2018
DOI: 10.3174/ajnr.a5623
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Value of Quantitative Collateral Scoring on CT Angiography in Patients with Acute Ischemic Stroke

Abstract: Automated quantitative collateral scoring in patients with acute ischemic stroke is a reliable and user-independent measure of the collateral capacity on baseline CTA and has the potential to augment the triage of patients with acute stroke for endovascular therapy.

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Cited by 48 publications
(44 citation statements)
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“…Thus, LVO patients are an optimal population to investigate the effect of leptomeningeal and upstream collateral circulation systems. The currency of good collaterals manifests as having larger salvageable penumbra and permitting longer delays in achieving reperfusion [2,3]. Factors such as age, chronic hypertension, diabetes, blood glucose levels, and systolic blood pressure at presentation influence the integrity of collat-eral circulation [4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…Thus, LVO patients are an optimal population to investigate the effect of leptomeningeal and upstream collateral circulation systems. The currency of good collaterals manifests as having larger salvageable penumbra and permitting longer delays in achieving reperfusion [2,3]. Factors such as age, chronic hypertension, diabetes, blood glucose levels, and systolic blood pressure at presentation influence the integrity of collat-eral circulation [4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…If the ischemic area was compensated by the contralateral cerebral vasculature, the collateral flow as observed on CTA would be greater. (2) Further, the time of CTA acquisition is associated with the concentration of contrast material in the cerebral vessels, which could have influenced the observed collateral flow [14][15][16]. 3As single-phase head CTA captures one snapshot at a set time point, small errors in the scanning time could have also influenced the collateral flow apparent on the images [17].…”
Section: Discussionmentioning
confidence: 99%
“…Validated (semi-) automated quantitative methods to extract information from radiological images like collateral capacity ( 29 ), early ischemic changes ( 30 ), thrombus characteristics ( 10 , 31 ), infarct ( 32 ), and hemorrhage ( 33 ) characteristics are available to determine radiological characteristics of follow up. We are creating a library of vessel geometries based on the intracranial arteries segmented from baseline imaging data.…”
Section: Methodsmentioning
confidence: 99%