Evidence map›Paper›PMID 31087215›Full record

ArticleLa Radiologia medica2019

How radiology can help pulmonary tuberculosis diagnosis: analysis of 49 patients.

Edoardo Carlesi, Martina Orlandi, Jessica Mencarini, Filippo Bartalesi, Chiara Lorini, Guglielmo Bonaccorsi, Letizia Macconi, Valeria Selvi, Alessandro Bartoloni, Stefano Colagrande

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Article in La Radiologia medica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
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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

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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

8 citing papers in PubMed.

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4 · The record

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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

10 authors.

Edoardo CarlesiDepartment of Experimental and Clinical Biomedical Sciences Radiodiagnostic Unit n. 2, University of Florence, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy.
Martina OrlandiRheumatology Unit, Department of Experimental and Clinical Medicine, University of Florence, Azienda Ospedaliero-Universitaria Careggi, 50134, Florence, Italy.
Jessica MencariniInfectious Diseases Unit, Department of Experimental and Clinical Medicine, University of Florence, 50134, Florence, Italy.
Filippo BartalesiInfectious and Tropical Diseases Unit, Azienda Ospedaliero-Universitaria Careggi, 50134, Florence, Italy.
Chiara LoriniDepartment of Health Science, University of Florence, Viale G.B. Morgagni 48, 50134, Florence, Italy.
Guglielmo BonaccorsiDepartment of Health Science, University of Florence, Viale G.B. Morgagni 48, 50134, Florence, Italy.
Letizia MacconiDepartment of Experimental and Clinical Biomedical Sciences Radiodiagnostic Unit n. 2, University of Florence, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy.
Valeria SelviDepartment of Experimental and Clinical Biomedical Sciences Radiodiagnostic Unit n. 2, University of Florence, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy.
Alessandro BartoloniInfectious Diseases Unit, Department of Experimental and Clinical Medicine, University of Florence, 50134, Florence, Italy.
Stefano ColagrandeDepartment of Experimental and Clinical Biomedical Sciences Radiodiagnostic Unit n. 2, University of Florence, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134, Florence, Italy. stefano.colagrande@unifi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify the most frequent radiological findings of pulmonary tuberculosis using CT of the chest, to determine those with the highest degree of correlation, and, if possible, to identify the most suggestive radiological findings for acid-fast bacilli (AFB) positive disease. MATERIALS AND

methodsThe radiological and clinical data of 49 patients submitted to CT during diagnosis were retrospectively analysed. The association between findings was assessed using Fisher's exact test, while correlation at CT scan was evaluated with the Spearman analysis.

resultsBronchiectasis/bronchioloectasis (89.8%), nodule(s) (81.6%), tree-in-bud (TIB), and consolidation (79.6% each) figured among the most common parenchymal findings. Lymphadenopathy (26.5%) was the most common nodal finding. TIB and cavity showed the highest correlation (r = 0.577), followed by TIB and bronchi(olo)ectasis (r = 0.498), TIB and consolidation (r = 0.497), nodule(s), and ground glass opacity (r = 0.488). High correlation was found in only the seven most frequent parenchymal findings. Consolidation, TIB, and cavity were useful to predict the AFB stain positivity.

conclusionsOur series confirms the extreme heterogeneity of pulmonary tuberculosis. It also proves there are couple of findings which can drive us to the right diagnosis. While a triad of findings predicts AFB positivity, we have not found any predictive sign of AFB negativity; consequently, all patients with suspected imaging and clinical findings for TB should be isolated.

Indexed as

Tomography, X-Ray ComputedAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesTuberculosis, PulmonaryYoung AdultAFB stainChest CTPulmonary tuberculosisTuberculosis

Identifiers

PMID31087215

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