AI Medical Compendium Topic:
Radiotherapy Planning, Computer-Assisted

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A preliminary study of using a deep convolution neural network to generate synthesized CT images based on CBCT for adaptive radiotherapy of nasopharyngeal carcinoma.

Physics in medicine and biology Jul 16, 2019
This study aims to utilize a deep convolutional neural network (DCNN) for synthesized CT image generation based on cone-beam CT (CBCT) and to apply the images to dose calculations for nasopharyngeal carcinoma (NPC). An encoder-decoder 2D U-Net neural...
Humans Neural Networks, Computer Spiral Cone-Beam Computed Tomography Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Algorithms Nasopharyngeal Neoplasms Cone-Beam Computed Tomography Image Processing, Computer-Assisted
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MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method.

Physics in medicine and biology Jul 16, 2019
Magnetic resonance imaging (MRI) has been widely used in combination with computed tomography (CT) radiation therapy because MRI improves the accuracy and reliability of target delineation due to its superior soft tissue contrast over CT. The MRI-onl...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiography, Abdominal Carcinoma, Hepatocellular Image Processing, Computer-Assisted Magnetic Resonance Imaging Tomography, X-Ray Computed Humans Reproducibility of Results Retrospective Studies Deep Learning Liver Neoplasms
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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.
Humans Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Proton Therapy Radiometry Male Deep Learning Image Processing, Computer-Assisted Prostatic Neoplasms
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Deep learning derived tumor infiltration maps for personalized target definition in Glioblastoma radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jul 11, 2019
PURPOSE: Glioblastoma is routinely treated by concomitant radiochemotherapy. Current target definition guidelines use anatomic MRI (magnetic resonance imaging) scans, taking into account contrast enhancement and the rather unspecific hyperintensity o...
Precision Medicine Retrospective Studies Diffusion Tensor Imaging Female Glioblastoma Humans Neoplasm Recurrence, Local Aged Radiotherapy Planning, Computer-Assisted Aged, 80 and over Male Radiotherapy Dosage Adult Middle Aged Brain Neoplasms Deep Learning
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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, Intensity-Modulated Radiometry Machine Learning Regression Analysis Radiotherapy Planning, Computer-Assisted
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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...
Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Head and Neck Neoplasms Humans Radiotherapy, Intensity-Modulated Radiometry Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images-Application in Brain Proton Therapy.

International journal of radiation oncology, biology, physics Jul 2, 2019
PURPOSE: The first aim of this work is to present a novel deep convolution neural network (DCNN) multiplane approach and compare it to single-plane prediction of synthetic computed tomography (sCT) by using the real computed tomography (CT) as ground...
Skull Proton Therapy Radiotherapy, Image-Guided Technology, Radiologic Radiotherapy Planning, Computer-Assisted Head Radiotherapy Dosage Air Multimodal Imaging Glioblastoma Feasibility Studies Humans Neural Networks, Computer Algorithms Tomography, X-Ray Computed Reproducibility of Results Brain Neoplasms Magnetic Resonance Imaging
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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...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiometry Prostatic Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Neural Networks, Computer Male
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Three-dimensional dose prediction for lung IMRT patients with deep neural networks: robust learning from heterogeneous beam configurations.

Medical physics Jun 17, 2019
PURPOSE: The use of neural networks to directly predict three-dimensional dose distributions for automatic planning is becoming popular. However, the existing methods use only patient anatomy as input and assume consistent beam configuration for all ...
Humans Deep Learning Lung Neoplasms Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage
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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 Jun 13, 2019
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...
Hypopharyngeal Neoplasms Oropharyngeal Neoplasms Submandibular Gland Xerostomia Area Under Curve Parotid Gland Radiotherapy Planning, Computer-Assisted Radiotherapy, Conformal Radiotherapy, Image-Guided Laryngeal Neoplasms Pharyngeal Neoplasms Deep Learning ROC Curve Logistic Models Squamous Cell Carcinoma of Head and Neck Humans Retrospective Studies Tomography, X-Ray Computed
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