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Radiotherapy Dosage

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Deep Learning for Patient-Specific Quality Assurance: Predicting Gamma Passing Rates for IMRT Based on Delivery Fluence Informed by log Files.

Technology in cancer research & treatment Jan 1, 2022
In this study, we propose a deep learning-based approach to predict Intensity-modulated radiation therapy (IMRT) quality assurance (QA) gamma passing rates using delivery fluence informed by log files. A total of 112 IMRT plans for chest cancers we...
Humans Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiometry Particle Accelerators Deep Learning Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care
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Cone Beam CT (CBCT) Based Synthetic CT Generation Using Deep Learning Methods for Dose Calculation of Nasopharyngeal Carcinoma Radiotherapy.

Technology in cancer research & treatment Jan 1, 2021
To generate synthetic CT (sCT) images with high quality from CBCT and planning CT (pCT) for dose calculation by using deep learning methods. 169 NPC patients with a total of 20926 slices of CBCT and pCT images were included. In this study the Cycle...
Aged Young Adult Adult Male Humans Algorithms Female Cone-Beam Computed Tomography Image Processing, Computer-Assisted Neoplasm Staging Neoplasm Grading Middle Aged Deep Learning Adolescent Radiotherapy, Image-Guided Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Nasopharyngeal Carcinoma
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Monte Carlo Dose Calculation Using MRI Based Synthetic CT Generated by Fully Convolutional Neural Network for Gamma Knife Radiosurgery.

Technology in cancer research & treatment Jan 1, 2021
The aim of this work is to study the dosimetric effect from generated synthetic computed tomography (sCT) from magnetic resonance (MR) images using a deep learning algorithm for Gamma Knife (GK) stereotactic radiosurgery (SRS). The Monte Carlo (MC) m...
Retrospective Studies Tomography, X-Ray Computed Neoplasms Radiosurgery Deep Learning Monte Carlo Method Image Processing, Computer-Assisted Phantoms, Imaging Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Organs at Risk Radiotherapy Dosage Humans Radiotherapy, Intensity-Modulated Neural Networks, Computer Prognosis
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Knowledge-Based Planning for Intact Cervical Cancer.

Seminars in radiation oncology Oct 1, 2020
Cervical cancer radiotherapy is often complicated by significant variability in the quality and consistency of treatment plans. Knowledge-based planning (KBP), which utilizes prior patient data to correlated achievable optimal dosimetry with patient-...
Organs at Risk Quality Control Radiotherapy Planning, Computer-Assisted Tumor Burden Clinical Trials as Topic Radiotherapy Dosage Organ Sparing Treatments Humans Female Uterine Cervical Neoplasms Knowledge Bases
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Automated Intensity Modulated Radiation Therapy Treatment Planning for Cervical Cancer Based on Convolution Neural Network.

Technology in cancer research & treatment Jan 1, 2020
PURPOSE: To develop and evaluate an automatic intensity-modulated radiation therapy (IMRT) program for cervical cancer, including a Convolution Neural Network (CNN)-based prediction model and an automated optimization strategy.
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Neural Networks, Computer Female Uterine Cervical Neoplasms Deep Learning
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A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patients.

Journal of radiation research Oct 23, 2019
The purpose of the study was to compare a 3D convolutional neural network (CNN) with the conventional machine learning method for predicting intensity-modulated radiation therapy (IMRT) dose distribution using only contours in prostate cancer. In thi...
Radiotherapy, Intensity-Modulated Dose-Response Relationship, Radiation Algorithms Male Prostatic Neoplasms Radiotherapy Dosage Humans Neural Networks, Computer
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Using Artificial Intelligence to Improve the Quality and Safety of Radiation Therapy.

Journal of the American College of Radiology : JACR Sep 1, 2019
Within artificial intelligence, machine learning (ML) efforts in radiation oncology have augmented the transition from generalized to personalized treatment delivery. Although their impact on quality and safety of radiation therapy has been limited, ...
Forecasting Radiation Oncology Safety Management Quality Control Radiotherapy Planning, Computer-Assisted Humans Quality Improvement Artificial Intelligence Radiotherapy Radiotherapy Dosage Machine Learning Algorithms
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Deep Learning Based Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Rapid esophageal radiation treatment planning is often obstructed by manually adjusting optimization parameters. The adjustment process is commonly guided by the dose-volume histogram (DVH), which evaluates dosimetry at planning target volume (PTV) a...
Humans Radiometry Deep Learning Radiotherapy Planning, Computer-Assisted Organs at Risk Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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In Regard to Bondiau et al.

International journal of radiation oncology, biology, physics Jul 1, 2019
Humans Robotics Breast Neoplasms Robotic Surgical Procedures Imaging, Three-Dimensional Radiotherapy Dosage
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MR-based treatment planning in radiation therapy using a deep learning approach.

Journal of applied clinical medical physics Mar 1, 2019
PURPOSE: To develop and evaluate the feasibility of deep learning approaches for MR-based treatment planning (deepMTP) in brain tumor radiation therapy.
Adult Stroke Female Radiotherapy, Intensity-Modulated Brain Neoplasms Humans Middle Aged Retrospective Studies Male Deep Learning Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Aged Radiotherapy Dosage Imaging, Three-Dimensional Aged, 80 and over Magnetic Resonance Imaging Young Adult
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