Results 101 to 110 of about 15,524 (240)
Early and Progressive Spinal Cord Atrophy in Spinocerebellar Ataxia Type 1
Abstract Background Spinocerebellar ataxia type 1 (SCA1) is a rare, autosomal dominant neurodegenerative disorder characterized by progressive cerebellar and brainstem degeneration. Previous studies have shown that spinal cord atrophy is also a key aspect of SCA1 neuropathology.
Colette J.M. Reniers +11 more
wiley +1 more source
Extraocular Muscle Volumetry for Assessment of Thyroid Eye Disease [PDF]
In this study we evaluate the diagnostic accuracy of extraocular muscle volumetry in detecting thyroid eye disease and to compare the results with simple measurements of maximal medial rectus (MR ...
Georgios Bontzos, MD, PhD; Efrosini Papadaki, MD, PhD; Michael Mazonakis, PhD; Thomas G. Maris, PhD; Nikolaos G. Tsakalis, MD; Eleni E. Drakonaki, MD, PhD; Efstathios T. Detorakis, MD, PhD
core
ABSTRACT Background Dopa‐responsive dystonia is caused by pathogenic variants in the GCH1 gene. Although its clinical features and reduced penetrance are known, in vivo metabolic and structural alterations in symptomatic (sMC) and asymptomatic mutation carriers (aMC) remain poorly understood.
Jannik Prasuhn +12 more
wiley +1 more source
Abstract Background Differentiating progressive supranuclear palsy (PSP) from Parkinson's disease (PD) can be clinically challenging. In the neuroimaging field, radiomics has emerged as a promising approach to capture subtle microstructural and textural image alterations, improving differential diagnoses.
Chiara Camastra +8 more
wiley +1 more source
A Multi‐Sequence Adversarial Fusion U‐Net for Brain Tumor Image Segmentation
In the field of brain tumor image segmentation, in order to avoid the impact of insufficient number of training samples, the method of fusing multi‐modal MRI information before segmentation is widely used. However, when fusing different modal features, existing methods only add fixed weights to the features of each modality, resulting in insufficient ...
Jie Wang, Jinglu Hu
wiley +1 more source
Artificial intelligence–based rapid brain volumetry substantially improves differential diagnosis in dementia [PDF]
Introduction This study evaluates the clinical value of a deep learning–based artificial intelligence (AI) system that performs rapid brain volumetry with automatic lobe segmentation and age‐ and sex‐adjusted percentile comparisons.
Ling, Wen Xin +10 more
core +4 more sources
Background: In recent years, the profunda artery perforator (PAP) flap has gained recognition as a viable technique in autologous breast reconstruction, demonstrating low donor site morbidity and favorable reconstructive outcomes.
Charalampos Varnava +5 more
doaj +1 more source
Accurate Automated Volumetry of Cartilage of the Knee using Convolutional Neural Networks: Data from the Osteoarthritis Initiative [PDF]
Volumetry of the cartilage of the knee, as needed for the assessment of knee osteoarthritis (KOA), is typically performed in a tedious and subjective process. We present an automated segmentation-based method for the quantification of cartilage volume by
Tack, Alexander, Zachow, Stefan (Dr.)
core
3D‐printed model for resection of positive surgical margins in robot‐assisted prostatectomy
Objectives To improve precision of secondary resection (SR) after positive surgical margin (PSM) detection by frozen section (FS) during nerve‐sparing (NS) robot‐assisted radical prostatectomy (RARP) by employing a personalised three‐dimensional (3D)‐printed prostate model derived from pelvic magnetic resonance imaging (MRI).
Christian Engesser +12 more
wiley +1 more source
Machine learning of dissection photographs and surface scanning for quantitative 3D neuropathology
We present open-source tools for three-dimensional (3D) analysis of photographs of dissected slices of human brains, which are routinely acquired in brain banks but seldom used for quantitative analysis.
Harshvardhan Gazula +25 more
doaj +1 more source

