Press Release

Accepted Abstracts at ESTRO 2026

April 15, 2026

TheraPanacea is proud to contribute to ESTRO 2026 with 16 accepted abstracts developed in collaboration with leading academic and clinical partners across Europe and the United States.

Featured Abstracts

Five of this year's accepted abstracts have been summarized in an easy-to-read overview. Download the Featured Abstracts PDF

All Accepted Abstracts

Auto-Segmentation & Delineation

Multicentric comparative analysis of commercial deep learning-based auto-contouring solutions for head and neck organs-at-risk   Included in the Featured Abstract Summary

Authors: M. Westermayer, N. Delaby, A. Sottiaux, S. Kara Mohammed, MC. Biston, C. Khamphan, S. Huger, S. Chiavassa, I. Bessieres, I. Achag, M. Stadler, S. Farzam, C. Millardet-Martin, T. Lacornerie, C. Fontbonne, JM Fontbonne, L. Madec, R. Castanet, A. Coutte, J. Biau, Y. Pointreau, A.A. Serre, J. Castelli, A. Barateau, A. Badey

Performance evaluation of an AI-driven auto-segmentation tool for MR-based cervical cancer brachytherapy planning  Included in the Featured Abstract Summary

Authors: E. Limkin, T. Kevin, S. Espenel, I. Dumas, I. Chaffai-Nouri, A. Iancu, A.-A. Serre, F. Gassa, T. Theodoridis, S. Romdhani, L. Macke, M.-L. Costea, N. Paragios, C. Robert

Imaging & Registration

Quantitative MRI-based characterization of gravity-induced pelvic soft-tissue deformation for upright radiotherapy

Authors: L. Vegeas, V. Lepetit, N. Schroeder, T. Underwood, N. Paragios, E. Deutsch, V. Grégoire

Comparison between planning MRI and contrast-enhanced CT for GTV delineation in head and neck carcinoma

Authors: A. Brezae, N. Paragios, E. Deutsch, P. Balermpas, C. Bouyer, R. Dal Bello, P. Kuess, A. Maury, F. Pilleul, G. Plavc, M. Scricciolo, V. Grégoire

Adaptive Radiotherapy (CBCT → Synthetic CT)

Diffusion-based synthetic CT generation from CBCT for breast radiotherapy

Authors: L. Colombo, A. Duran, Q. Spinat, P. Olléon, S. Romdhani, N. Paragios, P. Maury, P. Fenoglietto

Diffusion-based synthetic CT generation from CBCT for pelvis (male) radiotherapy

Authors: L. Colombo, A. Duran, Q. Spinat, P. Olléon, S. Romdhani, O. Teboul, N. Paragios, P. Fenoglietto, M. Westermayer, M.-C. Biston

Diffusion-based synthetic CT generation from CBCT for thoracic radiotherapy

Authors: L. Colombo, A. Duran, Q. Spinat, P. Olléon, O. Teboul, N. Paragios, P. Maury, P. Fenoglietto

Diffusion-based synthetic CT generation from CBCT for head and neck radiotherapy

Authors: L. Colombo, A. Duran, Q. Spinat, P. Olléon, S. Romdhani, N. Paragios, P. Maury, P. Fenoglietto

Automated Treatment Planning (SmartPlan)

Automated VMAT planning for ultra-hypofractionated prostate radiotherapy: Included in the Featured Abstract Summary

Authors: P. Maury, W. Green, R. McBeth, E. Ozyar, G. Gungor, M.-L. Costea, B. Ungun, R. Vauclin, E. Mengin, N. Paragios, M. Terlizzi

Clinical validation of AI prostate SBRT plans and generalization across dose regimens: Included in the Featured Abstract Summary

Authors: N. J. Lee, A. Zhao, L. Wang, S. Philbrook, W. Green, M.-L. Costea, B. Ungun, R. Vauclin, E. Mengin, N. Paragios, R. McBeth

Automated VMAT planning for prostate radiotherapy on Halcyon systems: Included in the Featured Abstract Summary

Authors: G. Gungor, A.-M. Gardareanu, M.-L. Costea, B. Ungun, R. Vauclin, E. Mengin, N. Paragios, G. Moliner

Automated VMAT planning for breast cancer radiotherapy

Authors: P. Maury, A.-M. Gardareanu, P. Fenoglietto, G. Gungor, M.-L. Costea, B. Ungun, R. Vauclin, E. Mengin, N. Paragios, W. Waisse

Automated VMAT planning for oropharyngeal head and neck radiotherapy

Authors: F. Gassa, A. Chardon, P. Fenoglietto, G. Gungor, A.-M. Gardareanu, M.-L. Costea, B. Ungun, R. Vauclin, E. Mengin, N. Paragios, M.-C. Biston

Foundational Models & Advanced Planning

FoDoM-RT: A foundational model for dose representation in head and neck radiotherapy

Authors: J. Boyer-Chammard, M. Costea, P. Maury, C. Robert, M.-C. Biston, N. Komodakis, N. Paragios, E. Deutsch, V. Grégoire

End-to-end head and neck VMAT planning using deep learning–based diffusion and 3D optimization frameworks

Authors: J. Boyer-Chammard, R. Vauclin, E. Mengin, B. Ungun, M. Costea, A. Brezae, R. Sun, P. Maury, C. Robert, M.-C. Biston, N. Komodakis, N. Paragios, E. Deutsch, V. Grégoire

AI-Driven Risk Prediction & Patient Communication

PRE-ACT-01: an international, multicenter, randomized study on communicating a personalized AI-based lymphedema risk to breast cancer patients

Authors: M. Bergeaud, T. Rattay, K. Verhoeven, A. Lamrani-Ghaouti, C. Gaudin, G. Bologna, G. Cortellessa, A. Dekker, F. Fracasso, M. Joore, I. Koutsopoulos, Y. Liang, A. Panisson, A. Perotti, B. Ramaekers, C. Roumen, J. van Soest, H. Stobart, C. J. Talbot, A. Webb, A. Bombezin-Domino, R. Ghodssighassemabadi, S. Michiels, S. Rivera