Data-driven determination and validation of an optimised mid-treatment imaging interval for prostate stereotactic body radiotherapy using real-time intrafraction image records.

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Bibliographic Details
Title: Data-driven determination and validation of an optimised mid-treatment imaging interval for prostate stereotactic body radiotherapy using real-time intrafraction image records.
Authors: Kejda A; Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, Australia. Electronic address: Alannah.Kejda@health.nsw.gov.au., Perez M; Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, Australia., Stewart M; Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, Australia., Hruby G; Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, Australia; Northern Clinical School, University of Sydney, St Leonards, NSW, Australia., Kneebone A; Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, Australia; Northern Clinical School, University of Sydney, St Leonards, NSW, Australia., Eade T; Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, Australia; Northern Clinical School, University of Sydney, St Leonards, NSW, Australia., Booth J; Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, Australia; Institute of Medical Physics, University of Sydney, Camperdown, New South Wales, Australia.
Source: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) [Phys Med] 2026 May; Vol. 145, pp. 105781. Date of Electronic Publication: 2026 Mar 19.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Istituti Editoriali e Poligrafici Internazionali Country of Publication: Italy NLM ID: 9302888 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1724-191X (Electronic) Linking ISSN: 11201797 NLM ISO Abbreviation: Phys Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1724-191X
DOI:10.1016/j.ejmp.2026.105781