Evidence map›Paper›PMID 26131814›Full record

Trial reportMedicine2015

Quantification of Pulmonary Inflammatory Processes Using Chest Radiography: Tuberculosis as the Motivating Application.

Guilherme Giacomini, José R A Miranda, Ana Luiza M Pavan, Sérgio B Duarte, Sérgio M Ribeiro, Paulo C M Pereira, Allan F F Alves, Marcela de Oliveira, Diana R Pina

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. A lung image reconstruction from computed radiography images as a tool to tuberculosis treatment control.The journal of venomous animals and toxins including tropical diseases · 2019
    Article
  4. Article
  5. Review
  6. 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

9 authors at 4 institutions in 3 countries.

Guilherme GiacominiFrom Departamento de Física e Biofísica, Instituto de Biociências de Botucatu-IBB, UNESP-Univ Estadual Paulista, Botucatu/SP, Brazil (GG, JRM, ALMP, AFFA, MDO); Departamento de Doenças Tropicais e Diagnóstico por Imagem, Faculdade de Medicina de Botucatu, UNESP-Univ Estadual Paulista, Botucatu/SP, Brazil (SMR, PCMP, DRP); and Centro Brasileiro de Pesquisas Físicas-CBPF/MCT, Rio de Janeiro/RJ, Brazil (SBD).
José R A Miranda
Ana Luiza M Pavan
Sérgio B Duarte
Sérgio M Ribeiro
Paulo C M Pereira
Allan F F Alves
Marcela de Oliveira
Diana R Pina
Defence Research and Development Organisation · INUniversidade Estadual Paulista (Unesp) · BRMDS Associates (United States) · USCreative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this work was to develop a quantitative method for evaluating the pulmonary inflammatory process (PIP) through the computational analysis of chest radiography exams in posteroanterior (PA) and lateral views. The quantification procedure was applied to patients with tuberculosis (TB) as the motivating application.A study of high-resolution computed tomography (HRCT) examinations of patients with TB was developed to establish a relation between the inflammatory process and the signal difference-to-noise ratio (SDNR) measured in the PA projection. A phantom essay was used to validate this relation, which was implemented using an algorithm that is able to estimate the volume of the inflammatory region based solely on SDNR values in the chest radiographs of patients.The PIP volumes that were quantified for 30 patients with TB were used for comparisons with direct HRCT analysis for the same patient. The Bland-Altman statistical analyses showed no significant differences between the 2 quantification methods. The linear regression line had a correlation coefficient of R = 0.97 and P < 0.001, showing a strong association between the volume that was determined by our evaluation method and the results obtained by direct HRCT scan analysis.Since the diagnosis and follow-up of patients with TB is commonly performed using X-rays exams, the method developed herein can be considered an adequate tool for quantifying the PIP with a lower patient radiation dose and lower institutional cost. Although we used patients with TB for the application of the method, this method may be used for other pulmonary diseases characterized by a PIP.

Indexed as

AdultFemaleHumansMaleMiddle AgedPhantoms, ImagingQuality ImprovementRadiography, ThoracicTuberculosis, Pulmonary

Identifiers

PMID26131814
PMCPMC4504622
OpenAlexW810914859

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.