2020
DOI: 10.1136/neurintsurg-2020-015966
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Assessment of computed tomography perfusion software in predicting spatial location and volume of infarct in acute ischemic stroke patients: a comparison of Sphere, Vitrea, and RAPID

Abstract: BackgroundCT perfusion (CTP) infarct and penumbra estimations determine the eligibility of patients with acute ischemic stroke (AIS) for endovascular intervention. This study aimed to determine volumetric and spatial agreement of predicted RAPID, Vitrea, and Sphere CTP infarct with follow-up fluid attenuation inversion recovery (FLAIR) MRI infarct.Methods108 consecutive patients with AIS and large vessel occlusion were included in the study between April 2019 and January 2020 . Patients were divided into two g… Show more

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Cited by 54 publications
(51 citation statements)
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“…6 Although CTP is relied upon to assess reperfusion eligibility, multiple CTP software products exist that utilize different perfusion parameters and thresholds for identifying infarct and penumbra tissue. 7,8 The aforementioned perfusion parameters are calculated using arterial input function (AIF) and venous output function (VOF) curves. The AIF and VOF locations are automatically selected within the CTP volume as a feeding artery and a draining vein, respectively.…”
Section: Introductionmentioning
confidence: 99%
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“…6 Although CTP is relied upon to assess reperfusion eligibility, multiple CTP software products exist that utilize different perfusion parameters and thresholds for identifying infarct and penumbra tissue. 7,8 The aforementioned perfusion parameters are calculated using arterial input function (AIF) and venous output function (VOF) curves. The AIF and VOF locations are automatically selected within the CTP volume as a feeding artery and a draining vein, respectively.…”
Section: Introductionmentioning
confidence: 99%
“…9,10 RAPID (iSchemaView, Menlo Park, CA, USA) and Sphere (Olea Medical, La Ciotat, France) CTP software are two commercially available software products that primarily rely on the CBF parameter, but utilize different contralateral hemisphere thresholds to identify infarct. 8,11 Reliance on the CBF parameter can, however, lead to false positive identification of infarct in regions of leukoaraiosis. This decrease in CBF, allowing for the segmentation of infarct, is due to white matter naturally having lower amount of blood flow than gray matter, especially in regions of leukoaraiosis.…”
Section: Introductionmentioning
confidence: 99%
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“…10,11 Recently, Bayesian algorithms have been developed, which are based on a probabilistic approach reliant on neighboring regions of perfusion scans and noise reduction to generate perfusion maps. [12][13][14][15] Calculation differences potentially result in discrepancies in perfusion maps, preventing a standard infarct and penumbra identification protocol from being implemented across all CTP software and vendors. 16 This can be dangerous to patients, as overestimating infarct can lead to exclusion from thrombectomy procedures and underestimating infarct can lead to reperfusion injuries.…”
Section: Introductionmentioning
confidence: 99%