Literature DB >> 29361491

Incremental Value of Subtended Myocardial Mass for Identifying FFR-Verified Ischemia Using Quantitative CT Angiography: Comparison With Quantitative Coronary Angiography and CT-FFR.

Dong Hyun Yang1, Soo-Jin Kang2, Hyun Jung Koo1, Jihoon Kweon2, Joon-Won Kang1, Tae-Hwan Lim1, Joonho Jung2, Namkug Kim3, June-Goo Lee4, Seungbong Han5, Jung-Min Ahn2, Duk-Woo Park2, Seung-Whan Lee2, Cheol Whan Lee2, Seong-Wook Park2, Seung-Jung Park2, Gary S Mintz6, Young-Hak Kim7.   

Abstract

OBJECTIVES: This study examined the incremental value of subtended myocardial mass (Vsub) as assessed by coronary computed tomography angiography (CTA) for identifying lesion-specific ischemia verified by invasive fractional flow reserve (FFR) in quantitative coronary CTA.
BACKGROUND: FFR is determined not only by coronary stenosis severity, but also by Vsub. One-step evaluation of combined Vsub and coronary lesion morphology may improve the accuracy of coronary CTA for identifying ischemia-producing lesions.
METHODS: A total of 246 intermediate coronary artery lesions (30% to 80% diameter stenosis) in 220 patients (mean age 61.7 years, 168 men) interrogated by FFR were retrospectively studied. Coronary CTA data were used to assess the Vsub by coronary artery stenosis, minimal lumen area (MLA), percentage of aggregated plaque volume (%APV), positive remodeling, and low-attenuation plaque. The ability of Vsub/MLA2 to discriminate lesions with FFR ≤0.80 was examined. Diagnostic performance, odds ratios, and category-less net reclassification improvements of coronary CTA parameters for FFR-verified (≤0.80) ischemia were evaluated. On-site computed tomography (CT) derived-FFR (CT-FFR) and quantitative coronary angiography (QCA) data were also compared.
RESULTS: Of 246 lesions, 84 (34.1%) showed an FFR ≤0.80. Vsub was independently associated with an FFR ≤0.80 (odds ratio: 1.04/1 cm3; p = 0.032) and showed incremental value over MLA. Vsub/MLA2 >4.16 was the best single parameter for discriminating an FFR ≤0.80 with 83.3% sensitivity and 67.9% specificity. The area under the curve (AUC) of Vsub/MLA2 >4.16 (0.80 [95% confidence interval: 0.75 to 0.85]) was better than that of MLA (change in [Δ]AUC: 0.069; p < 0.001), %APV (ΔAUC: 0.096; p = 0.017), and diameter stenosis of QCA (ΔAUC: 0.080; p = 0.037) and was comparable to that of CT-FFR (AUC 0.77; ΔAUC: 0.035; p = 0.304).
CONCLUSIONS: Vsub is an independent determinant of an FFR ≤0.80. The mathematical index of Vsub/MLA2 >4.16 assessed by coronary CTA shows better diagnostic performance for the detection of ischemia-producing lesions than CT-derived MLA alone or %APV and QCA parameters and was comparable to that of on-site CT-FFR.
Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CT-FFR; coronary computed tomography angiography; fractional flow reserve; subtended myocardial mass

Mesh:

Year:  2018        PMID: 29361491     DOI: 10.1016/j.jcmg.2017.10.027

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  6 in total

1.  Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.

Authors:  Xiuhua Hu; Minglei Yang; Lu Han; Yujiao Du
Journal:  Int J Cardiovasc Imaging       Date:  2018-07-30       Impact factor: 2.357

Review 2.  [Beyond Coronary CT Angiography: CT Fractional Flow Reserve and Perfusion].

Authors:  Moon Young Kim; Dong Hyun Yang; Ki Seok Choo; Whal Lee
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2022-01-21

Review 3.  SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography.

Authors:  Jagat Narula; Y Chandrashekhar; Amir Ahmadi; Suhny Abbara; Daniel S Berman; Ron Blankstein; Jonathon Leipsic; David Newby; Edward D Nicol; Koen Nieman; Leslee Shaw; Todd C Villines; Michelle Williams; Harvey S Hecht
Journal:  J Cardiovasc Comput Tomogr       Date:  2020-11-20

4.  Diagnostic Value of Lesion-specific Measurement of Myocardial Blood Flow Using Hybrid PET/CT.

Authors:  Sang Geon Cho; Hyeon Sik Kim; Jae Yeong Cho; Ju Han Kim; Hee Seung Bom
Journal:  J Cardiovasc Imaging       Date:  2019-12-24

5.  Automated Segmentation of Left Ventricular Myocardium on Cardiac Computed Tomography Using Deep Learning.

Authors:  Hyun Jung Koo; June Goo Lee; Ji Yeon Ko; Gaeun Lee; Joon Won Kang; Young Hak Kim; Dong Hyun Yang
Journal:  Korean J Radiol       Date:  2020-06       Impact factor: 3.500

6.  The Functional Severity Assessment of Coronary Stenosis Using Coronary Computed Tomography Angiography-Based Myocardial Mass at Risk and Minimal Lumen Diameter.

Authors:  Kenji Sadamatsu; Kazuhiro Nagaoka; Yasuaki Koga; Kotaro Kagiyama; Kohei Muramatsu; Kiyoshi Hironaga; Hideki Tashiro; Takafumi Ueno; Yoshihiro Fukumoto
Journal:  Cardiovasc Ther       Date:  2020-01-30       Impact factor: 3.023

  6 in total

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