Literature DB >> 34778781

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

Masafumi Takafuji1, Kakuya Kitagawa1, Masaki Ishida1, Yasutaka Ichikawa1, Satoshi Nakamura1, Shiro Nakamori1, Tairo Kurita1, Kaoru Dohi1, Hajime Sakuma1.   

Abstract

PURPOSE: To determine the fitting equation that can correct for the underestimation of myocardial blood flow (MBF) measurement by using dynamic CT perfusion (CTP) with dual-source CT (MBFCT), using MBF with oxygen 15-labeled water (15O-water) PET (MBFPET) as a reference, and to determine the accuracy of corrected MBFCT (MBFCT-corrected) compared with MBFPET in a separate set of participants.
MATERIALS AND METHODS: In this prospective study (reference no. 2466), 34 participants (mean age, 70 years ± 8 [standard deviation]; 27 men) known or suspected to have coronary artery disease underwent dynamic stress CTP and stress 15O-water PET between January 2014 and December 2018. The participants were randomly assigned to either a pilot group (n = 17), to determine the fitting equation on the basis of the generalized Renkin-Crone model that can explain the relation between MBFCT and MBFPET, or to a validation group (n = 17), to validate MBFCT-corrected compared with MBFPET. The agreement between MBFCT-corrected and MBFPET was evaluated by intraclass correlation and Bland-Altman analysis.
RESULTS: In the pilot group, MBFCT was lower than MBFPET (1.24 mL/min/g ± 0.28 vs 2.51 mL/min/g ± 0.89, P < .001) at the segment level. The relationship between MBFCT and MBFCT-corrected was represented as MBFCT = MBFCT-corrected × {1-exp[-(0.11 × MBFCT-corrected + 1.54)/MBFCT-corrected]}. In the validation group, MBFCT-corrected was 2.66 mL/min/g ± 1.93, and MBFPET was 2.68 mL/min/g ± 1.87 at the vessel level. MBFCT-corrected showed an excellent agreement with MBFPET (intraclass correlation coefficient = 0.93 [95% CI: 0.87, 0.96]). The measurement bias of MBFCT-corrected and MBFPET was -0.02 mL/min/g ± 0.74.
CONCLUSION: Underestimation of MBF by CT was successfully corrected with a correction method that was based on contrast kinetics in the myocardium.Keywords: CT, CT-Perfusion, PET, Cardiac, Heart Supplemental material is available for this article. © RSNA, 2021. 2021 by the Radiological Society of North America, Inc.

Entities:  

Keywords:  CT; CT-Perfusion; Cardiac; Heart; PET

Year:  2021        PMID: 34778781      PMCID: PMC8581586          DOI: 10.1148/ryct.2021210060

Source DB:  PubMed          Journal:  Radiol Cardiothorac Imaging        ISSN: 2638-6135


  34 in total

1.  Underestimation of myocardial blood flow by dynamic perfusion CT: Explanations by two-compartment model analysis and limited temporal sampling of dynamic CT.

Authors:  Masaki Ishida; Kakuya Kitagawa; Takashi Ichihara; Takahiro Natsume; Ryohei Nakayama; Naoki Nagasawa; Makiko Kubooka; Tatsuro Ito; Mio Uno; Yoshitaka Goto; Motonori Nagata; Hajime Sakuma
Journal:  J Cardiovasc Comput Tomogr       Date:  2016-01-13

2.  Diagnostic Accuracy of Endocardial-to-Epicardial Myocardial Blood Flow Ratio for the Detection of Significant Coronary Artery Disease With Dynamic Myocardial Perfusion Dual-Source Computed Tomography.

Authors:  Yoshitaka Goto; Kakuya Kitagawa; Mio Uno; Shiro Nakamori; Tatsuro Ito; Naoki Nagasawa; Kaoru Dohi; Hajime Sakuma
Journal:  Circ J       Date:  2017-04-25       Impact factor: 2.993

3.  Added prognostic value of myocardial blood flow quantitation in rubidium-82 positron emission tomography imaging.

Authors:  Hoshang Farhad; Vincent Dunet; Kim Bachelard; Gilles Allenbach; Philipp A Kaufmann; John O Prior
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2013-05-09       Impact factor: 6.875

4.  In vivo quantitation of regional myocardial blood flow by positron-emission computed tomography.

Authors:  G Wisenberg; H R Schelbert; E J Hoffman; M E Phelps; G D Robinson; C E Selin; J Child; D Skorton; D E Kuhl
Journal:  Circulation       Date:  1981-06       Impact factor: 29.690

5.  Quantitative assessment of myocardial perfusion in the detection of significant coronary artery disease: cutoff values and diagnostic accuracy of quantitative [(15)O]H2O PET imaging.

Authors:  Ibrahim Danad; Valtteri Uusitalo; Tanja Kero; Antti Saraste; Pieter G Raijmakers; Adriaan A Lammertsma; Martijn W Heymans; Sami A Kajander; Mikko Pietilä; Stefan James; Jens Sörensen; Paul Knaapen; Juhani Knuuti
Journal:  J Am Coll Cardiol       Date:  2014-10-07       Impact factor: 24.094

6.  Smoking cessation normalizes coronary endothelial vasomotor response assessed with 15O-water and PET in healthy young smokers.

Authors:  Koichi Morita; Takahiro Tsukamoto; Masanao Naya; Kazuyuki Noriyasu; Masayuki Inubushi; Tohru Shiga; Chietsugu Katoh; Yuji Kuge; Hiroyuki Tsutsui; Nagara Tamaki
Journal:  J Nucl Med       Date:  2006-12       Impact factor: 10.057

7.  Accuracy of dynamic computed tomography adenosine stress myocardial perfusion imaging in estimating myocardial blood flow at various degrees of coronary artery stenosis using a porcine animal model.

Authors:  Fabian Bamberg; Rabea Hinkel; Florian Schwarz; Torleif A Sandner; Elisabeth Baloch; Roy Marcus; Alexander Becker; Christian Kupatt; Bernd J Wintersperger; Thorsten R Johnson; Daniel Theisen; Ernst Klotz; Maximilian F Reiser; Konstantin Nikolaou
Journal:  Invest Radiol       Date:  2012-01       Impact factor: 6.016

8.  Relation between myocardial blood flow and the severity of coronary-artery stenosis.

Authors:  N G Uren; J A Melin; B De Bruyne; W Wijns; T Baudhuin; P G Camici
Journal:  N Engl J Med       Date:  1994-06-23       Impact factor: 91.245

9.  Reduced coronary vasodilator function in infarcted and normal myocardium after myocardial infarction.

Authors:  N G Uren; T Crake; D C Lefroy; R de Silva; G J Davies; A Maseri
Journal:  N Engl J Med       Date:  1994-07-28       Impact factor: 91.245

10.  Diagnostic value of transmural perfusion ratio derived from dynamic CT-based myocardial perfusion imaging for the detection of haemodynamically relevant coronary artery stenosis.

Authors:  Adriaan Coenen; Marisa M Lubbers; Akira Kurata; Atsushi Kono; Admir Dedic; Raluca G Chelu; Marcel L Dijkshoorn; Alexia Rossi; Robert-Jan M van Geuns; Koen Nieman
Journal:  Eur Radiol       Date:  2016-10-04       Impact factor: 5.315

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