Literature DB >> 23074258

Quantitative measurement of brain perfusion with intravoxel incoherent motion MR imaging.

Christian Federau1, Philippe Maeder, Kieran O'Brien, Patrick Browaeys, Reto Meuli, Patric Hagmann.   

Abstract

PURPOSE: To evaluate the sensitivity of the perfusion parameters derived from Intravoxel Incoherent Motion (IVIM) MR imaging to hypercapnia-induced vasodilatation and hyperoxygenation-induced vasoconstriction in the human brain.
MATERIALS AND METHODS: This study was approved by the local ethics committee and informed consent was obtained from all participants. Images were acquired with a standard pulsed-gradient spin-echo sequence (Stejskal-Tanner) in a clinical 3-T system by using 16 b values ranging from 0 to 900 sec/mm(2). Seven healthy volunteers were examined while they inhaled four different gas mixtures known to modify brain perfusion (pure oxygen, ambient air, 5% CO(2) in ambient air, and 8% CO(2) in ambient air). Diffusion coefficient (D), pseudodiffusion coefficient (D*), perfusion fraction (f), and blood flow-related parameter (fD*) maps were calculated on the basis of the IVIM biexponential model, and the parametric maps were compared among the four different gas mixtures. Paired, one-tailed Student t tests were performed to assess for statistically significant differences.
RESULTS: Signal decay curves were biexponential in the brain parenchyma of all volunteers. When compared with inhaled ambient air, the IVIM perfusion parameters D*, f, and fD* increased as the concentration of inhaled CO(2) was increased (for the entire brain, P = .01 for f, D*, and fD* for CO(2) 5%; P = .02 for f, and P = .01 for D* and fD* for CO(2) 8%), and a trend toward a reduction was observed when participants inhaled pure oxygen (although P > .05). D remained globally stable.
CONCLUSION: The IVIM perfusion parameters were reactive to hyperoxygenation-induced vasoconstriction and hypercapnia-induced vasodilatation. Accordingly, IVIM imaging was found to be a valid and promising method to quantify brain perfusion in humans. © RSNA, 2012.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 23074258     DOI: 10.1148/radiol.12120584

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  54 in total

1.  Nasopharyngeal carcinoma: comparison of diffusion and perfusion characteristics between different tumour stages using intravoxel incoherent motion MR imaging.

Authors:  Vincent Lai; Xiao Li; Victor Ho Fun Lee; Ka On Lam; Daniel Yee Tak Fong; Bingsheng Huang; Queenie Chan; Pek Lan Khong
Journal:  Eur Radiol       Date:  2013-08-29       Impact factor: 5.315

2.  Intravoxel incoherent motion MR imaging: comparison of diffusion and perfusion characteristics between nasopharyngeal carcinoma and post-chemoradiation fibrosis.

Authors:  Vincent Lai; Xiao Li; Victor Ho Fun Lee; Ka On Lam; Queenie Chan; Pek Lan Khong
Journal:  Eur Radiol       Date:  2013-05-31       Impact factor: 5.315

3.  Histogram analysis of intravoxel incoherent motion for differentiating recurrent tumor from treatment effect in patients with glioblastoma: initial clinical experience.

Authors:  H S Kim; C H Suh; N Kim; C-G Choi; S J Kim
Journal:  AJNR Am J Neuroradiol       Date:  2013-08-22       Impact factor: 3.825

4.  Evaluation of perfusion-related and true diffusion in vertebral bone marrow: a preliminary study.

Authors:  Naoki Ohno; Tosiaki Miyati; Harumasa Kasai; Nobuyuki Arai; Makoto Kawano; Yuta Shibamoto; Satoshi Kobayashi; Toshifumi Gabata; Osamu Matsui
Journal:  Radiol Phys Technol       Date:  2014-11-21

5.  Diffusional kurtosis imaging (DKI) incorporation into an intravoxel incoherent motion (IVIM) MR model to measure cerebral hypoperfusion induced by hyperventilation challenge in healthy subjects.

Authors:  Aude Pavilla; Giulio Gambarota; Alessandro Arrigo; Mehdi Mejdoubi; Régis Duvauferrier; Hervé Saint-Jalmes
Journal:  MAGMA       Date:  2017-06-12       Impact factor: 2.310

6.  Are we ready to image the incoherent molecular motion in our minds?

Authors:  Sotirios Bisdas
Journal:  Neuroradiology       Date:  2013-04-21       Impact factor: 2.804

7.  MRI of cerebral micro-vascular flow patterns: A multi-direction diffusion-weighted ASL approach.

Authors:  J A Wells; D L Thomas; T Saga; J Kershaw; I Aoki
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

8.  Investigation of Apparent Diffusion Coefficient from Ultra-high b-Values in Parkinson's Disease.

Authors:  Ling Xueying; Zhang Zhongping; Zhao Zhoushe; Guo Li; Tang Yongjin; Shi Changzheng; Zhou Zhifeng; Chen Peihao; Xu Hao; Huang Li
Journal:  Eur Radiol       Date:  2015-03-07       Impact factor: 5.315

9.  Assessment of tumor response to oxygen challenge using quantitative diffusion MRI in an animal model.

Authors:  Zhongwei Zhang; Qing Yuan; Heling Zhou; Dawen Zhao; Li Li; Jenifer L Gerberich; Ralph P Mason
Journal:  J Magn Reson Imaging       Date:  2015-04-10       Impact factor: 4.813

10.  Intravoxel incoherent motion diffusion-weighted MR imaging of gliomas: feasibility of the method and initial results.

Authors:  Sotirios Bisdas; Tong San Koh; Constantin Roder; Christian Braun; Jens Schittenhelm; Ulrike Ernemann; Uwe Klose
Journal:  Neuroradiology       Date:  2013-07-14       Impact factor: 2.804

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.