AIMC Topic: Organs at Risk

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A study of positioning orientation effect on segmentation accuracy using convolutional neural networks for rectal cancer.

Journal of applied clinical medical physics Nov 12, 2018
PURPOSE: Convolutional neural networks (CNN) have greatly improved medical image segmentation. A robust model requires training data can represent the entire dataset. One of the differing characteristics comes from variability in patient positioning ...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Prone Position Patient Positioning Supine Position Rectal Neoplasms Organs at Risk Humans Neural Networks, Computer
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Comparison of the automatic segmentation of multiple organs at risk in CT images of lung cancer between deep convolutional neural network-based and atlas-based techniques.

Acta oncologica (Stockholm, Sweden) Nov 6, 2018
BACKGROUND: In this study, a deep convolutional neural network (CNN)-based automatic segmentation technique was applied to multiple organs at risk (OARs) depicted in computed tomography (CT) images of lung cancer patients, and the results were compar...
Lung Neoplasms Esophagus Spine Organs at Risk Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiography, Thoracic Radiography, Abdominal Humans Atlases as Topic Radiotherapy Planning, Computer-Assisted Anatomy, Artistic Tumor Burden Pattern Recognition, Automated
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Assessment of specific versus combined purpose knowledge based models in prostate radiotherapy.

Journal of applied clinical medical physics Oct 19, 2018
Knowledge-based planning (KBP) can be used to improve plan quality, planning speed, and reduce the inter-patient plan variability. KPB may also identify and reduce systematic variations in VMAT plans, something very important in multi-institutional c...
Radiometry Pelvis Models, Biological Knowledge Bases Radiotherapy Dosage Radiotherapy, Intensity-Modulated Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Male Lymph Nodes Prostatic Neoplasms
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Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning.

European radiology Oct 9, 2018
OBJECTIVE: Accurate detection and segmentation of organs at risks (OARs) in CT image is the key step for efficient planning of radiation therapy for nasopharyngeal carcinoma (NPC) treatment. We develop a fully automated deep-learning-based method (te...
Tomography, X-Ray Computed Female Aged Young Adult Humans Neural Networks, Computer Middle Aged Deep Learning Adolescent Organs at Risk Adult Sensitivity and Specificity Male Nasopharyngeal Carcinoma Organ Sparing Treatments Patient Care Planning
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Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks.

Medical physics Sep 19, 2018
PURPOSE: Intensity modulated radiation therapy (IMRT) is commonly employed for treating head and neck (H&N) cancer with uniform tumor dose and conformal critical organ sparing. Accurate delineation of organs-at-risk (OARs) on H&N CT images is thus es...
Humans Neural Networks, Computer Head and Neck Neoplasms Automation Organs at Risk Tomography, X-Ray Computed Image Processing, Computer-Assisted Models, Theoretical
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Development of deep neural network for individualized hepatobiliary toxicity prediction after liver SBRT.

Medical physics Sep 10, 2018
BACKGROUND: Accurate prediction of radiation toxicity of healthy organs-at-risks (OARs) critically determines the radiation therapy (RT) success. The existing dose-volume histogram-based metric may grossly under/overestimate the therapeutic toxicity ...
Treatment Failure Risk Biliary Tract Neural Networks, Computer Radiotherapy Dosage Humans Organs at Risk Precision Medicine Radiosurgery Radiotherapy Planning, Computer-Assisted Liver
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Knowledge-Based Planning for Identifying High-Risk Stereotactic Ablative Radiation Therapy Treatment Plans for Lung Tumors Larger Than 5 cm.

International journal of radiation oncology, biology, physics Aug 14, 2018
PURPOSE: Stereotactic ablative body radiation therapy (SABR) for lung tumors ≥5 cm can be associated with more toxicity than that for smaller tumors. We investigated the relationship between dosimetry and toxicity and used a knowledge-based planning ...
Knowledge Bases Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiosurgery Humans Lung Neoplasms
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Creation of knowledge-based planning models intended for large scale distribution: Minimizing the effect of outlier plans.

Journal of applied clinical medical physics Apr 6, 2018
Knowledge-based planning (KBP) can be used to estimate dose-volume histograms (DVHs) of organs at risk (OAR) using models. The task of model creation, however, can result in estimates with differing accuracy; particularly when outlier plans are not p...
Models, Biological Knowledge Bases Organs at Risk Quality Control Male Humans Head and Neck Neoplasms Organ Sparing Treatments Retrospective Studies Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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Functional-guided radiotherapy using knowledge-based planning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 5, 2018
BACKGROUND AND PURPOSE: There are two significant challenges when implementing functional-guided radiotherapy using 4DCT-ventilation imaging: (1) lack of knowledge of realistic patient specific dosimetric goals for functional lung and (2) ensuring co...
Humans Lung Neoplasms Radiotherapy Dosage Organs at Risk Knowledge Bases Four-Dimensional Computed Tomography Radiotherapy Planning, Computer-Assisted Respiration
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Fully automated searching for the optimal VMAT jaw settings based on Eclipse Scripting Application Programming Interface (ESAPI) and RapidPlan knowledge-based planning.

Journal of applied clinical medical physics Mar 25, 2018
PURPOSE: Eclipse treatment planning system has not been able to optimize the jaw positions for Volumetric Modulated Arc Therapy (VMAT). The arbitrary and planner-dependent jaw placements define the maximum field size within which multi-leaf-collimato...
Radiotherapy Dosage Knowledge Bases Humans Radiotherapy, Intensity-Modulated Organs at Risk Jaw Algorithms Patient Care Planning Radiotherapy Planning, Computer-Assisted Jaw Relation Record Rectal Neoplasms
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