Literature DB >> 23788717

Myocardium: dynamic versus single-shot CT perfusion imaging.

Armin M Huber1, Vivian Leber, Bettina M Gramer, Daniela Muenzel, Alexander Leber, Johannes Rieber, Martin Schmidt, Mani Vembar, Ellen Hoffmann, Ernst Rummeny.   

Abstract

PURPOSE: To determine the diagnostic accuracy of dynamic computed tomographic (CT) perfusion imaging of the myocardium for the detection of hemodynamically relevant coronary artery stenosis compared with the accuracy of coronary angiography and fractional flow reserve (FFR) measurement.
MATERIALS AND METHODS: This study was approved by the institutional review board and the Federal Radiation Safety Council (Bundesamt für Strahlenschutz). All patients provided written informed consent. Thirty-two consecutive patients in adenosine stress conditions underwent dynamic CT perfusion imaging (14 consecutive data sets) performed by using a 256-section scanner with an 8-cm detector and without table movement. Time to peak, area under the curve, upslope, and peak enhancement were determined after calculation of time-attenuation curves. In addition, myocardial blood flow (MBF) was determined quantitatively. Results were compared with those of coronary angiography and FFR measurement by using a receiver operating characteristic (ROC) analysis. In addition, threshold values based on the Youden index and sensitivity and specificity were calculated.
RESULTS: Area under the ROC curve, sensitivity, and specificity, respectively, were 0.67, 41.4% (95% confidence interval [CI]: 23.5%, 61.1%), and 86.6% (95% CI: 76.0%, 93.7%) for time to peak; 0.74, 58.6% (95% CI: 38.9%, 76.5%), and 83.6% (95% CI: 72.5%, 91.5%) for area under the curve; 0.87, 82.8% (95% CI: 64.2%, 94.1%), and 88.1% (95% CI: 77.8%, 94.7%) for upslope; 0.83, 82.8% (95% CI: 64.2%, 94.1%), and 89.6% (95% CI: 79.6%, 95.7%) for peak enhancement; and 0.86, 75.9% (95% CI: 56.5%, 89.7%), and 100% (95% CI: 94.6%, 100%) for MBF. The thresholds determined by using the Youden index were 148.5 HU · sec for area under the curve, 12 seconds for time to peak, 2.5 HU/sec for upslope, 34 HU for peak enhancement, and 1.64 mL/g/min for MBF.
CONCLUSION: The semiquantitative parameters upslope and peak enhancement and the quantitative parameter MBF showed similar high diagnostic accuracy. SUPPLEMENTAL MATERIAL: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.13121441/-/DC1. RSNA, 2013

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23788717     DOI: 10.1148/radiol.13121441

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


  35 in total

1.  Coronary Artery Disease: Analysis of Diagnostic Performance of CT Perfusion and MR Perfusion Imaging in Comparison with Quantitative Coronary Angiography and SPECT-Multicenter Prospective Trial.

Authors:  Matthias Rief; Marcus Y Chen; Andrea L Vavere; Benjamin Kendziora; Julie M Miller; W Patricia Bandettini; Christopher Cox; Richard T George; João Lima; Marcelo Di Carli; Michail Plotkin; Elke Zimmermann; Michael Laule; Peter Schlattmann; Andrew E Arai; Marc Dewey
Journal:  Radiology       Date:  2017-09-25       Impact factor: 11.105

2.  A new redundancy weighting scheme for nonstationary data for computed tomography.

Authors:  Katsuyuki Taguchi; Jochen Cammin
Journal:  Med Phys       Date:  2015-05       Impact factor: 4.071

Review 3.  Advances in myocardial CT perfusion imaging technology.

Authors:  Yan Yi; Zheng-Yu Jin; Yi-Ning Wang
Journal:  Am J Transl Res       Date:  2016-11-15       Impact factor: 4.060

4.  Temporal averaging for analysis of four-dimensional whole-heart computed tomography perfusion of the myocardium: proof-of-concept study.

Authors:  S Feger; A Shaban; S Lukas; C Kendziorra; M Rief; E Zimmermann; M Dewey
Journal:  Int J Cardiovasc Imaging       Date:  2016-11-10       Impact factor: 2.357

5.  Additional diagnostic value of new CT imaging techniques for the functional assessment of coronary artery disease: a meta-analysis.

Authors:  Michèle Hamon; Damien Geindreau; Lydia Guittet; Christophe Bauters; Martial Hamon
Journal:  Eur Radiol       Date:  2019-01-07       Impact factor: 5.315

6.  The role of acquisition and quantification methods in myocardial blood flow estimability for myocardial perfusion imaging CT.

Authors:  Brendan L Eck; Raymond F Muzic; Jacob Levi; Hao Wu; Rachid Fahmi; Yuemeng Li; Anas Fares; Mani Vembar; Amar Dhanantwari; Hiram G Bezerra; David L Wilson
Journal:  Phys Med Biol       Date:  2018-09-13       Impact factor: 3.609

Review 7.  Cardiac CT for myocardial ischaemia detection and characterization--comparative analysis.

Authors:  A M Bucher; C N De Cecco; U J Schoepf; R Wang; F G Meinel; S R Binukrishnan; J V Spearman; T J Vogl; B Ruzsics
Journal:  Br J Radiol       Date:  2014-08-19       Impact factor: 3.039

8.  Quantification of myocardial blood flow using dynamic 320-row multi-detector CT as compared with ¹⁵O-H₂O PET.

Authors:  Yasuka Kikuchi; Noriko Oyama-Manabe; Masanao Naya; Osamu Manabe; Yuuki Tomiyama; Tsukasa Sasaki; Chietsugu Katoh; Kohsuke Kudo; Nagara Tamaki; Hiroki Shirato
Journal:  Eur Radiol       Date:  2014-04-18       Impact factor: 5.315

9.  Evaluation of an adaptive detector collimation for prospectively ECG-triggered coronary CT angiography with third-generation dual-source CT.

Authors:  Michael Messerli; Patricia Dewes; Jan-Erik Scholtz; Christophe Arendt; Simon Wildermuth; Thomas J Vogl; Ralf W Bauer
Journal:  Eur Radiol       Date:  2017-12-07       Impact factor: 5.315

Review 10.  Sudden cardiac death from structural heart diseases in adults: imaging findings with cardiovascular computed tomography and magnetic resonance.

Authors:  Song Soo Kim; Sung Min Ko; Sang Il Choi; Bo Hwa Choi; Arthur E Stillman
Journal:  Int J Cardiovasc Imaging       Date:  2016-05-02       Impact factor: 2.357

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.