Evidence map›Paper›PMID 34903187›Full record

ArticleBMC medical imaging2021

Comparison of lung image quality between CT Ark and Brilliance 64 CT during COVID-19.

Gonghua Dai, Jiying Duan, Liang Zheng, Miao He, Yanshan Dai, Mingming Zhang, Shuguang Chu

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 51% of its field
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 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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 at 1 institution in 1 country.

Gonghua DaiDepartment of Radiology, East Hospital, Tongji University, No. 150, Jimo Road, Pudong New District, Shanghai, 200120, China.
Jiying DuanDepartment of Radiology, East Hospital, Tongji University, No. 150, Jimo Road, Pudong New District, Shanghai, 200120, China.
Liang ZhengResearch Center for Translation Medicine, East Hospital, Tongji University, Shanghai, 200120, China.
Miao HeDepartment of Radiology, East Hospital, Tongji University, No. 150, Jimo Road, Pudong New District, Shanghai, 200120, China.
Yanshan DaiDepartment of Radiology, East Hospital, Tongji University, No. 150, Jimo Road, Pudong New District, Shanghai, 200120, China.
Mingming ZhangDepartment of Radiology, East Hospital, Tongji University, No. 150, Jimo Road, Pudong New District, Shanghai, 200120, China.
Shuguang ChuDepartment of Radiology, East Hospital, Tongji University, No. 150, Jimo Road, Pudong New District, Shanghai, 200120, China. chushuguang_2020@163.com.
Shanghai East Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study is to compare the lung image quality between shelter hospital CT (CT Ark) and ordinary CT scans (Brilliance 64) scans.

methodsThe patients who received scans with CT Ark or Brilliance 64 CT were enrolled. Their lung images were divided into two groups according to the scanner. The objective evaluation methods of signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were used. The subjective evaluation methods including the evaluation of the fine structure under the lung window and the evaluation of the general structure under the mediastinum window were compared. Kappa method was used to assess the reliability of the subjective evaluation. The subjective evaluation results were analyzed using the Wilcoxon rank sum test. SNR and CNR were tested using independent sample t tests.

resultsThere was no statistical difference in somatotype of enrolled subjects. The Kappa value between the two observers was between 0.68 and 0.81, indicating good consistency. For subjective evaluation results, the rank sum test P value of fine structure evaluation and general structure evaluation by the two observers was ≥ 0.05. For objective evaluation results, SNR and CNR between the two CT scanners were significantly different (P<0.05). Notably, the absolute values ​​of SNR and CNR of the CT Ark were larger than Brilliance 64 CT scanner.

conclusionCT Ark is fully capable of scanning the lungs of the COVID-19 patients during the epidemic in the shelter hospital.

Indexed as

AdultAgedChinaCOVID-19FemaleHumansLungMaleMiddle AgedMobile Health UnitsObserver VariationPandemicsSARS-CoV-2Signal-To-Noise RatioTomography, X-Ray ComputedBrilliance 64 CTCOVID-19CT ArkImage quality evaluationThe shelter hospital CT

Identifiers

PMID34903187
PMCPMC8666470
OpenAlexW4200074473

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.