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Xerostomia

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Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective.

International journal of radiation oncology, biology, physics 26581149
Radiation oncology has always been deeply rooted in modeling, from the early days of isoeffect curves to the contemporary Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) initiative. In recent years, medical modeling for both pr...
Artificial Intelligence Esophagitis Humans Logistic Models Lung Neoplasms Machine Learning Models, Statistical Neural Networks, Computer Prognosis Radiation Oncology Radiation Pneumonitis Radiotherapy Radiotherapy Dosage Reproducibility of Results Support Vector Machine Treatment Outcome Xerostomia
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Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification.

Artificial intelligence in medicine 28325604
MOTIVATION: Patients under radiotherapy for head-and-neck cancer often suffer of long-term xerostomia, and/or consistent shrinkage of parotid glands. In order to avoid these drawbacks, adaptive therapy can be planned for patients at risk, if the pred...
Bayes Theorem Cranial Irradiation Early Diagnosis Fuzzy Logic Head and Neck Neoplasms Humans Machine Learning Parotid Gland Predictive Value of Tests Radiation Exposure Radiation Injuries Radiographic Image Interpretation, Computer-Assisted Radiotherapy Dosage Risk Factors Time Factors Tomography, X-Ray Computed Xerostomia
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A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial.

International journal of radiation oncology, biology, physics 31201897
PURPOSE: Xerostomia commonly occurs in patients who undergo head and neck radiation therapy and can seriously affect patients' quality of life. In this study, we developed a xerostomia prediction model with radiation treatment data using a 3-dimensio...
Area Under Curve Deep Learning Humans Hypopharyngeal Neoplasms Laryngeal Neoplasms Logistic Models Oropharyngeal Neoplasms Parotid Gland Pharyngeal Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy, Conformal Radiotherapy, Image-Guided Retrospective Studies ROC Curve Squamous Cell Carcinoma of Head and Neck Submandibular Gland Tomography, X-Ray Computed Xerostomia
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Technical note: Evaluation of deep learning based synthetic CTs clinical readiness for dose and NTCP driven head and neck adaptive proton therapy.

Medical physics 37831597
BACKGROUND: Adaptive proton therapy workflows rely on accurate imaging throughout the treatment course. Our centre currently utilizes weekly repeat CTs (rCTs) for treatment monitoring and plan adaptations. However, deep learning-based methods have re...
Cone-Beam Computed Tomography Deep Learning Deglutition Disorders Head and Neck Neoplasms Humans Proton Therapy Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Xerostomia
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Prediction of xerostomia in elderly based on clinical characteristics and salivary flow rate with machine learning.

Scientific reports 38341514
Xerostomia may be accompanied by changes in salivary flow rate and the incidence increases in elderly. We aimed to use machine learning algorithms, to identify significant predictors for the presence of xerostomia. This study is the first to predict ...
Aged Artificial Intelligence Cross-Sectional Studies Humans Machine Learning Saliva Xerostomia
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Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer.

International journal of radiation oncology, biology, physics 39147208
PURPOSE: Conventional normal tissue complication probability (NTCP) models for patients with head and neck cancer are typically based on single-value variables, which, for radiation-induced xerostomia, are baseline xerostomia and mean salivary gland ...
Adult Aged Aged, 80 and over Deep Learning Female Head and Neck Neoplasms Humans Male Middle Aged Organs at Risk Probability Radiation Injuries Radiotherapy Dosage Salivary Glands Tomography, X-Ray Computed Xerostomia
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Evaluation of machine learning models for predicting xerostomia in adults with head and neck cancer during proton and heavy ion radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 39798700
BACKGROUND AND PURPOSE: Few studies have examined the factors associated with xerostomia during proton and carbon ion radiotherapy for head and neck cancer (HNC), which are reported to have fewer toxic effects compared to traditional photon-based rad...
Adolescent Adult Aged Aged, 80 and over Female Head and Neck Neoplasms Heavy Ion Radiotherapy Humans Machine Learning Male Middle Aged Proton Therapy Retrospective Studies Xerostomia Young Adult
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A comparison of different machine learning classifiers in predicting xerostomia and sticky saliva due to head and neck radiotherapy using a multi-objective, multimodal radiomics model.

Biomedical physics & engineering express 39879644
. Although radiotherapy techniques are a primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity and side effects. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on featu...
Adult Aged Bayes Theorem Female Head and Neck Neoplasms Humans Machine Learning Magnetic Resonance Imaging Male Middle Aged Radiomics Saliva Support Vector Machine Tomography, X-Ray Computed Xerostomia
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