AI Summary & Key Takeaways
AI InsightOn the other hand, presence of CPP has high specificity for severe COVID-19pneumonia.
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Özet
PURPOSEThe aim of this study was to evaluate visual and software-based quantitative assessment ofparenchymal changes and normal lung parenchyma in patients with coronavirus disease 2019(COVID-19) pneumonia. The secondary aim of the study was to compare the radiologic findingswith clinical and laboratory data.METHODSPatients with COVID-19 who underwent chest computed tomography (CT) between March 11,2020 and April 15, 2020 were retrospectively evaluated. Clinical and laboratory findings of patients with abnormal findings on chest CT and PCR-evidence of COVID-19 infection were recorded. Visual quantitative assessment score (VQAS) was performed according to the extent of lungopacities. Software-based quantitative assessment of the normal lung parenchyma percentage(SQNLP) was automatically quantified by a deep learning software. The presence of consolidation and crazy paving pattern (CPP) was also recorded. Statistical analyses were performed toevaluate the correlation between quantitative radiologic assessments, and clinical and laboratory findings, as well as to determine the predictive utility of radiologic findings for estimatingsevere pneumonia and admission to intensive care unit (ICU).RESULTSA total of 90 patients were enrolled. Both VQAS and SQNLP were significantly correlated withmultiple clinical parameters. While VQAS >8.5 (sensitivity, 84.2%; specificity, 80.3%) and SQNLP 9.5(sensitivity, 93.3%; specificity, 86.5%) and SQNLP <81.1% (sensitivity, 86.5%; specificity, 86.7%)were predictive of ICU admission. Both consolidation and CPP were more commonly seen inpatients with severe pneumonia than patients with nonsevere pneumonia (P = 0.197 for consolidation; P < 0.001 for CPP). Moreover, the presence of CPP showed high specificity (97.2%) forsevere pneumonia.CONCLUSIONBoth SQNLP and VQAS were significantly related to the clinical findings, highlighting their clinical utility in predicting severe pneumonia, ICU admission, length of hospital stay, and management of the disease. On the other hand, presence of CPP has high specificity for severe COVID-19pneumonia.