AIMC Topic: Radiosurgery

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Image-Guided Robotic Radiosurgery for Treatment of Recurrent Grade II and III Meningiomas. A Single-Center Study.

World neurosurgery Jul 12, 2019
OBJECTIVE: Stereotactic radiosurgery (SRS) has been increasingly applied for malignant meningiomas as an alternative to conventionally fractioned radiation therapy. We performed a retrospective analysis of an institutional patient cohort with maligna...
Aged Aged, 80 and over Adult Male Middle Aged Humans Prognosis Retrospective Studies Female Progression-Free Survival Radiosurgery Radiotherapy, Image-Guided Meningioma Meningeal Neoplasms Treatment Outcome Age Factors Robotics Neoplasm Grading Neoplasm Recurrence, Local
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An image-based deep learning framework for individualizing radiotherapy dose.

The Lancet. Digital health Jun 27, 2019
BACKGROUND: Radiotherapy continues to be delivered uniformly without consideration of individual tumor characteristics. To advance toward more precise treatments in radiotherapy, we queried the lung computed tomography (CT)-derived feature space to i...
Humans Female Aged Aged, 80 and over Male Deep Learning Carcinoma, Non-Small-Cell Lung Radiation Dosage Radiosurgery
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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 Humans Automation Machine Learning Radiosurgery Brain Arteriovenous Malformations Tomography, X-Ray Computed
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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...
Quality Improvement Radiotherapy Dosage Radiosurgery Radiometry Cone-Beam Computed Tomography Humans Decision Trees Machine Learning Pelvis Retrospective Studies Organs at Risk Brain Neoplasms Radiotherapy Planning, Computer-Assisted
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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....
Female Aged Aged, 80 and over Adult Male Humans Neural Networks, Computer Algorithms Liver Neoplasms Liver Radiotherapy Planning, Computer-Assisted Radiosurgery Kaplan-Meier Estimate Middle Aged Disease Progression Deep Learning ROC Curve
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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...
Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiosurgery Radiometry Male Middle Aged Magnetic Resonance Imaging Robotics Humans Algorithms Female Aged Brain Neoplasms
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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...
Radiation Dosage Radiosurgery Trigeminal Neuralgia Kaplan-Meier Estimate Follow-Up Studies Predictive Value of Tests Pain Measurement Neurosurgical Procedures Aged Aged, 80 and over Young Adult Adult Male Middle Aged Depression Adolescent Treatment Outcome Humans Diabetes Mellitus Neural Networks, Computer Prognosis Female Risk Factors
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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.
Magnetic Resonance Imaging, Interventional Neural Networks, Computer Algorithms Retrospective Studies Male Image Processing, Computer-Assisted Prostatic Neoplasms Prostate Brachytherapy Radiosurgery Humans
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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...
Unsupervised Machine Learning Radiosurgery Radiation Injuries Intracranial Arteriovenous Malformations Female Male Parenchymal Tissue Risk Factors Humans Middle Aged Aged Algorithms Adolescent Prospective Studies Child Brain Young Adult Adult
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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...
Humans Computer Simulation Male Computer Systems Robotics Prostatic Neoplasms Robotic Surgical Procedures Motion Radiotherapy Planning, Computer-Assisted Radiosurgery Patient Positioning Phantoms, Imaging Head Movements
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