Evidence map›Paper›PMID 35295606›Full record

ArticleFrontiers in medicine2022

Correlation Between CT Features of Active Tuberculosis and Residual Metabolic Activity on End-of-Treatment FDG PET/CT in Patients Treated for Pulmonary Tuberculosis.

Ismaheel O Lawal, Kgomotso M G Mokoala, Matsontso Mathebula, Ingrid Moagi, Gbenga O Popoola, Nontando Moeketsi, Maphoshane Nchabeleng, Chris Hikuam, Jerrold J Ellner, Mark Hatherill and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. EANM/SNMMI guideline/procedure standard for [European journal of nuclear medicine and molecular imaging · 2025
    Guideline
  2. 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

12 authors at 6 institutions in 3 countries.

Ismaheel O LawalDepartment of Nuclear Medicine, University of Pretoria, Pretoria, South Africa.
Kgomotso M G MokoalaDepartment of Nuclear Medicine, University of Pretoria, Pretoria, South Africa.
Matsontso MathebulaDepartment of Medical Microbiology and MeCRU, Sefako Makgatho University of Medical Science, Pretoria, South Africa.
Ingrid MoagiDepartment of Medical Microbiology and MeCRU, Sefako Makgatho University of Medical Science, Pretoria, South Africa.
Gbenga O PopoolaDepartment of Epidemiology and Community Health, University of Ilorin, Ilorin, Nigeria.
Nontando MoeketsiDepartment of Medical Microbiology and MeCRU, Sefako Makgatho University of Medical Science, Pretoria, South Africa.
Maphoshane NchabelengDepartment of Medical Microbiology and MeCRU, Sefako Makgatho University of Medical Science, Pretoria, South Africa.
Chris HikuamSouth African Tuberculosis Vaccine Initiative, Department of Pathology, Institute of Infectious Disease and Division of Immunology, University of Cape Town, Cape Town, South Africa.
Jerrold J EllnerDepartment of Medicine, Centre for Emerging Pathogens, Rutgers-New Jersey Medical School, Newark, NJ, United States.
Mark HatherillSouth African Tuberculosis Vaccine Initiative, Department of Pathology, Institute of Infectious Disease and Division of Immunology, University of Cape Town, Cape Town, South Africa.
Bernard P FourieDepartment of Medical Microbiology, University of Pretoria, Pretoria, South Africa.
Mike M SathekgeDepartment of Nuclear Medicine, University of Pretoria, Pretoria, South Africa.
Sefako Makgatho Health Sciences University · ZAUniversity of Pretoria · ZARutgers New Jersey Medical SchoolSouth African Tuberculosis Vaccine Initiative · ZAUniversity of Cape Town · ZAUniversity of Ilorin · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients who complete a standard course of anti-tuberculous treatment (ATT) for pulmonary tuberculosis and are declared cured according to the current standard of care commonly have residual metabolic activity (RMA) in their lungs on fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PER/CT) imaging. RMA seen in this setting has been shown to be associated with relapse of tuberculosis. The routine clinical use of FDG PET/CT imaging for treatment response assessment in tuberculosis is hindered by cost and availability. CT is a more readily available imaging modality. We sought to determine the association between CT features suggestive of active tuberculosis and RMA on FDG PET/CT obtained in patients who completed a standard course of ATT for pulmonary tuberculosis. We prospectively recruited patients who completed a standard course of ATT and declared cured based on negative sputum culture. All patients had FDG PET/CT within 2 weeks of completing ATT. We determined the presence of RMA on FDG PET images. Among the various lung changes seen on CT, we considered the presence of lung nodule, consolidation, micronodules in tree-in-bud pattern, FDG-avid chest nodes, and pleural effusion as suggestive of active tuberculosis. We determine the association between the presence of RMA on FDG PET and the CT features of active tuberculosis. We include 75 patients with a mean age of 36.09 ± 10.49 years. Forty-one patients (54.67%) had RMA on their FDG PET/CT while 34 patients (45.33%) achieved complete metabolic response to ATT. There was a significant association between four of the five CT features of active disease,

Indexed as

computed tomographyend-of-treatmentFDG PET/CTHIV infectionpulmonary tuberculosisresidual metabolic activity

Identifiers

PMID35295606
PMCPMC8920557
OpenAlexW4213094125

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.