Abstract
Deep-inspiration breath-hold (DIBH) reduces cardiac exposure in left-breast radiotherapy, but its anatomical benefit varies substantially between patients. We evaluated whether patient-informed 4D Extended Cardiac-Torso (XCAT) phantoms could accurately reproduce clinical free-breathing (FB) and DIBH organ-volume distributions. For sixteen patients with paired FB/DIBH CT scans and valid respiratory traces, patient-specific XCAT phantoms were generated by matching clinical breast, lung, and heart volumes. Respiratory traces were then used to parameterise thoracic expansion and generate the corresponding DIBH configuration. Agreement was assessed using patient-level errors and bootstrap resamples. Mean absolute percentage errors (MAPE) were 0.17%, 0.72%, and 0.11% for FB breast, lung, and heart volumes, and 0.22%, 3.61%, and 1.74% for DIBH scans. Mean clinical and XCAT left-lung expansions were 828.6 and 852.6 cm³, respectively. These findings support the feasibility of patient-informed XCAT modelling for controlled FB/DIBH population studies, while spatial and dosimetric validation remain necessary.
Links to Paper and Supplementary Materials
Main Paper (Open Access Version): https://papers.miccai.org/miccai-2026-sat/paper/MIART_033.pdf
SharedIt Link: Not yet available
SpringerLink (DOI): Not yet available
Supplementary Material: Not Submitted
Link to Open Review
Open Review Page: Not Available
BibTex
@InProceedings{CarMar_PatientInformed_MICCAISAT2026,
author = { Carnevale, Maria Grazia AND Vrbaski, Stevan AND Cavallo, Anna AND Giandini, Carlotta AND Cicchetti, Alessandro AND De Santis, Maria Carmen},
title = { { Patient-Informed XCAT Modelling of Free Breathing and Deep-Inspiration Breath Hold Anatomy: A Feasibility Study } },
booktitle = {Medical Image Computing and Computer Assisted Intervention -- MICCAI 2026 Workshops and Challenges},
year = {2026},
publisher = {Springer Nature Switzerland},
volume = {LNCS 17274},
month = {pending},
page = {pending}
}