Evidence map›Paper›PMID 40785901›Full record

ArticleQuantitative imaging in medicine and surgery2025

Visualized breath-hold training for reducing respiratory motion artifacts in liver dynamic contrast-enhanced magnetic resonance imaging.

Xin Luo, Gen Chen, Shufeng Zhang, Xuemei Hu, Chao Huang

Abstract read
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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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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xin LuoRadiology Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Gen ChenRadiology Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shufeng ZhangRadiology Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xuemei HuRadiology Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Chao HuangRadiology Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0003-1235-1281

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

image qualityliver dynamic contrast-enhanced magnetic resonance imaging (liver DCE-MRI)respiratory artifactsVisualized breath-hold training (VBT)

Identifiers

PMID40785901
PMCPMC12332653

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.