Literature DB >> 21846761

Detection of hemodynamically significant coronary artery stenosis: incremental diagnostic value of dynamic CT-based myocardial perfusion imaging.

Fabian Bamberg1, Alexander Becker, Florian Schwarz, Roy P Marcus, Martin Greif, Franz von Ziegler, Ron Blankstein, Udo Hoffmann, Wieland H Sommer, Verena S Hoffmann, Thorsten R C Johnson, Hans-Christoph R Becker, Bernd J Wintersperger, Maximilian F Reiser, Konstantin Nikolaou.   

Abstract

PURPOSE: To determine the feasibility of computed tomography (CT)-based dynamic myocardial perfusion imaging for the detection of hemodynamically significant coronary artery stenosis, as defined with fractional flow reserve (FFR).
MATERIALS AND METHODS: Institutional review board approval and informed patient consent were obtained before patient enrollment in the study. The study was HIPAA compliant. Subjects who were suspected of having or were known to have coronary artery disease underwent electrocardiographically triggered dynamic stress myocardial perfusion imaging. FFR measurement was performed within all main coronary arteries with a luminal narrowing of 50%-85%. Estimated myocardial blood flow (MBF) was derived from CT images by using a model-based parametric deconvolution method for 16 myocardial segments and was related to hemodynamically significant coronary artery stenosis with an FFR of 0.75 or less in a blinded fashion. Conventional measures of diagnostic accuracy were derived, and discriminatory power analysis was performed by using logistic regression analysis.
RESULTS: Of 36 enrolled subjects, 33 (mean age, 68.1 years ± 10 [standard deviation]; 25 [76%] men, eight [24%] women) completed the study protocol. An MBF cut point of 75 mL/100 mL/min provided the highest discriminatory power (C statistic, 0.707; P <.001). While the diagnostic accuracy of CT for the detection of anatomically significant coronary artery stenosis (>50%) was high, it was low for the detection of hemodynamically significant stenosis (positive predictive value [PPV] per coronary segment, 49%; 95% confidence interval [CI]: 36%, 60%). With use of estimated MBF to reclassify lesions depicted with CT angiography, 30 of 70 (43%) coronary lesions were graded as not hemodynamically significant, which significantly increased PPV to 78% (95% CI: 61%, 89%; P = .02). The presence of a coronary artery stenosis with a corresponding MBF less than 75 mL/100 mL/min had a high risk for hemodynamic significance (odds ratio, 86.9; 95% CI:17.6, 430.4).
CONCLUSION: Dynamic CT-based stress myocardial perfusion imaging may allow detection of hemodynamically significant coronary artery stenosis.

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Year:  2011        PMID: 21846761     DOI: 10.1148/radiol.11110638

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


  82 in total

1.  A strategy to decrease partial scan reconstruction artifacts in myocardial perfusion CT: phantom and in vivo evaluation.

Authors:  Juan C Ramirez-Giraldo; Lifeng Yu; Birgit Kantor; Erik L Ritman; Cynthia H McCollough
Journal:  Med Phys       Date:  2012-01       Impact factor: 4.071

Review 2.  Stress CT perfusion: coupling coronary anatomy with physiology.

Authors:  Edward A Hulten; Marcio Sommer Bittencourt; Brian Ghoshhajra; Ron Blankstein
Journal:  J Nucl Cardiol       Date:  2012-06       Impact factor: 5.952

3.  Impact of iterative reconstruction on CNR and SNR in dynamic myocardial perfusion imaging in an animal model.

Authors:  B M Gramer; D Muenzel; V Leber; A-K von Thaden; H Feussner; A Schneider; M Vembar; N Soni; E J Rummeny; A M Huber
Journal:  Eur Radiol       Date:  2012-07-03       Impact factor: 5.315

4.  Adenosine-stress dynamic myocardial perfusion imaging using 128-slice dual-source CT in patients with normal body mass indices: effect of tube voltage, tube current, and iodine concentration on image quality and radiation dose.

Authors:  Sung Mok Kim; Young Kwon Cho; Yeon Hyeon Choe
Journal:  Int J Cardiovasc Imaging       Date:  2014-08-26       Impact factor: 2.357

Review 5.  Advances in stress cardiac MRI and computed tomography.

Authors:  Yasmin S Hamirani; Christopher M Kramer
Journal:  Future Cardiol       Date:  2013-09

6.  Dynamic CT myocardial perfusion imaging: performance of 3D semi-automated evaluation software.

Authors:  Ullrich Ebersberger; Roy P Marcus; U Joseph Schoepf; Gladys G Lo; Yining Wang; Philipp Blanke; Lucas L Geyer; J Cranston Gray; Andrew D McQuiston; Young Jun Cho; Michael Scheuering; Christian Canstein; Konstantin Nikolaou; Ellen Hoffmann; Fabian Bamberg
Journal:  Eur Radiol       Date:  2013-09-07       Impact factor: 5.315

7.  320-row CT coronary angiography predicts freedom from revascularisation and acts as a gatekeeper to defer invasive angiography in stable coronary artery disease: a fractional flow reserve-correlated study.

Authors:  Brian S Ko; Dennis T L Wong; James D Cameron; Darryl P Leong; Michael Leung; Ian T Meredith; Nitesh Nerlekar; Paul Antonis; Marcus Crossett; John Troupis; Richard Harper; Yuvaraj Malaiapan; Sujith K Seneviratne
Journal:  Eur Radiol       Date:  2013-11-12       Impact factor: 5.315

8.  Diagnostic accuracy of combined coronary angiography and adenosine stress myocardial perfusion imaging using 320-detector computed tomography: pilot study.

Authors:  Arthur Nasis; Brian S Ko; Michael C Leung; Paul R Antonis; Dee Nandurkar; Dennis T Wong; Leo Kyi; James D Cameron; John M Troupis; Ian T Meredith; Sujith K Seneviratne
Journal:  Eur Radiol       Date:  2013-02-21       Impact factor: 5.315

9.  Detection of ischaemic myocardial lesions with coronary CT angiography and adenosine-stress dynamic perfusion imaging using a 128-slice dual-source CT: diagnostic performance in comparison with cardiac MRI.

Authors:  S M Kim; J-H Choi; S-A Chang; Y H Choe
Journal:  Br J Radiol       Date:  2013-10-04       Impact factor: 3.039

10.  Current status of cardiac CT for the detection of myocardial ischemia.

Authors:  A Schuhbäck; M Marwan; R C Cury; S Achenbach
Journal:  Herz       Date:  2013-06       Impact factor: 1.443

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