{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T18:26:19Z","timestamp":1789496779668,"version":"build-2803163510"},"reference-count":25,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T00:00:00Z","timestamp":1718668800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Applied Clin Med Phys"],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Noncoplanar arc optimization has been shown to reduce OAR doses in SRS\/SRT and has the potential to reduce doses to OARs in SBRT. Extracranial targets have additional considerations, including large OARs and, in the case of the liver, volume constraints on the healthy liver. Considering pathlengths through OARs that encompass target volumes may lead to specific dose reductions as in the encompassing healthy liver tissue. These optimizations must also leverage delivery efficiency and trajectory sampling to ensure ease of clinical translation. The purpose of this research is to generate optimized static\u2010couch arcs that separately consider serial and parallel OARs and arc delivery efficiency, with a trajectory sampling metric, towards the aim of reducing dose to OARs and the surrounding healthy liver tissue. Separate BEV cost maps were created for parallel, and serial OARs by means of a fast ray\u2010triangle intersection algorithm. An additional BEV cost map was created for the liver which, by definition, encompasses the liver tumors. The individual costs of these maps were summed and combined with the sampling metric for 100 000 random combinations of arc trajectories. A search algorithm was applied to find an arc trajectory solution that satisfied BEV cost and sampling optimization, while also ensuring an efficient delivery was possible with a low number of arcs. This method of arc selection was evaluated for 16 liver SBRT patients characterized by small and large target volumes. Comparisons were made with a clinical arc template of coplanar arcs. Dosimetric plan quality was evaluated using published guidelines and metrics from RTOG1112. Four of five plan quality metrics for the liver were significantly reduced when planned with optimized noncoplanar arcs. Median (range) reductions of the volumes receiving 10, 18, and 21\u00a0Gy were found of 140.4 (295.8) cc (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.001), 28.2 (230.6) cc (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.002) and 18.5 (155.5) cc (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.04). A significant increase in median (range) dose to the right kidney of 0.2\u00a0\u00b1\u00a00.9\u00a0Gy (<jats:italic>p<\/jats:italic>\u00a0=\u00a00.03) was also found using optimized noncoplanar arcs, which was below the tolerance of 10\u00a0Gy for all cases. The average number of arcs chosen was 4\u00a0\u00b1\u00a01. Optimizing serial and parallel OARs separately during static couch noncoplanar arc selection significantly reduced the dose to the liver during SBRT using a moderate number of arcs.<\/jats:p>","DOI":"10.1002\/acm2.14396","type":"journal-article","created":{"date-parts":[[2024,6,19]],"date-time":"2024-06-19T05:55:51Z","timestamp":1718776551000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Serial and parallel organ\u2010at\u2010risk\u2010specific noncoplanar arc optimization for small versus large target volumes in liver SBRT"],"prefix":"10.1002","volume":"25","author":[{"given":"John","family":"Lincoln","sequence":"first","affiliation":[{"name":"Department of Physics and Atmospheric Science Dalhousie University  Halifax Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lee","family":"MacDonald","sequence":"additional","affiliation":[{"name":"Department of Physics and Atmospheric Science Dalhousie University  Halifax Canada"},{"name":"Department of Radiation Oncology Dalhousie University  Halifax Canada"},{"name":"Department of Medical Physics Nova Scotia Health  Halifax Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucy","family":"Ward","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Dalhousie University  Halifax Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shelly","family":"Johnston","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology Dalhousie University  Halifax Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3173-0949","authenticated-orcid":false,"given":"Alasdair","family":"Syme","sequence":"additional","affiliation":[{"name":"Department of Physics and Atmospheric Science Dalhousie University  Halifax Canada"},{"name":"Department of Radiation Oncology Dalhousie University  Halifax Canada"},{"name":"Department of Medical Physics Nova Scotia Health  Halifax Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5209-8797","authenticated-orcid":false,"given":"Christopher","family":"Thomas","sequence":"additional","affiliation":[{"name":"Department of Physics and Atmospheric Science Dalhousie University  Halifax Canada"},{"name":"Department of Radiation Oncology Dalhousie University  Halifax Canada"},{"name":"Department of Medical Physics Nova Scotia Health  Halifax Canada"},{"name":"Department of Radiology Dalhousie University  Halifax Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,6,18]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1259\/bjr.20180908"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2010.10.016"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2012.09.028"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2013.02.002"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/48\/18\/304"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ac840d"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.2818738"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2018.01.048"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.3390\/cancers13081910"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.prro.2011.12.003"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/acm2.13765"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12008"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13887"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.1118\/1.4917165"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.adro.2015.12.004"},{"key":"e_1_2_10_17_1","doi-asserted-by":"crossref","unstructured":"M\u00f6llerT TrumboreB.Fast minimum storage ray\/triangle intersection. 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