JACC: Cardiovascular Imaging
Volume 5, Issue 1 , Pages 15-24, January 2012

Simultaneous Right and Left Heart Real-Time, Free-Breathing CMR Flow Quantification Identifies Constrictive Physiology

  • Paaladinesh Thavendiranathan, MD, MSc

      Affiliations

    • The Ohio State University, Columbus, Ohio
  • ,
  • David Verhaert, MD

      Affiliations

    • The Ohio State University, Columbus, Ohio
  • ,
  • Michael C. Walls, MD

      Affiliations

    • The Ohio State University, Columbus, Ohio
  • ,
  • Jacob A. Bender, MS

      Affiliations

    • The Ohio State University, Columbus, Ohio
  • ,
  • Sanjay Rajagopalan, MD

      Affiliations

    • The Ohio State University, Columbus, Ohio
  • ,
  • Yiu-Cho Chung, PhD

      Affiliations

    • Siemens Healthcare, Columbus, Ohio
  • ,
  • Orlando P. Simonetti, PhD

      Affiliations

    • The Ohio State University, Columbus, Ohio
  • ,
  • Subha V. Raman, MD, MSEE

      Affiliations

    • The Ohio State University, Columbus, Ohio
    • Corresponding Author InformationReprint requests and correspondence: Dr. Subha V. Raman, The Ohio State University, 473 West 12th Avenue, Suite 200, Columbus, Ohio 43210

Received 10 May 2011; received in revised form 7 July 2011; accepted 13 July 2011.

Objectives

The purpose of this study was to evaluate the ability of a novel cardiac magnetic resonance (CMR) real-time phase contrast (RT-PC) flow measurement technique to reveal the discordant respirophasic changes in mitral and tricuspid valve in flow indicative of the abnormal hemodynamics seen in constrictive pericarditis (CP).

Background

Definitive diagnosis of CP requires identification of constrictive hemodynamics with or without pericardial thickening. CMR to date has primarily provided morphological assessment of the pericardium.

Methods

Sixteen patients (age 57 ± 13 years) undergoing CMR to assess known or suspected CP and 10 controls underwent RT-PC that acquired simultaneous mitral valve and tricuspid valve inflow velocities over 10 s of unrestricted breathing. The diagnosis of CP was confirmed via clinical history, diagnostic imaging, cardiac catheterization, intraoperative findings, and histopathology.

Results

Ten patients had CP, all with increased pericardial thickness (6.2 ± 1.0 mm). RT-PC imaging demonstrated discordant respirophasic changes in atrioventricular valve inflow velocities in all CP patients, with mean ± SD mitral valve and tricuspid valve inflow velocity variation of 46 ± 20% and 60 ± 15%, respectively, compared with 16 ± 8% and 24 ± 11% in patients without CP (p < 0.004 vs. patients with CP for both) and 17 ± 5% and 31 ± 13% in controls (p < 0.001 vs. patients with CP for both). There was no difference in atrioventricular valve inflow velocity variation between patients without CP compared with controls (p > 0.3 for both). Respiratory variation exceeding 25% across the mitral valve yielded a sensitivity of 100%, a specificity of 100%, and an area under the receiver-operating characteristic curve of 1.0 to detect CP physiology. Using a cutoff of 45%, variation of transtricuspid valve velocity had a sensitivity of 90%, a specificity of 88%, and an area under the receiver-operating characteristic curve of 0.98.

Conclusions

Accentuated and discordant respirophasic changes in mitral valve and tricuspid valve inflow velocities characteristic of CP can be identified noninvasively with RT-PC CMR. When incorporated into existing CMR protocols for imaging pericardial morphology, RT-PC CMR provides important hemodynamic evidence with which to make a definite diagnosis of CP.

Key Words:  cardiac magnetic resonance , constrictive pericarditis , pericardial disease

Abbreviations and Acronyms:  CMR, cardiac magnetic resonance, CP, constrictive pericarditis, CT, computed tomography, IVC, inferior vena cava, MV, mitral valve, ROI, region of interest, RT-PC, real-time phase contrast, TTE, transthoracic echocardiography, TV, tricuspid valve

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 Dr. Raman has received funding from NIH National Heart, Lung and Blood Institute R01 HL095563. Drs. Simonetti and Raman receive research support from Siemens. Dr. Yiu-Cho Chung was an employee of Siemens at the time of this work. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.

PII: S1936-878X(11)00743-1

doi:10.1016/j.jcmg.2011.07.010

JACC: Cardiovascular Imaging
Volume 5, Issue 1 , Pages 15-24, January 2012