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Statements

Subject Item
n2:RIV%2F61989592%3A15110%2F13%3A33149367%21RIV15-MSM-15110___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
Recent studies report increased echogenicity of the substantia nigra (SN) in patients with Parkinson's disease (PD) using transcranial sonography (TCS). However, the main limitation to TCS is its dependence on the sonographer's experience. Experimental software for quantitative evaluation of the echogenic SN area was thus developed by us. The aim of this study was to test the reliability of the data using developed B-Mode Assist software in patients with parkinsonism and in healthy volunteers. The SN was imaged from the right temporal bone window in mesencephalic plane using TCS. DICOM images of SN were saved, converted into JPEG format, encoded and processed. Two observers performed 3 automatic evaluations of the SN area (measurements of SN area in each gray scale intensity inside the region of interest) by counting the standard deviation of all 6 measurements using developed software. The average value of all 3 measurements of each observer was used for computing Cohen's kappa coefficient to determine inter-observer correlations. Cohen's kappa coefficients as an intra-observer correlation for observer 1 and observer 2 were counted from the first 2 measurements of both observers. In total, 92 images were evaluated using this software. The mean of the standard deviations was 3.87; Cohen's kappa for intra-observer agreement of two observers were 0.947, and 0.943, resp.; Cohen's kappa for inter-observers agreement was 0.880. The agreement between visual and automatic detection of SN pathology was in 97.8% images. The sensitivity, specificity, positive and negative predictive values of automatic measurement were 100, 96.2, 95.1, 100%, resp. The results show very reliable measurement of SN features using designed application with %22almost perfect%22 inter-observer and intra-observer agreements. Recent studies report increased echogenicity of the substantia nigra (SN) in patients with Parkinson's disease (PD) using transcranial sonography (TCS). However, the main limitation to TCS is its dependence on the sonographer's experience. Experimental software for quantitative evaluation of the echogenic SN area was thus developed by us. The aim of this study was to test the reliability of the data using developed B-Mode Assist software in patients with parkinsonism and in healthy volunteers. The SN was imaged from the right temporal bone window in mesencephalic plane using TCS. DICOM images of SN were saved, converted into JPEG format, encoded and processed. Two observers performed 3 automatic evaluations of the SN area (measurements of SN area in each gray scale intensity inside the region of interest) by counting the standard deviation of all 6 measurements using developed software. The average value of all 3 measurements of each observer was used for computing Cohen's kappa coefficient to determine inter-observer correlations. Cohen's kappa coefficients as an intra-observer correlation for observer 1 and observer 2 were counted from the first 2 measurements of both observers. In total, 92 images were evaluated using this software. The mean of the standard deviations was 3.87; Cohen's kappa for intra-observer agreement of two observers were 0.947, and 0.943, resp.; Cohen's kappa for inter-observers agreement was 0.880. The agreement between visual and automatic detection of SN pathology was in 97.8% images. The sensitivity, specificity, positive and negative predictive values of automatic measurement were 100, 96.2, 95.1, 100%, resp. The results show very reliable measurement of SN features using designed application with %22almost perfect%22 inter-observer and intra-observer agreements.
dcterms:title
A new program for highly reproducible automatic evaluation of the substantia nigra from transcranial sonographic images A new program for highly reproducible automatic evaluation of the substantia nigra from transcranial sonographic images
skos:prefLabel
A new program for highly reproducible automatic evaluation of the substantia nigra from transcranial sonographic images A new program for highly reproducible automatic evaluation of the substantia nigra from transcranial sonographic images
skos:notation
RIV/61989592:15110/13:33149367!RIV15-MSM-15110___
n3:aktivita
n16:S
n3:aktivity
S
n3:cisloPeriodika
4
n3:dodaniDat
n15:2015
n3:domaciTvurceVysledku
n5:1848445 n5:6412637 n5:8576963
n3:druhVysledku
n17:J
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n7:predkladatel
n3:idSjednocenehoVysledku
58837
n3:idVysledku
RIV/61989592:15110/13:33149367
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Parkinson's disease; gray scale intensity; reproducibility; automatic measurement; substantia nigra; transcranial sonography
n3:klicoveSlovo
n4:Parkinson%27s%20disease n4:substantia%20nigra n4:reproducibility n4:gray%20scale%20intensity n4:automatic%20measurement n4:transcranial%20sonography
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[CAA7793B55ED]
n3:nazevZdroje
Biomedical Papers-Olomouc
n3:obor
n6:FP
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
7
n3:rokUplatneniVysledku
n15:2013
n3:svazekPeriodika
158
n3:tvurceVysledku
Jelínková, Monika Bártová, Petra Školoudík, David Soukup, Tomáš Blahuta, Jiří Čermák, Petr Herzig, Roman
n3:wos
000347173200020
s:issn
1213-8118
s:numberOfPages
7
n9:doi
10.5507/bp.2013.029
n8:organizacniJednotka
15110