Evidence map›Paper›PMID 40384656›Full record

ArticleQuantitative imaging in medicine and surgery2025

Lung ultrasound for the diagnosis of pulmonary consolidation in children with community-acquired pneumonia.

Wanyu Jia, Xue Zhang, Ruiyang Sun, Peng Li, Jiapu Hou, Daobin Wang, Chunlan Song

Abstract read
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Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wanyu JiaHenan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China.
Xue ZhangHenan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China.
Ruiyang SunHenan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China.
Peng LiHenan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China.
Jiapu HouHenan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China.
Daobin WangPediatrics Department, Zhecheng County People's Hospital, Shangqiu, China.
Chunlan SongHenan Province Engineering Research Center of Diagnosis and Treatment of Pediatric Infection and Critical Care, Children's Hospital Affiliated to Zhengzhou University, Henan Children's Hospital, Zhengzhou Children's Hospital, Zhengzhou, China.ORCID https://orcid.org/0000-0002-3750-7687

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As an auxiliary examination, lung ultrasound (LUS) is widely used in the clinical diagnosis of pneumonia. The purpose of this study was to investigate the accuracy of LUS detection of community-acquired pneumonia (CAP) combined with pulmonary consolidation in children. Methods: Children who were diagnosed with CAP at a children's hospital in 2023 and who underwent lung computed tomography (CT) and LUS at the same time were included. The Cohen kappa coefficient was used to evaluate the concordance between LUS and CT. Results: A total of 6,705 children with CAP were enrolled, among whom 3,485 (51.98%) were male, with the mean age being 79.38±33.91 months. Of these children, 658 had pleural effusions and 3,799 had pulmonary consolidation. According to the consistency test, there was good agreement (κ=0.844) between LUS and CT examinations in assessing pulmonary consolidation. In detecting pulmonary consolidation, LUS demonstrated a sensitivity of 92.10%, a specificity of 92.53%, a positive predictive value of 94.16%, and a negative predictive value of 89.96%. For detecting pleural effusion, LUS and chest CT had a moderate degree of consistency (κ=0.457). Conclusions: LUS demonstrated good accuracy in diagnosing pulmonary consolidation in children with pneumonia. When concurrent pulmonary consolidation is suspected from the diagnostic work-up of pneumonia, LUS may be a valuable supplementary method.

Indexed as

community-acquired pneumonia (CAP)lung ultrasound (LUS)Pulmonary consolidation

Identifiers

PMID40384656
PMCPMC12084685

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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.