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

  • C Fiandra
  • , S Zara
  • , V Richetto
  • , L Rossi
  • , M C Leonardi
  • , P Ferrari
  • , M Marrocco
  • , E Gino
  • , S Cora
  • , G Loi
  • , F Rosica
  • , S Ren Kaiser
  • , E Verdolino
  • , L Strigari
  • , N Romeo
  • , L Placidi
  • , S Comi
  • , G De Otto
  • , A Roggio
  • , A Di Dio
  • L Reversi, E Pierpaoli, E Infusino, E Coeli, T Licciardello, A Ciarmatori, R Caivano, A Poggiu, N Ciscognetti, U Ricardi, B Heijmen
  • Tecnologie Avanzate
  • Medical Physics Unit
  • University Medical Center Rotterdam
  • IEO European Institute of Experimental Oncology IRCCS
  • Provincial Hospital of Bolzano (SABES-ASDAA)
  • Campus Biomedico University
  • SC Fisica Sanitaria AO Ordine Mauriziano di Torino
  • U.O.C. Fisica Sanitaria
  • University Maggiore Hospital Della Carità
  • S.C. Fisica Sanitaria
  • Ospedale S. G. MOSCATI
  • Department of Physiology and Medical Physics
  • UOC Radioterapia. Azienda Sanitaria Provinciale di Messina. Ospedale "San Vincenzo"
  • Istituto Tumori Milano + Fondazione Policlinico Universitario A Gemelli IRCCS
  • European Institute of Oncology IRCCS
  • S.C. Fisica Sanitaria Firenze-Empoli Azienda USL Toscana Centro
  • Veneto Institute of Oncology IOV-IRCCS
  • Ospedali Riuniti di Ancona - Medical Physics Department
  • UOC Fisica Sanitaria
  • Medical Physics Dept IRCCS Regina Elena National Cancer Institute
  • Legnago (VR)
  • SC Fisica Sanitaria
  • UOC Fisica Medica e Alte Tecnologie
  • UOC di Radioterapia Oncologica e Fisica Sanitaria
  • SSD Fisica Sanitaria AOU Sassari
  • SSD fisica sanitaria

Research output: Contribution to journal › Original Article › peer-review

Abstract

PURPOSE: 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.

METHODS: 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.

RESULTS: Target dosimetry showed comparability, while reductions in OAR dose parameters were 21.4 % for heart Dmean, 16.7 % for ipsilateral lung Dmean, and 101.9 %, 45.5 %, and 35.7 % for contralateral breast D0.03cc, D5% and Dmean, respectively (all p < 0.001). Among the 240 patients included, the clinicians preferred the autoplan for 119 patients, with manplans preferred for 96 cases (p = 0.01). Per centre there were on average 5.0 ± 2.9 (1SD) patients with a preferred autoplan (range [0-10]), compared to 4.0 ± 2.7 with a preferred manplan ([0,9]). No differences were observed regarding deliverability.

CONCLUSION: 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.

Original languageEnglish
Pages (from-to)103394
JournalPhysica Medica: European Journal of Medical Physics
Volume123
DOIs
Publication statusPublished - Jul 2024

Keywords

  • Radiotherapy Planning, Computer-Assisted/methods
  • Humans
  • Breast Neoplasms/radiotherapy
  • Automation
  • Radiotherapy, Intensity-Modulated/methods
  • Organs at Risk/radiation effects
  • Radiotherapy Dosage
  • Female
  • Radiometry

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