Evidence map›Paper›PMID 32222652›Full record

ArticleClinical neurology and neurosurgery2020

Mismatch between automated CTP and ASPECTS score in patients with anterior large vessel occlusion.

James E Siegler, Andrew Olsen, Jon Rosenberg, Daniel Cristancho, Johannes Pulst-Korenberg, Lindsay Raab, John H Woo, Steven R Messé

Abstract readComparative Study
In one paragraph

Article in Clinical neurology and neurosurgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

James E SieglerDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States. Electronic address: siegler.james@gmail.com.
Andrew OlsenDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States.
Jon RosenbergDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States.
Daniel CristanchoDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States.
Johannes Pulst-KorenbergDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States.
Lindsay RaabDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States.
John H WooDepartment of Radiology, Division of Neuroradiology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States.
Steven R MesséDepartment of Neurology, Hospital of the University of Pennsylvania, Philadelphia PA, 19104, United States.

Funding

The Philadelphia Regional Stroke Trials Network Coordinating Center (PRSTNCC)U24NS107224 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Brett Lee Cucchiara · 2018 to 2026
$3.2M
The Philadelphia Regional Stroke Trials Network coordinating Center (PRSTNCC)U10NS086474 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI KASNER, SCOTT E · 2013 to 2017
$1.9M
NINDS NIH HHS U10 NS086474NINDS NIH HHS U24 NS107224
6 · The paper itself

Abstract

objectivesTo evaluate the relationship between delay to computed tomography perfusion and estimated core infarct volumes in patients with large vessel occlusion (LVO). PATIENTS AND

methodsA retrospective registry of consecutive adults >18 years old who underwent CTP in clinical practice for suspected LVO within 24 h of LKN at 3 academic hospitals was queried (06/2017 - 12/2017). CT and CTP findings were compared over time as a continuous variable, and dichotomized by ≤6 h or 6-24 h from LKN.

resultsOf 410 screened patients, 75 had LVO, of whom 60 (14.6 %) met inclusion criteria (median age 78y [IQR 64-84], 36 were female [60 %]), and 39 (65.0 %) underwent thrombectomy. Thirty (50 %) presented in the extended window (6-24 h) and had lower ASPECTS scores compared to patients in the early window (median 7 vs. 9, p < 0.01). Perfusion core (rCBF <30 %) volumes were similar (median 8 vs. 25, p = 0.10). After adjustment for age, NIHSS, and thrombolysis, there was a trend for lower ASPECTS for every hour after LKN (proportional OR 0.92, 95 %CI 0.84-1.00, p = 0.06), but no change in perfusion core (p = 0.37) or T

conclusionAs time progresses in anterior LVO, the unenhanced CT is more sensitive than CTP for detecting irreversibly damaged tissue. These results underscore the importance of carefully reviewing the unenhanced and perfusion CT when considering a patient for thrombectomy.

Indexed as

AgedAged, 80 and overAge FactorsAutomationBrain IschemiaCerebral InfarctionFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedPerfusion ImagingRegistriesRetrospective StudiesThrombectomyTomography, X-Ray ComputedAcute strokeASPECTSCT scanPenumbraPerfusion imagingThrombectomy

Identifiers

PMID32222652
PMCPMC7292739

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.