{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T10:21:27Z","timestamp":1774866087371,"version":"3.50.1"},"reference-count":25,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T00:00:00Z","timestamp":1758585600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T00:00:00Z","timestamp":1758585600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The clinical standard practice of surface brachytherapy (SB) planning has long been to use computed tomography (CT) imaging to visualize applicators for catheter reconstruction in the treatment planning process. Recent work in SB has suggested that magnetic resonance (MR)\u2010guidance can be used in place of CT\u2010guidance in SB planning to utilize the increased soft tissue contrast for visualization of diseased tissue. This soft tissue visualization can be used to verify the target depth for enhanced coverage of the clinical target volume. Two optimized MR sequences (pointwise encoded time reduction with radial acquisition (PETRA) and volumetric interpolated breath\u2010hold examination (VIBE) obtaining Dixon in\u2010phase (DIP) and Dixon opposed\u2010phase (DOP)) have been shown to detect sufficient signal from the silicone\u2010based applicators to perform accurate catheter reconstruction and produce SB treatment plans.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>This study compares three in\u2010house MR series optimized for applicator visualization to determine which is best\u2010suited for SB planning based on tissue contrast and applicator visibility. This study then applies this series to produce MR\u2010only SB treatment plans geometrically and dosimetrically comparable to those produced by CT\u2010only for a phantom and eight patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>An anthropomorphic phantom (True Phantom Solutions, Canada) with applicators (Elekta, Netherlands) on the foot and hand and eight patients undergoing SB for Dupuytren's Contracture\/Palmar fascial fibromatosis were imaged by two optimized MR sequences: 1) PETRA and 2) VIBE obtaining DIP and DOP images. CT scans were acquired for verification. SB planning was performed in Oncentra Brachy (Elekta, Netherlands) treatment planning software using three MR series and CT. MR\u2010based and CT\u2010based plans were compared for geometric and dosimetric accuracy. Geometric accuracy was determined by registering CT\u2010based to MR\u2010based catheter digitizations and calculating distances between corresponding dwell positions. Patient MR images were compared using signal\u2010to\u2010noise ratios (SNR's) and contrast\u2010to\u2010noise ratios (CNR's) for various regions of interest (ROIs) including bone, fat, muscle, and applicator. The series with the greatest tissue contrast and applicator visualization was used to produce treatment plans. MR\u2010based plans were compared to CT\u2010based plans by point\u2010based dose differences (DD's). The MR\u2010based plan was rigidly registered to the CT\u2010based plans, and the isodose volumes were segmented to V150, V125, V100, V95, V90, V80, and V65 and compared using the Dice similarity coefficient (DSC) and volumetric similarity (VS) metric.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The distances between the CT\u2010based and MR\u2010based dwell positions were on average 1\u00a0mm. The DOP series displayed superior SNR's for all ROIs compared to PETRA and DIP. CNR's for DOP were equivalent to DIP and superior to PETRA. DD's were all below 5% between MR\u2010based and CT\u2010based plans. DSC's were above 0.9 for all segmentations associated with the phantoms and 0.8 for those associated with the patients. VS was above 0.98 for all segmentations across all subjects.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The geometric accuracy of each MR sequence suggests that each can produce accurate treatment plans. The higher SNR's for DOP suggest DOP's suitability for SB, and DOP was utilized to create plans comparable to CT. This novel approach can result in more robust target coverage and potentially improve patient outcomes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mp.70031","type":"journal-article","created":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T12:53:47Z","timestamp":1758632027000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Comparison of optimized magnetic resonance sequences for patient\u2010specific treatment planning in surface brachytherapy"],"prefix":"10.1002","volume":"52","author":[{"given":"Michael J.","family":"Lavelle","sequence":"first","affiliation":[{"name":"Department of Radiation Oncology Dana\u2010Farber\/Brigham and Women's Cancer Center Harvard Medical School  Boston Massachusetts USA"},{"name":"Department of Physics and Applied Physics University of Massachusetts Lowell  Lowell Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Evangelia","family":"Kaza","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Dana\u2010Farber\/Brigham and Women's Cancer Center Harvard Medical School  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Phillip M.","family":"Devlin","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Dana\u2010Farber\/Brigham and Women's Cancer Center Harvard Medical School  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ivan M.","family":"Buzurovic","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Dana\u2010Farber\/Brigham and Women's Cancer Center Harvard Medical School  Boston Massachusetts USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2025,9,23]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/mp.15224"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.brachy.2022.01.003"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/mp.14436"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1201\/9781003226017-15"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.4103\/tjps.TJPS_2_17"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.brachy.2017.06.011"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.5114\/jcb.2021.105285"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.5114\/jcb.2024.135647"},{"key":"e_1_2_9_10_1","volume-title":"New Trends in Engineering Research 2024. 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