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. 2021 Apr 1;94(1120):20201249.
doi: 10.1259/bjr.20201249. Epub 2021 Mar 18.

Reliability of respiratory-triggered two-dimensional cine k-adaptive-t-autocalibrating reconstruction for Cartesian sampling for the assessment of biventricular volume and function in patients with repaired tetralogy of Fallot

Affiliations

Reliability of respiratory-triggered two-dimensional cine k-adaptive-t-autocalibrating reconstruction for Cartesian sampling for the assessment of biventricular volume and function in patients with repaired tetralogy of Fallot

Makoto Orii et al. Br J Radiol. .

Abstract

Objective: To compare left ventricular (LV) and right ventricular (RV) volume, function, and image quality of a respiratory-triggered two-dimensional (2D)-cine k-adaptive-t-autocalibrating reconstruction for Cartesian sampling (2D kat-ARC) with those of the standard reference, namely, breath-hold 2D balanced steady-state free precession (2D SSFP), in patients with repaired tetralogy of Fallot (TOF).

Methods: 30 patients (14 males, mean age 32.2 ± 13.9 years) underwent cardiac magnetic resonance, and 2D kat-ARC and 2D SSFP images were acquired on short-axis view. Biventricular end-diastolic volume (EDV) and end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF), and LV mass (LVM) were analysed.

Results: The 2D kat-ARC had significantly shorter scan time (35.2 ± 9.1 s vs 80.4 ± 16.7 s; p < 0.0001). Despite an analysis of image quality showed significant impairment using 2D kat-ARC compared to 2D SSFP cine (p < 0.0001), the two sequences demonstrated no significant difference in terms of biventricular EDV, LVESV, LVSV, LVEF, and LVM. However, the RVESV was overestimated for 2D kat-ARC compared with that for 2D SSFP (73.8 ± 43.2 ml vs 70.3 ± 44.5 ml, p = 0.0002) and the RVSV and RVEF were underestimated (RVSV = 46.2±20.5 ml vs 49.4 ± 20.4 ml, p = 0.0024; RVEF = 40.2±12.7% vs. 43.5±14.0%, p = 0.0002).

Conclusion: Respiratory-triggered 2D kat-ARC cine is a reliable technique that could be used in the evaluation of LV volumes and function.

Advances in knowledge: 2D cine kat-ARC is a reliable technique for the assessment LV volume and function in patients with repaired TOF.

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Figures

Figure 1.
Figure 1.
Bland–Altman parameters analysis results of left ventricle using 2D SSFP and 2D kat-ARC images. Caption: The graphs depict the relationships between the means and differences for each functional parameter. Solid line: bias; dotted lines: upper and lower 95% limits of agreement. 2D SSFP, Two-dimensional steady-state free precession; 2D kat-ARC, Two-dimensional k-adaptive-t autocalibratingreconstructionfor artesian sampling; LVEDV, Left ventricular (LV) end-diastolic volume; LVESV, LV end-systolic volume; LVSV, LV stroke volume; LVEF, LV ejection fraction; LVM, LV mass.
Figure 2.
Figure 2.
Bland–Altman parameters analysis results of right ventricle using 2D SSFP and 2D kat-ARC images. Caption: The graphs depict the relationships between the means and differences for each functional parameter. Solid line: bias; dotted lines: upper and lower 95% limits of agreement. 2D SSFP, Two-dimensional steady-state free precession; 2D kat-ARC, Two-dimensional k-adaptive-t autocalibratingreconstructionfor artesian sampling; RVEDV, Right ventricular(RV) end-diastolic volume; RVESV, RV end-systolic volume; RVSV, RV stroke volume; RVEF, RV ejection fraction.
Figure 3.
Figure 3.
A representative case of 2D SSFP and 2D kat-ARC imaging in the same patient (end-diastole). Caption: End-diastole with the apex located through basal slices. 2D SSFP, Two-dimensional steady-state free precession; 2D kat-ARC, Two-dimensional k-adaptive-t autocalibratingreconstructionfor artesian sampling.
Figure 4.
Figure 4.
A representative case of 2D SSFP and 2D kat-ARC imaging in the same patient (end-systole). Caption: End-systole with the apex located through basal slices. There was substantial motion blurring and degradation of endocardial edge delineation with 2D kat-ARC cine imaging in end-systole. 2D SSFP, Two-dimensional steady-state free precession; 2D kat-ARC, Two-dimensional k-adaptive-t autocalibratingreconstructionfor artesian sampling.

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