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2.
European Respiratory Journal Conference: European Respiratory Society International Congress, ERS ; 60(Supplement 66), 2022.
Artículo en Inglés | EMBASE | ID: covidwho-2285430

RESUMEN

Introduction: The limited sensitivity of microbiological testing, challenges in radiological differential diagnosis, and expectations of quick and accurate diagnosis required developing clinical decision support systems (CDSS). We propose a new deep learning-based hybrid CDSS that combines the advantageous aspects of thorax computed tomography(CT) and reverse transcriptase-polymerase chain reaction(PCR) to overcome the weakness of each one. Method(s): We retrospectively constructed a database that contains CT images of healthy subjects and patients with COVID-19 pneumonia(CP), bacterial/viral pneumonia(BVP), interstitial lung diseases(ILD), and PCR data of patients who were tested positive and negative for SARS-CoV-2. A new 3D-convolutional neural network (3D-CNN) and long short-term memory network(LSTM) based CDSS is developed to perform accurate and robust detection of COVID19 using CT images and PCR data. Result(s): Performance results of the proposed models (Fig1) provide highly reliable diagnosis of COVID-19 with 93.2% and 99.7% AUC for CT and PCR data, respectively. Conclusion(s): Proposed CDSS with state-of-the-art deep learning methods provides similar performance compared to both radiologists in CT evaluation and microbiologists in PCR evaluation and can be safely used. We plan to develop a hybrid CDSS algorithm further, combining laboratory data with CT and PCR models.

3.
European Respiratory Journal ; 58:3, 2021.
Artículo en Inglés | Web of Science | ID: covidwho-1702713
4.
Ultrasound Obstet Gynecol ; 55(6): 835-837, 2020 06.
Artículo en Inglés | MEDLINE | ID: covidwho-34937

RESUMEN

Imaging modalities play a crucial role in the management of suspected COVID-19 patients. Before reverse transcription polymerase chain reaction (RT-PCR) test results are positive, 60-93% of patients have positive chest computed tomographic (CT) findings consistent with COVID-19. We report a case of positive lung ultrasound findings consistent with COVID-19 in a woman with an initially negative RT-PCR result. The lung ultrasound-imaging findings were present between the negative and subsequent positive RT-PCR tests and correlated with CT findings. The point-of-care lung-ultrasound examination was easy to perform and, as such, could play an important role in the triage of women with suspected COVID-19. The neonatal swabs, cord blood and placental swab RT-PCR tests were negative for SARS-CoV-2, a finding consistent with the published literature suggesting no vertical transmission of this virus in pregnant women. Copyright © 2020 ISUOG. Published by John Wiley & Sons Ltd.


Asunto(s)
Infecciones por Coronavirus/diagnóstico por imagen , Pulmón/diagnóstico por imagen , Neumonía Viral/diagnóstico por imagen , Complicaciones Infecciosas del Embarazo/diagnóstico por imagen , Ultrasonografía/métodos , Adulto , COVID-19 , Cesárea , Angiografía por Tomografía Computarizada , Infecciones por Coronavirus/diagnóstico , Infecciones por Coronavirus/terapia , Diagnóstico Diferencial , Femenino , Sangre Fetal/virología , Humanos , Leche Humana/virología , Pandemias , Placenta/virología , Neumonía Viral/diagnóstico , Neumonía Viral/terapia , Pruebas en el Punto de Atención , Embarazo , Complicaciones Infecciosas del Embarazo/diagnóstico , Complicaciones Infecciosas del Embarazo/terapia , Embolia Pulmonar/diagnóstico , Reacción en Cadena de la Polimerasa de Transcriptasa Inversa , Tomografía Computarizada por Rayos X
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