Evidence map›Paper›PMID 39669141›Full record

ArticleHeliyon2024

Optimizing acute chest pain diagnosis: Efficacy of 64-channel multi-slice CT with Snap-Shot Freeze technique in Triple-Rule-out CT angiography.

Jie Feng, Jiale Zeng, Qiye Xu, Jiatian Lu, Yanru Pei, Xiang Zhang, Ming Gao

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Jie FengDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, China.
Jiale ZengDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, China.
Qiye XuDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, China.
Jiatian LuDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, China.
Yanru PeiDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, China.
Xiang ZhangDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, China.
Ming GaoDepartment of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Road West, Guangzhou, 510120, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study evaluates the efficacy of Snap-Shot Freeze (SSF) technology combined with optimized contrast medium (CM) injection protocols in Triple-Rule-Out (TRO) computed tomography angiography (CTA) using 64-channel multi-slice CT (MSCT) for diagnosing acute chest pain (ACP). Materials and methods: A total of 111 patients presenting with ACP were enrolled and divided into two groups: Group 1 (23 patients) underwent TRO CTA using 64-channel MSCT with SSF technology, while the control group (88 patients) which was further divided into three cohorts underwent specific site CTA scans. Quantitative metrics such as CT values, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were calculated for pulmonary artery, coronary arteries, and aortic imaging. Demographic characteristics, image qualification rate and disease diagnosis rate of groups 1-4 were also evaluated. Qualitative evaluations were based on a 5-point scoring system assessing overall image quality, vessel clarity, and artifact presence. Radiation doses were measured in terms of CT dose index volume (CTDIvol), dose length product (DLP), and effective dose (ED). Results: The demographic characteristics of the patients showed no significant differences in age, BMI, or resting heart rate between Group 1 and the control group. The image qualification rate was 100 % for both groups, with excellent rates of 89.13 % in Group 1 and 85.67 % in the control group. No significant differences were found in average CT values, standard deviation (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) between Group 1 and the control group for pulmonary artery (e.g., PT: 394.25 ± 124.19 vs 383.64 ± 115.72 HU, p = 0.74), coronary artery (e.g., AA: 483.71 ± 115.62 vs 493.95 ± 138.54 HU, p = 0.79), and aorta (e.g., AAo: 325.1 ± 99.39 vs 348.98 ± 74.23 HU, p = 0.34). Qualitative image quality scores and radiation doses were also comparable (e.g., ED: 28.36 ± 12.6 vs 29.97 ± 10.36 mSv, p = 0.77). Qualitative assessments also revealed comparable image quality scores between the two groups (4.5 ± 0.5 vs 4.3 ± 0.6). The total volume of iodinated CM was significantly reduced in Group 1 (66 mL vs 227 mL). Conclusion: The use of 64-channel MSCT combined with SSF technology in TRO CTA provides noninferior high-quality imaging comparable to traditional specific site CTA, with the added benefits of reduced CM volume and shorter examination times. This approach is effective for the comprehensive evaluation of ACP in clinical practice.

Indexed as

64-Channel multi-slice CT(ACP)Acute chest pain(CM)Computed tomography angiographyContrast medium(CTA)Image quality(MSCT)Radiation doseSnap-Shot Freeze(SSF)Triple-Rule-out(TRO)

Identifiers

PMID39669141
PMCPMC11635669

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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.