Novel 4DCT Method to Measure Regional Left Ventricular Endocardial Shortening Before and After Transcatheter Mitral Valve Implantation

被引:8
作者
Colvert, Gabrielle M. [1 ]
Manohar, Ashish [2 ]
Contijoch, Francisco J. [1 ,3 ]
Yang, James [4 ]
Glynn, Jeremy [5 ]
Blanke, Philipp [6 ]
Leipsic, Jonathon A. [6 ]
McVeigh, Elliot R. [1 ,3 ,7 ]
机构
[1] Univ Calif San Diego, Dept Bioengn, 9500 Gilman Dr Mail Code 0412, La Jolla, CA 92093 USA
[2] Univ Calif San Diego, Dept Mech & Aerosp Engn, La Jolla, CA 92093 USA
[3] Univ Calif San Diego, Dept Radiol, La Jolla, CA 92093 USA
[4] Univ Calif San Diego, Dept Biol Sci, La Jolla, CA 92093 USA
[5] Abbott Med, St Paul, MN USA
[6] Univ British Columbia, St Pauls Hosp, Vancouver, BC, Canada
[7] Univ Calif San Diego, Dept Med, Cardiovasc Div, La Jolla, CA 92093 USA
来源
STRUCTURAL HEART-THE JOURNAL OF THE HEART TEAM | 2021年 / 5卷 / 04期
基金
美国国家卫生研究院;
关键词
Mitral regurgitation; myocardial strain; LV function; TMVI; 4DCT; LV remodeling; COMPUTED-TOMOGRAPHY; EJECTION FRACTION; REPLACEMENT; REGURGITATION; INTERVENTIONS; FEASIBILITY; CONSENSUS; SELECTION; CONTEXT; STRAIN;
D O I
10.1080/24748706.2021.1934617
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Regional left ventricular (LV) mechanics in mitral regurgitation (MR) patients, and local changes in function after transcatheter mitral valve implantation (TMVI) have yet to be evaluated. Herein, we introduce a method for creating high resolution maps of endocardial function from 4DCT images, leading to detailed characterization of changes in local LV function. These changes are particularly interesting when evaluating the effect of the TendyneTM TMVI device in the region of the epicardial pad. Methods Regional endocardial shortening from CT (RSCT) was evaluated in Tendyne (Abbott Medical) TMVI patients with 4DCT exams pre- and post-implantation. Regional function was evaluated in 90 LV segments (5 longitudinal x 18 circumferential). LV volumes and ejection fraction (EF) were also computed. A reproducibility study was performed in a subset of patients to determine the precision of RSCT measurements in this population. Results Baseline and local changes in RSCT post TMVI were highly variable and extremely spatially heterogeneous. Both inter- and intra-observer variability were low and demonstrated the high precision of RSCT for evaluating regional LV function. Conclusion (CT) is a reproducible metric which can be evaluated in patients with highly abnormal regional LV function and geometry. After TMVI, significant spatially heterogeneous changes in RSCT were observed in all subjects; therefore, it is unlikely that the functional state of TMVI patients can be fully described by changes in LV volume or EF. Measurement of RSCT provides precise characterization of the spatially heterogeneous effects of MR and TMVI on LV function and remodeling.
引用
收藏
页码:410 / 419
页数:10
相关论文
共 25 条
  • [11] Left Ventricular Remodeling After Transcatheter Mitral Valve Replacement With Tendyne New Insights From Computed Tomography
    Fukui, Miho
    Sorajja, Paul
    Gossl, Mario
    Bae, Richard
    Lesser, John R.
    Sun, Benjamin
    Duncan, Alison
    Muller, David
    Cavalcante, Joao L.
    [J]. JACC-CARDIOVASCULAR INTERVENTIONS, 2020, 13 (17) : 2038 - 2048
  • [12] Prognostic implications of global LV dysfunction: a systematic review and meta-analysis of global longitudinal strain and ejection fraction
    Kalam, Kashif
    Otahal, Petr
    Marwick, Thomas H.
    [J]. HEART, 2014, 100 (21) : 1673 - 1680
  • [13] Left ventricular systolic function assessment in secondary mitral regurgitation: left ventricular ejection fraction vs. speckle tracking global longitudinal strain
    Kamperidis, Vasileios
    Marsan, Nina Ajmone
    Delgado, Victoria
    Bax, Jeroen J.
    [J]. EUROPEAN HEART JOURNAL, 2016, 37 (10) : 811 - 816
  • [14] Regional myocardial strain measurements from 4DCT in patients with normal LV function
    McVeigh, Elliot R.
    Pourmorteza, Amir
    Guttman, Michael
    Sandfort, Veit
    Contijoch, Francisco
    Budhiraja, Suhas
    Chen, Zhennong
    Bluemke, David A.
    Chen, Marcus Y.
    [J]. JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY, 2018, 12 (05) : 372 - 378
  • [15] Transcatheter Mitral Valve Replacement for Patients With Symptomatic Mitral Regurgitation A Global Feasibility Trial
    Muller, David W. M.
    Farivar, Robert Saeid
    Jansz, Paul
    Bae, Richard
    Walters, Darren
    Clarke, Andrew
    Grayburn, Paul A.
    Stoler, Robert C.
    Dahle, Gry
    Rein, Kjell A.
    Shaw, Marty
    Scalia, Gregory M.
    Guerrero, Mayra
    Pearson, Paul
    Kapadia, Samir
    Gillinov, Marc
    Pichard, Augusto
    Corso, Paul
    Popma, Jeffrey
    Chuang, Michael
    Blanke, Philipp
    Leipsic, Jonathon
    Sorajja, Paul
    [J]. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2017, 69 (04) : 381 - 391
  • [16] The Future of Cardiovascular Computed Tomography Advanced Analytics and Clinical Insights
    Nicol, Edward D.
    Norgaard, Bjarne L.
    Blanke, Philipp
    Ahmadi, Amir
    Weir-McCall, Jonathon
    Horvat, Pal Maurovich
    Han, Kelly
    Bax, Jeroen J.
    Leipsic, Jonathon
    [J]. JACC-CARDIOVASCULAR IMAGING, 2019, 12 (06) : 1058 - 1072
  • [17] Nishimura RA, 2014, J AM COLL CARDIOL, V63, P2438, DOI [10.1016/j.jacc.2014.02.537, 10.1016/j.jacc.2014.02.536, 10.1016/j.jtcvs.2014.05.014]
  • [18] Automatic estimation of aortic and mitral valve displacements in dynamic CTA with 4D graph-cuts
    Ortuno, Juan E.
    Vegas-Sanchez-Ferrero, Gonzalo
    Gomez-Valverde, Juan J.
    Chen, Marcus Y.
    Santos, Andres
    McVeigh, Elliot R.
    Ledesma-Carbayo, Maria J.
    [J]. MEDICAL IMAGE ANALYSIS, 2020, 65
  • [19] THRESHOLD SELECTION METHOD FROM GRAY-LEVEL HISTOGRAMS
    OTSU, N
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1979, 9 (01): : 62 - 66
  • [20] Precision of regional wall motion estimates from ultra-low-dose cardiac CT using SQUEEZ
    Pourmorteza, Amir
    Keller, Noemie
    Chen, Richard
    Lardo, Albert
    Halperin, Henry
    Chen, Marcus Y.
    McVeigh, Elliot
    [J]. INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2018, 34 (08) : 1277 - 1286