Evidence map›Paper›PMID 37358654›Full record

ArticleEmergency radiology2023

Digital tomosynthesis improves chest radiograph accuracy and reduces microbiological false negatives in COVID-19 diagnosis.

Juana María Plasencia-Martínez, Ana Moreno-Pastor, Marina Lozano-Ros, Cristina Jiménez-Pulido, Ignacio Herves-Escobedo, Gloria Pérez-Hernández, José María García-Santos

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In one paragraph

Article in Emergency radiology, 2023. 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
0.7field-weighted citation impact, top 29% 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, 3 citations in OpenAlex.

  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 at 1 institution in 1 country.

Juana María Plasencia-MartínezHospital Universitario Morales Meseguer, 30008, Murcia, ZC, Spain. juanam.plasencia@carm.es.
Ana Moreno-PastorHospital Universitario Morales Meseguer, 30008, Murcia, ZC, Spain.
Marina Lozano-RosHospital Universitario Morales Meseguer, 30008, Murcia, ZC, Spain.
Cristina Jiménez-PulidoHospital Universitario Morales Meseguer, 30008, Murcia, ZC, Spain.
Ignacio Herves-EscobedoHospital Universitario Morales Meseguer, 30008, Murcia, ZC, Spain.
Gloria Pérez-HernándezHospital Universitario Morales Meseguer, 30008, Murcia, ZC, Spain.
José María García-SantosHospital Universitario Morales Meseguer, 30008, Murcia, ZC, Spain.
Hospital General Universitario Morales Meseguer · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDiagnosing pneumonia by radiograph is improvable. We aimed (a) to compare radiograph and digital thoracic tomosynthesis (DTT) performances and agreement for COVID-19 pneumonia diagnosis, and (b) to assess the DTT ability for COVID-19 diagnosis when polymerase chain reaction (PCR) and radiograph are negative.

methodsTwo emergency radiologists with 11 (ER1) and 14 experience-years (ER2) retrospectively evaluated radiograph and DTT images acquired simultaneously in consecutively clinically suspected COVID-19 pneumonia patients in March 2020-January 2021. Considering PCR and/or serology as reference standard, DTT and radiograph diagnostic performance and interobserver agreement, and DTT contributions in unequivocal, equivocal, and absent radiograph opacities were analysed by the area under the curve (AUC), Cohen's Kappa, Mc-Nemar's and Wilcoxon tests.

resultsWe recruited 480 patients (49 ± 15 years, 277 female). DTT increased ER1 (from 0.76, CI95% 0.7-0.8 to 0.79, CI95% 0.7-0.8; P=.04) and ER2 (from 0.77 CI95% 0.7-0.8 to 0.80 CI95% 0.8-0.8, P=.02) radiograph-AUCs, sensitivity, specificity, predictive values, and positive likelihood ratio. In false negative microbiological cases, DTT suggested COVID-19 pneumonia in 13% (4/30; P=.052, ER1) and 20% (6/30; P=.020, ER2) more than radiograph. DTT showed new or larger opacities in 33-47% of cases with unequivocal opacities in radiograph, new opacities in 2-6% of normal radiographs and reduced equivocal opacities by 13-16%. Kappa increased from 0.64 (CI95% 0.6-0.8) to 0.7 (CI95% 0.7-0.8) for COVID-19 pneumonia probability, and from 0.69 (CI95% 0.6-0.7) to 0.76 (CI95% 0.7-0.8) for pneumonic extension.

conclusionDTT improves radiograph performance and agreement for COVID-19 pneumonia diagnosis and reduces PCR false negatives.

Indexed as

COVID-19PneumoniaCOVID-19 TestingFemaleHumansRadiography, ThoracicRetrospective StudiesSensitivity and SpecificityTomography, X-Ray ComputedCOVID-19DiagnosisRadiation dosageRadiographyTomography, X-ray computed

Identifiers

PMID37358654
OpenAlexW4382011892

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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.