Multi-centre real-world validation of automated treatment planning for breast radiotherapy.

To present the results of the first multi-centre real-world validation of autoplanning for whole breast irradiation after breast-sparing surgery, encompassing high complexity cases (e.g. with a boost or regional lymph nodes) and a wide range of clinical practices. The 24 participating centers each included 10 IMRT/VMAT/Tomotherapy patients, previously treated with a manually generated plan ('manplan'). There were no restrictions regarding case complexity, planning aims, plan evaluation parameters and criteria, fractionation, treatment planning system or treatment machine/technique. In addition to dosimetric comparisons of autoplans with manplans, blinded plan scoring/ranking was conducted by a clinician from the treating center. Autoplanning was performed using a single configuration for all patients in all centres. Deliverability was verified through measurements at delivery units. Target dosimetry showed comparability, while reductions in OAR dose parameters were 21.4 % for heart D The automation significantly reduced the hands-on planning workload compared to manual planning, while also achieving an overall superiority. However, fine-tuning of the autoplanning configuration prior to clinical implementation may be necessary in some centres to enhance clinicians' satisfaction with the generated autoplans.

Informations de copyright

Copyright © 2024 Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: (1) All authors have participated in (a) conception and design, or analysis and interpretation of the data; (b) drafting the article or revising it critically for important intellectual content; and (c) approval of the final version. (2) This manuscript has not been submitted to, nor is under review at, another journal or other publishing venue. (3) Stefania Zara is employees of the company “Tecnologie Avanzate TA Srl” that distributes the software RayStation in Italy; this company supports the group in terms of collecting data. Data were analyzed objectively and independently from the vendor; (4) Remaining authors have no affiliation with any organization with a direct or indirect financial interest in the subject matter discussed in the manuscript.