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Customizing Treatment Scheduling Windows with a Time Margin Recipe: A Single-institutional Study

PURPOSE: 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. MATERIALS AND METHODS: We utilized van Herk’s safety margin formula to...

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Detalles Bibliográficos
Autores principales: Chauhan, Rohit Singh, Munshi, Anusheel, Pradhan, Anirudh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419746/
https://www.ncbi.nlm.nih.gov/pubmed/37576101
http://dx.doi.org/10.4103/jmp.jmp_113_22
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author Chauhan, Rohit Singh
Munshi, Anusheel
Pradhan, Anirudh
author_facet Chauhan, Rohit Singh
Munshi, Anusheel
Pradhan, Anirudh
author_sort Chauhan, Rohit Singh
collection PubMed
description PURPOSE: 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. MATERIALS AND METHODS: We utilized van Herk’s safety margin formula to determine the radiotherapy department’s treatment scheduling window (TSW). In addition, we examined the influence of in-room imaging on linac occupancy time (LOT). Varian Aria™ software version 15.1 was used to collect retrospective data on LOT, treatment site, intent, techniques, special protocol, and in-room imaging. RESULTS: Treatment scheduling windows varied across treatment sites. The mean TSW using van Herk’s formalism was 31.5 min, significantly longer than the current TSW of 15 min (P = 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. CONCLUSIONS: The time margin recipe can customize the treatment scheduling window and improve treatment practices. This formalism can help manage the radiotherapy department’s workload and reduce patient wait times.
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spelling pubmed-104197462023-08-12 Customizing Treatment Scheduling Windows with a Time Margin Recipe: A Single-institutional Study Chauhan, Rohit Singh Munshi, Anusheel Pradhan, Anirudh J Med Phys Original Article PURPOSE: 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. MATERIALS AND METHODS: We utilized van Herk’s safety margin formula to determine the radiotherapy department’s treatment scheduling window (TSW). In addition, we examined the influence of in-room imaging on linac occupancy time (LOT). Varian Aria™ software version 15.1 was used to collect retrospective data on LOT, treatment site, intent, techniques, special protocol, and in-room imaging. RESULTS: Treatment scheduling windows varied across treatment sites. The mean TSW using van Herk’s formalism was 31.5 min, significantly longer than the current TSW of 15 min (P = 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. CONCLUSIONS: The time margin recipe can customize the treatment scheduling window and improve treatment practices. This formalism can help manage the radiotherapy department’s workload and reduce patient wait times. Wolters Kluwer - Medknow 2023 2023-06-29 /pmc/articles/PMC10419746/ /pubmed/37576101 http://dx.doi.org/10.4103/jmp.jmp_113_22 Text en Copyright: © 2023 Journal of Medical Physics https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Chauhan, Rohit Singh
Munshi, Anusheel
Pradhan, Anirudh
Customizing Treatment Scheduling Windows with a Time Margin Recipe: A Single-institutional Study
title Customizing Treatment Scheduling Windows with a Time Margin Recipe: A Single-institutional Study
title_full Customizing Treatment Scheduling Windows with a Time Margin Recipe: A Single-institutional Study
title_fullStr Customizing Treatment Scheduling Windows with a Time Margin Recipe: A Single-institutional Study
title_full_unstemmed Customizing Treatment Scheduling Windows with a Time Margin Recipe: A Single-institutional Study
title_short Customizing Treatment Scheduling Windows with a Time Margin Recipe: A Single-institutional Study
title_sort customizing treatment scheduling windows with a time margin recipe: a single-institutional study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10419746/
https://www.ncbi.nlm.nih.gov/pubmed/37576101
http://dx.doi.org/10.4103/jmp.jmp_113_22
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