An International Inter-Consortium Validation of Knowledge-Based Plan Prediction Modeling for Whole Breast Radiotherapy Treatment

Placidi, L; Griffin, P; Castriconi, R; Tudda, A; Benecchi, G; Burns, M; Cagni, E; Markham, C; Landoni, V; Moretti, E; Oliviero, C; Guidasci, GR; Meffe, G; Rancati, T; Scaggion, A; McGoldrick, K; Panettieri, V; Fiorino, C

Author(s): Placidi, L; Griffin, P; Castriconi, R; Tudda, A; Benecchi, G; Burns, M; Cagni, E; Markham, C; Landoni, V; Moretti, E; Oliviero, C; Guidasci, GR; Meffe, G; Rancati, T; Scaggion, A; McGoldrick, K; Panettieri, V; Fiorino, C;
Details: Publication Year 2025-11-05,Volume 17,Issue #21,Page 3576
Journal Title: Cancers
Publication Type: Research article
Abstract: BACKGROUND: Knowledge-based (KB) planning is a promising approach to model prior planning experience and optimize radiotherapy. To enable the sharing of models across institutions, their transferability must be evaluated. This study aimed to validate KB prediction models developed by a national consortium using data from another multi-institutional consortium in a different country. METHODS: Ten right whole breast tangential field (RWB-TF) models were built within the national consortium. A cohort of 20 patients from the external consortium was used for testing. Transferability was defined when the ipsilateral (IPSI) lung first principal component (PC1) was within the 10th-90th percentile of the training set. Predicted dose-volume parameters were compared with clinical dose-volume histograms (cDVHs). RESULTS: Planning target volume (PTV) coverage strategies were comparable between the two consortia, even though significant volume differences were observed for the PTV and contralateral breast (p = 0.002 and p = 0.02, respectively). For the IPSI lung, the standard deviation of predicted mean dose/V20 Gy was 1.13 Gy/2.9% in the external consortium versus 0.55 Gy/1.6% in the training consortium. Differences between the cDVH and the predicted IPSI lung mean dose and the volume receiving more than 20 Gy (V20 Gy) were <2 Gy and <5% in 88.7% and 92.3% of cases, respectively. PC1 values fell within the 10th-90th percentile for ≥90% of patients in 6/10 models and 65-85% for the remaining 4. CONCLUSIONS: This study demonstrates the feasibility of applying RWB-TF KB models beyond the consortium in which they were developed, supporting broader clinical implementation. This retrospective study was supported by AIRC (Associazione Italiana per la Ricerca sul Cancro) and registered on ClinicalTrials.gov (NCT06317948, 12 March 2024).
Publisher: MDPI
Keywords: international consortia; knowledge-based plan prediction; models’ transferability; whole-breast radiotherapy
Department(s): Radiation Therapy; Physical Sciences
Publisher's Version: https://doi.org/10.3390/cancers17213576
Open Access at Publisher's Site: https://doi.org/10.3390/cancers17213576
Terms of Use/Rights Notice: Refer to copyright notice on published article.

Creation Date: 2026-01-08 04:40:51

Last Modified: 2026-01-08 04:41:02