Three-Dimensional Modeling of the Right Ventricle from Two-Dimensional Transthoracic Echocardiographic Images: Utility of Knowledge-Based Reconstruction in Pulmonary Arterial Hypertension

被引:29
|
作者
Bhave, Nicole M. [1 ]
Patel, Amit R. [1 ]
Weinert, Lynn [1 ]
Yamat, Megan [1 ]
Freed, Benjamin H. [2 ]
Mor-Avi, Victor [1 ]
Gomberg-Maitland, Mardi [1 ]
Lang, Roberto M. [1 ]
机构
[1] Univ Chicago, Med Ctr, Cardiol Sect, Dept Med, Chicago, IL 60637 USA
[2] NW Mem Hosp, Bluhm Cardiovasc Inst, Chicago, IL 60611 USA
关键词
Transthoracic echocardiography; Right ventricle; Pulmonary arterial hypertension; MAGNETIC-RESONANCE; ADULT PATIENTS; VOLUMES; QUANTIFICATION; SURVIVAL; HEART; VARIABILITY; VALIDATION; ACCURACY; MRI;
D O I
10.1016/j.echo.2013.05.007
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Right ventricular (RV) volume and functional assessments are essential in the management of pulmonary arterial hypertension but are often difficult to perform. Three-dimensional (3D) echocardiography is limited by acoustic dropout of the RV free wall in dilated ventricles. The aim of this study was to test the hypothesis that knowledge-based reconstruction, a novel method for 3D modeling of RV endocardium from two-dimensional echocardiographic images, could provide accurate measurements of RV volumes and systolic function. Methods: Twenty-seven patients with pulmonary arterial hypertension were prospectively recruited for same-day echocardiography and cardiovascular magnetic resonance (CMR), which was used as a reference standard. Two-dimensional transthoracic echocardiographic images were acquired with 3D spatial localization equipment to allow 3D reconstruction. Image analysis was performed with dedicated software to obtain end-diastolic volume (EDV) and end-systolic volume (ESV) and RV ejection fraction (EF). The method of disks was used to determine RV volumes on CMR. Results: Echocardiographic RV volumes correlated well with CMR (EDV, R = 0.87; ESV, R = 0.88; EF, R = 0.75). For interobserver analyses, coefficients of variability were 7.8 +/- 7.0% for EDV, 10.2 +/- 8.0% for ESV, and 15.4 +/- 13.8% for EF. For intraobserver analyses, coefficients of variability were 7.1 +/- 5.1% for EDV, 8.3 +/- 7.0% for ESV, and 10.9 +/- 9.2% for EF. On Bland-Altman analyses, volumes obtained on transthoracic echocardiography (TTE) were slightly larger than those obtained by CMR (Delta EDVTTE-CMR, 5.8 +/- 33.7 mL; Delta ESVTTE-CMR, 3.5 +/- 27.8 mL), whereas EFs tended to be slightly higher by CMR (Delta EFCMR-TTE, 0.5 +/- 6.5%). Conclusions: Knowledge-based reconstruction provides accurate and reproducible measurements of RV volumes in patients with pulmonary arterial hypertension. Larger studies are needed to confirm these results and to determine the practicality of this approach in daily practice and as an end point in clinical trials.
引用
收藏
页码:860 / 867
页数:8
相关论文
共 50 条
  • [41] Three-Dimensional Echocardiographic Deconstruction: Feasibility of Clinical Evaluation from Two-Dimensional Views Derived from a Three-Dimensional Data Set
    Henry, Michael P.
    Cotella, Juan, I
    Slivnick, Jeremy A.
    Yamat, Megan
    Hipke, Kyle
    Johnson, Roydell
    Mor-Avi, Victor
    Lang, Roberto M.
    JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY, 2022, 35 (10) : 1009 - +
  • [42] Transthoracic three-dimensional echocardiographic reconstruction of left and right ventricles: In vitro validation and comparison with magnetic resonance imaging
    Pini, R
    Giannazzo, G
    DiBari, M
    Innocenti, F
    Rega, L
    Casolo, G
    Devereux, RB
    AMERICAN HEART JOURNAL, 1997, 133 (02) : 221 - 229
  • [43] Reconstruction of Three-Dimensional Aquifer Heterogeneity from Two-Dimensional Geophysical Data
    Gueting, Nils
    Caers, Jef
    Comunian, Alessandro
    Vanderborght, Jan
    Englert, Andreas
    MATHEMATICAL GEOSCIENCES, 2018, 50 (01) : 53 - 75
  • [44] Reconstruction of Three-Dimensional Aquifer Heterogeneity from Two-Dimensional Geophysical Data
    Nils Gueting
    Jef Caers
    Alessandro Comunian
    Jan Vanderborght
    Andreas Englert
    Mathematical Geosciences, 2018, 50 : 53 - 75
  • [45] Algorithm of reconstruction of a three-dimensional crystal structure from two-dimensional projections
    Kirsh, D. V.
    Shirokanev, A. S.
    Kupriyanov, A. V.
    COMPUTER OPTICS, 2019, 43 (02) : 324 - 331
  • [46] Three-dimensional object recovery from two-dimensional images: A new approach
    Brown, EW
    Wang, P
    INTELLIGENT ROBOTS AND COMPUTER VISION XV: ALGORITHMS, TECHNIQUES, ACTIVE VISION, AND MATERIALS HANDLING, 1996, 2904 : 138 - 147
  • [47] Elementary Methods for Generating Three-Dimensional Coordinate Estimation and Image Reconstruction from Series of Two-Dimensional Images
    Eapen, Naived George
    Samanta, Debabrata
    Kaur, Manjit
    Al-Amri, Jehad F.
    Masud, Mehedi
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [48] Measuring the angle of attack of beating insect wings: Robust three-dimensional reconstruction from two-dimensional images
    Willmott, AP
    Ellington, CP
    JOURNAL OF EXPERIMENTAL BIOLOGY, 1997, 200 (21): : 2693 - 2704
  • [49] Three-dimensional reconstruction and characterization of human external shapes from two-dimensional images using volumetric methods
    Azevedo, Teresa C. S.
    Tavares, Joao Manuel R. S.
    Vaz, Mario A. P.
    COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 2010, 13 (03) : 359 - 369
  • [50] Statistical approach to shape from shading: Reconstruction of three-dimensional face surfaces from single two-dimensional images
    Atick, JJ
    Griffin, PA
    Redlich, AN
    NEURAL COMPUTATION, 1996, 8 (06) : 1321 - 1340