Literature DB >> 24569815

Increasing use of computed tomographic perfusion and computed tomographic angiograms in acute ischemic stroke from 2006 to 2010.

Achala Vagal1, Karthikeyan Meganathan, Dawn O Kleindorfer, Opeolu Adeoye, Richard Hornung, Pooja Khatri.   

Abstract

BACKGROUND AND
PURPOSE: Our objective was to study nationwide utilization trends of computed tomographic (CT) angiogram (CTA) and CT perfusion (CTP) in acute ischemic stroke and particularly in the context of use of reperfusion therapies.
METHODS: We reviewed the Premier Perspective Database for ischemic stroke-related hospitalizations of adult patients during a 5-year period, 2006 to 2010. Use of multimodal CT-based imaging and reperfusion therapies was determined through the procedure and billing codes. Logistic regression was used to identify predictors of utilization of imaging studies and reperfusion treatments.
RESULTS: An increasing proportion of ischemic strokes received CTA each year: 3.8% in 2006, 5.6% in 2007, 6.5% in 2008, 7.5% in 2009, and 9.1% in 2010 (P<0.0001). The proportion of acute strokes that were imaged with CTP imaging also increased each year: 0.05% in 2006, 0.05% in 2007, 0.9% in 2008, 2.2% in 2009, and 2.9% in 2010 (P<0.0001). Reperfusion treatment was more common among those who were imaged with CTA (13.0%) and CTP (17.6%) compared with those with CT head alone (4.0%; P<0.0001). Specifically, higher rates of recombinant tissue-type plasminogen activator were observed in CTA (10.2%) and CTP (11.4%) compared with those with CT head alone (3.8%; P<0.0001). Similarly, higher rates of mechanical embolectomy were observed in CTA (2.8%) and CTP (6.3%) compared with those with CT head alone (0.2%; P<0.0001).
CONCLUSIONS: There was a marked increase in the rate of CTA and CTP studies in setting of acute ischemic stroke from 2006 to 2010, and both modalities were associated with increased reperfusion therapy use.

Entities:  

Keywords:  perfusion imaging; reperfusion; utilization

Mesh:

Substances:

Year:  2014        PMID: 24569815     DOI: 10.1161/STROKEAHA.113.004332

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  9 in total

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Authors:  Louisa von Baumgarten; Kolja M Thierfelder; Sebastian E Beyer; Alena B Baumann; Christine Bollwein; Hendrik Janssen; Maximilian F Reiser; Andreas Straube; Wieland H Sommer
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2.  Utilization of Emergent Neuroimaging for Thrombolysis-Eligible Stroke Patients.

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Journal:  J Neuroimaging       Date:  2016-06-14       Impact factor: 2.486

3.  Updated Trends, Disparities, and Clinical Impact of Neuroimaging Utilization in Ischemic Stroke in the Medicare Population: 2012 to 2019.

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5.  Validity of Diagnostic Codes for Acute Stroke in Administrative Databases: A Systematic Review.

Authors:  Natalie McCormick; Vidula Bhole; Diane Lacaille; J Antonio Avina-Zubieta
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6.  Computed tomography perfusion and computed tomography angiography for prediction of clinical outcomes in ischemic stroke patients after thrombolysis.

Authors:  Jia-Wei Pan; Xiang-Rong Yu; Shu-Yi Zhou; Jian-Hong Wang; Jun Zhang; Dao-Ying Geng; Tian-Yu Zhang; Xin Cheng; Yi-Feng Ling; Qiang Dong
Journal:  Neural Regen Res       Date:  2017-01       Impact factor: 5.135

7.  Arterial Obstruction on Computed Tomographic or Magnetic Resonance Angiography and Response to Intravenous Thrombolytics in Ischemic Stroke.

Authors:  Grant Mair; Rüdiger von Kummer; Alessandro Adami; Philip M White; Matthew E Adams; Bernard Yan; Andrew M Demchuk; Andrew J Farrall; Robin J Sellar; Eleni Sakka; Jeb Palmer; David Perry; Richard I Lindley; Peter A G Sandercock; Joanna M Wardlaw
Journal:  Stroke       Date:  2016-12-22       Impact factor: 7.914

8.  Hyperdense Artery Sign in Patients With Acute Ischemic Stroke-Automated Detection With Artificial Intelligence-Driven Software.

Authors:  Charlotte Sabine Weyland; Panagiotis Papanagiotou; Niclas Schmitt; Olivier Joly; Pau Bellot; Yahia Mokli; Peter Arthur Ringleb; A Kastrup; Markus A Möhlenbruch; Martin Bendszus; Simon Nagel; Christian Herweh
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9.  Identification of Hospital Cardiac Services for Acute Myocardial Infarction Using Individual Patient Discharge Data.

Authors:  Tiffany E Chang; Harlan M Krumholz; Shu-Xia Li; John Martin; Isuru Ranasinghe
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  9 in total

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