{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T06:00:49Z","timestamp":1784786449992,"version":"3.55.0"},"reference-count":37,"publisher":"IOP Publishing","issue":"4","license":[{"start":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T00:00:00Z","timestamp":1784764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T00:00:00Z","timestamp":1784764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T00:00:00Z","timestamp":1784764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/questions\/alternative-author-rights-policies\/"},{"start":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T00:00:00Z","timestamp":1784764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/questions\/alternative-author-rights-policies\/"}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Biomed. Phys. Eng. Express"],"published-print":{"date-parts":[[2026,8,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Background.<\/jats:italic>\n                    Breast reconstruction after mastectomy is limited by geographic disparities, surgical complexity, socioeconomic factors, and incomplete restoration of native anatomy. Customized prostheses offer a non-invasive alternative that could help mitigate some of the barriers to patients undergoing mastectomy.\n                    <jats:italic>Objective.<\/jats:italic>\n                    To develop Restora, a semi-automated software that converts clinical imaging into 3D-printable, patient-specific breast prostheses at the point of care.\n                    <jats:italic>Methods.<\/jats:italic>\n                    Twelve breast MRI datasets were segmented manually in 3D Slicer and semi-automated in Restora. Segmentation accuracy was evaluated using Dice similarity coefficients, volumetric comparisons, and surface distance metrics. Prostheses were 3D-printed using biocompatible polylactic acid, thermoplastic polyurethane, and resin to assess feasibility, print time, and material suitability.\n                    <jats:italic>Results.<\/jats:italic>\n                    Restora reduced manual intervention to a single modification per case versus 5\u20136 for manual segmentation. The Mean Dice coefficient was 0.82, with a mean surface deviation of 4.3 mm and volume discrepancies ranging from 5.9% to 54.7%. Prostheses were successfully printed across materials within 9\u201317 h, demonstrating feasibility for clinical use. Limitations included flat posterior designs and localized geometric deviations, particularly in larger breasts.\n                    <jats:italic>Conclusion.<\/jats:italic>\n                    Restora enables rapid, semi-automated generation of anatomically consistent, 3D-printable breast prostheses, reducing labor, while maintaining acceptable geometric fidelity. Future work will integrate upright imaging, improved segmentation algorithms, and post-mastectomy chest wall modeling to enhance comfort, fit, and aesthetic outcomes, supporting personalized prosthetic care for diverse patient populations.\n                  <\/jats:p>","DOI":"10.1088\/2057-1976\/ae8af5","type":"journal-article","created":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T22:47:57Z","timestamp":1784155677000},"page":"047004","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Customized 3D-printed breast prostheses using patient imaging at the point of care: feasibility and proof-of-concept study"],"prefix":"10.1088","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-7300-7860","authenticated-orcid":true,"given":"Rand","family":"Kittani","sequence":"first","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Raaghav","family":"Pillai","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaiwen","family":"Ren","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aditi","family":"Kaveti","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laya","family":"Krishnan","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-5160-1992","authenticated-orcid":true,"given":"Anna","family":"Wilke","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5460-7174","authenticated-orcid":true,"given":"Aidan","family":"Menees","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2472-746X","authenticated-orcid":true,"given":"Victor","family":"Stams","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign"},{"name":"Carle Foundation Hospital"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2026,7,23]]},"reference":[{"key":"bpexae8af5bib1","doi-asserted-by":"publisher","first-page":"426","DOI":"10.6004\/jnccn.2025.0053","type":"journal-article","article-title":"NCCN Guidelines\u00ae Insights: Breast Cancer, Version 5.2025","volume":"23","author":"Gradishar","year":"2025","journal-title":"J. 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