Evidence map›Paper›PMID 36420119›Full record

ArticleEuropean journal of radiology open2022

Prospective evaluation of thoracic diseases using a compact flat-panel detector spiral computed tomographic scanner.

Da Som Kim, Seung-Jin Yoo, Jung Hee Hong, Nakwon Kwak, Jae-Joon Yim, Soon Ho Yoon

Open access · goldAbstract read
In one paragraph

Article in European journal of radiology open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 74% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 5 institutions in 1 country.

Da Som KimDepartment of Radiology, Inje University Busan Paik Hospital, Inje University College of Medicine, Busan, South Korea.
Seung-Jin YooDepartment of Radiology, Hanyang University Medical Center, Hanyang University College of Medicine, Seoul, South Korea.
Jung Hee HongDepartment of Radiology, Keimyung University School of Medicine, Daegu, South Korea.
Nakwon KwakDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.
Jae-Joon YimDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.
Soon Ho YoonDepartment of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Seoul National University Hospital · KRHanyang University Medical Center · KRInje University Busan Paik Hospital · KRKeimyung University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To prospectively evaluate the image quality and diagnostic performance of a compact flat-panel detector (FD) scanner for thoracic diseases compared to a clinical CT scanner. Materials and methods: The institutional review board approved this single-center prospective study, and all participants provided informed consent. From December 2020 to May 2021, 30 patients (mean age, 67.1 ± 8.3 years) underwent two same-day low-dose chest CT scans using clinical state-of-art and compact FDCT scanners. Image quality was assessed visually and quantitatively. Two readers evaluated the diagnostic performance for nodules, parenchymal opacifications, bronchiectasis, linear opacities, and pleural abnormalities in 40 paired CT scans. The other 20 paired CT scans were used to examine the agreement of semi-quantitative CT scoring regarding bronchiectasis, bronchiolitis, nodules, airspace consolidations, and cavities. Results: FDCT images had significantly lower visual image quality than clinical CT images (all Conclusion: Compact FDCT images provided lower image quality but comparable diagnostic performance to clinical CT images for nodules, parenchymal opacifications, linear opacities, and pleural abnormalities.

Indexed as

CNR, contrast-to-noise ratioComputed tomographyCOVID-19, coronavirus disease 2019CT, computed tomographyDiagnosisFD, flat-panel detectorFlat panel detectorICC, intraclass correlation coefficientLDCT, low-dose CTNTM, nontuberculous mycobacterialPOC, point-of-careROI, region of interestSNR, signal-to-noise ratioThoracic disease

Identifiers

PMID36420119
PMCPMC9676219
OpenAlexW4310336325

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.