Evidence map›Paper›PMID 40374835›Full record

ArticleJapanese journal of radiology2025

The effect of a whole-heart motion correction algorithm on image quality, calcium score, and risk category classification of non-contrast-enhanced cardiac CT.

Lihong Chen, Gongting Chen, Pan Zhao, Huan Wang, Bing Liu, Jiahao Chun, Yanhui Hao, Ning Pan, Zhijie Jian, Jianxin Guo

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Article in Japanese journal of radiology, 2025. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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5 · Who and what money

Authors and funding

10 authors.

Lihong ChenDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Gongting ChenDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Pan ZhaoDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Huan WangDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Bing LiuDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Jiahao ChunDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Yanhui HaoDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Ning PanBayer Healthcare Company Limited, Xi'an, 710061, China.
Zhijie JianDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China.
Jianxin GuoDepartment of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, China. gjx1665@xjtufh.edu.cn.

Funding

3D Printing Medical Research Support Project of the First Affiliated Hospital of Xi'an Jiaotong University NO. XJTU1AF-3D-2018-003Science Development Foundation of the First Affiliated Hospital of Xi'an Jiaotong University 2018QN-14Shanxi Provincial Key Research and Development Project- Joint University Project NO. 2020GXLH-Y-026
6 · The paper itself

Abstract

purposeTo evaluate the effect of a whole-heart motion correction algorithm (Snapshot freeze 2, SSF2) on image quality, calcium score, and risk category classification of non-contrast-enhanced cardiac CT. MATERIALS AND

methodsSixty-one coronary calcium scoring scans performed on a 256-row detector CT were included. Images of standard reconstruction without motion-corrected (STD) and with SSF2 were compared. The image quality was graded by consensus of two experienced radiologists using a four-point Likert scale. The diameter of the major and minor axes at the heaviest point of a dominant calcification, as well as its volume, were measured. The Agatston score, volume score, and corresponding risk category for each patient were recorded. Paired t test, Wilcoxon test, and Bland-Altman plot were used for statistical analysis.

resultsImage quality was significantly improved with SSF2 (P < 0.001). The mean diameters of the major and minor axes were 10.5 ± 5.3 mm and 6.4 ± 6.8 mm for STD images, and 7.2 ± 4.6 mm and 4.2 ± 5.5 mm for SSF2 images, resulting in a mean volume of 149.6 ± 206.1mm

conclusionMotion correction with SSF2 in non-contrast-enhanced cardiac CT improves the image quality at both the patient and lesion level, resulting in a significant reduction in calcium score and risk category downgrade.

Indexed as

AlgorithmsHeartImage Processing, Computer-AssistedTomography, X-Ray ComputedAgedCoronary VesselsFemaleHumansMaleMiddle AgedMotionRadiographic Image Interpretation, Computer-AssistedVascular CalcificationCalcium scoreCoronary artery diseaseImage qualityMotion correctionRisk category

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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.