Literature DB >> 25557072

Quantification of myocardial blood flow with dynamic perfusion 3.0 Tesla MRI: Validation with (15) O-water PET.

Yuuki Tomiyama1, Osamu Manabe1, Noriko Oyama-Manabe2, Masanao Naya3, Hiroyuki Sugimori2, Kenji Hirata1, Yuki Mori4, Hiroyuki Tsutsui3, Kohsuke Kudo2, Nagara Tamaki1, Chietsugu Katoh4.   

Abstract

BACKGROUND: To develop and validate a method for quantifying myocardial blood flow (MBF) using dynamic perfusion magnetic resonance imaging (MBFMRI ) at 3.0 Tesla (T) and compare the findings with those of (15) O-water positron emission tomography (MBFPET ).
METHODS: Twenty healthy male volunteers underwent magnetic resonance imaging (MRI) and (15) O-water positron emission tomography (PET) at rest and during adenosine triphosphate infusion. The single-tissue compartment model was used to estimate the inflow rate constant (K1). We estimated the extraction fraction of Gd-DTPA using K1 and MBF values obtained from (15) O-water PET for the first 10 subjects. For validation, we calculated MBFMRI values for the remaining 10 subjects and compared them with the MBFPET values. In addition, we compared MBFMRI values of 10 patients with coronary artery disease with those of healthy subjects.
RESULTS: The mean resting and stress MBFMRI values were 0.76 ± 0.10 and 3.04 ± 0.82 mL/min/g, respectively, and showed excellent correlation with the mean MBFPET values (r = 0.96, P < 0.01). The mean stress MBFMRI value was significantly lower for the patients (1.92 ± 0.37) than for the healthy subjects (P < 0.001).
CONCLUSION: The use of dynamic perfusion MRI at 3T is useful for estimating MBF and can be applied for patients with coronary artery disease.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  15O-water positron emission tomography; dynamic magnetic resonance imaging; myocardial blood flow; perfusion

Mesh:

Substances:

Year:  2014        PMID: 25557072     DOI: 10.1002/jmri.24834

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  9 in total

1.  Clinical Validation of the Accuracy of Absolute Myocardial Blood Flow Quantification with Dual-Source CT Using 15O-Water PET.

Authors:  Masafumi Takafuji; Kakuya Kitagawa; Masaki Ishida; Yasutaka Ichikawa; Satoshi Nakamura; Shiro Nakamori; Tairo Kurita; Kaoru Dohi; Hajime Sakuma
Journal:  Radiol Cardiothorac Imaging       Date:  2021-10-28

2.  Estimating extraction fraction and blood flow by combining first-pass myocardial perfusion and T1 mapping results.

Authors:  Devavrat Likhite; Promporn Suksaranjit; Ganesh Adluru; Brent Wilson; Edward DiBella
Journal:  Quant Imaging Med Surg       Date:  2017-10

3.  PET/CT scanning with 3D acquisition is feasible for quantifying myocardial blood flow when diagnosing coronary artery disease.

Authors:  Osamu Manabe; Masanao Naya; Tadao Aikawa; Masahiko Obara; Keiichi Magota; Markus Kroenke; Noriko Oyama-Manabe; Kenji Hirata; Daiki Shinyama; Chietsugu Katoh; Nagara Tamaki
Journal:  EJNMMI Res       Date:  2017-06-05       Impact factor: 3.138

Review 4.  Assessing Coronary Blood Flow Physiology in the Cardiac Catheterisation Laboratory.

Authors:  Sethumadhavan Vijayan; David S Barmby; Ian R Pearson; Andrew G Davies; Stephen B Wheatcroft; Mohan Sivananthan
Journal:  Curr Cardiol Rev       Date:  2017

5.  Improvement of image quality on low-dose dynamic myocardial perfusion computed tomography with a novel 4-dimensional similarity filter.

Authors:  Satonori Tsuneta; Noriko Oyama-Manabe; Hiroyuki Kameda; Taisuke Harada; Fumi Kato; Ewoud J Smit; Mathias Prokop; Kohsuke Kudo
Journal:  Medicine (Baltimore)       Date:  2020-06-26       Impact factor: 1.889

6.  Multimodality quantitative assessments of myocardial perfusion using dynamic contrast enhanced magnetic resonance and 15O-labelled water positron emission tomography imaging.

Authors:  G Papanastasiou; M C Williams; M R Dweck; S Mirsadraee; N Weir; A Fletcher; C Lucatelli; D Patel; E J R van Beek; D E Newby; S I K Semple
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2018-01-23

7.  Radiopharmaceutical tracers for cardiac imaging.

Authors:  Osamu Manabe; Tatsuya Kikuchi; Arthur J H A Scholte; Mohammed El Mahdiui; Ryuichi Nishii; Ming-Rong Zhang; Eriko Suzuki; Keiichiro Yoshinaga
Journal:  J Nucl Cardiol       Date:  2017-12-01       Impact factor: 5.952

8.  Comparison between quantitative cardiac magnetic resonance perfusion imaging and [15O]H2O positron emission tomography.

Authors:  Henk Everaars; Pepijn A van Diemen; Michiel J Bom; Stefan P Schumacher; Ruben W de Winter; Peter M van de Ven; Pieter G Raijmakers; Adriaan A Lammertsma; Mark B M Hofman; Rob J van der Geest; Marco J Götte; Albert C van Rossum; Robin Nijveldt; Ibrahim Danad; Roel S Driessen; Paul Knaapen
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-12-10       Impact factor: 9.236

9.  Evaluation of quantitative CMR perfusion imaging by comparison with simultaneous 15O-water-PET.

Authors:  Håkan Ahlström; Mark Lubberink; Tanja Kero; Edvin Johansson; Mathias Engström; Kai M Eggers; Lars Johansson
Journal:  J Nucl Cardiol       Date:  2019-07-16       Impact factor: 5.952

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.