{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T05:33:06Z","timestamp":1790141586714,"version":"4.0.1"},"reference-count":27,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2021,3,17]],"date-time":"2021-03-17T00:00:00Z","timestamp":1615939200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Ultrasound"],"published-print":{"date-parts":[[2022,2]]},"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>We aimed to describe shear wave elastography parameters of non-mass lesions of the breast and to assess the measures of diagnostic accuracy of shear wave elastography in the differentiation of non-mass lesions compared with conventional ultrasound, using histopathologic results as the reference standard.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This retrospective study included breast ultrasound-detected non-mass lesions with a confirmed pathologic diagnosis during a two-year study period. B-mode ultrasound and shear wave elastography were performed for all lesions before biopsy. Ultrasound features, shear wave elastography parameters (mean elasticity and maximum stiffness color), as well as Breast Imaging-Reporting and Data System categories were recorded for each lesion. Measures of diagnostic accuracy of ultrasound and ultrasound\u2009+\u2009shear wave elastography were also assessed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>From a total of 567 breast lesions requiring core-needle biopsy, 49 (8.6%) were considered as non-mass lesions. Based on histopathologic reports, 32 patients (65.3%) had non-high-risk benign lesions, five (10.2%) had high-risk benign lesions, five (10.2%) had ductal carcinoma in situ, and seven (14.3%) had invasive carcinoma. There was no significant difference in patients\u2019 age and palpability between benign and malignant lesions ( p\u2009=\u20090.16 and p\u2009=\u20090.12, respectively). Mean elasticity values and Breast Imaging-Reporting and Data System categories were significantly higher among malignant lesions compared with benign non-mass lesions (both p\u2009&lt;\u20090.001). Furthermore, the addition of shear wave elastography to grayscale ultrasound increased the specificity, positive predictive value, and diagnostic accuracy.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The complementary use of shear wave elastography with conventional ultrasound might help in the differentiation of non-mass breast lesions and has the potential to decrease the frequency of unnecessary biopsies performed for benign non-mass lesions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/1742271x21998721","type":"journal-article","created":{"date-parts":[[2021,3,17]],"date-time":"2021-03-17T03:30:06Z","timestamp":1615951806000},"page":"44-51","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":12,"title":["Can shear wave elastography be utilized as an additional tool for the assessment of non-mass breast lesions?"],"prefix":"10.1177","volume":"30","author":[{"given":"Sepideh","family":"Sefidbakht","sequence":"first","affiliation":[{"name":"Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0300-5491","authenticated-orcid":false,"given":"Sara","family":"Haseli","sequence":"additional","affiliation":[{"name":"Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran"},{"name":"Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neda","family":"Khalili","sequence":"additional","affiliation":[{"name":"School of Medicine, Tehran University of Medical Sciences, Tehran, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vahid","family":"Bazojoo","sequence":"additional","affiliation":[{"name":"Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pedram","family":"Keshavarz","sequence":"additional","affiliation":[{"name":"Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4815-0345","authenticated-orcid":false,"given":"Banafsheh","family":"Zeinali-Rafsanjani","sequence":"additional","affiliation":[{"name":"Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, 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