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Pattern recognition of high-resolution computer tomography (HRCT) chest to guide clinical management in patients with mild to moderate COVID-19.
Rajalingam, Bavaharan; Narayanan, Ethirajan; Nirmalan, Praveen; Muthukrishnan, Kamalanthan; Sundaram, Vivek; Kumaravelu, Saravanan; Gopalan, Mukundhan; Jeyapal, Senthil; Rajalingam, Baskaran; Khanna, Vijay; Dhoss, Praveen.
Afiliação
  • Rajalingam B; DNB, Managing Director, Magnum Imaging & Diagnostics, Trichy, Tamil Nadu, India.
  • Narayanan E; Retired Professor, Social & Preventive Medicine, Chidambaram, Trichy, Tamil Nadu, India.
  • Nirmalan P; MPH, Reasearch Head, Amma Education Research Foundation, Kochi, India.
  • Muthukrishnan K; DNB, Consultant, Magnum Imaging & Diagnostics, Trichy, Tamil Nadu, India.
  • Sundaram V; Sundaram Hospital, Director, Saravana Medical Centre, Singarathope, Trichy, Tamil Nadu, India.
  • Kumaravelu S; Director, Saravana Medical Centre, Trichy, Tamil Nadu, India.
  • Gopalan M; ABC Hopsital, Director, GVN Hopsital, Singarathope, Trichy, Tamil Nadu, India.
  • Jeyapal S; Director, GVN Hopsital, Singarathope, Trichy, Tamil Nadu, India.
  • Rajalingam B; Consultant Physician, GVN Hopsital, Singarathope, Trichy, Tamil Nadu, India.
  • Khanna V; Consultant Critcal Care, Retna Global Hopsital, Trichy, Tamil Nadu, India.
  • Dhoss P; Director, Retna Global Hopsital, Trichy, Tamil Nadu, India.
  • Gopinath; Emergency Medical Officer, Sundaram Hospital, Trichy, Tamil Nadu, India.
Indian J Radiol Imaging ; 31(Suppl 1): S110-S118, 2021 Jan.
Article em En | MEDLINE | ID: mdl-33814769
ABSTRACT

AIM:

To describe the distribution of lung patterns determined by High Resolution Computed Tomography (HRCT) in COVID patients with mild and moderate lung involvement and outcomes after early identification and management with steroids and anticoagulants. MATERIAL AND

METHODS:

A cross sectional study of COVID-19 patients with mild and moderate lung involvement presenting at 5 healthcare centres in Trichy district of South TamilNadu in India. Patients underwent HRCT to assess patterns and severity of lung involvement, Inflammatory markers (LDH/Ferritin) and D-Dimer assay and clinical correlation with signs and symptoms. Patients were assessed for oxygen, steroid and anticoagulant therapy, clinical recovery or progression on follow up and details on mortality were collected. The RSNA, Fleischer Society guidelines and CORADS score was used for radiological reporting. New potential classification of patterns of percentage of lung parenchyma involvement in Covid patients is being suggested.

RESULTS:

The study included 7,340 patients with suspected COVID and 3,963 (53.9%) patients had lung involvement based on HRCT. RT PCR was positive in 74.1% of the CT Positive cases. Crazy Pavement pattern was predominant (n = 2022, 51.0%) and Ground Glass Opacity (GGO) was found in 1,941 (49.0%) patients in the study. Severe lung involvement was more common in the Crazy Pavement pattern. Patients with GGO in moderate lung involvement were significantly more likely to recover faster compared to Crazy Pavement pattern (P value <0.001).

CONCLUSION:

HRCT chest and assessment of lung patterns can help triage patients to home quarantine and hospital admission. Early initiation of steroids and anticoagulants based on lung patterns can prevent progression to more severe stages and aid early recovery. HRCT can play a major role to triage and guide management especially as RT PCR testing and results are delayed for the benefit of patients and in a social cause to decrease the spread of the virus.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Observational_studies / Prognostic_studies Idioma: En Revista: Indian J Radiol Imaging Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Índia

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Observational_studies / Prognostic_studies Idioma: En Revista: Indian J Radiol Imaging Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Índia