Evidence map›Paper›PMID 41882946›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2026

Effect of SnapShot Freeze 2 on Reducing Pulsation Artifacts in Coronary Artery Imaging of Patients With High Heart Rates.

Ke Ning, Liyi He, Wenzhao Zhang, Yufeng Qiu

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ke NingDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Liyi HeDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wenzhao ZhangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yufeng QiuDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND This study aimed to evaluate the effect of SnapShot Freeze 2 (SSF2) on reducing pulsation artifacts in coronary artery imaging of patients with high heart rates, compared with SnapShot Freeze (SSF) and not using SSF (no-SSF). MATERIAL AND METHODS End-diastolic (70-80% phase) and end-systolic (40-50% phase) images from 50 patients with heart rates above 80 bpm who underwent coronary computed tomography angiography (CCTA) in the Department of Radiology at our hospital between January and June 2023 were included. Subjective, objective, and artificial intelligence (AI)-enabled assessments were performed to evaluate image quality across coronary artery segments, artifact indices, and number of coronary artery segments detected by the AI system for images processed with each algorithm. RESULTS SSF2 yielded significantly higher subjective image-quality scores than SSF and no-SSF in both diastolic and systolic phases (all P<0.001). The artifact index was significantly lower in SSF2 images (F=25.645, P<0.05 for diastolic phases; F=6.959, P<0.05 for systolic phases). In the AI-enabled evaluation, SSF2 images contained significantly more analyzable coronary artery segments than those reconstructed with SSF or without motion correction (all P<0.05), indicating improved image interpretability after SSF2 reconstruction. CONCLUSIONS SSF2 may improve coronary artery image quality and reduce motion artifacts in patients with high heart rates during CCTA. These findings suggest that SSF2 enhances both subjective assessment and AI-based diagnostic performance, although further multicenter studies are warranted to confirm its clinical impact.

Indexed as

Computed Tomography AngiographyCoronary AngiographyCoronary VesselsHeart RateAgedAlgorithmsArtifactsDiastoleFemaleHumansImage Processing, Computer-AssistedMaleMiddle Aged

Identifiers

PMID41882946
PMCPMC13037444

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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.