Extended perfusion protocol for MS lesion quantification

This study aims to examine a time-extended dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) protocol and report a comparative study with three different pharmacokinetic (PK) models, for accurate determination of subtle blood–brain barrier (BBB) disruption in patients with multiple scle...

Full description

Bibliographic Details
Main Authors: Kontopodis Eleftherios, Marias Kostas, Manikis Georgios C., Nikiforaki Katerina, Venianaki Maria, Maris Thomas G., Mastorodemos Vasileios, Papadakis Georgios Z., Papadaki Efrosini
Format: Article
Language:English
Published: De Gruyter 2020-06-01
Series:Open Medicine
Subjects:
ms
Online Access:https://doi.org/10.1515/med-2020-0100
id doaj-00cb3a0ea8d04a02b54ba9661026a6b9
record_format Article
spelling doaj-00cb3a0ea8d04a02b54ba9661026a6b92021-10-02T17:50:26ZengDe GruyterOpen Medicine2391-54632020-06-0115152053010.1515/med-2020-0100med-2020-0100Extended perfusion protocol for MS lesion quantificationKontopodis Eleftherios0Marias Kostas1Manikis Georgios C.2Nikiforaki Katerina3Venianaki Maria4Maris Thomas G.5Mastorodemos Vasileios6Papadakis Georgios Z.7Papadaki Efrosini8Foundation for Research and Technology – Hellas, Institute of Computer Science, Computational Bio-Medicine Laboratory, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, GreeceTechnological Educational Institute of Crete, Department of Informatics Engineering, Heraklion, Crete, Estavromenos, TK 71410, GreeceFoundation for Research and Technology – Hellas, Institute of Computer Science, Computational Bio-Medicine Laboratory, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, GreeceFoundation for Research and Technology – Hellas, Institute of Computer Science, Computational Bio-Medicine Laboratory, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, GreeceScience and Technology Park of Crete, Gnosis Data Analysis, N. Plastira 100, Vassilika Vouton, GR-700 13, Heraklion, GreeceFoundation for Research and Technology – Hellas, Institute of Computer Science, Computational Bio-Medicine Laboratory, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, GreeceDepartment of Neurology, Medical School, University of Crete, P. O. Box 2208, Heraklion, Crete, GreeceFoundation for Research and Technology – Hellas, Institute of Computer Science, Computational Bio-Medicine Laboratory, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, GreeceFoundation for Research and Technology – Hellas, Institute of Computer Science, Computational Bio-Medicine Laboratory, N. Plastira 100, Vassilika Vouton, GR-700 13 Heraklion, Crete, GreeceThis study aims to examine a time-extended dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) protocol and report a comparative study with three different pharmacokinetic (PK) models, for accurate determination of subtle blood–brain barrier (BBB) disruption in patients with multiple sclerosis (MS). This time-extended DCE-MRI perfusion protocol, called Snaps, was applied on 24 active demyelinating lesions of 12 MS patients. Statistical analysis was performed for both protocols through three different PK models. The Snaps protocol achieved triple the window time of perfusion observation by extending the magnetic resonance acquisition time by less than 2 min on average for all patients. In addition, the statistical analysis in terms of adj-R2 goodness of fit demonstrated that the Snaps protocol outperformed the conventional DCE-MRI protocol by detecting 49% more pixels on average. The exclusive pixels identified from the Snaps protocol lie in the low ktrans range, potentially reflecting areas with subtle BBB disruption. Finally, the extended Tofts model was found to have the highest fitting accuracy for both analyzed protocols. The previously proposed time-extended DCE protocol, called Snaps, provides additional temporal perfusion information at the expense of a minimal extension of the conventional DCE acquisition time.https://doi.org/10.1515/med-2020-0100dce-mriperfusion protocolmsactive demyelinating lesions
collection DOAJ
language English
format Article
sources DOAJ
author Kontopodis Eleftherios
Marias Kostas
Manikis Georgios C.
Nikiforaki Katerina
Venianaki Maria
Maris Thomas G.
Mastorodemos Vasileios
Papadakis Georgios Z.
Papadaki Efrosini
spellingShingle Kontopodis Eleftherios
Marias Kostas
Manikis Georgios C.
Nikiforaki Katerina
Venianaki Maria
Maris Thomas G.
Mastorodemos Vasileios
Papadakis Georgios Z.
Papadaki Efrosini
Extended perfusion protocol for MS lesion quantification
Open Medicine
dce-mri
perfusion protocol
ms
active demyelinating lesions
author_facet Kontopodis Eleftherios
Marias Kostas
Manikis Georgios C.
Nikiforaki Katerina
Venianaki Maria
Maris Thomas G.
Mastorodemos Vasileios
Papadakis Georgios Z.
Papadaki Efrosini
author_sort Kontopodis Eleftherios
title Extended perfusion protocol for MS lesion quantification
title_short Extended perfusion protocol for MS lesion quantification
title_full Extended perfusion protocol for MS lesion quantification
title_fullStr Extended perfusion protocol for MS lesion quantification
title_full_unstemmed Extended perfusion protocol for MS lesion quantification
title_sort extended perfusion protocol for ms lesion quantification
publisher De Gruyter
series Open Medicine
issn 2391-5463
publishDate 2020-06-01
description This study aims to examine a time-extended dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) protocol and report a comparative study with three different pharmacokinetic (PK) models, for accurate determination of subtle blood–brain barrier (BBB) disruption in patients with multiple sclerosis (MS). This time-extended DCE-MRI perfusion protocol, called Snaps, was applied on 24 active demyelinating lesions of 12 MS patients. Statistical analysis was performed for both protocols through three different PK models. The Snaps protocol achieved triple the window time of perfusion observation by extending the magnetic resonance acquisition time by less than 2 min on average for all patients. In addition, the statistical analysis in terms of adj-R2 goodness of fit demonstrated that the Snaps protocol outperformed the conventional DCE-MRI protocol by detecting 49% more pixels on average. The exclusive pixels identified from the Snaps protocol lie in the low ktrans range, potentially reflecting areas with subtle BBB disruption. Finally, the extended Tofts model was found to have the highest fitting accuracy for both analyzed protocols. The previously proposed time-extended DCE protocol, called Snaps, provides additional temporal perfusion information at the expense of a minimal extension of the conventional DCE acquisition time.
topic dce-mri
perfusion protocol
ms
active demyelinating lesions
url https://doi.org/10.1515/med-2020-0100
work_keys_str_mv AT kontopodiseleftherios extendedperfusionprotocolformslesionquantification
AT mariaskostas extendedperfusionprotocolformslesionquantification
AT manikisgeorgiosc extendedperfusionprotocolformslesionquantification
AT nikiforakikaterina extendedperfusionprotocolformslesionquantification
AT venianakimaria extendedperfusionprotocolformslesionquantification
AT maristhomasg extendedperfusionprotocolformslesionquantification
AT mastorodemosvasileios extendedperfusionprotocolformslesionquantification
AT papadakisgeorgiosz extendedperfusionprotocolformslesionquantification
AT papadakiefrosini extendedperfusionprotocolformslesionquantification
_version_ 1716850359592288256