Impact of Coronary Artery Calcification on the Accuracy of CT-FFR

被引：0
|
作者：
Tran, J. S. [1 ]
Han, H. [2 ]
Ibrahim, R. [3 ]
Kolimas, A. M. [3 ]
Shanmugasundaram, M. [1 ]
机构：
[1] Univ Arizona, Sarver Heart Ctr, Tucson, AZ USA
[2] Banner Estrella Med Ctr, Phoenix, AZ USA
[3] Banner Univ, Med Ctr, Univ Arizona, Tucson, AZ USA
来源：
JACC-CARDIOVASCULAR INTERVENTIONS | 2024年 / 17卷 / 04期
关键词：
D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
400.08
引用
收藏
页码：S44 / S45
页数：2
相关论文
共 50 条
  • [41] Diagnostic performance of the quantitative flow ratio and CT-FFR for coronary lesion-specific ischemia
    Han, Wenqi
    Liang, Lei
    Han, Tuo
    Wang, Zhenyu
    Shi, Lei
    Li, Yuan
    Chang, Fengjun
    Cao, Yiwei
    Zhang, Chunyan
    Wu, Haoyu
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [42] Interrater variability of ML-based CT-FFR during TAVR-planning: influence of image quality and coronary artery calcifications
    Gohmann, Robin F.
    Schug, Adrian
    Pawelka, Konrad
    Seitz, Patrick
    Majunke, Nicolas
    El Hadi, Hamza
    Heiser, Linda
    Renatus, Katharina
    Desch, Steffen
    Leontyev, Sergey
    Noack, Thilo
    Kiefer, Philipp
    Krieghoff, Christian
    Luecke, Christian
    Ebel, Sebastian
    Borger, Michael A.
    Thiele, Holger
    Panknin, Christoph
    Abdel-Wahab, Mohamed
    Horn, Matthias
    Gutberlet, Matthias
    FRONTIERS IN CARDIOVASCULAR MEDICINE, 2023, 10
  • [43] Feasibility and accuracy of a novel CT technique (CT-FFR) to derive fractional flow reserve based on structural and fluid analysis
    Ko, B.
    Cameron, J. D.
    Wong, D. T.
    Munnar, K.
    Hirohata, K.
    Fujisawa, Y.
    Sakaguchi, T.
    Hislop, J.
    Crossett, M.
    Nasis, A.
    Leung, M.
    Malaiapan, Y.
    Kuganesan, A.
    Meredith, I. T.
    Seneviratne, S. K.
    EUROPEAN HEART JOURNAL, 2016, 37 : 1031 - 1032
  • [44] Impact of Coronary Artery Calcium Characteristics on Accuracy of CT Angiography
    Kruk, Mariusz
    Noll, Dariusz
    Achenbach, Stefan
    Mintz, Gary S.
    Pregowski, Jerzy
    Kaczmarska, Edyta
    Kryczka, Karolina
    Pracon, Radoslow
    Dzielinska, Zofia
    Sleszycka, Justyna
    Witkowski, Adam
    Demkow, Marcin
    Ruzyllo, Witold
    Kepka, Cezary
    JACC-CARDIOVASCULAR IMAGING, 2014, 7 (01) : 49 - 58
  • [45] CT-FFR in the TAVR Work-Up Optimizing the Gatekeeper
    Mesnier, Jules
    Rodes-Cabau, Josep
    JACC-CARDIOVASCULAR INTERVENTIONS, 2022, 15 (11) : 1150 - 1152
  • [46] Predictive value of coronary stenosis degree combined with CT-FFR and resting-state CTP for major adverse cardiac events in obstructive coronary artery disease
    Yang, Fei
    Pang, Zhiying
    Cui, Shujun
    Ma, Yongqing
    Li, Yong
    Wang, Yanfei
    Jia, Peng
    Wang, Dawei
    Li, Jiaojiao
    Yang, Zhixiang
    MEDICINE, 2023, 102 (30) : E34438
  • [47] Incremental Value of Subtended Myocardial Mass for Identifying FFR-Verified Ischemia Using Quantitative CT Angiography Comparison With Quantitative Coronary Angiography and CT-FFR
    Yang, Dong Hyun
    Kang, Soo-Lin
    Koo, Hyun Jung
    Kweon, Jihoon
    Kang, Joon-Won
    Lim, Tae-Hwan
    Jung, Joonho
    Kim, Namkug
    Lee, June-Goo
    Han, Seungbong
    Ahn, Jung-Min
    Park, Duk-Woo
    Lee, Seung-Whan
    Lee, Cheol Whan
    Park, Seong-Wook
    Park, Seung-Jung
    Mintz, Gary S.
    Kim, Young-Hak
    JACC-CARDIOVASCULAR IMAGING, 2019, 12 (04) : 707 - 717
  • [48] CT FFR A paradigm shift in evaluation of coronary artery disease
    Kohli, Anirudh
    INDIAN JOURNAL OF RADIOLOGY AND IMAGING, 2019, 29 (03): : 233 - 235
  • [49] Machine-Learning CT-FFR and Extensive Coronary Calcium Overcoming the Achilles Heel of Coronary Computed Tomography Angiography
    Dey, Damini
    Lin, Andrew
    JACC-CARDIOVASCULAR IMAGING, 2020, 13 (03) : 771 - 773
  • [50] Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR Results From MACHINE Registry
    Tesche, Christian
    Otani, Katharina
    De Cecco, Carlo N.
    Coenen, Adriaan
    De Geer, Jakob
    Kruk, Mariusz
    Kim, Young-Hak
    Albrecht, Moritz H.
    Baumann, Stefan
    Renker, Matthias
    Bayer, Richard R.
    Duguay, Taylor M.
    Litwin, Sheldon E.
    Varga-Szemes, Akos
    Steinberg, Daniel H.
    Yang, Dong Hyun
    Kepka, Cezary
    Persson, Anders
    Nieman, Koen
    Schoepf, U. Joseph
    JACC-CARDIOVASCULAR IMAGING, 2020, 13 (03) : 760 - 770
12345