Literature DB >> 18562719

Quantification of myocardial perfusion by contrast-enhanced 64-MDCT: characterization of ischemic myocardium.

Michinobu Nagao1, Hiroshi Matsuoka, Hideo Kawakami, Hiroshi Higashino, Teruhito Mochizuki, Kenya Murase, Masahiko Uemura.   

Abstract

OBJECTIVE: Assessment of hemodynamic changes in ischemic cardiac segments at rest using CT has yet to be performed. We hypothesized that variations in subendocardial perfusion during the cardiac cycle might be related to the appearances of ischemia. The purpose of this study was to investigate myocardial perfusion in ischemic segments using contrast-enhanced 64-MDCT. SUBJECTS AND METHODS: We performed cardiac MDCT at rest and stress/rest (201)Tl myocardial perfusion scintigraphy (MPS) in 34 patients with suspected coronary artery disease. We reconstructed 2D long- and short-axis cardiac images in diastolic and systolic phases using raw data from coronary CT angiography. The attenuation value (in Hounsfield units) in the myocardium was used as an estimate of myocardial perfusion. We measured the subendocardial intensity of 17 segments according to the American Heart Association classification. Systolic perfusion or diastolic perfusion was calculated by dividing the subendocardial intensity at systole or diastole, respectively, for each segment by the mean value across all segments for each patient. We used stress/rest MPS to evaluate the variation in myocardial perfusion at systole and diastole for the segments diagnosed as ischemic or nonischemic.
RESULTS: Systolic perfusion for ischemic segments was significantly lower than that for nonischemic segments in 15 of 17 segments. The difference between systolic perfusion and diastolic perfusion in ischemic segments was significantly lower than that in nonischemic segments (14 of 17 segments). There was no significant difference in diastolic perfusion between ischemic and nonischemic segments (15 of 17 segments).
CONCLUSION: Our results suggest that a pattern of subendocardial hypoperfusion at systole and normal perfusion at diastole characterizes ischemic myocardium.

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Year:  2008        PMID: 18562719     DOI: 10.2214/AJR.07.2929

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  15 in total

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Journal:  J Zhejiang Univ Sci B       Date:  2011-06       Impact factor: 3.066

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Review 3.  Infarct characterization using CT.

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Journal:  Cardiovasc Diagn Ther       Date:  2017-04

Review 4.  Multi-modality imaging for the assessment of myocardial perfusion with emphasis on stress perfusion CT and MR imaging.

Authors:  Sung Min Ko; Hweung Kon Hwang; Sung Mok Kim; Ihn Ho Cho
Journal:  Int J Cardiovasc Imaging       Date:  2015-03-26       Impact factor: 2.357

5.  Diagnostic performance of resting CT myocardial perfusion in patients with possible acute coronary syndrome.

Authors:  Kelley R Branch; Janet Busey; Lee M Mitsumori; Jared Strote; James H Caldwell; Joshua H Busch; William P Shuman
Journal:  AJR Am J Roentgenol       Date:  2013-05       Impact factor: 3.959

6.  Evaluation of myocardial infarction patients after coronary revasculation by dual-phase multi-detector computed tomography: Now and in future.

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7.  Myocardial density analysis utilizing automated myocardial defect analysis software on resting 320-detector MDCT.

Authors:  John M Troupis; Alex Karge; Sujith Seneviratne; Arthur Nasis; Eileen C Ang; Brian S Ko; Dee Nandurkar; Eldho Paul; Roland Hilling-Smith; James Cameron
Journal:  Int J Cardiovasc Imaging       Date:  2013-01-03       Impact factor: 2.357

Review 8.  Myocardial perfusion imaging with cardiac computed tomography: state of the art.

Authors:  Amit R Patel; Nicole M Bhave; Victor Mor-Avi
Journal:  J Cardiovasc Transl Res       Date:  2013-08-21       Impact factor: 4.132

9.  Early defects identified by computed tomography angiography are associated with left ventricular dysfunction and exercise intolerance following acute myocardial infarction.

Authors:  Ken Kongoji; Kihei Yoneyama; Kohei Koyama; Takanobu Mitarai; Ryo Kamijima; Keisuke Kida; Yasuyuki Kobayashi; Kazuto Omiya; Yoshihiro J Akashi
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10.  PROMETHEUS and POSEIDON: Harnessing the power of advanced cardiac imaging.

Authors:  Atul R Chugh; Joao A C Lima
Journal:  Circ Res       Date:  2014-04-11       Impact factor: 17.367

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