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Osteoradionecrosis

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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 33684314
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...
Female Head and Neck Neoplasms Humans Incidence Machine Learning Male Mandible Middle Aged Osteoradionecrosis Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Sensitivity and Specificity Tomography, X-Ray Computed
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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 38462018
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...
Adult Aged Cluster Analysis Female Head and Neck Neoplasms Humans Male Mandible Mandibular Diseases Middle Aged Organs at Risk Osteoradionecrosis Probability Radiotherapy Dosage Retrospective Studies Risk Assessment Support Vector Machine Unsupervised Machine Learning
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