Cargando…

Time dependence in diffusion MRI predicts tissue outcome in ischemic stroke patients

PURPOSE: Reperfusion therapy enables effective treatment of ischemic stroke presenting within 4–6 hours. However, tissue progression from ischemia to infarction is variable, and some patients benefit from treatment up until 24 hours. Improved imaging techniques are needed to identify these patients....

Descripción completa

Detalles Bibliográficos
Autores principales: Lampinen, Björn, Lätt, Jimmy, Wasselius, Johan, van Westen, Danielle, Nilsson, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445077/
https://www.ncbi.nlm.nih.gov/pubmed/33755261
http://dx.doi.org/10.1002/mrm.28743
_version_ 1784568579446800384
author Lampinen, Björn
Lätt, Jimmy
Wasselius, Johan
van Westen, Danielle
Nilsson, Markus
author_facet Lampinen, Björn
Lätt, Jimmy
Wasselius, Johan
van Westen, Danielle
Nilsson, Markus
author_sort Lampinen, Björn
collection PubMed
description PURPOSE: Reperfusion therapy enables effective treatment of ischemic stroke presenting within 4–6 hours. However, tissue progression from ischemia to infarction is variable, and some patients benefit from treatment up until 24 hours. Improved imaging techniques are needed to identify these patients. Here, it was hypothesized that time dependence in diffusion MRI may predict tissue outcome in ischemic stroke. METHODS: Diffusion MRI data were acquired with multiple diffusion times in five non-reperfused patients at 2, 9, and 100 days after stroke onset. Maps of “rate of kurtosis change” (k), mean kurtosis, ADC, and fractional anisotropy were derived. The ADC maps defined lesions, normal-appearing tissue, and the lesion tissue that would either be infarcted or remain viable by day 100. Diffusion parameters were compared (1) between lesions and normal-appearing tissue, and (2) between lesion tissue that would be infarcted or remain viable. RESULTS: Positive values of k were observed within stroke lesions on day 2 (P = .001) and on day 9 (P = .023), indicating diffusional exchange. On day 100, high ADC values indicated infarction of 50 ± 20% of the lesion volumes. Tissue infarction was predicted by high k values both on day 2 (P = .026) and on day 9 (P = .046), by low mean kurtosis values on day 2 (P = .043), and by low fractional anisotropy values on day 9 (P = .029), but not by low ADC values. CONCLUSIONS: Diffusion time dependence predicted tissue outcome in ischemic stroke more accurately than the ADC, and may be useful for predicting reperfusion benefit.
format Online
Article
Text
id pubmed-8445077
institution National Center for Biotechnology Information
language English
publishDate 2021
record_format MEDLINE/PubMed
spelling pubmed-84450772021-09-16 Time dependence in diffusion MRI predicts tissue outcome in ischemic stroke patients Lampinen, Björn Lätt, Jimmy Wasselius, Johan van Westen, Danielle Nilsson, Markus Magn Reson Med Article PURPOSE: Reperfusion therapy enables effective treatment of ischemic stroke presenting within 4–6 hours. However, tissue progression from ischemia to infarction is variable, and some patients benefit from treatment up until 24 hours. Improved imaging techniques are needed to identify these patients. Here, it was hypothesized that time dependence in diffusion MRI may predict tissue outcome in ischemic stroke. METHODS: Diffusion MRI data were acquired with multiple diffusion times in five non-reperfused patients at 2, 9, and 100 days after stroke onset. Maps of “rate of kurtosis change” (k), mean kurtosis, ADC, and fractional anisotropy were derived. The ADC maps defined lesions, normal-appearing tissue, and the lesion tissue that would either be infarcted or remain viable by day 100. Diffusion parameters were compared (1) between lesions and normal-appearing tissue, and (2) between lesion tissue that would be infarcted or remain viable. RESULTS: Positive values of k were observed within stroke lesions on day 2 (P = .001) and on day 9 (P = .023), indicating diffusional exchange. On day 100, high ADC values indicated infarction of 50 ± 20% of the lesion volumes. Tissue infarction was predicted by high k values both on day 2 (P = .026) and on day 9 (P = .046), by low mean kurtosis values on day 2 (P = .043), and by low fractional anisotropy values on day 9 (P = .029), but not by low ADC values. CONCLUSIONS: Diffusion time dependence predicted tissue outcome in ischemic stroke more accurately than the ADC, and may be useful for predicting reperfusion benefit. 2021-03-23 2021-08 /pmc/articles/PMC8445077/ /pubmed/33755261 http://dx.doi.org/10.1002/mrm.28743 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Article
Lampinen, Björn
Lätt, Jimmy
Wasselius, Johan
van Westen, Danielle
Nilsson, Markus
Time dependence in diffusion MRI predicts tissue outcome in ischemic stroke patients
title Time dependence in diffusion MRI predicts tissue outcome in ischemic stroke patients
title_full Time dependence in diffusion MRI predicts tissue outcome in ischemic stroke patients
title_fullStr Time dependence in diffusion MRI predicts tissue outcome in ischemic stroke patients
title_full_unstemmed Time dependence in diffusion MRI predicts tissue outcome in ischemic stroke patients
title_short Time dependence in diffusion MRI predicts tissue outcome in ischemic stroke patients
title_sort time dependence in diffusion mri predicts tissue outcome in ischemic stroke patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445077/
https://www.ncbi.nlm.nih.gov/pubmed/33755261
http://dx.doi.org/10.1002/mrm.28743
work_keys_str_mv AT lampinenbjorn timedependenceindiffusionmripredictstissueoutcomeinischemicstrokepatients
AT lattjimmy timedependenceindiffusionmripredictstissueoutcomeinischemicstrokepatients
AT wasseliusjohan timedependenceindiffusionmripredictstissueoutcomeinischemicstrokepatients
AT vanwestendanielle timedependenceindiffusionmripredictstissueoutcomeinischemicstrokepatients
AT nilssonmarkus timedependenceindiffusionmripredictstissueoutcomeinischemicstrokepatients