The diagnostic performance of deep-learning-based CT severity score to identify COVID-19 pneumonia.
Br J Radiol
; 95(1129): 20210759, 2022 Jan 01.
Artigo
em Inglês
| MEDLINE | ID: covidwho-1566545
ABSTRACT
OBJECTIVE:
To determine the diagnostic accuracy of a deep-learning (DL)-based algorithm using chest computed tomography (CT) scans for the rapid diagnosis of coronavirus disease 2019 (COVID-19), as compared to the reference standard reverse-transcription polymerase chain reaction (RT-PCR) test.METHODS:
In this retrospective analysis, data of COVID-19 suspected patients who underwent RT-PCR and chest CT examination for the diagnosis of COVID-19 were assessed. By quantifying the affected area of the lung parenchyma, severity score was evaluated for each lobe of the lung with the DL-based algorithm. The diagnosis was based on the total lung severity score ranging from 0 to 25. The data were randomly split into a 40% training set and a 60% test set. Optimal cut-off value was determined using Youden-index method on the training cohort.RESULTS:
A total of 1259 patients were enrolled in this study. The prevalence of RT-PCR positivity in the overall investigated period was 51.5%. As compared to RT-PCR, sensitivity, specificity, positive predictive value, negative predictive value and accuracy on the test cohort were 39.0%, 80.2%, 68.0%, 55.0% and 58.9%, respectively. Regarding the whole data set, when adding those with positive RT-PCR test at any time during hospital stay or "COVID-19 without virus detection", as final diagnosis to the true positive cases, specificity increased from 80.3% to 88.1% and the positive predictive value increased from 68.4% to 81.7%.CONCLUSION:
DL-based CT severity score was found to have a good specificity and positive predictive value, as compared to RT-PCR. This standardized scoring system can aid rapid diagnosis and clinical decision making. ADVANCES IN KNOWLEDGE DL-based CT severity score can detect COVID-19-related lung alterations even at early stages, when RT-PCR is not yet positive.
Texto completo:
Disponível
Coleções:
Bases de dados internacionais
Base de dados:
MEDLINE
Assunto principal:
Aprendizado Profundo
/
COVID-19
Tipo de estudo:
Estudo de coorte
/
Estudo diagnóstico
/
Estudo experimental
/
Estudo observacional
/
Estudo prognóstico
/
Ensaios controlados aleatorizados
Limite:
Adulto
/
Idoso
/
Feminino
/
Humanos
/
Masculino
Idioma:
Inglês
Revista:
Br J Radiol
Ano de publicação:
2022
Tipo de documento:
Artigo
País de afiliação:
Bjr.20210759
Similares
MEDLINE
...
LILACS
LIS