AIMC Topic: Radiotherapy Dosage

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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...
Retrospective Studies Tomography, X-Ray Computed Reproducibility of Results Deep Learning Humans Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiography, Abdominal Liver Neoplasms Carcinoma, Hepatocellular Image Processing, Computer-Assisted
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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...
Radiotherapy Dosage Diffusion Tensor Imaging Brain Neoplasms Male Middle Aged Deep Learning Glioblastoma Neoplasm Recurrence, Local Radiotherapy Planning, Computer-Assisted Female Aged Aged, 80 and over Adult Humans Precision Medicine Retrospective Studies
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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...
Radiotherapy, Intensity-Modulated Radiometry Neural Networks, Computer Tomography, X-Ray Computed Humans Head and Neck Neoplasms Image Processing, Computer-Assisted 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...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Reproducibility of Results Humans Glioblastoma Feasibility Studies Radiotherapy Planning, Computer-Assisted Head Brain Neoplasms Magnetic Resonance Imaging Multimodal Imaging Proton Therapy Radiotherapy, Image-Guided Radiotherapy Dosage Technology, Radiologic Air Skull
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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 Humans Prostatic Neoplasms Organs at Risk Neural Networks, Computer Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiometry
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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 Dosage Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Radiation Dosage
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Dose distribution prediction in isodose feature-preserving voxelization domain using deep convolutional neural network.

Medical physics Jun 7, 2019
PURPOSE: To implement a framework for dose prediction using a deep convolutional neural network (CNN) based on the concept of isodose feature-preserving voxelization (IFPV) in simplifying the representation of the dose distribution.
Deep Learning Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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Development and Validation of a Bayesian Network Method to Detect External Beam Radiation Therapy Physician Order Errors.

International journal of radiation oncology, biology, physics May 31, 2019
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radiation therapy physician orders.
Humans Medical Errors False Negative Reactions Dose Fractionation, Radiation Neural Networks, Computer Radiotherapy, Image-Guided Neoplasms False Positive Reactions Radiotherapy Setup Errors Algorithms Radiotherapy Dosage Simulation Training Technology, Radiologic Cohort Studies Radiologists Organ Specificity ROC Curve Radiotherapy Planning, Computer-Assisted Bayes Theorem Datasets as Topic
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Intelligent inverse treatment planning via deep reinforcement learning, a proof-of-principle study in high dose-rate brachytherapy for cervical cancer.

Physics in medicine and biology May 29, 2019
Inverse treatment planning in radiation therapy is formulated as solving optimization problems. The objective function and constraints consist of multiple terms designed for different clinical and practical considerations. Weighting factors of these ...
Deep Learning Radiotherapy Planning, Computer-Assisted Brachytherapy Radiotherapy Dosage Algorithms Female Humans Uterine Cervical Neoplasms
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Predicting VMAT patient-specific QA results using a support vector classifier trained on treatment plan characteristics and linac QC metrics.

Physics in medicine and biology Apr 29, 2019
The use of treatment plan characteristics to predict patient-specific quality assurance (QA) measurement results has recently been reported as a strategy to help facilitate automated pre-treatment verification workflows or to provide a virtual assess...
Radiotherapy Dosage Humans Radiotherapy, Intensity-Modulated Machine Learning Patient-Specific Modeling Radiotherapy Planning, Computer-Assisted Particle Accelerators
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