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Journal of Cardiovascular Computed Tomography
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    • Research Article6

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    • Albrecht, Moritz H1
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    • Journal of Cardiovascular Computed Tomography6

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    • Coronary artery disease5
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    • Research paper

      Perivascular fat attenuation for predicting adverse cardiac events in stable patients undergoing invasive coronary angiography

      Journal of Cardiovascular Computed Tomography
      Vol. 16Issue 6p483–490Published online: May 23, 2022
      • Devina Chatterjee
      • Benjamin L. Shou
      • Matthew B. Matheson
      • Mohammad R. Ostovaneh
      • Carlos Rochitte
      • Marcus Y. Chen
      • and others
      Cited in Scopus: 1
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        Inflammation surrounding the coronary arteries can be non-invasively assessed using pericoronary adipose tissue attenuation (PCAT). While PCAT holds promise for further risk stratification of patients with low coronary artery disease (CAD) prevalence, its value in higher risk populations remains unknown.
        Perivascular fat attenuation for predicting adverse cardiac events in stable patients undergoing invasive coronary angiography
      • Research paper

        Increased coronary pericoronary adipose tissue attenuation in diabetic patients compared to non-diabetic controls: A propensity score matching analysis

        Journal of Cardiovascular Computed Tomography
        Vol. 16Issue 4p327–335Published online: January 25, 2022
        • Yarong Yu
        • Xiaoying Ding
        • Lihua Yu
        • Xu Dai
        • Yufan Wang
        • Jiayin Zhang
        Cited in Scopus: 3
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          Pericoronary adipose tissue (PCAT) attenuation is an indicator of active inflammation of perivascular adipose tissue, which is supposed to increase in diabetic patients. We aimed to investigate the PCAT attenuation values and high-risk plaque (HRP) features in diabetic and non-diabetic subjects with different stenotic extents.
          Increased coronary pericoronary adipose tissue attenuation in diabetic patients compared to non-diabetic controls: A propensity score matching analysis
        • Research Article

          Cumulative exposure amount of PM2.5 in the ambient air is associated with coronary atherosclerosis - Serial coronary CT angiography study

          Journal of Cardiovascular Computed Tomography
          Vol. 16Issue 3p230–238Published online: November 23, 2021
          • Heesun Lee
          • Jung Hye Kim
          • Minkwan Kim
          • Hyo Eun Park
          • Su-Yeon Choi
          • Hye Kyung Kim
          • and others
          Cited in Scopus: 2
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            TOC SUMMARY: It is unclear how air pollution contributes to the development of cardiovascular disease. We investigated the change of coronary atherosclerosis using serial CCTAs in relation to the cumulative amount of PM2.5 exposure between the two CCTAs in 3,127 healthy adults. Coronary calcification progressed in 1,361 (43.5%) subjects with a positive relationship between the cumulative amount of PM2.5 exposure and CACS. The cumulative amount of PM2.5 exposure, rather than the average concentration of PM2.5, was independently associated with progression of coronary calcification and diffuse development of de novo calcified plaques, with its impact higher than any other traditional cardiovascular risk factors.
            Cumulative exposure amount of PM2.5 in the ambient air is associated with coronary atherosclerosis - Serial coronary CT angiography study
          • Research paper
            Open Access

            Predictive value of the coronary artery calcium score and advanced plaque characteristics: Post hoc analysis of the PREDICT registry

            Journal of Cardiovascular Computed Tomography
            Vol. 15Issue 2p148–153Published online: August 9, 2020
            • Hideya Yamamoto
            • Yasuki Kihara
            • Shinichiro Fujimoto
            • Hiroyuki Daida
            • Kazuhiro Kobuke
            • Yoshitaka Iwanaga
            • and others
            Cited in Scopus: 3
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              Whether coronary plaque characteristics assessed in coronary computed tomography angiography (CCTA) in association with the coronary artery calcium score (CACS) have predictive value for coronary events is unclear. We aimed to examine the predictive value of the CACS and plaque characteristics for the occurrence of coronary events.
              Predictive value of the coronary artery calcium score and advanced plaque characteristics: Post hoc analysis of the PREDICT registry
            • Research paper

              A novel density-volume calcium score by non-contrast CT predicts coronary plaque burden on coronary CT angiography: Results from the MACS (Multicenter AIDS cohort study)

              Journal of Cardiovascular Computed Tomography
              Vol. 14Issue 3p266–271Published online: September 24, 2019
              • Rine Nakanishi
              • Joseph A. Delaney
              • Wendy S. Post
              • Christopher Dailing
              • Michael J. Blaha
              • Frank Palella
              • and others
              Cited in Scopus: 6
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                The purpose of this study is to determine if a new score calculated with coronary artery calcium (CAC) density and volume is associated with total coronary artery plaque burden and composition on coronary CT angiography (CCTA) compared to the Agatston score (AS).
                A novel density-volume calcium score by non-contrast CT predicts coronary plaque burden on coronary CT angiography: Results from the MACS (Multicenter AIDS cohort study)
              • Research Article

                Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques

                Journal of Cardiovascular Computed Tomography
                Vol. 13Issue 6p331–335Published online: October 25, 2018
                • Domenico Mastrodicasa
                • Moritz H. Albrecht
                • U. Joseph Schoepf
                • Akos Varga-Szemes
                • Brian E. Jacobs
                • Sebastian Gassenmaier
                • and others
                Cited in Scopus: 18
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                  The influence of computed tomography (CT) reconstruction algorithms on the performance of machine-learning-based CT-derived fractional flow reserve (CT-FFRML) has not been investigated. CT-FFRML values and processing time of two reconstruction algorithms were compared using an on-site workstation.
                  Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques
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