AIMC Topic: In Vivo Dosimetry

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Deep learning-based tools to distinguish plan-specific from generic deviations in EPID-based in vivo dosimetry.

Medical physics Dec 19, 2023
BACKGROUND: Dose distributions calculated with electronic portal imaging device (EPID)-based in vivo dosimetry (EIVD) differ from planned dose distributions due to generic and plan-specific deviations. Generic deviations are characteristic to a class...
Humans Male Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiometry In Vivo Dosimetry
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Prediction of skin dose in low-kV intraoperative radiotherapy using machine learning models trained on results of in vivo dosimetry.

Medical physics Jan 25, 2019
PURPOSE: The purpose of this study was to implement a machine learning model to predict skin dose from targeted intraoperative (TARGIT) treatment resulting in timely adoption of strategies to limit excessive skin dose.
Humans Neural Networks, Computer Machine Learning Female Aged Aged, 80 and over Adult Breast Neoplasms Middle Aged Models, Statistical Skin Organs at Risk Radiotherapy Dosage Intraoperative Care Mastectomy, Segmental In Vivo Dosimetry
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Predictive time-series modeling using artificial neural networks for Linac beam symmetry: an empirical study.

Annals of the New York Academy of Sciences Sep 14, 2016
Over half of cancer patients receive radiotherapy (RT) as partial or full cancer treatment. Daily quality assurance (QA) of RT in cancer treatment closely monitors the performance of the medical linear accelerator (Linac) and is critical for continuo...
Humans Neural Networks, Computer Machine Learning Forecasting Databases, Factual Reproducibility of Results Neoplasms Computational Biology Longitudinal Studies Regression Analysis Bayes Theorem Kinetics Models, Biological Quality Assurance, Health Care Radiosurgery Empirical Research In Vivo Dosimetry
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