ArticleQuantitative imaging in medicine and surgery2023
Multidimensional analysis using low-dose computed tomography to evaluate the severity of
Article in Quantitative imaging in medicine and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 8 citations in OpenAlex.
- Assessment of predictive efficacy for prognosis of pediatric severeTranslational pediatrics · 2026Article
- Development and validation of a multivariate predictive model for the risk of refractory mycoplasma pneumoniae pneumonia in children based on quantitative computed tomography features.Translational pediatrics · 2026Article
- Association of complete blood count parameters with adverse outcomes in acute pediatric pneumonia.Pediatric research · 2026Article
- A Novel Nomogram Integrating Clinical, Radiological, and Immunological Indicators for Early Prediction of SevereJournal of inflammation research · 2026Article
- Early identification of refractoryFrontiers in medicine · 2026Article
- 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
- Predictive value of an early comprehensive assessment model for refractory mycoplasma pneumoniae pneumonia and internal validation.BMC infectious diseases · 2025Article
- Lung consolidation absorption time in 238 pediatric cases of mycoplasma pneumoniae pneumonia.Frontiers in pediatrics · 2025Article
- Multicenter study on CT-based Radiomics for predicting severity and delayed recovery inFrontiers in medicine · 2025Article
- Development and validation of an online dynamic nomogram system for pulmonary consolidation in children with Mycoplasma pneumoniae pneumonia.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024Article
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11 authors at 2 institutions in 1 country.
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Abstract
Background: It is unclear whether local pathological pulmonary changes truly reflect the severity of childhood Methods: In all, 752 children with Results: Of the 752 included patients, 16.2% (122/752) developed severe MPP. Atelectasis, pleural effusion, and lung consolidation occurred in 9.7% (73/752), 15.8% (119/752), and 90.3% (679/752) of patients, respectively. In addition to pleural effusion, the number of lobes of lung consolidation was the highest risk feature of severe MPP. Patients with consolidation in 2, 3, and 4 lobes had a 1.0-, 3.1-, and 7.5-fold increased risk of severe MPP, compared with patients with consolidation in fewer than 1 lobe. The duration of fever prior to admission had no effect on the proportions of the lobar consolidation (P=0.14) but did have significant effect on the incidence of pleural effusion (P=0.004). Levels of inflammatory markers and medical costs rose consistently with the increase in the number of lobar consolidations (P<0.001). After adjustments for pleural effusion, 1, 2, 3, and 4 lobes of consolidation remained positively associated with fever duration [1 lobe: hazard ratio (HR) =1.55, 95% CI: 1.10-2.18; 2 lobes: HR =1.65, 95% CI: 1.13-2.42l; 3 lobes: HR =1.82, 95% CI: 1.11-2.98; 4 lobes: HR =2.87, 95% CI: 1.25-6.61] compared to 0 lobes of consolidation. Compared to 0 lobes of consolidation, 1, 2, 3, and 4 lobes of consolidation were also positively correlated with the length of hospital stay (1 lobe: HR =2.24, 95% CI: 1.73-2.89; 2 lobes: HR =2.56, 95% CI: 1.91-3.43; 3 lobes: HR =2.87, 95% CI: 1.90-4.32; 4 lobes: HR =4.12, 95% CI: 2.01-8.46). Conclusions: Lobar consolidation is a stable and reliable computed tomography feature that can be used to assess the severity of MPP in children. Quantitative analysis of lobar consolidation can comprehensively and accurately predict the progression of
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