ArticleFrontiers in pediatrics2022
The value of CT radiomic in differentiating mycoplasma pneumoniae pneumonia from streptococcus pneumoniae pneumonia with similar consolidation in children under 5 years.
Article in Frontiers in pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 14 citations in OpenAlex.
- CT-based radiomics nomogram for distinguishingTranslational pediatrics · 2026Article
- Development and validation of a clinical-radiomics nomogram for differentiatingFrontiers in pediatrics · 2026Article
- The application of the radiomic-clinical model based on SHAP-XGBoost method for differentiating pulmonary tuberculosis fromFrontiers in medicine · 2026Article
- Machine learning models based on chest computed tomography for identifying plastic bronchitis in children withTranslational pediatrics · 2025Article
- Development and validation of a radiomics-based model for early prediction of delayed radiological recovery from Mycoplasma pneumoniae pneumonia: a multicenter study.BMC medical imaging · 2025Article
- Development and validation of a machine learning model for predicting co-infection ofTranslational pediatrics · 2025Article
- The diagnostic value plasma procalcitonin (PCT) and serum amyloid A protein (SAA) in children with mycoplasma pneumonia.Journal of medical biochemistry · 2025Article
- Navigating the outbreak: a comprehensive analysis of pediatricMicrobiology spectrum · 2025Article
- Biomarkers associated with the diagnosis and prognosis ofFrontiers in cellular and infection microbiology · 2025Review
- Computed tomography-based radiomics prediction model for differentiating invasive pulmonary aspergillosis andFrontiers in cellular and infection microbiology · 2025Article
- Model based on the automated AI-driven CT quantification is effective for the diagnosis of refractory Mycoplasma pneumoniae pneumonia.Scientific reports · 2024Article
- Quantitative radiomics analysis of imaging features in adults and children Mycoplasma pneumonia.Frontiers in medicine · 2024Article
- A model based on adipose and muscle-related indicators evaluated by CT images for predicting microvascular invasion in HCC patients.Biomarker research · 2023Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To investigate the value of CT radiomics in the differentiation of mycoplasma pneumoniae pneumonia (MPP) from streptococcus pneumoniae pneumonia (SPP) with similar CT manifestations in children under 5 years. Methods: A total of 102 children with MPP ( Results: RF outperformed other classifiers and was selected as the backbone in the classifier with the consolidation + the surrounding halo was taken as ROI to differentiate MPP from SPP in validation cohort. The AUC value of MPP in validation cohort was 0.822, the sensitivity and specificity were 0.81 and 0.81, respectively. Conclusion: The RF model has the best classification efficiency in the identification of MPP from SPP in children, and the ROI with both consolidation and surrounding halo is most suitable for the delineation.
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