AIMC Topic: Radiotherapy, Intensity-Modulated

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Deep learning method for prediction of patient-specific dose distribution in breast cancer.

Radiation oncology (London, England) Aug 17, 2021
BACKGROUND: Patient-specific dose prediction improves the efficiency and quality of radiation treatment planning and reduces the time required to find the optimal plan. In this study, a patient-specific dose prediction model was developed for a left-...
Female Breast Neoplasms Middle Aged Humans Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Deep Learning Organs at Risk
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Managing tumor changes during radiotherapy using a deep learning model.

Medical physics Aug 11, 2021
PURPOSE: We propose a treatment planning framework that accounts for weekly lung tumor shrinkage using cone beam computed tomography (CBCT) images with a deep learning-based model.
Humans Male Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Cone-Beam Computed Tomography Lung Neoplasms Carcinoma, Non-Small-Cell Lung
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Applications of machine and deep learning to patient-specific IMRT/VMAT quality assurance.

Journal of applied clinical medical physics Aug 3, 2021
In order to deliver accurate and safe treatment to cancer patients in radiation therapy using advanced techniques such as intensity modulated radiation therapy (IMRT) and volumetric-arc radiation therapy (VMAT), patient specific quality assurance (QA...
Radiotherapy, Intensity-Modulated Phantoms, Imaging Humans Machine Learning Deep Learning Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Radiotherapy Dosage
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Development of in-house fully residual deep convolutional neural network-based segmentation software for the male pelvic CT.

Radiation oncology (London, England) Jul 22, 2021
BACKGROUND: This study aimed to (1) develop a fully residual deep convolutional neural network (CNN)-based segmentation software for computed tomography image segmentation of the male pelvic region and (2) demonstrate its efficiency in the male pelvi...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Urinary Bladder Seminal Vesicles Prostatic Neoplasms Pelvis Organs at Risk Male Image Processing, Computer-Assisted Humans Neural Networks, Computer Software Prognosis
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A feasibility study on deep learning-based individualized 3D dose distribution prediction.

Medical physics Jul 11, 2021
PURPOSE: Radiation therapy treatment planning is a trial-and-error, often time-consuming process. An approximately optimal dose distribution corresponding to a specific patient's anatomy can be predicted by using pre-trained deep learning (DL) models...
Feasibility Studies Organs at Risk Radiotherapy Planning, Computer-Assisted Male Deep Learning Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans
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Interobserver variability in organ at risk delineation in head and neck cancer.

Radiation oncology (London, England) Jun 28, 2021
BACKGROUND: In radiotherapy inaccuracy in organ at risk (OAR) delineation can impact treatment plan optimisation and treatment plan evaluation. Brouwer et al. showed significant interobserver variability (IOV) in OAR delineation in head and neck canc...
Radiotherapy Planning, Computer-Assisted Prognosis Humans Radiotherapy Dosage Observer Variation Head and Neck Neoplasms Artificial Intelligence Radiotherapy, Intensity-Modulated Organs at Risk
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The dosimetric impact of deep learning-based auto-segmentation of organs at risk on nasopharyngeal and rectal cancer.

Radiation oncology (London, England) Jun 23, 2021
PURPOSE: To investigate the dosimetric impact of deep learning-based auto-segmentation of organs at risk (OARs) on nasopharyngeal and rectal cancer.
Deep Learning Image Processing, Computer-Assisted Prognosis Radiotherapy, Intensity-Modulated Rectal Neoplasms Tomography, X-Ray Computed Humans Nasopharyngeal Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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A hierarchical deep reinforcement learning framework for intelligent automatic treatment planning of prostate cancer intensity modulated radiation therapy.

Physics in medicine and biology Jun 23, 2021
We have previously proposed an intelligent automatic treatment planning (IATP) framework that builds a virtual treatment planner network (VTPN) to operate a treatment planning system (TPS) to generate high-quality radiation therapy (RT) treatment pla...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Deep Learning Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Humans Male
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Technical Note: Dose prediction for head and neck radiotherapy using a three-dimensional dense dilated U-net architecture.

Medical physics Jun 22, 2021
PURPOSE: Radiation therapy treatment planning is a time-consuming and iterative manual process. Consequently, plan quality varies greatly between and within institutions. Artificial intelligence shows great promise in improving plan quality and reduc...
Radiotherapy Planning, Computer-Assisted Humans Radiotherapy Dosage Artificial Intelligence Radiotherapy, Intensity-Modulated Deep Learning
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Technical Note: Dose prediction for radiation therapy using feature-based losses and One Cycle Learning.

Medical physics Jun 22, 2021
PURPOSE: To present the technical details of the runner-up model in the open knowledge-based planning (OpenKBP) challenge for the dose-volume histogram (DVH) stream. The model was designed to ensure simple and reproducible training, without the neces...
Humans Deep Learning Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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