{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T18:26:28Z","timestamp":1789496788234,"version":"build-2803163510"},"reference-count":32,"publisher":"IOP Publishing","issue":"15","license":[{"start":{"date-parts":[[2023,7,21]],"date-time":"2023-07-21T00:00:00Z","timestamp":1689897600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2023,7,21]],"date-time":"2023-07-21T00:00:00Z","timestamp":1689897600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"crossref","award":["GSD-167032"],"award-info":[{"award-number":["GSD-167032"]}],"id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Phys. Med. Biol."],"published-print":{"date-parts":[[2023,8,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective<\/jats:italic>\n                    . Non-coplanar arc geometry optimizations that take advantage of beam\u2019s eye view (BEV) geometric overlap information have been proven to reduce dose to healthy organs-at-risk (OARs). Recently, a metric called mean arc distance (MAD) has been developed that quantifies the arc geometry sampling of 4\n                    <jats:italic>\u03c0<\/jats:italic>\n                    space. The purpose of this research is to combine improved BEV overlap information with MAD to generate static couch lung stereotactic body radiotherapy (SBRT) treatment plans deliverable on a C-arm linear accelerator.\n                    <jats:italic>Approach<\/jats:italic>\n                    . An algorithm utilizing the Moller\u2013Trumbore ray-triangle intersection method was employed to compute a cost surrogate for dose to overlapping OARs using distances interpolated onto a PDD. Cost was combined with MAD for 100 000 random combinations of arc trajectories. A pathfinding algorithm for arc selection was created, balancing the contributions of MAD and 4\n                    <jats:italic>\u03c0<\/jats:italic>\n                    cost for the final trajectory. This methodology was evaluated for 18 lung SBRT patients. Cases were also planned with arcs from a clinical treatment template protocol for dosimetric and plan quality comparison. Results were evaluated using dose constraints in the context of RTOG0915.\n                    <jats:italic>Main results<\/jats:italic>\n                    . Five of six OARs had maximum dose reductions when planned with the arc trajectory optimization algorithm. Significant maximum dose reductions were found for esophagus (7.41 \u00b1 0.91 Gy,\n                    <jats:italic>p<\/jats:italic>\n                    = 0.00019), trachea (5.56 \u00b1 1.55 Gy,\n                    <jats:italic>p<\/jats:italic>\n                    = 0.0025), spinal cord (2.87 \u00b1 1.13 Gy,\n                    <jats:italic>p<\/jats:italic>\n                    = 0.039), large bronchus (3.47 \u00b1 1.49 Gy,\n                    <jats:italic>p<\/jats:italic>\n                    = 0.0075), and aorta (3.13 \u00b1 0.99 Gy,\n                    <jats:italic>p<\/jats:italic>\n                    = 0.012). Mean dose to contralateral lung was also significantly reduced (0.50 \u00b1 0.06 Gy,\n                    <jats:italic>p<\/jats:italic>\n                    = 0.00019). There were two significant increases in OAR doses: mean dose to ipsilateral lung (0.40 \u00b1 0.09,\n                    <jats:italic>p<\/jats:italic>\n                    = 0.00086) and V5\n                    <jats:sub>Gy<\/jats:sub>\n                    to ipsilateral lung (1.95 \u00b1 0.70%,\n                    <jats:italic>p<\/jats:italic>\n                    = 0.011). Paddick conformity index increased by 0.03 \u00b1 0.02 (\n                    <jats:italic>p<\/jats:italic>\n                    = 0.14), remaining below a limit of 1.2 for both techniques.\n                    <jats:italic>Significance<\/jats:italic>\n                    . Static couch non-coplanar optimization yielded maximum dose reductions to OARs while maintaining target conformity for lung SBRT.\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/ace23f","type":"journal-article","created":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T18:42:41Z","timestamp":1687891361000},"page":"155011","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Static couch non-coplanar arc selection optimization for lung SBRT treatment planning"],"prefix":"10.1088","volume":"68","author":[{"given":"John D","family":"Lincoln","sequence":"first","affiliation":[{"name":"Dalhousie University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4175-0567","authenticated-orcid":false,"given":"R Lee","family":"MacDonald","sequence":"additional","affiliation":[{"name":"Dalhousie University"},{"name":"Dalhousie University"},{"name":"Department of Medical Physics, Nova Scotia Health,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3173-0949","authenticated-orcid":false,"given":"Alasdair","family":"Syme","sequence":"additional","affiliation":[{"name":"Dalhousie University"},{"name":"Dalhousie University"},{"name":"Department of Medical Physics, Nova Scotia Health,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher G","family":"Thomas","sequence":"additional","affiliation":[{"name":"Dalhousie University"},{"name":"Dalhousie University"},{"name":"Department of Medical Physics, Nova Scotia Health,"},{"name":"Dalhousie University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2023,7,21]]},"reference":[{"key":"pmbace23fbib1","doi-asserted-by":"publisher","first-page":"S3","DOI":"10.1016\/j.ijrobp.2009.09.040","type":"journal-article","article-title":"Quantitative analyses of normal tissue effects in the clinic (QUANTEC): an introduction to the scientific issues","volume":"76","author":"Bentzen","year":"2010","journal-title":"Int. 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All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2023-02-09","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2023-06-27","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2023-07-21","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}