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Chest CT Severity Score as an Auxiliary Grading Tool to COVID-19 Pneumonia Imaging Classification: A Tertiary Care Experience in Pakistan.
Palwa, Abdur Rahim; Slehria, Atiq-Ur-Rehman; Nayyar, Bushra; Aquil, Hafsa; Riaz, Sidra; Nisar, Uzma; Malik, Zaha Iqbal.
  • Palwa AR; Armed Forces Institute of Radiology & Imaging, Rawalpindi, Pakistan.
  • Slehria AU; Armed Forces Institute of Radiology & Imaging, Rawalpindi, Pakistan.
  • Nayyar B; Armed Forces Institute of Radiology & Imaging, Rawalpindi, Pakistan.
  • Aquil H; Armed Forces Institute of Radiology & Imaging, Rawalpindi, Pakistan.
  • Riaz S; Department of Medicine, Pak Emirates Military Hospital, Rawalpindi, Pakistan.
  • Nisar U; Armed Forces Institute of Radiology & Imaging, Rawalpindi, Pakistan.
  • Malik ZI; Armed Forces Institute of Radiology & Imaging, Rawalpindi, Pakistan.
J Coll Physicians Surg Pak ; 31(1): 14-20, 2021 Jan.
Artículo en Inglés | MEDLINE | ID: covidwho-1068267
ABSTRACT

OBJECTIVE:

  To identify utility of chest computed tomography severity score (CT-SS) as an additional tool to COVID-19 pneumonia imaging classification in assessing severity of COVID-19. STUDY

DESIGN:

Descriptive analytical study Place and Duration of Study Armed Forces Institute of Radiology and Imaging, (AFIRI) Rawalpindi, from April 2020 to June 2020.

METHODOLOGY:

Five hundred suspected COVID-19 cases referred for high resolution computed tomography - chest were included in the study. Cases were categorised by radiological findings using COVID-19 pneumonia imaging classification, proposed in the radiological society of North America expert consensus statement on reporting chest CT findings related to COVID-19. CT-SS was calculated for all scans. Patients were clinically classified according to disease severity as per 'Diagnosis And Treatment Program of Pneumonia of New Coronavirus Infection' recommended by China's National Health Commission. The relationships between radiological findings, CT-SS, and clinical severity were explored.

RESULTS:

Based on the radiological findings, 298 cases were graded as typical, 34 as indeterminate, 15 as atypical, and 153 as negative for pneumonia. The apical and posterior basal segments of lower lobes were most commonly involved. The CT-SS showed higher values in patients of severe group as compared to those in moderate group (p < 0.05). CT-SS threshold for recognising severe COVID-19 was 18.5 (area under curve, 0.960), with 84.3% sensitivity and 92.5% specificity.

CONCLUSION:

In coherence with COVID-19 pneumonia imaging classification, CT-SS may provide a comprehensive and objective assessment of COVID-19 severity. Key Words COVID-19, COVID-19 pneumonia, CT-SS, High resolution computed tomography.
Asunto(s)

Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Neumonía Viral / Tórax / Tomografía Computarizada por Rayos X / COVID-19 / Pulmón Tipo de estudio: Estudios diagnósticos / Estudio pronóstico Límite: Adolescente / Adulto / Anciano / Niño / Child, preschool / Femenino / Humanos / Lactante / Masculino / Middle aged País/Región como asunto: Asia Idioma: Inglés Revista: J Coll Physicians Surg Pak Asunto de la revista: Medicina Año: 2021 Tipo del documento: Artículo País de afiliación: Jcpsp.2021.01.14

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Neumonía Viral / Tórax / Tomografía Computarizada por Rayos X / COVID-19 / Pulmón Tipo de estudio: Estudios diagnósticos / Estudio pronóstico Límite: Adolescente / Adulto / Anciano / Niño / Child, preschool / Femenino / Humanos / Lactante / Masculino / Middle aged País/Región como asunto: Asia Idioma: Inglés Revista: J Coll Physicians Surg Pak Asunto de la revista: Medicina Año: 2021 Tipo del documento: Artículo País de afiliación: Jcpsp.2021.01.14