Evidence map›Paper›PMID 31130999›Full record

ArticleThe journal of venomous animals and toxins including tropical diseases2019

A lung image reconstruction from computed radiography images as a tool to tuberculosis treatment control.

Marcela de Oliveira, Sergio Barbosa Duarte, Guilherme Giacomini, Paulo Câmara Marques Pereira, Lenice do Rosário de Souza, José Ricardo de Arruda Miranda, Diana Rodrigues de Pina

Abstract read
In one paragraph

Article in The journal of venomous animals and toxins including tropical diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Marcela de OliveiraUniversidade Estadual Paulista, Instituto de Biociências de Botucatu, Departamento de Física e Biofísica, Botucatu, SP, Brasil.
Sergio Barbosa DuarteCentro Brasileiro de Pesquisas Físicas, Departamento de Altas Energias, Rio de Janeiro, RJ, Brasil.
Guilherme GiacominiUniversidade Estadual Paulista, Instituto de Biociências de Botucatu, Departamento de Física e Biofísica, Botucatu, SP, Brasil.
Paulo Câmara Marques PereiraUniversidade Estadual Paulista, Faculdade de Medicina de Botucatu, Departamento de Doenças Tropicais e Diagnóstico por Imagem, Botucatu, SP, Brasil.
Lenice do Rosário de SouzaUniversidade Estadual Paulista, Faculdade de Medicina de Botucatu, Departamento de Doenças Tropicais e Diagnóstico por Imagem, Botucatu, SP, Brasil.
José Ricardo de Arruda MirandaUniversidade Estadual Paulista, Instituto de Biociências de Botucatu, Departamento de Física e Biofísica, Botucatu, SP, Brasil.
Diana Rodrigues de PinaUniversidade Estadual Paulista, Faculdade de Medicina de Botucatu, Departamento de Doenças Tropicais e Diagnóstico por Imagem, Botucatu, SP, Brasil.ORCID 0000-0003-1967-1990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBackground: Tuberculosis (TB) is an infectious lung disease with high worldwide incidence that severely compromises the quality of life in affected individuals. Clinical tests are currently employed to monitor pulmonary status and treatment progression. The present study aimed to apply a three-dimensional (3D) reconstruction method based on chest radiography to quantify lung-involvement volume of TB acute-phase patients before and after treatment. In addition, these results were compared with indices from conventional clinical exams to show the coincidence level.

methodsA 3D lung reconstruction method using patient chest radiography was applied to quantify lung-involvement volume using retrospective examinations of 50 patients who were diagnosed with pulmonary TB and treated with two different drugs schemes. Twenty-five patients were treated with Scheme I (rifampicin, isoniazid, and pyrazinamide), whereas twenty-five patients were treated with Scheme II (rifampicin, isoniazid, pyrazinamide, and ethambutol). Acute-phase reaction: Serum exams included C-reactive protein levels, erythrocyte sedimentation rate, and albumin levels. Pulmonary function was tested posttreatment.

resultsWe found strong agreement between lung involvement and serum indices pre- and posttreatment. Comparison of the functional severity degree with lung involvement based on 3D image quantification for both treatment schemes found a high correlation.

conclusionsThe present 3D reconstruction method produced a satisfactory agreement with the acute-phase reaction, most notably a higher significance level with the C-reactive protein. We also found a quite reasonable coincidence between the 3D reconstruction method and the degree of functional lung impairment posttreatment. The performance of the quantification method was satisfactory when comparing the two treatment schemes. Thus, the 3D reconstruction quantification method may be useful tools for monitoring TB treatment. The association with serum indices are not only inexpensive and sensitive but also may be incorporated into the assessment of patients during TB treatment.

Indexed as

Lung involvementPulmonary function testsQuantificationSerum testsTuberculosis

Identifiers

PMID31130999
PMCPMC6483412

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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.