Evidence map›Paper›PMID 30236593›Full record

ArticleJornal de pediatria

Ultra-low-dose chest computed tomography without anesthesia in the assessment of pediatric pulmonary diseases.

Cristina Manera Dorneles, Gabriel Sartori Pacini, Matheus Zanon, Stephan Altmayer, Guilherme Watte, Marcelo C Barros, Edson Marchiori, Matteo Baldisserotto, Bruno Hochhegger

Open access · goldAbstract read
In one paragraph

Article in Jornal de pediatria. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 24% 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, 14 citations in OpenAlex.

  1. Chest CT in pediatrics: indications, findings, and use recommendations.Respiratory research & clinical practice · 2026
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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

9 authors at 4 institutions in 1 country.

Cristina Manera DornelesUniversidade de Santa Cruz, Departamento de Cirurgia, Santa Cruz, RS, Brazil.
Gabriel Sartori PaciniUniversidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil; Universidade Federal de Ciências da Saúde de Porto Alegre, Laboratório de Pesquisa em Imagens Médicas, Porto Alegre, RS, Brazil.
Matheus ZanonUniversidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil; Universidade Federal de Ciências da Saúde de Porto Alegre, Laboratório de Pesquisa em Imagens Médicas, Porto Alegre, RS, Brazil.
Stephan AltmayerUniversidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil; Universidade Federal de Ciências da Saúde de Porto Alegre, Laboratório de Pesquisa em Imagens Médicas, Porto Alegre, RS, Brazil.
Guilherme WatteUniversidade Federal de Ciências da Saúde de Porto Alegre, Laboratório de Pesquisa em Imagens Médicas, Porto Alegre, RS, Brazil.
Marcelo C BarrosUniversidade Federal de Ciências da Saúde de Porto Alegre, Laboratório de Pesquisa em Imagens Médicas, Porto Alegre, RS, Brazil; Pontifícia Universidade Católica do Rio Grande do Sul, Departamento de Radiologia, Porto Alegre, RS, Brazil.
Edson MarchioriUniversidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Matteo BaldisserottoPontifícia Universidade Católica do Rio Grande do Sul, Departamento de Radiologia, Porto Alegre, RS, Brazil.
Bruno HochheggerUniversidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil; Universidade Federal de Ciências da Saúde de Porto Alegre, Laboratório de Pesquisa em Imagens Médicas, Porto Alegre, RS, Brazil. Electronic address: brunoho@ufcspa.edu.br.
Universidade Federal de Ciências da Saúde de Porto Alegre · BRPontifícia Universidade Católica do Rio Grande do Sul · BRUniversidade Estadual de Santa Cruz · BRUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the feasibility of using ultra-low-dose computed tomography of the chest with iterative reconstruction without anesthesia for assessment of pulmonary diseases in children.

methodsThis prospective study enrolled 86 consecutive pediatric patients (ranging from 1 month to 18 years) that underwent ultra-low-dose computed tomography due to suspicion of pulmonary diseases, without anesthesia and contrast. Parameters used were: 80kVp; 15-30mA; acquisition time, 0.5s; and pitch, 1.375. The adaptive statistical iterative reconstruction technique was used. Subjective visual evaluation and quantitative assessment of image quality were done using a 5-point scale in 12 different structures of the chest.

resultsMean age was 66 months (interquartile range, 16-147). Final diagnosis was performed in all exams, and 44 (51.2%) were diagnosed with cystic fibrosis, 27 (31.4%) with bronchiolitis obliterans, and 15 (17.4%) with congenital pulmonary airways malformations. Diagnostic quality was achieved in 98.9%, of which 82.6% were considered excellent and 16.3% were slightly blurred but did not interfere with image evaluation. Only one case (1.2%) presented moderate blurring that slightly compromised the image, and previous examinations demonstrated findings compatible with bronchiolitis obliterans. Mean effective radiation dose was 0.39±0.15mSv. Percentages of images with motion artifacts were 0.3% for cystic fibrosis, 1.3% for bronchiolitis obliterans, and 1.1% for congenital pulmonary airways malformations.

conclusionChest ultra-low-dose computed tomography without sedation or anesthesia delivering a sub-millisievert dose can provide image quality to allow identification of common pulmonary anatomy and diseases.

Indexed as

AnesthesiaAdolescentChildChild, PreschoolHumansInfantProspective StudiesRadiation DosageTomography, X-Ray ComputedComputed tomographyIterative reconstructionPacientes pediátricosPediatric patientsRadiação de dose ultrabaixaReconstrução iterativaThoraxTomografia computadorizadaTóraxUltra-low-dose radiation

Identifiers

PMID30236593
PMCPMC9432340
OpenAlexW2892157654

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.