Free-Breathing Cine Deep-Learning Sequence an Option for Patients Who Can't Hold Breath

Free-breathing cine-deep learning (DL) may yield reliable left ventricular ejection fraction (LVEF) measurements in patients with ischemic heart disease (IHD) unable to repeatedly breath-hold, according to a study published in the American Journal of Roentgenology (AJR).

“Free-breathing cine-DL sequence, in comparison with standard breath-hold cine sequence, showed very small bias for LVEF measurements and better subjective quality,” wrote David Monteuuis, MD, from the department of radiology at Amiens University Hospital in France. “Cine-DL yielded greater left ventricular volumes.”

The study included patients undergoing 1.5-T or 3-T cardiac MRI for evaluation of IHD (March 15–June 21, 2023). Examinations included an investigational free-breathing cine short-axis sequence with DL reconstruction (cine-DL). In blinded fashion, two radiologists (R1, R2) independently assessed LVEF, left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), and subjective image quality, for cine-DL sequence and standard breath-hold balanced SSFP sequences; R1 assessed artifacts.

Ultimately, in patients with IHD, the free-breathing cine sequence with DL reconstruction showed very low bias for LVEF measurements (R1: 0.4%; R2: 0.7%) and better subjective image quality (R1: 2.3±0.5 vs 1.9±0.8; R2: 2.2±0.4 vs 1.9±0.7) in shorter acquisition times (0.6±0.1 vs 2.4±0.6 min).

“This free-breathing cine-DL sequence could be particularly useful in the evaluation of patients with dyspnea who are unable to perform repeated breath-holds,” the authors noted.

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