Diffusion tensor imaging in the characterization of multiple system atrophy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F16%3A43915305" target="_blank" >RIV/00023752:_____/16:43915305 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00064190:_____/16:N0000164 RIV/68407700:21230/16:00301823 RIV/00216208:11110/16:10326899 RIV/00216208:11130/16:10326899 a 4 dalších

Výsledek na webu

<a href="https://www.dovepress.com/diffusion-tensor-imaging-in-the-characterization-of-multiple-system-at-peer-reviewed-article-NDT" target="_blank" >https://www.dovepress.com/diffusion-tensor-imaging-in-the-characterization-of-multiple-system-at-peer-reviewed-article-NDT</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2147/NDT.S109094" target="_blank" >10.2147/NDT.S109094</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Diffusion tensor imaging in the characterization of multiple system atrophy

Popis výsledku v původním jazyce

Purpose: Multiple system atrophy (MSA) is a rare neurodegenerative disease that remains poorly understood, and the diagnosis of MSA continues to be challenging. We endeavored to improve the diagnostic process and understanding of in vivo characteristics of MSA by diffusion tensor imaging (DTI). Materials and methods: Twenty MSA subjects, ten parkinsonian dominant (MSA-P), ten cerebellar dominant (MSA-C), and 20 healthy volunteer subjects were recruited. Fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity maps were processed using tract-based spatial statistics. Diffusion data were additionally evaluated in the basal ganglia. A support vector machine was used to assess diagnostic utility, leave-one-out cross-validation in the evaluation of classification schemes, and receiver operating characteristic analyses to determine cutoff values. Results: We detected widespread changes in the brain white matter of MSA subjects; however, no group-wise differences were found between MSA-C and MSA-P subgroups. Altered DTI metrics in the putamen and middle cerebellar peduncles were associated with a positive parkinsonian and cerebellar phenotype, respectively. Concerning clinical applicability, we achieved high classification performance on mean diffusivity data in the combined bilateral putamen and middle cerebellar peduncle (accuracy 90.3%+-9%, sensitivity 86.5%+-11%, and specificity 99.3%+-4%). Conclusion: DTI in the middle cerebellar peduncle and putamen may be used in the diagnosis of MSA with a high degree of accuracy.

Název v anglickém jazyce

Diffusion tensor imaging in the characterization of multiple system atrophy

Popis výsledku anglicky

Purpose: Multiple system atrophy (MSA) is a rare neurodegenerative disease that remains poorly understood, and the diagnosis of MSA continues to be challenging. We endeavored to improve the diagnostic process and understanding of in vivo characteristics of MSA by diffusion tensor imaging (DTI). Materials and methods: Twenty MSA subjects, ten parkinsonian dominant (MSA-P), ten cerebellar dominant (MSA-C), and 20 healthy volunteer subjects were recruited. Fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity maps were processed using tract-based spatial statistics. Diffusion data were additionally evaluated in the basal ganglia. A support vector machine was used to assess diagnostic utility, leave-one-out cross-validation in the evaluation of classification schemes, and receiver operating characteristic analyses to determine cutoff values. Results: We detected widespread changes in the brain white matter of MSA subjects; however, no group-wise differences were found between MSA-C and MSA-P subgroups. Altered DTI metrics in the putamen and middle cerebellar peduncles were associated with a positive parkinsonian and cerebellar phenotype, respectively. Concerning clinical applicability, we achieved high classification performance on mean diffusivity data in the combined bilateral putamen and middle cerebellar peduncle (accuracy 90.3%+-9%, sensitivity 86.5%+-11%, and specificity 99.3%+-4%). Conclusion: DTI in the middle cerebellar peduncle and putamen may be used in the diagnosis of MSA with a high degree of accuracy.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

FH - Neurologie, neurochirurgie, neurovědy

OECD FORD obor

—

Projekt

<a href="/cs/project/GA16-01781S" target="_blank" >GA16-01781S: Kognitivní prediktory neurodegenerativních onemocnění</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Neuropsychiatric Disease and Treatment

ISSN

1178-2021

e-ISSN

—

Svazek periodika

2016

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

7

Strana od-do

2181-2187

Kód UT WoS článku

000382217200001

EID výsledku v databázi Scopus

2-s2.0-84985940830