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ArticleEuropean radiology2025

Optimizing coronary CT angiography quality with motion-compensated reconstruction for second-generation dual-layer spectral detector CT.

Shengmei Liu, Linyan Huang, Shen Gui, Xueting Pang, Jing Liu, Xue Li, Yinqiu Wang, Wenzhang He, Xiaodi Zhang, Liqing Peng

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Shengmei Liu *Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China.
Linyan Huang *Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China.
Shen GuiDepartment of Clinical Science, Philips Healthcare, Shanghai, China.
Xueting PangDepartment of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China.
Jing LiuDepartment of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China.
Xue LiDepartment of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China.
Yinqiu WangDepartment of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China.
Wenzhang HeDepartment of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China.
Xiaodi ZhangDepartment of Clinical Science, Philips Healthcare, Shanghai, China.
Liqing PengDepartment of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China. pengliqing@scu.edu.cn.ORCID http://orcid.org/0000-0002-2376-3268

Funding

Key Research & Development Project of Science and Technology of Sichuan Province 2021YFS0142National Natural Science Foundation of China 81601462
6 · The paper itself

Abstract

objectivesTo investigate the effect of motion-compensated reconstruction (MCR) algorithm on improving the image quality of coronary computed tomography angiography (CCTA) using second-generation dual-layer spectral detector computed tomography (DLCT), and to evaluate the influence of heart rate (HR) on the motion-correction efficacy of this algorithm. MATERIALS AND

methodsWe retrospectively enrolled 127 patients who underwent CCTA for suspected coronary artery disease using second-generation DLCT. We divided the patients into two subgroups according to their average HR during scanning: the "HR < 75 bpm" group and the "HR ≥ 75 bpm" group. All images were reconstructed by the standard (STD) algorithm and MCR algorithm. Subjective image quality (4-point Likert scale), interpretability, and objective image quality between the STD and MCR in the whole population and within each subgroup were compared.

resultsMCR showed significantly higher Likert scores and interpretability than STD on the per-segment (3.58 ± 0.69 vs. 2.82 ± 0.93, 98.4% vs. 91.9%), per-vessel (3.12 ± 0.81 vs. 2.12 ± 0.74, 96.3% vs. 78.7%) and per-patient (2.57 ± 0.76 vs. 1.62 ± 0.55, 90.6% vs. 59.1%) levels (all p < 0.001). In the analysis of HR subgroups on a per-vessel basis of interpretability, significant differences were observed only in the right coronary artery in the low HR group, whereas significant differences were noted in three major coronary arteries in the high HR group. For objective image quality assessment, MCR significantly improved the SNR (13.22 ± 4.06 vs. 12.72 ± 4.06) and the contrast-to-noise ratio (15.84 ± 4.82 vs. 15.39 ± 4.38) compared to STD (both p < 0.001).

conclusionMCR significantly improves the subjective image quality, interpretability, and objective image quality of CCTA, especially in patients with higher HRs. CLINICAL RELEVANCE STATEMENT: The motion-compensated reconstruction algorithm of the second-generation dual-layer spectral detector computed tomography is helpful in improving the image quality of coronary computed tomography angiography in clinical practice, especially in patients with higher heart rates. KEY POINTS: Motion artifacts from cardiac movement affect the quality and interpretability of coronary computed tomography angiography (CCTA). This motion-compensated reconstruction (MCR) algorithm significantly improves the image quality of CCTA in clinical practice. Image quality improvement by using MCR was more significant in the high heart rate group.

Indexed as

AlgorithmsComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseHeart RateAgedArtifactsFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedMotionRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesArtifactsCoronary computed tomography angiographyCoronary vesselsHeart rateMotion

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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.