Perfusion imaging predicts short-term clinical outcome in isolated posterior cerebral artery occlusion stroke.

CBV CT perfusion MR perfusion hypoperfusion intensity ratio isolated posterior cerebral artery occlusions perfusion imaging rCBF

Journal

Journal of neuroimaging : official journal of the American Society of Neuroimaging
ISSN: 1552-6569
Titre abrégé: J Neuroimaging
Pays: United States
ID NLM: 9102705

Informations de publication

Date de publication:
02 Sep 2024
Historique:
revised: 21 08 2024
received: 18 07 2024
accepted: 22 08 2024
medline: 3 9 2024
pubmed: 3 9 2024
entrez: 3 9 2024
Statut: aheadofprint

Résumé

Ischemic strokes due to isolated posterior cerebral artery (PCA) occlusions represent 5% of all strokes but have significant impacts on patients' quality of life, primarily due to visual deficits and thalamic involvement. Current guidelines for acute PCA occlusion management are sparse, and the prognostic value of perfusion imaging parameters remains underexplored. We conducted a retrospective analysis of 32 patients with isolated PCA occlusions treated at Johns Hopkins Medical Institutions between January 2017 and March 2023. Patients underwent pretreatment perfusion imaging, with perfusion parameters analyzed using RAPID software. The primary outcome was short-term clinical outcome as measured by the National Institutes of Health Stroke Scale (NIHSS) at discharge. The median age of the cohort was 70 years, with 34% female and 66% male. Significant correlations were found between NIHSS at discharge and various perfusion parameters, including time-to-maximum (Tmax) >6 seconds (ρ = .55, p = .004), Tmax >8 seconds (ρ = .59, p = .002), Tmax >10 seconds (ρ = .6, p = .001), mismatch volume (ρ = .51, p = .008), and cerebral blood volume (CBV) < 34% (ρ = .59, p = .002). Tmax and CBV volumes significantly correlated with discharge NIHSS with marginal superiority of Tmax >10 seconds and CBV <42% volumes. These findings suggest that CT and MR perfusion imaging can play a crucial role in the acute management of PCA strokes, though larger, standardized studies are needed to validate these results and refine imaging thresholds specific to posterior circulation infarcts.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
Ischemic strokes due to isolated posterior cerebral artery (PCA) occlusions represent 5% of all strokes but have significant impacts on patients' quality of life, primarily due to visual deficits and thalamic involvement. Current guidelines for acute PCA occlusion management are sparse, and the prognostic value of perfusion imaging parameters remains underexplored.
METHODS METHODS
We conducted a retrospective analysis of 32 patients with isolated PCA occlusions treated at Johns Hopkins Medical Institutions between January 2017 and March 2023. Patients underwent pretreatment perfusion imaging, with perfusion parameters analyzed using RAPID software. The primary outcome was short-term clinical outcome as measured by the National Institutes of Health Stroke Scale (NIHSS) at discharge.
RESULTS RESULTS
The median age of the cohort was 70 years, with 34% female and 66% male. Significant correlations were found between NIHSS at discharge and various perfusion parameters, including time-to-maximum (Tmax) >6 seconds (ρ = .55, p = .004), Tmax >8 seconds (ρ = .59, p = .002), Tmax >10 seconds (ρ = .6, p = .001), mismatch volume (ρ = .51, p = .008), and cerebral blood volume (CBV) < 34% (ρ = .59, p = .002).
CONCLUSIONS CONCLUSIONS
Tmax and CBV volumes significantly correlated with discharge NIHSS with marginal superiority of Tmax >10 seconds and CBV <42% volumes. These findings suggest that CT and MR perfusion imaging can play a crucial role in the acute management of PCA strokes, though larger, standardized studies are needed to validate these results and refine imaging thresholds specific to posterior circulation infarcts.

Identifiants

pubmed: 39223766
doi: 10.1111/jon.13235
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 American Society of Neuroimaging.

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Auteurs

Hamza Adel Salim (HA)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.
Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, Massachusetts, USA.

Shenwen Huang (S)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Dhairya A Lakhani (DA)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Janet Mei (J)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Aneri Balar (A)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Basel Musmar (B)

Department of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Baton Rouge, Louisiana, USA.

Nimer Adeeb (N)

Department of Neurosurgery and Interventional Neuroradiology, Louisiana State University, Baton Rouge, Louisiana, USA.

Meisam Hoseinyazdi (M)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Licia Luna (L)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Francis Deng (F)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Nathan Z Hyson (NZ)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Mona Bahouth (M)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Adam A Dmytriw (AA)

Neuroendovascular Program, Massachusetts General Hospital, Harvard University, Boston, Massachusetts, USA.
Neurovascular Centre, Departments of Medical Imaging and Neurosurgery, St. Michael's Hospital, Toronto, Ontario, Canada.

Adrien Guenego (A)

Department of Diagnostic and Interventional Neuroradiology, Erasme University Hospital, Brussels, Belgium.

Gregory W Albers's (GW)

Department of Interventional Neuroradiology, Stanford Medical Center, Palo Alto, California, USA.

Hanzhang Lu (H)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Victor C Urrutia (VC)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Kambiz Nael (K)

David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California, USA.

Elisabeth B Marsh (EB)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Argye E Hillis (AE)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Raf Llinas (R)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Max Wintermark (M)

Department of Neuroradiology, MD Anderson Medical Center, Houston, Texas, USA.

Jeremy J Heit (JJ)

Department of Interventional Neuroradiology, Stanford Medical Center, Palo Alto, California, USA.

Tobias D Faizy (TD)

Department of Radiology, Neuroendovascular Program, Münster University Medical Center, Münster, Germany.

Vivek Yedavalli (V)

Department of Radiology, Division of Neuroradiology, Johns Hopkins Medical Center, Baltimore, Maryland, USA.

Classifications MeSH