Publications by authors named "E L Pogosbekyan"
In our recent research, we have effectively demonstrated the feasibility of classifying magnetic resonance images (MRI) of glial tumors into four histological types utilizing standardized volume of interest (VOI), radiomics and machine learning. This research aims to determine the reproducibility of our approach when the locations of VOI are changed. We were able to demonstrate high reproducibility of ML results when the same feature selection methodology was employed across different VOIs.
View Article and Find Full Text PDF[Focal cortical dysplasia: visual assessment of MRI and MR morphometry data].
Zh Vopr Neirokhir Im N N Burdenko
June 2024
Article Synopsis
- The study investigates how effective MR morphometry is in localizing focal cortical dysplasias (FCD) in children with drug-resistant epilepsy after surgery.
- It involved 13 children whose MR data was independently assessed by three radiologists, comparing traditional visual analysis with MR morphometry.
- Results showed that MR morphometry detected FCD more accurately and identified signs like gray-white matter blurring that were often overlooked by radiologists.
Non-invasive diagnosis of brain gliomas by histological type using neuroradiomics in standardized regions of interest: towards digital biopsy.
Zh Vopr Neirokhir Im N N Burdenko
December 2023
Unlabelled: The future of contemporary neuroimaging does not solely lie in novel image-capturing technologies, but also in better methods for extraction of useful information from these images. Scientists see great promise in radiomics, i.e.
View Article and Find Full Text PDFRadiomics Enhances Diagnostic and Prognostic Value of Diffusion Kurtosis Imaging in Diffuse Axonal Injury.
Stud Health Technol Inform
October 2023
The aim of our study was to investigate the potential of advanced radiomics in analyzing diffusion kurtosis MRI (DKI) to increase the informativeness of DKI in diffuse axonal injury (DAI). We hypothesized that DKI radiomic features could be used to detect microstructural brain injury and predict outcomes in DAI. The study enrolled 31 patients with DAI (mean age 31.
View Article and Find Full Text PDF[Periventricular changes following hydrocephalus: quantitative MR-based assessment of tissue characteristics].
Zh Vopr Neirokhir Im N N Burdenko
August 2022
Objective: To study tissue characteristics of periventricular white matter in patients with open hydrocephalus using DWI MRI and their correlations with CSF flow parameters.
Material And Methods: MRI was performed in 55 patients (35 women and 20 men) with open normal pressure hydrocephalus, as well as 16 patients with malignant occlusive hydrocephalus and interstitial edema (control group). We determined the correlations between severity of hydrocephalus, periventricular lesions and CSF flow parameters considering MR data.