AIMC Topic: Radiometry

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A novel deep learning model using dosimetric and clinical information for grade 4 radiotherapy-induced lymphopenia prediction.

Physics in medicine and biology Feb 4, 2020
Radiotherapy-induced lymphopenia has increasingly been shown to reduce cancer survivorship. We developed a novel hybrid deep learning model to efficiently integrate an entire set of dosimetric parameters of a radiation treatment plan with a patient's...
Humans Deep Learning Radiation Injuries Radiometry Lymphopenia Models, Statistical Esophageal Neoplasms Radiotherapy
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Feasibility of two-dimensional dose distribution deconvolution using convolution neural networks.

Medical physics Nov 6, 2019
PURPOSE: The purpose of this study was to investigate the feasibility of two-dimensional (2D) dose distribution deconvolution using convolutional neural networks (CNNs) instead of an analytical approach for an in-house scintillation detector that has...
Humans Neural Networks, Computer Feasibility Studies Radiotherapy Planning, Computer-Assisted Radiometry Radiation Dosage Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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Radiomics in stratification of pancreatic cystic lesions: Machine learning in action.

Cancer letters Oct 17, 2019
Pancreatic cystic lesions (PCLs) are well-known precursors of pancreatic cancer. Their diagnosis can be challenging as their behavior varies from benign to malignant disease. Precise and timely management of malignant pancreatic cysts might prevent t...
Humans Artificial Intelligence Machine Learning Radiometry Pancreatic Cyst Pancreatic Neoplasms Pancreas Precision Medicine Precancerous Conditions Prognosis Support Vector Machine
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Predicting gamma passing rates for portal dosimetry-based IMRT QA using machine learning.

Medical physics Aug 27, 2019
PURPOSE: Intensity-modulated radiation therapy (IMRT) quality assurance (QA) measurements are routinely performed prior to treatment delivery to verify dose calculation and delivery accuracy. In this work, we applied a machine learning-based approach...
Radiotherapy Planning, Computer-Assisted Calibration Radiotherapy, Intensity-Modulated Machine Learning Quality Control Radiometry Gamma Rays Uncertainty
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Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer.

Medical physics Jul 12, 2019
PURPOSE: To develop and validate a robust and accurate registration pipeline for automatic contour propagation for online adaptive Intensity-Modulated Proton Therapy (IMPT) of prostate cancer using elastix software and deep learning.
Radiometry Deep Learning Image Processing, Computer-Assisted Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Proton Therapy Humans Male
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Prediction of dosimetric accuracy for VMAT plans using plan complexity parameters via machine learning.

Medical physics Jul 9, 2019
PURPOSE: The dosimetric accuracies of volumetric modulated arc therapy (VMAT) plans were predicted using plan complexity parameters via machine learning.
Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Machine Learning Radiometry Regression Analysis
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Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network.

Medical physics Jul 9, 2019
PURPOSE: To develop and evaluate a patch-based convolutional neural network (CNN) to generate synthetic computed tomography (sCT) images for magnetic resonance (MR)-only workflow for radiotherapy of head and neck tumors. A patch-based deep learning m...
Radiometry Radiotherapy Planning, Computer-Assisted Humans Radiotherapy Dosage Neural Networks, Computer Radiotherapy, Intensity-Modulated Tomography, X-Ray Computed Image Processing, Computer-Assisted Head and Neck Neoplasms Magnetic Resonance Imaging
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Estimation of the radiation dose in pregnancy: an automated patient-specific model using convolutional neural networks.

European radiology Jun 21, 2019
OBJECTIVES: The conceptus dose during diagnostic imaging procedures for pregnant patients raises health concerns owing to the high radiosensitivity of the developing embryo/fetus. The aim of this work is to develop a methodology for automated constru...
Radiography, Abdominal Neural Networks, Computer Monte Carlo Method Computer Simulation Phantoms, Imaging Pregnancy Adult Tomography, X-Ray Computed Radiometry Female Humans Middle Aged Young Adult Radiation Dosage
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Incorporating dosimetric features into the prediction of 3D VMAT dose distributions using deep convolutional neural network.

Physics in medicine and biology Jun 20, 2019
An accurate prediction of achievable dose distribution on a patient specific basis would greatly improve IMRT/VMAT planning in both efficiency and quality. Recently machine learning techniques have been proposed for IMRT dose prediction based on pati...
Male Prostatic Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Neural Networks, Computer Radiometry
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Prediction of response after chemoradiation for esophageal cancer using a combination of dosimetry and CT radiomics.

European radiology Apr 26, 2019
PURPOSE: To investigate the treatment response prediction feasibility and accuracy of an integrated model combining computed tomography (CT) radiomic features and dosimetric parameters for patients with esophageal cancer (EC) who underwent concurrent...
Chemoradiotherapy Radiometry Aged Aged, 80 and over Male Middle Aged Humans Tomography, X-Ray Computed Machine Learning Female ROC Curve Carcinoma, Squamous Cell Esophageal Neoplasms
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