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Pharyngeal Muscles

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Evaluation of a knowledge-based planning solution for head and neck cancer.

International journal of radiation oncology, biology, physics 25680603
PURPOSE: Automated and knowledge-based planning techniques aim to reduce variations in plan quality. RapidPlan uses a library consisting of different patient plans to make a model that can predict achievable dose-volume histograms (DVHs) for new pati...
Benchmarking Head and Neck Neoplasms Humans Knowledge Bases Male Mouth Organ Sparing Treatments Organs at Risk Pharyngeal Muscles Radiation Injuries Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Salivary Glands
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Deep Learning-Based Delineation of Head and Neck Organs at Risk: Geometric and Dosimetric Evaluation.

International journal of radiation oncology, biology, physics 30836167
PURPOSE: Organ-at-risk (OAR) delineation is a key step in treatment planning but can be time consuming, resource intensive, subject to variability, and dependent on anatomical knowledge. We studied deep learning (DL) for automated delineation of mult...
Benchmarking Brain Stem Deep Learning Esophageal Sphincter, Upper Esophagus Head and Neck Neoplasms Humans Larynx Mouth Organs at Risk Parotid Gland Pharyngeal Muscles Radiotherapy Planning, Computer-Assisted Submandibular Gland
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