{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/86448"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/86448","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"An Automatic Planning Method for Breast Electronic Tissue Compensation Treatments Based on Breast Radius and Separation","abstract":"M.S.","abstract_html":"M.S.","abstract_has_math":false,"creators":["Podgorsak, Alexander; 0000-0001-6351-703X"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Kumaraswamy, Lalith","Radiology"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-02-21T17:22:32Z","date_published":"2025-02-21T17:22:32Z","updated_at":"2026-07-27T19:05:32Z","subjects":["medical imaging"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10477/86448","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kumaraswamy, Lalith","Radiology"]},{"key":"dc:creator","label":"Author","values":["Podgorsak, Alexander; 0000-0001-6351-703X"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-02-21T17:22:32Z","2020"]},{"key":"dc:publisher","label":"Institution","values":["State University of New York at Buffalo"]},{"key":"dc:type","label":"Dc Type","values":["Text","Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["medical imaging"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/86448"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["M.S.","One of the techniques used for breast radiation therapy employs two electronically compensated tangent fields. This technique has been shown to minimize irradiation of the surrounding pulmonary and cardiac tissue, while improving the homogeneity of the delivered dose within the breast volume. Much work has been carried out to correlate the size and shape of the breast, defined by breast radius and separation, with the amount of tissue compensation needed to deliver the most homogenous dose distribution. These methods so far have assumed either a single or three radius and separation measurements throughout the breast volume (called the one- and three-region breast model), instead of accounting for the variation in radius and separation in the cranio-caudal direction. We developed a semi-supervised algorithm to determine the size and shape of the breast at each axial location using the pre-treatment CT-simulation image data, and correlate it to the optimal level of tissue compensation. Ten treatment plans generated in this manner were compared with the original medical dosimetrist plans for the dose homogeneity throughout the breast volume and for conformity to institutional dose constraints. Additional comparisons were with plans generated using the one- and three-region breast models. We measured statistically non-inferior dose homogeneity from plans generated from our automated framework compared with the medical dosimetrist plans over the collected courses. Additionally, our framework's plans improved on dose homogeneity compared with plans generated using the one- and three-region breast model, indicating that considering the variation in the breast radius and separation in the cranio-caudal direction improves the treatment plans. Compared with the medical dosimetrist plans, our automated algorithm requires much less user input and generates plans in an average of 20 seconds compared with the 30 minutes of full attention it can take a dosimetrist. This work indicates the potential clinical utility for an automated technique for the generation of more homogenous breast electronic compensation treatment plans compared with a one- or three-region breast model. We envision this process attaining a more consistently homogenous starting point for further optimization by the medical dosimetrist compared with the current standard starting point one-region breast model.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["An Automatic Planning Method for Breast Electronic Tissue Compensation Treatments Based on Breast Radius and Separation"]}]}],"canonical_facts":{"dc:contributor":["Kumaraswamy, Lalith","Radiology"],"dc:creator":["Podgorsak, Alexander; 0000-0001-6351-703X"],"dc:date":["2025-02-21T17:22:32Z","2020"],"dc:description":["M.S.","One of the techniques used for breast radiation therapy employs two electronically compensated tangent fields. This technique has been shown to minimize irradiation of the surrounding pulmonary and cardiac tissue, while improving the homogeneity of the delivered dose within the breast volume. Much work has been carried out to correlate the size and shape of the breast, defined by breast radius and separation, with the amount of tissue compensation needed to deliver the most homogenous dose distribution. These methods so far have assumed either a single or three radius and separation measurements throughout the breast volume (called the one- and three-region breast model), instead of accounting for the variation in radius and separation in the cranio-caudal direction. We developed a semi-supervised algorithm to determine the size and shape of the breast at each axial location using the pre-treatment CT-simulation image data, and correlate it to the optimal level of tissue compensation. Ten treatment plans generated in this manner were compared with the original medical dosimetrist plans for the dose homogeneity throughout the breast volume and for conformity to institutional dose constraints. Additional comparisons were with plans generated using the one- and three-region breast models. We measured statistically non-inferior dose homogeneity from plans generated from our automated framework compared with the medical dosimetrist plans over the collected courses. Additionally, our framework's plans improved on dose homogeneity compared with plans generated using the one- and three-region breast model, indicating that considering the variation in the breast radius and separation in the cranio-caudal direction improves the treatment plans. Compared with the medical dosimetrist plans, our automated algorithm requires much less user input and generates plans in an average of 20 seconds compared with the 30 minutes of full attention it can take a dosimetrist. This work indicates the potential clinical utility for an automated technique for the generation of more homogenous breast electronic compensation treatment plans compared with a one- or three-region breast model. We envision this process attaining a more consistently homogenous starting point for further optimization by the medical dosimetrist compared with the current standard starting point one-region breast model.","**To request an accessible version of the file(s) associated with this item, contact library@buffalo.edu. Please include the item's persistent URL [http://hdl.handle.net/. . .] in your request.**"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/86448"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["medical imaging"],"dc:title":["An Automatic Planning Method for Breast Electronic Tissue Compensation Treatments Based on Breast Radius and Separation"],"dc:type":["Text","Thesis"]},"updated_at":"2026-07-27T19:05:32Z"}