Evidence map›Paper›PMID 35041136›Full record

ArticleLa Radiologia medica2022

The diagnostic value of grey-scale inversion technique in chest radiography.

Roberta Eufrasia Ledda, Mario Silva, Nicole McMichael, Carlotta Sartorio, Cristina Branchi, Gianluca Milanese, Sundeep M Nayak, Nicola Sverzellati

Open access · hybridAbstract read
In one paragraph

Article in La Radiologia medica, 2022. 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
1.8field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

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  8. Immunotherapy Assessment: A New Paradigm for Radiologists.Diagnostics (Basel, Switzerland) · 2023
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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

8 authors at 3 institutions in 3 countries.

Roberta Eufrasia Ledda *Department of Medicine and Surgery, University of Parma, Scienze Radiologiche, University Hospital of Parma, Padiglione Barbieri, Via Gramsci 14, 43126, Parma, Italy.
Mario Silva *Department of Medicine and Surgery, University of Parma, Scienze Radiologiche, University Hospital of Parma, Padiglione Barbieri, Via Gramsci 14, 43126, Parma, Italy.
Nicole McMichaelDepartment of Radiology Diagnostics, Skåne University Hospital of Malmö, Malmö, Sweden.
Carlotta SartorioDepartment of Medicine and Surgery, University of Parma, Scienze Radiologiche, University Hospital of Parma, Padiglione Barbieri, Via Gramsci 14, 43126, Parma, Italy.
Cristina BranchiDepartment of Medicine and Surgery, University of Parma, Scienze Radiologiche, University Hospital of Parma, Padiglione Barbieri, Via Gramsci 14, 43126, Parma, Italy.
Gianluca MilaneseDepartment of Medicine and Surgery, University of Parma, Scienze Radiologiche, University Hospital of Parma, Padiglione Barbieri, Via Gramsci 14, 43126, Parma, Italy. gianluca.milanese@unipr.it.
Sundeep M NayakDepartment of Radiology, Kaiser Permanente Northern California, San Leandro, CA, USA.
Nicola SverzellatiDepartment of Medicine and Surgery, University of Parma, Scienze Radiologiche, University Hospital of Parma, Padiglione Barbieri, Via Gramsci 14, 43126, Parma, Italy.
University of Parma · ITKaiser Permanente San Leandro Medical Center · USSkåne University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe investigated whether the additional use of grey-scale inversion technique improves the interpretation of eight chest abnormalities, in terms of diagnostic performance and interobserver variability. MATERIAL AND

methodsA total of 507 patients who underwent a chest computed tomography (CT) examination and a chest radiography (CXR) within 24 h were enrolled. CT was the standard of reference. Images were retrospectively reviewed for the presence of atelectasis, consolidation, interstitial abnormality, nodule, mass, pleural effusion, pneumothorax and rib fractures. Four CXR reading settings, involving 3 readers were organized: only standard; only inverted; standard followed by inverted; and inverted followed by standard. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy, assessed with the area under the curve (AUC), and their 95% confidence interval were calculated for each reader and setting. Interobserver agreement was tested by Cohen's K test with quadratic weights (K

resultsCXR sensitivity % for any finding was 35.1 (95% CI: 33 to 37) for setting 1, 35.9 (95% CI: 33 to 37), for setting 2, 32.59 (95% CI: 30 to 34) for setting 3, and 35.56 (95% CI: 33 to 37) for setting 4; specificity % 93.78 (95% CI: 91 to 95), 93.92 (95% CI: 91 to 95), 94.43 (95% CI: 92 to 96), 93.86 (95% CI: 91 to 95); PPV % 56.22 (95% CI: 54.2 to 58.2), 56.49 (95% CI: 54.5 to 58.5), 57.15 (95% CI: 55 to 59), 56.75 (95% CI: 54 to 58); NPV % 85.66 (95% CI: 83 to 87), 85.74 (95% CI: 83 to 87), 85.29 (95% CI: 83 to 87), 85.73 (95% CI: 83 to 87); AUC values 0.64 (95% CI: 0.62 to 0.66), 0.65 (95% CI: 0.63 to 0.67), 0.64 (95% CI: 0.62 to 0.66), 0.65 (95% CI: 0.63 to 0.67); K

conclusionsNo significant advantages were observed in the use of grey-scale inversion technique neither over standard display mode nor in combination at the detection of eight chest abnormalities.

Indexed as

Lung DiseasesRadiography, ThoracicHumansRadiographyRetrospective StudiesSensitivity and SpecificityTomography, X-Ray ComputedChest radiographyDiagnostic performance of chest radiographyGrey-scale inversionInterobserver agreement

Identifiers

PMID35041136
PMCPMC8960630
OpenAlexW4206610384

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.