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Digitized Image Analysis of Insula Echogenicity Detected by TCS-MR Fusion Imaging in Wilson's and Early-Onset Parkinson's Diseases
D. Školoudík, J. Mašková, P. Dušek, J. Blahuta, T. Soukup, A. Burgetová, P. Bártová
Jazyk angličtina Země Velká Británie
Typ dokumentu srovnávací studie, časopisecké články, práce podpořená grantem
Grantová podpora
NV15-25602A
MZ0
CEP - Centrální evidence projektů
- MeSH
- dospělí MeSH
- hepatolentikulární degenerace diagnostické zobrazování MeSH
- lidé středního věku MeSH
- lidé MeSH
- magnetická rezonanční tomografie * MeSH
- mozek diagnostické zobrazování MeSH
- mozková kůra diagnostické zobrazování MeSH
- multimodální zobrazování MeSH
- Parkinsonova nemoc diagnostické zobrazování MeSH
- ultrasonografie dopplerovská transkraniální * MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- srovnávací studie MeSH
Transcranial sonography (TCS) can reveal pathology in brain structures including insula. This study compared insula echogenicity among 22 patients with Wilson's disease (WD), 21 patients with early-onset Parkinson's disease (EO-PD) and 24 healthy patients. Echogenicity of predefined brain structures (insula, lentiform nucleus, caudate nucleus, substantia nigra and raphe nuclei) was evaluated using digitized analysis of TCS fusion imaging with magnetic resonance. Cortical, subcortical and cerebellar atrophy and ventricle diameters were determined from magnetic resonance images. The mean echogenicity index of insula did not differ between males and females (p = 0.92), but the echogenicity of insula was higher in patients with WD than in patients with EO-PD and healthy patients (p < 0.05). The substantia nigra echogenicity was higher in patients with EO-PD, and lentiform nucleus echogenicity was higher in patients with WD (p < 0.05). The echogenicity of insula correlated with lentiform nucleus echogenicity (r = 0.75) but not with age (r = -0.14), disease duration (r = -0.36), symptom severity (r = 0.28), cortical (r = 0.11) nor subcortical (r = 0.05) atrophy.
Citace poskytuje Crossref.org
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- $a Školoudík, David $u Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic; Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic. Electronic address: skoloudik@hotmail.com
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- $a Digitized Image Analysis of Insula Echogenicity Detected by TCS-MR Fusion Imaging in Wilson's and Early-Onset Parkinson's Diseases / $c D. Školoudík, J. Mašková, P. Dušek, J. Blahuta, T. Soukup, A. Burgetová, P. Bártová
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- $a Transcranial sonography (TCS) can reveal pathology in brain structures including insula. This study compared insula echogenicity among 22 patients with Wilson's disease (WD), 21 patients with early-onset Parkinson's disease (EO-PD) and 24 healthy patients. Echogenicity of predefined brain structures (insula, lentiform nucleus, caudate nucleus, substantia nigra and raphe nuclei) was evaluated using digitized analysis of TCS fusion imaging with magnetic resonance. Cortical, subcortical and cerebellar atrophy and ventricle diameters were determined from magnetic resonance images. The mean echogenicity index of insula did not differ between males and females (p = 0.92), but the echogenicity of insula was higher in patients with WD than in patients with EO-PD and healthy patients (p < 0.05). The substantia nigra echogenicity was higher in patients with EO-PD, and lentiform nucleus echogenicity was higher in patients with WD (p < 0.05). The echogenicity of insula correlated with lentiform nucleus echogenicity (r = 0.75) but not with age (r = -0.14), disease duration (r = -0.36), symptom severity (r = 0.28), cortical (r = 0.11) nor subcortical (r = 0.05) atrophy.
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- $a Mašková, Jana $u Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
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- $a Blahuta, Jiří $u Institute of Computer Science, Faculty of Philosophy and Science, Silesian University in Opava, Opava, Czech Republic
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