Cargando…

Normalised time-to-peak-distribution curves correlate with cerebral white matter hyperintensities – Could this improve early diagnosis?

Parameter-free assessment of the time-to-peak (TTP) histogram, termed ‘TTP-distribution curve’ (TDC), of dynamic susceptibility contrast-enhanced magnetic resonance imaging (DSC-MRI) was introduced as a robust method to evaluate cerebral perfusion. TDC-assessment works fully automatically without th...

Descripción completa

Detalles Bibliográficos
Autores principales: Nasel, Christian, Boubela, Roland, Kalcher, Klaudius, Moser, Ewald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5256485/
https://www.ncbi.nlm.nih.gov/pubmed/26823469
http://dx.doi.org/10.1177/0271678X16629485
_version_ 1782498722951725056
author Nasel, Christian
Boubela, Roland
Kalcher, Klaudius
Moser, Ewald
author_facet Nasel, Christian
Boubela, Roland
Kalcher, Klaudius
Moser, Ewald
author_sort Nasel, Christian
collection PubMed
description Parameter-free assessment of the time-to-peak (TTP) histogram, termed ‘TTP-distribution curve’ (TDC), of dynamic susceptibility contrast-enhanced magnetic resonance imaging (DSC-MRI) was introduced as a robust method to evaluate cerebral perfusion. TDC-assessment works fully automatically without the need of an arterial input function, thereby providing full comparability between different measurements. In the investigated sample of 106 patients, a strong dependency of TDC on the hemodynamic state of cerebral microvessels and the arterio-venous bolus-transit time [Formula: see text] was demonstrated. Accordingly, TDC-derived [Formula: see text] was 3.3–3.7 s for control patients and 4.4 s for cerebral small vessel disease patients. Measurements of associated bolus spread velocities ν and accelerations [Formula: see text] additionally revealed a direct effect from spin–spin relaxation time T(2)-weighted white matter hyperintensity volume, considered to indicate microangiopathy in cerebral small vessel disease, on the TDC-measurements. This strongly supports the prevailing hypothesis that cerebral small vessel disease directly influences DSC-measurements, where the degree could be estimated from an analysis of TDC. While this may be used to correct DSC-parameters for undesirable effects from cerebral small vessel disease, it could also serve to potentially identify patients at risk for cerebral small vessel disease at an early stage, since a subset of patients without yet significant WHM-volume, but clearly altered hemodynamics in TDC-measurements, was identified in this study.
format Online
Article
Text
id pubmed-5256485
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-52564852017-02-08 Normalised time-to-peak-distribution curves correlate with cerebral white matter hyperintensities – Could this improve early diagnosis? Nasel, Christian Boubela, Roland Kalcher, Klaudius Moser, Ewald J Cereb Blood Flow Metab Original Articles Parameter-free assessment of the time-to-peak (TTP) histogram, termed ‘TTP-distribution curve’ (TDC), of dynamic susceptibility contrast-enhanced magnetic resonance imaging (DSC-MRI) was introduced as a robust method to evaluate cerebral perfusion. TDC-assessment works fully automatically without the need of an arterial input function, thereby providing full comparability between different measurements. In the investigated sample of 106 patients, a strong dependency of TDC on the hemodynamic state of cerebral microvessels and the arterio-venous bolus-transit time [Formula: see text] was demonstrated. Accordingly, TDC-derived [Formula: see text] was 3.3–3.7 s for control patients and 4.4 s for cerebral small vessel disease patients. Measurements of associated bolus spread velocities ν and accelerations [Formula: see text] additionally revealed a direct effect from spin–spin relaxation time T(2)-weighted white matter hyperintensity volume, considered to indicate microangiopathy in cerebral small vessel disease, on the TDC-measurements. This strongly supports the prevailing hypothesis that cerebral small vessel disease directly influences DSC-measurements, where the degree could be estimated from an analysis of TDC. While this may be used to correct DSC-parameters for undesirable effects from cerebral small vessel disease, it could also serve to potentially identify patients at risk for cerebral small vessel disease at an early stage, since a subset of patients without yet significant WHM-volume, but clearly altered hemodynamics in TDC-measurements, was identified in this study. SAGE Publications 2016-01-28 2017-02 /pmc/articles/PMC5256485/ /pubmed/26823469 http://dx.doi.org/10.1177/0271678X16629485 Text en © The Author(s) 2016 http://creativecommons.org/licenses/by-nc/3.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 3.0 License (http://www.creativecommons.org/licenses/by-nc/3.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Nasel, Christian
Boubela, Roland
Kalcher, Klaudius
Moser, Ewald
Normalised time-to-peak-distribution curves correlate with cerebral white matter hyperintensities – Could this improve early diagnosis?
title Normalised time-to-peak-distribution curves correlate with cerebral white matter hyperintensities – Could this improve early diagnosis?
title_full Normalised time-to-peak-distribution curves correlate with cerebral white matter hyperintensities – Could this improve early diagnosis?
title_fullStr Normalised time-to-peak-distribution curves correlate with cerebral white matter hyperintensities – Could this improve early diagnosis?
title_full_unstemmed Normalised time-to-peak-distribution curves correlate with cerebral white matter hyperintensities – Could this improve early diagnosis?
title_short Normalised time-to-peak-distribution curves correlate with cerebral white matter hyperintensities – Could this improve early diagnosis?
title_sort normalised time-to-peak-distribution curves correlate with cerebral white matter hyperintensities – could this improve early diagnosis?
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5256485/
https://www.ncbi.nlm.nih.gov/pubmed/26823469
http://dx.doi.org/10.1177/0271678X16629485
work_keys_str_mv AT naselchristian normalisedtimetopeakdistributioncurvescorrelatewithcerebralwhitematterhyperintensitiescouldthisimproveearlydiagnosis
AT boubelaroland normalisedtimetopeakdistributioncurvescorrelatewithcerebralwhitematterhyperintensitiescouldthisimproveearlydiagnosis
AT kalcherklaudius normalisedtimetopeakdistributioncurvescorrelatewithcerebralwhitematterhyperintensitiescouldthisimproveearlydiagnosis
AT moserewald normalisedtimetopeakdistributioncurvescorrelatewithcerebralwhitematterhyperintensitiescouldthisimproveearlydiagnosis