Evidence map›Paper›PMID 39849362›Full record

ArticleBMC cardiovascular disorders2025

Feasibility analysis of non-electrocardiogram-triggered chest low-dose computed tomography using a kV-independent reconstruction algorithm for predicting cardiovascular disease risk in patients receiving maintenance hemodialysis.

Xiangming Wang, Ao Liu, Yan Zhao, Xianbo Yu, Yushuo Cao, Min Li, Jing Liu, Yu Du, Li Yang

Abstract read
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Article in BMC cardiovascular disorders, 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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xiangming Wang *Department of Computed Tomography and Magnetic Resonance, Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID 0000-0001-5543-1981
Ao Liu *Department of Computed Tomography and Magnetic Resonance, Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID 0009-0006-0229-5625
Yan ZhaoSchool of Mathematics and Science, Hebei GEO University, Shijiazhuang, China.ORCID 0009-0003-9632-3268
Xianbo YuCT Collaboration, Siemens Healthineers Ltd, Beijing, China.ORCID 0000-0002-2094-0337
Yushuo CaoDepartment of Computed Tomography and Magnetic Resonance, Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID 0009-0003-3313-6991
Min LiDepartment of Computed Tomography and Magnetic Resonance, Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID 0000-0002-3932-2969
Jing LiuDepartment of Computed Tomography and Magnetic Resonance, Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID 0009-0008-2772-0418
Yu DuDepartment of Computed Tomography and Magnetic Resonance, Fourth Hospital of Hebei Medical University, Shijiazhuang, China.ORCID 0009-0000-5215-9660
Li YangDepartment of Computed Tomography and Magnetic Resonance, Fourth Hospital of Hebei Medical University, Shijiazhuang, China. 48000664@hebmu.edu.cn.ORCID 0000-0003-1053-4519

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to evaluate the feasibility and accuracy of non-electrocardiogram (ECG)-triggered chest low-dose computed tomography (LDCT) with a kV-independent reconstruction algorithm in assessing coronary artery calcification (CAC) degree and cardiovascular disease risk in patients receiving maintenance hemodialysis (MHD).

methodsIn total, 181 patients receiving MHD who needed chest CT and coronary artery calcium score (CACS) scannings sequentially underwent non-ECG-triggered, automated tube voltage selection, high-pitch chest LDCT with a kV-independent reconstruction algorithm and ECG-triggered standard CACS scannings. Then, the image quality, radiation doses, Agatston scores (ASs), and cardiac risk classifications of the two scans were compared.

resultsOf the 181 patients, 89, 83, and 9 were scanned at 100, 110, and 120 kV, respectively. Excluding those scanned at 120 kV, 172 patients were enrolled. Although the ASs of non-ECG-triggered LDCT were lower than those of the standard CACS, the agreement and correlation of ASs of the two scans were excellent, and both intraclass correlation coefficients (ICCs) and Pearson's correlation coefficients were > 0.96. Cardiac risk classifications did not significantly differ between the non-ECG-triggered LDCT and standard CACS (χ

conclusionsThe non-ECG-triggered, automated tube voltage selection, high-pitch chest LDCT protocol with a kV-independent reconstruction algorithm can obtain chest scans and ASs simultaneously and significantly reduce patients' radiation exposure.

Indexed as

AlgorithmsComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseMultidetector Computed TomographyRadiation DosageRadiographic Image Interpretation, Computer-AssistedRenal DialysisVascular CalcificationAgedFeasibility StudiesFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedCoronary artery diseaseRadiation dosageRisk factorsTomography, X-ray computedVascular calcification

Identifiers

PMID39849362
PMCPMC11759427

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