AIMC Topic: Radiosurgery

Clear Filters Showing 81 to 90 of 152 articles

Learning-based automatic segmentation of arteriovenous malformations on contrast CT images in brain stereotactic radiosurgery.

Medical physics May 21, 2019
PURPOSE: Stereotactic radiosurgery (SRS) is widely used to obliterate arteriovenous malformations (AVMs). Its performance relies on the accuracy of delineating the target AVM. Manual segmentation during a framed SRS procedure is time consuming and su...
Image Processing, Computer-Assisted Contrast Media Automation Radiosurgery Arteriovenous Malformations Humans Machine Learning Brain Tomography, X-Ray Computed
View on PubMed DOI

Dosimetric study on learning-based cone-beam CT correction in adaptive radiation therapy.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Apr 1, 2019
INTRODUCTION: Cone-beam CT (CBCT) image quality is important for its quantitative analysis in adaptive radiation therapy. However, due to severe artifacts, the CBCTs are primarily used for verifying patient setup only so far. We have developed a lear...
Humans Radiotherapy Dosage Decision Trees Radiosurgery Pelvis Machine Learning Radiometry Organs at Risk Retrospective Studies Radiotherapy Planning, Computer-Assisted Brain Neoplasms Quality Improvement Cone-Beam Computed Tomography
View on PubMed DOI

Neural Networks for Deep Radiotherapy Dose Analysis and Prediction of Liver SBRT Outcomes.

IEEE journal of biomedical and health informatics Mar 11, 2019
Stereotactic body radiation therapy (SBRT) is a relatively novel treatment modality, with little post-treatment prognostic information reported. This study proposes a novel neural network based paradigm for accurate prediction of liver SBRT outcomes....
Liver Neoplasms Liver Radiotherapy Planning, Computer-Assisted Radiosurgery Kaplan-Meier Estimate Humans Middle Aged Neural Networks, Computer Disease Progression Algorithms Deep Learning Female ROC Curve Aged Aged, 80 and over Adult Male
View on PubMed DOI

Automated noncoplanar treatment planning strategy in stereotactic radiosurgery of multiple cranial metastases: HyperArc and CyberKnife dose distributions.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Mar 1, 2019
The purpose of this study was to evaluate and compare the dosimetric effects of HyperArc-based stereotactic radiosurgery (SRS) and a robotic radiosurgery system-based planning using CyberKnife for multiple cranial metastases. In total, 11 cancer pati...
Middle Aged Magnetic Resonance Imaging Robotics Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiosurgery Radiometry Algorithms Female Aged Brain Neoplasms Male Humans
View on PubMed DOI

Application of an artificial neural network model for early outcome prediction of gamma knife radiosurgery in patients with trigeminal neuralgia and determining the relative importance of risk factors.

Clinical neurology and neurosurgery Feb 12, 2019
OBJECTIVES: Stereotactic radiosurgery (SRS) is a minimally invasive modality for the treatment of trigeminal neuralgia (TN). Outcome prediction of this modality is very important for proper case selection. The aim of this study was to create artifici...
Middle Aged Depression Adolescent Treatment Outcome Diabetes Mellitus Aged, 80 and over Young Adult Adult Male Radiation Dosage Radiosurgery Trigeminal Neuralgia Kaplan-Meier Estimate Follow-Up Studies Predictive Value of Tests Pain Measurement Neurosurgical Procedures Humans Neural Networks, Computer Prognosis Female Risk Factors Aged
View on PubMed DOI

Development and clinical implementation of SeedNet: A sliding-window convolutional neural network for radioactive seed identification in MRI-assisted radiosurgery (MARS).

Magnetic resonance in medicine Feb 8, 2019
PURPOSE: To develop and evaluate a sliding-window convolutional neural network (CNN) for radioactive seed identification in MRI of the prostate after permanent implant brachytherapy.
Humans Magnetic Resonance Imaging, Interventional Image Processing, Computer-Assisted Neural Networks, Computer Prostatic Neoplasms Algorithms Prostate Retrospective Studies Brachytherapy Male Radiosurgery
View on PubMed DOI

Intervening Nidal Brain Parenchyma and Risk of Radiation-Induced Changes After Radiosurgery for Brain Arteriovenous Malformation: A Study Using an Unsupervised Machine Learning Algorithm.

World neurosurgery Jan 22, 2019
OBJECTIVE: To assess the sensitivity and specificity of arteriovenous malformation (AVM) nidal component identification and quantification using an unsupervised machine learning algorithm and to evaluate the association between intervening nidal brai...
Humans Middle Aged Adolescent Child Unsupervised Machine Learning Algorithms Risk Factors Radiosurgery Prospective Studies Aged Radiation Injuries Brain Young Adult Intracranial Arteriovenous Malformations Female Adult Parenchymal Tissue Male
View on PubMed DOI

Optimization based trajectory planning for real-time 6DoF robotic patient motion compensation systems.

PloS one Jan 11, 2019
PURPOSE: Robotic stabilization of a therapeutic radiation beam with respect to a dynamically moving tumor target can be accomplished either by moving the radiation source, the patient, or both. As the treatment beam is on during this process, the pri...
Patient Positioning Phantoms, Imaging Head Movements Prostatic Neoplasms Robotic Surgical Procedures Motion Radiotherapy Planning, Computer-Assisted Computer Simulation Humans Radiosurgery Male Computer Systems Robotics
View on PubMed DOI

Predictors of Nodal and Metastatic Failure in Early Stage Non-small-cell Lung Cancer After Stereotactic Body Radiation Therapy.

Clinical lung cancer Dec 29, 2018
INTRODUCTION/BACKGROUND: Many patients with early stage non-small-cell lung cancer (ES-NSCLC) undergoing stereotactic body radiation therapy (SBRT) develop metastases, which is associated with poor outcomes. We sought to identify factors predictive o...
Radiosurgery Risk Factors Middle Aged Humans Treatment Failure Follow-Up Studies Prognosis Retrospective Studies Lymphatic Metastasis Disease Progression Female Aged Neoplasm Staging Lung Neoplasms Aged, 80 and over Tumor Burden Carcinoma, Non-Small-Cell Lung Adult Radiotherapy Dosage Male
View on PubMed DOI

DoseNet: a volumetric dose prediction algorithm using 3D fully-convolutional neural networks.

Physics in medicine and biology Dec 4, 2018
The goal of this study is to demonstrate the feasibility of a novel fully-convolutional volumetric dose prediction neural network (DoseNet) and test its performance on a cohort of prostate stereotactic body radiotherapy (SBRT) patients. DoseNet is su...
Algorithms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiosurgery Humans Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals