AIMC Topic: Radiotherapy Dosage
Clear Filters Showing 301 to 310 of 497 articles
Multicentre, deep learning, synthetic-CT generation for ano-rectal MR-only radiotherapy treatment planning.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Nov 29, 2020
BACKGROUND AND PURPOSE: Comprehensive dosimetric analysis is required prior to the clinical implementation of pelvic MR-only sites, other than prostate, due to the limited number of site specific synthetic-CT (sCT) dosimetric assessments in the liter...
Deep learning-based inverse mapping for fluence map prediction.
Physics in medicine and biology
Nov 27, 2020
We developed a fluence map prediction method that directly generates fluence maps for a given desired dose distribution without optimization for volumetric modulated arc therapy (VMAT) planning. The prediction consists of two steps. First, projection...
Using Auto-Segmentation to Reduce Contouring and Dose Inconsistency in Clinical Trials: The Simulated Impact on RTOG 0617.
International journal of radiation oncology, biology, physics
Nov 13, 2020
PURPOSE: Contouring inconsistencies are known but understudied in clinical radiation therapy trials. We applied auto-contouring to the Radiation Therapy Oncology Group (RTOG) 0617 dose escalation trial data. We hypothesized that the trial heart doses...
Clinical Trials, Phase III as Topic
Statistics, Nonparametric
Proportional Hazards Models
Radiotherapy Dosage
Humans
Algorithms
Tomography, X-Ray Computed
Female
Aged
Lung Neoplasms
Male
Aged, 80 and over
Carcinoma, Non-Small-Cell Lung
Middle Aged
Adult
Heart
Organs at Risk
Deep Learning
Confidence Intervals
Linear Models
Use of Receiver Operating Curve Analysis and Machine Learning With an Independent Dose Calculation System Reduces the Number of Physical Dose Measurements Required for Patient-Specific Quality Assurance.
International journal of radiation oncology, biology, physics
Nov 13, 2020
PURPOSE: Our purpose was to assess the use of machine learning methods and Mobius 3D (M3D) dose calculation software to reduce the number of physical ion chamber (IC) dose measurements required for patient-specific quality assurance during corona vir...
Automatic Segmentation Using Deep Learning to Enable Online Dose Optimization During Adaptive Radiation Therapy of Cervical Cancer.
International journal of radiation oncology, biology, physics
Nov 9, 2020
PURPOSE: This study investigated deep learning models for automatic segmentation to support the development of daily online dose optimization strategies, eliminating the need for internal target volume expansions and thereby reducing toxicity events ...
Artificial intelligence-based radiotherapy machine parameter optimization using reinforcement learning.
Medical physics
Nov 5, 2020
PURPOSE: To develop and evaluate a volumetric modulated arc therapy (VMAT) machine parameter optimization (MPO) approach based on deep-Q reinforcement learning (RL) capable of finding an optimal machine control policy using previous prostate cancer p...
Feasibility study of range verification based on proton-induced acoustic signals and recurrent neural network.
Physics in medicine and biology
Nov 5, 2020
Range verification in proton therapy is a critical quality assurance task. We studied the feasibility of online range verification based on proton-induced acoustic signals, using a bidirectional long-short-term-memory recurrent neural network and var...
Incorporating historical sub-optimal deep neural networks for dose prediction in radiotherapy.
Medical image analysis
Oct 26, 2020
As the main treatment for cancer patients, radiotherapy has achieved enormous advancement over recent decades. However, these achievements have come at the cost of increased treatment plan complexity, necessitating high levels of expertise experience...
Using deep learning to model the biological dose prediction on bulky lung cancer patients of partial stereotactic ablation radiotherapy.
Medical physics
Oct 26, 2020
PURPOSE: To develop a biological dose prediction model considering tissue bio-reactions in addition to patient anatomy for achieving a more comprehensive evaluation of tumor control and promoting the automatic planning of bulky lung cancer.
Dose prediction with deep learning for prostate cancer radiation therapy: Model adaptation to different treatment planning practices.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Oct 22, 2020
PURPOSE: This work aims to study the generalizability of a pre-developed deep learning (DL) dose prediction model for volumetric modulated arc therapy (VMAT) for prostate cancer and to adapt the model, via transfer learning with minimal input data, t...
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