{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T17:54:03Z","timestamp":1791309243628,"version":"4.3.1"},"reference-count":19,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T00:00:00Z","timestamp":1779667200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T00:00:00Z","timestamp":1779667200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Clinical Ultrasound"],"published-print":{"date-parts":[[2026,10]]},"abstract":"ABSTRACT<\/jats:title>\n \n Background<\/jats:title>\n Second\u2010look US emerged as a feasible tool to evaluate MRI\u2010detected lesions, although data regarding the accuracy and optimal lesion selection for second\u2010look US is limited. Therefore, we evaluated the second\u2010look US detection rate of breast lesions detected initially on MRI by using MRI features and compared second\u2010look US findings across benign and malignant lesions.<\/jats:p>\n <\/jats:sec>\n \n Material and Methods<\/jats:title>\n A total of 110 MRI\u2010detected lesions subsequently evaluated with the second\u2010look US were retrospectively reviewed. The performance of MRI features in the prediction of second\u2010look US detection was evaluated with ROC analyses.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n The positive and negative predictive values of second\u2010look US for malignancy detection were 28.8% and 96.1%, respectively. In multivariate analyses, the MRI BI\u2010RADS category (OR: 11.896,\n p<\/jats:italic>\n \u2009<\u20090.001) and lesion type (OR: 9.470,\n p<\/jats:italic>\n \u2009=\u20090.001) were significantly associated with second\u2010look US detection. Combined scoring with these factors could predict second\u2010look US detection [AUC: 0.712, 95% CI: 0.617\u20130.807\n p<\/jats:italic>\n \u2009<\u20090.001]. Furthermore, lesions with irregular shapes and margins were more often malignant in the analysis of US findings (\n p<\/jats:italic>\n \u2009<\u20090.001).\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n The MRI BI\u2010RADS category and lesion type could predict detection in the second\u2010look US for MRI\u2010detected lesions. Besides, second\u2010look US could give additional information to distinguish between benign and malignant masses.<\/jats:p>\n <\/jats:sec>","DOI":"10.1002\/jcu.70274","type":"journal-article","created":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T03:27:43Z","timestamp":1779766063000},"page":"1829-1835","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Second\u2010Look Ultrasound for\n MRI<\/scp>\n \u2010Detected Lesions:\n MRI<\/scp>\n Features, Detection Rate, and Sonographic Findings"],"prefix":"10.1002","volume":"54","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6552-9947","authenticated-orcid":false,"given":"Selda","family":"Guven","sequence":"first","affiliation":[{"name":"Department of Radiology, Diskapi Yildirim Beyazit Training and Research Hospital University of Health Sciences Ankara Turkey"},{"name":"Department of Radiology, Elazig Fethi Sekin City Hospital University of Health Sciences Elazig Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baki","family":"Hekimoglu","sequence":"additional","affiliation":[{"name":"Department of Radiology, Diskapi Yildirim Beyazit Training and Research Hospital University of Health Sciences Ankara Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ata T.","family":"Arikok","sequence":"additional","affiliation":[{"name":"Department of Pathology, Diskapi Yildirim Beyazit Training and Research Hospital University of Health Sciences Ankara Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3122-4499","authenticated-orcid":false,"given":"Irmak","family":"Durur\u2010Subasi","sequence":"additional","affiliation":[{"name":"Department of Radiology, Diskapi Yildirim Beyazit Training and Research Hospital University of Health Sciences Ankara Turkey"},{"name":"Department of Radiology, Faculty of Medicine Istanbul Medipol University Istanbul Turkey"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,25]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.09.2707"},{"key":"e_1_2_9_3_1","volume-title":"ACR BI\u2010RADS Atlas: Breast Imaging Reporting and Data System; 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