{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T15:52:40Z","timestamp":1789746760685,"version":"4.0.1"},"reference-count":23,"publisher":"Oxford University Press (OUP)","issue":"1158","license":[{"start":{"date-parts":[[2024,4,17]],"date-time":"2024-04-17T00:00:00Z","timestamp":1713312000000},"content-version":"vor","delay-in-days":1,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,29]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>To determine if Limbus, an artificial intelligence (AI) auto-contouring software, can offer meaningful time savings for prostate radiotherapy treatment planning.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Three clinical oncologists recorded the time taken to contour prostate and seminal vesicles, lymph nodes, bladder, rectum, bowel, and femoral heads on CT scans for 30 prostate patients (15 prostate, 15 prostate and nodes). Limbus 1.6.0 was used to generate these contours on the 30 CT scans. The time taken by the oncologists to modify individual Limbus contours was noted and compared with manual contouring times. The geometric similarity of Limbus and expert contours was assessed using the Dice Similarity Coefficient (DSC), and the dosimetric impact of using un-edited Limbus organs at risk contours was studied.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Limbus reduced the time to produce clinically acceptable contours by 26\u2009minutes for prostate and nodes patients and by 13\u2009minutes for the prostate only patients. DSC values of greater than 0.7 were calculated for all contours, demonstrating good initial agreement. A dosimetric study showed that 5 of the 20 plans optimized using unmodified AI structures required unnecessary compromise of PTV coverage, highlighting the importance of expert review.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Limbus offers significant time saving and has become an essential part of our clinical practice.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Advances in knowledge<\/jats:title>\n                  <jats:p>This article is the first to include bowel and lymph nodes when assessing potential time savings using Limbus software. It demonstrates that Limbus can be used as an aid for prostate and node radiotherapy treatment planning.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bjr\/tqae077","type":"journal-article","created":{"date-parts":[[2024,4,17]],"date-time":"2024-04-17T02:53:19Z","timestamp":1713322399000},"page":"1125-1131","source":"Crossref","is-referenced-by-count":12,"title":["Clinical evaluation of the efficacy of limbus artificial intelligence software to augment contouring for prostate and nodes radiotherapy"],"prefix":"10.1093","volume":"97","author":[{"given":"Alison","family":"Starke","sequence":"first","affiliation":[{"name":"Radiotherapy Physics, St Bartholomew\u2019s Hospital , London EC1A 7BE, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jacqueline","family":"Poxon","sequence":"additional","affiliation":[{"name":"Radiotherapy Physics, St Bartholomew\u2019s Hospital , London EC1A 7BE, United 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