Evidence map›Paper›PMID 38415146›Full record

ArticleQuantitative imaging in medicine and surgery2024

Application of deep learning image reconstruction-high algorithm in one-stop coronary and carotid-cerebrovascular CT angiography with low radiation and contrast doses.

Wanjiang Li, Wenyu Huang, Peiyao Li, Yuting Wen, Tao Shuai, Yong He, Yongchun You, Jianqun Yu, Kaiyue Diao, Bin Song

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

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.

Wanjiang Li *Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Wenyu Huang *Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Peiyao LiWest China School of Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yuting WenDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Tao ShuaiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Yong HeDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Yongchun YouDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Jianqun YuDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Kaiyue DiaoDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Bin SongDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: For patients with suspected simultaneous coronary and cerebrovascular atherosclerosis, conventional single-site computed tomography angiography (CTA) for both sites can result in nonnegligible radiation and contrast agent dose. The purpose of this study was to validate the feasibility of one-stop coronary and carotid-cerebrovascular CTA (C&CC-CTA) with a "double-low" (low radiation and contrast) dose protocol reconstructed with deep learning image reconstruction with high setting (DLIR-H) algorithm. Methods: From February 2018 to January 2019, 60 patients referred to C&CC-CTA simultaneously in West China Hospital were recruited in this prospective cohort study. By random assignment, patients were divided into two groups: double-low dose group (n=30) used 80 kVp and 24 mgI/kg/s contrast dose with images reconstructed using DLIR-H; and routine-dose group (n=30) used 100 kVp and 32 mgI/kg/s contrast dose with images reconstructed using 50% adaptive statistical iterative reconstruction-V (ASIR-V50%). Radiation and contrast doses, subjective image quality score, CT attenuation values, noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were measured and compared between the groups. Results: The DLIR-H group used 30% less contrast dose (35.80±4.85 Conclusions: The "double-low" dose one-stop C&CC-CTA with DLIR-H obtained higher image quality compared with the routine-dose protocol with ASIR-V50% while achieving 48% and 30% reduction in radiation and contrast dose, respectively.

Indexed as

computed tomography angiography (CTA)Coronary artery disease (CAD)image qualitystroke

Identifiers

PMID38415146
PMCPMC10895143

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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.