Estimating Perfusion Deficits in Acute Stroke Patients Without Perfusion Imaging.


Journal

Stroke
ISSN: 1524-4628
Titre abrégé: Stroke
Pays: United States
ID NLM: 0235266

Informations de publication

Date de publication:
11 2022
Historique:
pubmed: 23 7 2022
medline: 27 10 2022
entrez: 22 7 2022
Statut: ppublish

Résumé

Perfusion weighted imaging (PWI) is critical for determining whether stroke patients presenting in an extended time window are candidates for mechanical thrombectomy. However, PWI is not always available. Fluid-attenuated inversion recovery hyperintense vessels (FHVs) are seen in patients with a PWI lesion. We investigated whether a scale measuring the extent FHV could serve as a surrogate for PWI to determine eligibility for thrombectomy. The National Institutes of Health (NIH) FHV score was developed to quantify the burden of FHV and applied to magnetic resonance imaging scans of stroke patients with fluid-attenuated inversion recovery and perfusion imaging. The NIH-FHV was combined with the diffusion weighted image volume to estimate the diffusion-perfusion mismatch ratio. Linear regression was used to compare PWI volumes and mismatch ratios with estimates from the NIH-FHV score. Receiver operating characteristic analysis was used to test the ability of the NIH-FHV score to identify a significant mismatch. There were 101 patients included in the analysis, of whom 78% had a perfusion deficit detected on PWI with a mean lesion volume of 47 (±59) mL. The NIH-FHV score was strongly associated with the PWI lesion volume ( The NIH-FHV score provides an estimate of the PWI lesion volume and, when combined with diffusion weighted imaging, may be helpful when trying to determine whether there is a clinically relevant diffusion-perfusion mismatch in situations where perfusion imaging is not available. Further studies are needed to validate this approach.

Sections du résumé

BACKGROUND
Perfusion weighted imaging (PWI) is critical for determining whether stroke patients presenting in an extended time window are candidates for mechanical thrombectomy. However, PWI is not always available. Fluid-attenuated inversion recovery hyperintense vessels (FHVs) are seen in patients with a PWI lesion. We investigated whether a scale measuring the extent FHV could serve as a surrogate for PWI to determine eligibility for thrombectomy.
METHODS
The National Institutes of Health (NIH) FHV score was developed to quantify the burden of FHV and applied to magnetic resonance imaging scans of stroke patients with fluid-attenuated inversion recovery and perfusion imaging. The NIH-FHV was combined with the diffusion weighted image volume to estimate the diffusion-perfusion mismatch ratio. Linear regression was used to compare PWI volumes and mismatch ratios with estimates from the NIH-FHV score. Receiver operating characteristic analysis was used to test the ability of the NIH-FHV score to identify a significant mismatch.
RESULTS
There were 101 patients included in the analysis, of whom 78% had a perfusion deficit detected on PWI with a mean lesion volume of 47 (±59) mL. The NIH-FHV score was strongly associated with the PWI lesion volume (
CONCLUSIONS
The NIH-FHV score provides an estimate of the PWI lesion volume and, when combined with diffusion weighted imaging, may be helpful when trying to determine whether there is a clinically relevant diffusion-perfusion mismatch in situations where perfusion imaging is not available. Further studies are needed to validate this approach.

Identifiants

pubmed: 35866426
doi: 10.1161/STROKEAHA.121.038101
pmc: PMC9613522
mid: NIHMS1822064
doi:

Types de publication

Journal Article Research Support, N.I.H., Intramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

3439-3445

Subventions

Organisme : Intramural NIH HHS
ID : ZIA NS003151
Pays : United States

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Auteurs

Dennys Reyes (D)

Intramural Stroke Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (D.R., A.N.S., E.H., J.K.L., A.W.H., Z.N., M.L., L.L.L., R.L.).

Alexis N Simpkins (AN)

Intramural Stroke Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (D.R., A.N.S., E.H., J.K.L., A.W.H., Z.N., M.L., L.L.L., R.L.).

Emi Hitomi (E)

Intramural Stroke Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (D.R., A.N.S., E.H., J.K.L., A.W.H., Z.N., M.L., L.L.L., R.L.).

John K Lynch (JK)

Intramural Stroke Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (D.R., A.N.S., E.H., J.K.L., A.W.H., Z.N., M.L., L.L.L., R.L.).

Amie W Hsia (AW)

Intramural Stroke Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (D.R., A.N.S., E.H., J.K.L., A.W.H., Z.N., M.L., L.L.L., R.L.).
Department of Neurology, MedStar Washington Hospital Center, Washington, DC (A.W.H.).

Zurab Nadareishvili (Z)

Intramural Stroke Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (D.R., A.N.S., E.H., J.K.L., A.W.H., Z.N., M.L., L.L.L., R.L.).
Department of Neurology, George Washington University (Z.N.).

Marie Luby (M)

Intramural Stroke Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (D.R., A.N.S., E.H., J.K.L., A.W.H., Z.N., M.L., L.L.L., R.L.).

Lawrence L Latour (LL)

Intramural Stroke Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (D.R., A.N.S., E.H., J.K.L., A.W.H., Z.N., M.L., L.L.L., R.L.).

Richard Leigh (R)

Intramural Stroke Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD (D.R., A.N.S., E.H., J.K.L., A.W.H., Z.N., M.L., L.L.L., R.L.).
Department of Neurology, Johns Hopkins University, Baltimore, MD (R.L.).

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Classifications MeSH