{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:54:16Z","timestamp":1760151256933,"version":"build-2065373602"},"reference-count":59,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Tomography"],"abstract":"<jats:p>Ultrasound is commonly used as an imaging tool in the medical sector. Compared to standard ultrasound imaging, quantitative ultrasound analysis can provide more details about a material microstructure. In this study, quantitative ultrasound analysis was conducted through computational modeling to detect various breast duct pathologies in the surgical margin tissue. Both pulse-echo and pitch-catch methods were evaluated for a high-frequency (22\u201341 MHz) ultrasound analysis. The computational surgical margin modeling was based on various conditions of breast ducts, such as normal duct, ductal hyperplasia, DCIS, and calcification. In each model, ultrasound pressure magnitude variation in the frequency spectrum was analyzed through peak density and mean-peak-to-valley distance (MPVD) values. Furthermore, the spectral patterns of all the margin models were compared to extract more pathology-based information. For the pitch-catch mode, only peak density provided a trend in relation to different duct pathologies. For the pulse-echo mode, only the MPVD was able to do that. From the spectral comparison, it was found that overall pressure magnitude, spectral variation, peak pressure magnitude, and corresponding frequency level provided helpful information to differentiate various pathologies in the surgical margin.<\/jats:p>","DOI":"10.3390\/tomography8020047","type":"journal-article","created":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T21:31:47Z","timestamp":1646170307000},"page":"570-584","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Finite Element Modeling of Quantitative Ultrasound Analysis of the Surgical Margin of Breast Tumor"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8587-4898","authenticated-orcid":false,"given":"Koushik","family":"Paul","sequence":"first","affiliation":[{"name":"School for Engineering of Matter, Transport and Energy, Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85281, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1873-098X","authenticated-orcid":false,"given":"Samuel","family":"Razmi","sequence":"additional","affiliation":[{"name":"EnMed Department, Texas A&M College of Medicine, Houston, TX 77807, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Barbara A.","family":"Pockaj","sequence":"additional","affiliation":[{"name":"Mayo Clinic in Arizona, Surgery, Phoenix, AZ 85054, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5715-9851","authenticated-orcid":false,"given":"Leila","family":"Ladani","sequence":"additional","affiliation":[{"name":"School for Engineering of Matter, Transport and Energy, Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85281, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeremy","family":"Stromer","sequence":"additional","affiliation":[{"name":"Survivability Engineering Branch, US Army Engineer Research and Development Center, Vicksburg, MS 39180, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2717","DOI":"10.1245\/s10434-009-0609-z","article-title":"Obtaining adequate surgical margins in breast-conserving therapy for patients with early-stage breast cancer: Current modalities and future directions","volume":"16","author":"Pleijhuis","year":"2009","journal-title":"Ann. Surg. 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