Article

External validation of a deep-learning mandibular ORN prediction model trained on 3D radiation distribution maps

2023-12-04

Abstract excerpt

<h4>A bstract </h4> <h4>Background and purpose</h4> Mandibular osteoradionecrosis (ORN) is a severe side effect affecting patients undergoing radiation therapy for head and neck cancer. Variations in the bone’s vascularization and composition across the mandible may influence the susceptibility to ORN. Recently, deep learning-based models have been introduced for predicting mandibular ORN using radiation dose dist...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b631ee42-cd77-56db-a4e8-8bf194e731ca
DOI: 10.1101/2023.12.04.23299221

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

External validation of a deep-learning mandibular ORN prediction model trained on 3D radiation distribution mapsDOI 10.1101/2023.12.04.23299221Read

Multi-institutional Normal Tissue Complication Probability (NTCP) Prediction Model for Mandibular Osteoradionecrosis: Results from the PREDMORN StudySemantic proximity Read

SCARF: Auto-Segmentation Clinical Acceptability & Reproducibility Framework for Benchmarking Essential Radiation Therapy Targets in Head and Neck CancerSemantic proximity Read

Mandibular dose-volume predicts time-to-osteoradionecrosis in an actuarial normal-tissue complication probability (NTCP) model: External validation of right-censored clinico-dosimetric and competing risk application across international multi-institutional observational cohorts and online graphical user interface clinical support tool assessmentSemantic proximity Read

DentalSegmentator: robust deep learning-based CBCT image segmentationSemantic proximity Read

Automated Mandibular Canal Segmentation on CBCT using Deep LearningSemantic proximity Read

Accuracy and Generalizability of an Open-Source Deep Learning Model For Facial Bone Segmentation on CT and CBCT ScansSemantic proximity Read

Automatic Segmentation of Ameloblastoma on CT Images using Deep Learning with Limited DataSemantic proximity Read

AutoCBCT: An Automated CBCT Bone Thickness Analysis Using Deep LearningSemantic proximity Read

Deep learning for detection and 3D segmentation of maxillofacial bone lesions in cone beam CTSemantic proximity Read

The Dosimetric Impact of Deep Learning-Based Auto-Segmentation of Organs at Risk on Nasopharyngeal and Rectal CancerSemantic proximity Read

Comparative Analysis of Yolov5 and Yolov8 Deep Learning Models in the Detection and Anatomical Classification of Mandibular FracturesSemantic proximity Read

Clinical Evaluation of a Novel Deep Learning-Based Auto-Segmentation Software: Utility and Potential PitfallsSemantic proximity Read