AIMC Topic: Osteoradionecrosis

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Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification.

International journal of radiation oncology, biology, physics Mar 10, 2024
PURPOSE: Given the limitations of extant models for normal tissue complication probability estimation for osteoradionecrosis (ORN) of the mandible, the purpose of this study was to enrich statistical inference by exploiting structural properties of d...
Humans Retrospective Studies Female Aged Adult Male Middle Aged Risk Assessment Mandible Head and Neck Neoplasms Support Vector Machine Cluster Analysis Unsupervised Machine Learning Organs at Risk Probability Radiotherapy Dosage Osteoradionecrosis Mandibular Diseases
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Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancer.

The British journal of radiology Mar 18, 2021
OBJECTIVES: Mandible osteoradionecrosis (ORN) is one of the most severe toxicities in patients with head and neck cancer (HNC) undergoing radiotherapy (RT). The existing literature focuses on the correlation of mandible ORN and clinical and dosimetri...
Humans Machine Learning Tomography, X-Ray Computed Female Reproducibility of Results Sensitivity and Specificity Male Middle Aged Incidence Mandible Head and Neck Neoplasms Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Osteoradionecrosis
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