Investig Magn Reson Imaging.  2017 Mar;21(1):20-27. 10.13104/imri.2017.21.1.20.

Assessment of Left Ventricular Function with Single Breath-Hold Magnetic Resonance Cine Imaging in Patients with Arrhythmia

Affiliations
  • 1Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. sungmok_kim@hanmail.net
  • 2Department of Radiology, Kangwon National University Hospital, Chuncheon, Korea.
  • 3Cardiovascular Imaging Center, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • 4Department of Cardiology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • 5Biostatistics and Clinical Epidemiology Center, Samsung Medical Center, Seoul, Korea.

Abstract

PURPOSE
To evaluate quantification results of single breath-hold (SBH) magnetic resonance (MR) cine imaging compared to results of conventional multiple breath-hold (MBH) technique for left ventricular (LV) function in patients with cardiac arrhythmia.
MATERIALS AND METHODS
MR images of patients with arrhythmia who underwent MBH and SBH cine imaging at the same time on a 1.5T MR scanner were retrospectively reviewed. Both SBH and MBH cine imaging were performed with balanced steady state free precession. SBH scans were acquired using temporal parallel acquisition technique (TPAT). Fifty patients (65.4 ± 12.3 years, 72% men) were included. End-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF), myocardial mass, and LV regional wall motion were evaluated.
RESULTS
EF, myocardial mass, and regional wall motion were not significantly different between SBH and MBH acquisition techniques (all P-values > 0.05). EDV, ESV, and SV were significant difference between the two techniques. These parameters for SBH cine imaging with TPAT tended to lower than those in MBH. EF and myocardial mass of SBH cine imaging with TPAT showed good correlation with values of MBH cine imaging in Passing-Bablok regression charts and Bland-Altman plots. However, SBH imaging required significantly shorter acquisition time than MBH cine imaging (15 ± 7 sec vs. 293 ± 104 sec, P < 0.001).
CONCLUSION
SBH cine imaging with TPAT permits shorter acquisition time with assessment results of global and regional LV function comparable to those with MBH cine imaging in patients with arrhythmia.

Keyword

Temporal parallel acquisition technique; Single breath-hold cine magnetic resonance; TGRAPPA; Arrhythmia; Left ventricular function

MeSH Terms

Arrhythmias, Cardiac*
Humans
Retrospective Studies
Stroke Volume
Ventricular Function, Left*

Figure

  • Fig. 1. Passing-Bablok regression chart (a) and Bland-Altman plot (b) of EF obtained from SBH and MBH hold cine imaging. EF values in SBH cine imaging with TPAT showed good correlation with those in MBH cine imaging. EF = ejection fraction; MBH = multiple breath-hold; SBH = single breath-hold; TPAT = temporal parallel acquisition technique

  • Fig. 2. Passing-Bablok regression chart (a) and Bland-Altman plot (b) of myocardial mass obtained from SBH and MBH cine imaging. Myocardial mass in SBH cine imaging with TPAT was correlated with that in MBH cine imaging. SBH cine imaging with TPAT revealed a tendency to overestimate myocardial mass compared to MBH cine imaging. MBH = multiple breath-hold; SBH = single breath-hold; TPAT = temporal parallel acquisition technique

  • Fig. 3. Distribution of regional wall motion abnormality evaluated by two acquisition techniques (n = 800 segments in each technique). Regional wall motion abnormality was not significantly different between the two acquisition techniques (P = 0.552).

  • Fig. 4. Mid-ventricular short-axis images of a 78-year-old female with atrial fibrillation obtained with MBH cine imaging (a) or SBH cine imaging with TPAT (b). MBH cine imaging resulted in blurring of the myocardium.


Cited by  1 articles

Biases in the Assessment of Left Ventricular Function by Compressed Sensing Cardiovascular Cine MRI
Jong-Hyun Yoon, Pan-ki Kim, Young-Joong Yang, Jinho Park, Byoung Wook Choi, Chang-Beom Ahn
Investig Magn Reson Imaging. 2019;23(2):114-124.    doi: 10.13104/imri.2019.23.2.114.


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