{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Feng J"],"funding":["Key Disciplines of Shenzhen"],"pagination":["2648"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9689350"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["12(11)"],"pubmed_abstract":["<h4>Purpose</h4>We performed a systematic review and meta-analysis of studies that investigated the diagnostic performance of Superb Microvascular Imaging (SMI) in differentiating between benign and malignant breast tumors.<h4>Methods</h4>Studies published between January 2010 and March 2022 were retrieved by online literature search conducted in PubMed, Embase, Cochrane Library, Web of Science, China Biology Medicine Disc, China National Knowledge Infrastructure, Wanfang, and Vip databases. Pooled sensitivity, specificity, and diagnostic odd ratios were calculated using Stata software 15.0. Heterogeneity among the included studies was assessed using <i>I<sup>2</sup></i> statistic and Q test. Meta-regression and subgroup analyses were conducted to investigate potential sources of heterogen"],"journal":["Diagnostics (Basel, Switzerland)"],"pubmed_title":["Diagnostic Value of Superb Microvascular Imaging in Differentiating Benign and Malignant Breast Tumors: A Systematic Review and Meta-Analysis."],"pmcid":["PMC9689350"],"funding_grant_id":["SZXK052"],"pubmed_authors":["Feng J","Jin C","Lu J","Guo G","Chen Y","Chen S","Gong X"],"additional_accession":[]},"is_claimable":false,"name":"Diagnostic Value of Superb Microvascular Imaging in Differentiating Benign and Malignant Breast Tumors: A Systematic Review and Meta-Analysis.","description":"<h4>Purpose</h4>We performed a systematic review and meta-analysis of studies that investigated the diagnostic performance of Superb Microvascular Imaging (SMI) in differentiating between benign and malignant breast tumors.<h4>Methods</h4>Studies published between January 2010 and March 2022 were retrieved by online literature search conducted in PubMed, Embase, Cochrane Library, Web of Science, China Biology Medicine Disc, China National Knowledge Infrastructure, Wanfang, and Vip databases. Pooled sensitivity, specificity, and diagnostic odd ratios were calculated using Stata software 15.0. Heterogeneity among the included studies was assessed using <i>I<sup>2</sup></i> statistic and Q test. Meta-regression and subgroup analyses were conducted to investigate potential sources of heterogen","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Oct","modification":"2025-04-25T21:04:38.246Z","creation":"2025-04-06T08:34:07.446Z"},"accession":"S-EPMC9689350","cross_references":{"pubmed":["36359491"],"doi":["10.3390/diagnostics12112648"]}}