Literature DB >> 29406855

Effect of Plaque Burden and Morphology on Myocardial Blood Flow and Fractional Flow Reserve.

Roel S Driessen1, Wijnand J Stuijfzand1, Pieter G Raijmakers2, Ibrahim Danad1, James K Min3, Jonathon A Leipsic4, Amir Ahmadi5, Jagat Narula5, Peter M van de Ven6, Marc C Huisman2, Adriaan A Lammertsma2, Albert C van Rossum1, Niels van Royen1, Paul Knaapen7.   

Abstract

BACKGROUND: Atherosclerotic plaque characteristics may affect downstream myocardial perfusion, as well as coronary lesion severity.
OBJECTIVES: This study sought to evaluate the association between quantitative plaque burden and plaque morphology obtained using coronary computed tomography angiography (CTA) and quantitative myocardial perfusion obtained using [15O]H2O positron emission tomography (PET), as well as fractional flow reserve (FFR) derived invasively.
METHODS: Two hundred eight patients (63% men; age 58 ± 8.7 years) with suspected coronary artery disease were prospectively included. All patients underwent 256-slice coronary CTA, [15O]H2O PET, and invasive FFR measurements. Coronary CTA-derived plaque burden and morphology were assessed using commercially available software and compared with PET perfusion and FFR.
RESULTS: Atherosclerotic plaques were present in 179 patients (86%) and 415 of 610 (68%) evaluable coronary arteries. On a per-vessel basis, traditional coronary plaque burden indexes, such as plaque length and volume, minimal lumen area, and stenosis percentage, were significantly associated with impaired hyperemic myocardial blood flow (MBF) and FFR. In addition, morphological features, such as partially calcified plaques, positive remodeling (PR), and low attenuation plaque, displayed a negative impact on hyperemic MBF and FFR. Multivariable analysis revealed that the morphological feature of PR was independently related to impaired hyperemic MBF as well as an unfavorable FFR (p = 0.004 and p = 0.007, respectively), next to stenosis percentage (p = 0.001 and p < 0.001, respectively) and noncalcified plaque volume (p < 0.001 and p = 0.010, respectively).
CONCLUSIONS: PR and noncalcified plaque volume are associated with detrimental downstream hyperemic myocardial perfusion and FFR, independent of lesion severity.
Copyright © 2018 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  coronary artery disease; coronary computed tomography angiography; fractional flow reserve; myocardial perfusion; plaque; positron emission tomography

Mesh:

Year:  2018        PMID: 29406855     DOI: 10.1016/j.jacc.2017.11.054

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  31 in total

1.  Non-invasive fractional flow reserve derived from coronary computed tomography angiography in patients with acute chest pain: Subgroup analysis of the ROMICAT II trial.

Authors:  Maros Ferencik; Michael T Lu; Thomas Mayrhofer; Stefan B Puchner; Ting Liu; Pal Maurovich-Horvat; Khristine Ghemigian; Alexander Ivanov; Elizabeth Adami; John T Nagurney; Pamela K Woodard; Quynh A Truong; James E Udelson; Udo Hoffmann
Journal:  J Cardiovasc Comput Tomogr       Date:  2019-05-15

2.  Coronary Microvascular Dysfunction by Myocardial Contrast Echocardiography in Nonelderly Patients Referred for Computed Tomographic Coronary Angiography.

Authors:  Sahar Taqui; Maros Ferencik; Brian P Davidson; J Todd Belcik; Federico Moccetti; Michael Layoun; Jacob Raber; Mitchell Turker; Hagai Tavori; Sergio Fazio; Jonathan R Lindner
Journal:  J Am Soc Echocardiogr       Date:  2019-05-15       Impact factor: 5.251

3.  Machine learning-based advances in coronary computed tomography angiography.

Authors:  Mina M Benjamin; Mark G Rabbat
Journal:  Quant Imaging Med Surg       Date:  2021-06

Review 4.  Coronary computed tomography angiography: a method coming of age.

Authors:  Axel Schmermund; Joachim Eckert; Marco Schmidt; Annett Magedanz; Thomas Voigtländer
Journal:  Clin Res Cardiol       Date:  2018-07-04       Impact factor: 5.460

5.  The best predictor of ischemic coronary stenosis: subtended myocardial volume, machine learning-based FFRCT, or high-risk plaque features?

Authors:  Mengmeng Yu; Zhigang Lu; Chengxing Shen; Jing Yan; Yining Wang; Bin Lu; Jiayin Zhang
Journal:  Eur Radiol       Date:  2019-03-22       Impact factor: 5.315

6.  Risk stratification in coronary artery disease using NH3-PET myocardial flow reserve and CAD-RADS on coronary CT angiography.

Authors:  Atsushi Yamamoto; Michinobu Nagao; Kiyoe Ando; Risako Nakao; Kenji Fukushima; Yuka Matsuo; Mitsuru Momose; Shuji Sakai; Nobuhisa Hagiwara
Journal:  Int J Cardiovasc Imaging       Date:  2021-06-11       Impact factor: 2.357

7.  Evaluation of computed tomography myocardial perfusion in women with angina and no obstructive coronary artery disease.

Authors:  Daria Frestad Bechsgaard; Ida Gustafsson; Marie Mide Michelsen; Naja Dam Mygind; Kristoffer Flintholm Raft; Jesper James Linde; Klaus Fuglsang Kofoed; Fay Yu-Huei Lin; James K Min; Eva Prescott; Jens Dahlgaard Hove
Journal:  Int J Cardiovasc Imaging       Date:  2019-11-01       Impact factor: 2.357

8.  Coronary Computed Tomography Angiography as a Gatekeeper to Coronary Revascularization: Emphasizing Atherosclerosis Findings Beyond Stenosis.

Authors:  Inge J van den Hoogen; Alexander R van Rosendael; Fay Y Lin; Jeroen J Bax; Leslee J Shaw; James K Min
Journal:  Curr Cardiovasc Imaging Rep       Date:  2019-05-14

9.  Stress Myocardial Perfusion Imaging vs Coronary Computed Tomographic Angiography for Diagnosis of Invasive Vessel-Specific Coronary Physiology: Predictive Modeling Results From the Computed Tomographic Evaluation of Atherosclerotic Determinants of Myocardial Ischemia (CREDENCE) Trial.

Authors:  Wijnand J Stuijfzand; Alexander R van Rosendael; Fay Y Lin; Hyuk-Jae Chang; Inge J van den Hoogen; Umberto Gianni; Jung Hyun Choi; Joon-Hyung Doh; Ae-Young Her; Bon-Kwon Koo; Chang-Wook Nam; Hyung-Bok Park; Sang-Hoon Shin; Jason Cole; Alessia Gimelli; Muhammad Akram Khan; Bin Lu; Yang Gao; Faisal Nabi; Ryo Nakazato; U Joseph Schoepf; Roel S Driessen; Michiel J Bom; Randall Thompson; James J Jang; Michael Ridner; Chris Rowan; Erick Avelar; Philippe Généreux; Paul Knaapen; Guus A de Waard; Gianluca Pontone; Daniele Andreini; Mouaz H Al-Mallah; Yao Lu; Daniel S Berman; Jagat Narula; James K Min; Jeroen J Bax; Leslee J Shaw
Journal:  JAMA Cardiol       Date:  2020-12-01       Impact factor: 14.676

Review 10.  Coronary Computed Tomography Angiography From Clinical Uses to Emerging Technologies: JACC State-of-the-Art Review.

Authors:  Khaled M Abdelrahman; Marcus Y Chen; Amit K Dey; Renu Virmani; Aloke V Finn; Ramzi Y Khamis; Andrew D Choi; James K Min; Michelle C Williams; Andrew J Buckler; Charles A Taylor; Campbell Rogers; Habib Samady; Charalambos Antoniades; Leslee J Shaw; Matthew J Budoff; Udo Hoffmann; Ron Blankstein; Jagat Narula; Nehal N Mehta
Journal:  J Am Coll Cardiol       Date:  2020-09-08       Impact factor: 24.094

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