ArticleQuantitative imaging in medicine and surgery2025
Visualized breath-hold training for reducing respiratory motion artifacts in liver dynamic contrast-enhanced magnetic resonance imaging.
Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Deep-Inspiration Breath-Hold Strategy Improves Image Quality of Transthoracic Lateral Shoulder Radiography.Diagnostics (Basel, Switzerland) · 2026Article
- [The digital patient journey : Performing radiological examinations].Radiologie (Heidelberg, Germany) · 2026Review
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5 authors.
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Abstract
Background: Liver dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays a critical role in detecting hepatic lesions but is highly susceptible to respiratory motion artifacts. Although advancements in rapid magnetic resonance (MR) acquisition techniques have been made, breath-hold acquisitions are predominantly used for abdominal DCE-MRI due to their superior image quality. Therefore, prescan breath-hold training is essential to improving patients' compliance and minimizing respiratory artifacts. Traditional oral training methods, which rely on operators monitoring chest/abdominal movement, are subjective and often insufficient for DCE-MRI requirements, leading to suboptimal image quality and potential risks from repeated contrast administration. To address these limitations, we developed a novel visual breath-hold training instrument and evaluated its efficacy in reducing respiratory artifacts. Methods: This retrospective study included 174 patients undergoing liver DCE-MRI (pre-contrast, early arterial, late arterial, portal, and parenchymal phases). Patients were divided into two groups: the visualized breath-hold training (VBT) group (n=87) and the oral breath-hold training (OBT) group (n=87). In the VBT group, breath-hold training was performed with a self-designed visualized respiration training device. Operators objectively assessed training performance and provided individual guidance. In the OBT group, conventional training, with standard verbal instructions and tactile examination of the patients' chest and abdomen, was applied. For analyzing image quality, quantitative metrics [signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR)] and qualitative respiratory artifact scores were compared between groups with the Mann-Whitney Results: The VBT group had a significantly higher SNR and CNR than did the OBT group in the pre-contrast (SNR: P=0.018; CNR: P=0.006), late arterial (SNR: P=0.016; CNR: P=0.029), portal (SNR: P=0.003; CNR: P=0.002), and parenchymal phases (SNR: P=0.044; CNR: P=0.010). Respiratory artifact scores were lower in the VBT group across all phases (pre-contrast: P=0.021; early arterial: P=0.002; late arterial: P=0.001; portal: P<0.001; parenchymal: P<0.001). Diaphragmatic consistency during sequential breath-holds was significantly higher in the VBT group between the early arterial and portal phases (P=0.046) and the late arterial and portal phases (P=0.011) as compared to the OBT group. Intra-individual subgroup analysis further confirmed the reduction of artifacts in the pre-contrast phase scans (P=0.010). Conclusions: VBT effectively reduces respiratory motion artifacts and enhances image quality in liver DCE-MRI by improving patient compliance. This approach holds promise for optimizing clinical workflows and diagnostic accuracy, especially in populations with limited breath-hold capacity.
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