Literature DB >> 14671249

Influence of arterial input function on hypoperfusion volumes measured with perfusion-weighted imaging.

Vincent N Thijs1, Diederik M Somford, Roland Bammer, Wim Robberecht, Michael E Moseley, Gregory W Albers.   

Abstract

BACKGROUND AND
PURPOSE: The arterial input function (AIF) is critical in determining hemodynamic parameters quantitatively with bolus-tracking MRI. We studied the effect of varying the location of measurement of AIF on the volume of hypoperfusion. We compared the volumes of hypoperfusion obtained with different AIFs with the final ischemic lesion volume.
METHODS: We included 13 patients with acute cerebral ischemia in the anterior circulation who underwent diffusion- (DWI) and perfusion (PWI)-weighted imaging within 8 hours after symptom onset and exhibited DWI lesion expansion between baseline and follow-up. AIF was measured at 4 locations: near both middle cerebral arteries (MCAs), in MCA branches adjacent to the largest DWI abnormality, and at the same level on the opposite hemisphere. Hypoperfusion lesion volumes were compared with the DWI volume at follow-up.
RESULTS: Large variations in PWI lesion size were found with different AIF locations. The largest PWI lesions were found when AIF was measured at the contralateral MCA. Smaller PWI lesions were found when AIF was measured in the other locations. There was no significant difference between PWI lesion area at baseline and follow-up DWI lesion when AIF was measured at the contralateral MCA. The other PWI lesions significantly underestimated follow-up DWI lesion size.
CONCLUSIONS: AIF is an important determinant of the size of hypoperfusion lesions measured with PWI. PWI lesion volumes determined with AIF from the contralateral MCA are associated with follow-up lesion volume.

Entities:  

Mesh:

Year:  2003        PMID: 14671249     DOI: 10.1161/01.STR.0000106136.15163.73

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


  23 in total

1.  ASFNR recommendations for clinical performance of MR dynamic susceptibility contrast perfusion imaging of the brain.

Authors:  K Welker; J Boxerman; A Kalnin; T Kaufmann; M Shiroishi; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-23       Impact factor: 3.825

Review 2.  Absolute quantification of perfusion using dynamic susceptibility contrast MRI: pitfalls and possibilities.

Authors:  Linda Knutsson; Freddy Ståhlberg; Ronnie Wirestam
Journal:  MAGMA       Date:  2009-12-04       Impact factor: 2.310

3.  Large deep white matter lesions may predict futile recanalization in endovascular therapy for acute ischemic stroke.

Authors:  Yohei Tateishi; Dolora Wisco; Junya Aoki; Pravin George; Irene Katzan; Gabor Toth; Ferdinand Hui; Muhammad S Hussain; Ken Uchino
Journal:  Interv Neurol       Date:  2015-01

Review 4.  Imaging the physiological evolution of the ischemic penumbra in acute ischemic stroke.

Authors:  Richard Leigh; Linda Knutsson; Jinyuan Zhou; Peter Cm van Zijl
Journal:  J Cereb Blood Flow Metab       Date:  2017-03-27       Impact factor: 6.200

5.  Statistical properties of cerebral CT perfusion imaging systems. Part I. Cerebral blood volume maps generated from nondeconvolution-based systems.

Authors:  Ke Li; Charles M Strother; Guang-Hong Chen
Journal:  Med Phys       Date:  2019-09-20       Impact factor: 4.071

6.  Relationships between infarct growth, clinical outcome, and early recanalization in diffusion and perfusion imaging for understanding stroke evolution (DEFUSE).

Authors:  Jean-Marc Olivot; Michael Mlynash; Vincent N Thijs; Stephanie Kemp; Maarten G Lansberg; Lawrence Wechsler; Gottfried Schlaug; Roland Bammer; Michael P Marks; Gregory W Albers
Journal:  Stroke       Date:  2008-06-19       Impact factor: 7.914

Review 7.  Acute stroke magnetic resonance imaging: current status and future perspective.

Authors:  Stephan P Kloska; Max Wintermark; Tobias Engelhorn; Jochen B Fiebach
Journal:  Neuroradiology       Date:  2009-12-05       Impact factor: 2.804

8.  Evaluation of the clinical-diffusion and perfusion-diffusion mismatch models in DEFUSE.

Authors:  Maarten G Lansberg; Vincent N Thijs; Scott Hamilton; Gottfried Schlaug; Roland Bammer; Stephanie Kemp; Gregory W Albers
Journal:  Stroke       Date:  2007-05-10       Impact factor: 7.914

9.  Perfusion imaging of the right perisylvian neural network in acute spatial neglect.

Authors:  Regine Zopf; Monika Fruhmann Berger; Uwe Klose; Hans-Otto Karnath
Journal:  Front Hum Neurosci       Date:  2009-08-03       Impact factor: 3.169

10.  Perfusion imaging in Pusher syndrome to investigate the neural substrates involved in controlling upright body position.

Authors:  Luca Francesco Ticini; Uwe Klose; Thomas Nägele; Hans-Otto Karnath
Journal:  PLoS One       Date:  2009-05-29       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.