{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T20:19:58Z","timestamp":1787775598129,"version":"build-2784847793"},"reference-count":38,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"2","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,4]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose:<\/jats:title>\n                    <jats:p>Rising cancer incidences, complex treatment techniques, and workflows have all impacted the radiotherapy scheduling process. Intelligent appointment scheduling is needed to help radiotherapy users adapt to new practices.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods:<\/jats:title>\n                    <jats:p>We utilized van Herk\u2019s safety margin formula to determine the radiotherapy department\u2019s treatment scheduling window (TSW). In addition, we examined the influence of in-room imaging on linac occupancy time (LOT). Varian Aria\u2122 software version 15.1 was used to collect retrospective data on LOT, treatment site, intent, techniques, special protocol, and in-room imaging.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>\n                      Treatment scheduling windows varied across treatment sites. The mean TSW using van Herk\u2019s formalism was 31.5 min, significantly longer than the current TSW of 15 min (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = 0.036), with the pelvic site having the longest (43.8 min) and the brain site having the shortest (12 min). 28% of patients exceeded the in-practice TSW of 15 min. 46.2% of patients had multiple images per fraction, with the proportion being highest in pelvic patients (33%). Patients treated with palliative intent, intensity-modulated radiotherapy, special protocols (bladder protocol and gating), and multiple in-room images per fraction had significantly higher LOT. High treatment time uncertainty was observed in the pelvic and thorax sites, indicating the impact of in-room imaging frequency and on-couch treatment decisions on overall treatment time and indicating that current treatment practices should be reviewed and modified if necessary.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>The time margin recipe can customize the treatment scheduling window and improve treatment practices. This formalism can help manage the radiotherapy department\u2019s workload and reduce patient wait times.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.4103\/jmp.jmp_113_22","type":"journal-article","created":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T18:40:29Z","timestamp":1725648029000},"page":"181-188","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":1,"title":["Customizing Treatment Scheduling Windows with a Time Margin Recipe: A Single-institutional Study"],"prefix":"10.4103","volume":"48","author":[{"given":"Rohit Singh","family":"Chauhan","sequence":"first","affiliation":[{"name":"Department of Physics, GLA University, Mathura, Uttar Pradesh, India"},{"name":"Department of Radiation Oncology, Manipal Hospitals, Dwarka, New Delhi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anusheel","family":"Munshi","sequence":"additional","affiliation":[{"name":"Department of Radiation 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