AIMC Topic: Radiosurgery

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Auto-segmentation of cerebral cavernous malformations using a convolutional neural network.

BMC medical imaging May 26, 2025
BACKGROUND: This paper presents a deep learning model for the automated segmentation of cerebral cavernous malformations (CCMs).
Deep Learning Convolutional Neural Networks Magnetic Resonance Imaging Radiosurgery Female Adult Male Middle Aged Hemangioma, Cavernous, Central Nervous System Humans Neural Networks, Computer
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[Radiosurgery of benign intracranial lesions. Indications, results , and perspectives].

Revue medicale suisse May 14, 2025
Stereotactic radiosurgery (SRS) is a non-invasive technique that is transforming the management of benign intracranial lesions through its precision and preservation of healthy tissues. It is effective for meningiomas, trigeminal neuralgia (TN), pitu...
Radiosurgery Trigeminal Neuralgia Meningioma Meningeal Neoplasms Humans Brain Neoplasms Magnetic Resonance Imaging
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Computational Modeling and AI in Radiation Neuro-Oncology and Radiosurgery.

Advances in experimental medicine and biology Jan 1, 2024
The chapter explores the extensive integration of artificial intelligence (AI) in healthcare systems, with a specific focus on its application in stereotactic radiosurgery. The rapid evolution of AI technology has led to promising developments in thi...
Computer Simulation Brain Neoplasms Deep Learning Radiation Oncology Artificial Intelligence Machine Learning Algorithms Radiosurgery Humans
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Artificial Intelligence-suggested Predictive Model of Survival in Patients Treated With Stereotactic Radiotherapy for Early Lung Cancer.

In vivo (Athens, Greece) Jan 1, 2024
BACKGROUND/AIM: Overall survival (OS)-predictive models to clinically stratify patients with stage I Non-Small Cell Lung Cancer (NSCLC) undergoing stereotactic body radiation therapy (SBRT) are still unavailable. The aim of this work was to build a p...
Humans Male Middle Aged Lung Neoplasms Carcinoma, Non-Small-Cell Lung Neoplasm Staging Radiosurgery Retrospective Studies Female Aged Neural Networks, Computer Aged, 80 and over Artificial Intelligence Prognosis
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Patient Cranial Angle and Intrafractional Stability in CyberKnife Robotic Radiosurgery: A Retrospective Analysis.

Technology in cancer research & treatment Jan 1, 2024
The aim of this study was to investigate whether variations in cranial angles and treatment accuracy during CyberKnife robotic radiosurgery necessitate adjustment of the margins of the planning target volume. Data from 66 patients receiving CyberKn...
Robotic Surgical Procedures Radiotherapy Planning, Computer-Assisted Radiosurgery Humans Retrospective Studies Robotics
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Deep Learning-Based Internal Target Volume (ITV) Prediction Using Cone-Beam CT Images in Lung Stereotactic Body Radiotherapy.

Technology in cancer research & treatment Jan 1, 2022
This study aims to develop a deep learning (DL)-based (Mask R-CNN) method to predict the internal target volume (ITV) in cone beam computed tomography (CBCT) images for lung stereotactic body radiotherapy (SBRT) patients and to evaluate the predictio...
Deep Learning Cone-Beam Computed Tomography Lung Neoplasms Radiotherapy Planning, Computer-Assisted Respiration Radiosurgery Four-Dimensional Computed Tomography Humans Lung
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Automated approach for segmenting gross tumor volumes for lung cancer stereotactic body radiation therapy using CT-based dense V-networks.

Journal of radiation research Mar 10, 2021
The aim of this study was to develop an automated segmentation approach for small gross tumor volumes (GTVs) in 3D planning computed tomography (CT) images using dense V-networks (DVNs) that offer more advantages in segmenting smaller structures than...
Automation Radiosurgery Lung Neoplasms Radiographic Image Interpretation, Computer-Assisted Tumor Burden Algorithms Tomography, X-Ray Computed Female Aged Aged, 80 and over Adult Male Middle Aged Humans Neural Networks, Computer
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Monte Carlo Dose Calculation Using MRI Based Synthetic CT Generated by Fully Convolutional Neural Network for Gamma Knife Radiosurgery.

Technology in cancer research & treatment Jan 1, 2021
The aim of this work is to study the dosimetric effect from generated synthetic computed tomography (sCT) from magnetic resonance (MR) images using a deep learning algorithm for Gamma Knife (GK) stereotactic radiosurgery (SRS). The Monte Carlo (MC) m...
Retrospective Studies Tomography, X-Ray Computed Neoplasms Deep Learning Image Processing, Computer-Assisted Monte Carlo Method Humans Radiotherapy Dosage Magnetic Resonance Imaging Phantoms, Imaging Neural Networks, Computer Radiotherapy, Intensity-Modulated Organs at Risk Prognosis Radiosurgery Radiotherapy Planning, Computer-Assisted
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[New aspects in the treatment of localized renal cell carcinoma].

Der Urologe. Ausg. A Feb 1, 2020
BACKGROUND: Localized renal cell carcinoma is increasingly relevant in daily urological practice due to earlier diagnosis and higher life expectancy.
Nephrectomy Robotics Kidney Neoplasms Humans Minimally Invasive Surgical Procedures Radiosurgery Prospective Studies Laparoscopy Carcinoma, Renal Cell Treatment Outcome Robotic Surgical Procedures
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Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks.

Anticancer research Sep 1, 2018
BACKGROUND: It is unclear whether radiomic phenotypes of brain metastases (BM) are related to radiation therapy prognosis. This study assessed whether a convolutional neural network (CNN)-based radiomics model which learned computer tomography (CT) i...
Treatment Outcome Predictive Value of Tests Area Under Curve Radiographic Image Interpretation, Computer-Assisted Adolescent Time Factors ROC Curve Radiosurgery Reproducibility of Results Aged Aged, 80 and over Decision Support Techniques Young Adult Tomography, X-Ray Computed Humans Adult Clinical Decision-Making Neural Networks, Computer Brain Neoplasms Female Machine Learning Male Middle Aged
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