AIMC Topic: Radiosurgery
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The implementation of artificial intelligence in serial monitoring of post gamma knife vestibular schwannomas: A pilot study.
Clinical imaging
Jul 1, 2025
BACKGROUND: Vestibular schwannomas (VS) are benign tumors that can lead to hearing loss, balance issues, and tinnitus. Gamma Knife Radiosurgery (GKS) is a common treatment for VS, aimed at halting tumor growth and preserving neurological function. Ac...
Validation and Derivation of miRNA-Based Germline Signatures Predicting Radiation Toxicity in Prostate Cancer.
Clinical cancer research : an official journal of the American Association for Cancer Research
Jun 13, 2025
PURPOSE: Although radiotherapy (RT) is one of the primary treatment modalities used in the treatment of cancer, patients often experience toxicity during or after treatment. RT-induced genitourinary (GU) toxicity is a significant survivorship challen...
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).
[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...
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...
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...
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...
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...
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...
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...
Monte Carlo Method
Image Processing, Computer-Assisted
Retrospective Studies
Phantoms, Imaging
Magnetic Resonance Imaging
Humans
Tomography, X-Ray Computed
Organs at Risk
Neural Networks, Computer
Neoplasms
Radiotherapy Planning, Computer-Assisted
Prognosis
Deep Learning
Radiotherapy Dosage
Radiotherapy, Intensity-Modulated
Radiosurgery
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