Explanipedia

Correction: Artificial intelligence contouring in radiotherapy for organs-at-risk and lymph node areas Open

Céline Meyer, S. Huger, Marie Bruand, Thomas Leroy, Jérémy Palisson , et al. · 2025

International audience

Artificial intelligence contouring in radiotherapy for organs-at-risk and lymph node areas Open

Céline Meyer, S. Huger, Marie Bruand, Thomas Leroy, Jérémy Palisson , et al. · 2024

CNIL-MR0004 Number HDH434.

Artificial Intelligence contouring in radiotherapy for organs-at-risk and lymph node areas Open

Céline Meyer, S. Huger, Marie Bruand, Thomas Leroy, Jérémy Palisson , et al. · 2024

Introduction: The delineation of organs-at-risk and lymph node areas is a crucial step in radiotherapy, but it is time-consuming and associated with substantial user-dependent variability in contouring. Artificial intelligence (AI) appears…

Radiation-induced lung injury after breast cancer treatment: incidence in the CANTO-RT cohort and associated clinical and dosimetric risk factors Open

Anna Gueiderikh, Thomas Sarrade, Youlia Kirova, Brigitte De La Lande, Florent de Vathaire , et al. · 2023

Purpose Radiation-induced lung injury (RILI) is strongly associated with various clinical conditions and dosimetric parameters. Former studies have led to reducing radiotherapy (RT) doses to the lung and have favored the discontinuation of…

CANTO-RT: One of the Largest Prospective Multicenter Cohort of Early Breast Cancer Patients Treated with Radiotherapy including Full DICOM RT Data Open

Thomas Sarrade, Rodrigue S. Allodji, Youssef Ghannam, Guillaume Auzac, Sibille Everhard , et al. · 2023

This article describes the methodology used and provides a characterization of the study population in CANTO-RT (CANcer TOxicities RadioTherapy). CANTO (NCT01993498) is a prospective clinical cohort study including patients with stage I-II…

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