-value diffusion-weighted imaging in identifying benign and malignant breast lesions: a systematic review and meta-analysis.
Objective: To evaluate the diagnostic accuracy of high b-value diffusion-weighted imaging (DWI) in differentiating malignant from benign breast lesions.
Methods: A comprehensive literature search was conducted across PubMed, Embase, Cochrane Library, Scopus, and Web of Science for English-language studies on high b-value DWI in breast lesions, from inception to June 2024. Study quality was assessed, and data were extracted. Heterogeneity analysis, forest plots, Deek's funnel plots, and summary receiver operating characteristic (SROC) curves were generated using Stata 16.0 and Meta-Disc 1.4 software. Meta-regression identified sources of heterogeneity.
Results: The meta-analysis included 12 studies with 1,747 patients and 1,861 breast lesions (1,000 malignant, 861 benign). Pooled diagnostic metrics were: sensitivity, 0.91 (95% CI: 0.87-0.94); specificity, 0.93 (95% CI: 0.87-0.96); positive likelihood ratio, 12.21 (95% CI: 6.91-21.57); negative likelihood ratio, 0.09 (95% CI: 0.06-0.14); diagnostic odds ratio, 130.75 (95% CI: 56.95-300.21); and AUC, 0.97 (95% CI: 0.95-0.98).
Conclusion: High b-value DWI has high diagnostic accuracy in differentiating between benign and malignant breast lesions, demonstrating potential as a reliable imaging marker.
期刊介绍：
Expert Review of Anticancer Therapy (ISSN 1473-7140) provides expert appraisal and commentary on the major trends in cancer care and highlights the performance of new therapeutic and diagnostic approaches.
Coverage includes tumor management, novel medicines, anticancer agents and chemotherapy, biological therapy, cancer vaccines, therapeutic indications, biomarkers and diagnostics, and treatment guidelines. All articles are subject to rigorous peer-review, and the journal makes an essential contribution to decision-making in cancer care.
Comprehensive coverage in each review is complemented by the unique Expert Review format and includes the following sections:
Expert Opinion - a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results
Article Highlights – an executive summary of the author’s most critical points.
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