Pattern recognition of high-resolution computer tomography (HRCT) chest to guide clinical management in patients with mild to moderate COVID-19

Author:

Rajalingam Bavaharan1,Narayanan Ethirajan2,Nirmalan Praveen3,Muthukrishnan Kamalanthan4,Sundaram Vivek5,Kumaravelu Saravanan6,Gopalan Mukundhan7,Jeyapal Senthil8,Rajalingam Baskaran9,Khanna Vijay10,Dhoss Praveen11,Gopinath Gopinath12

Affiliation:

1. DNB, Managing Director, Magnum Imaging & Diagnostics, Trichy, Tamil Nadu

2. Retired Professor, Social & Preventive Medicine, Chidambaram, Trichy, Tamil Nadu

3. MPH, Reasearch Head, Amma Education Research Foundation, Kochi

4. DNB, Consultant, Magnum Imaging & Diagnostics, Trichy, Tamil Nadu

5. Sundaram Hospital, Director, Saravana Medical Centre, Singarathope, Trichy, Tamil Nadu

6. Director, Saravana Medical Centre, Trichy, Tamil Nadu

7. ABC Hopsital, Director, GVN Hopsital, Singarathope, Trichy, Tamil Nadu

8. Director, GVN Hopsital, Singarathope, Trichy, Tamil Nadu

9. Consultant Physician, GVN Hopsital, Singarathope, Trichy, Tamil Nadu

10. Consultant Critcal Care, Retna global Hopsital, Trichy, Tamil Nadu

11. Director, Retna Global Hopsital, Trichy, Tamil Nadu

12. Emergency Medical Officer, Sundaram Hospital, Trichy, Tamil Nadu, India

Abstract

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

Publisher

Georg Thieme Verlag KG

Subject

Radiology, Nuclear Medicine and imaging

Reference14 articles.

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2. Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: A modelling study;A Clark;Lancet Glob Health,2020

3. Microvascular COVID-19 lung vessels obstructive thromboinflammatory syndrome (MicroCLOTS): An atypical acute respiratory distress syndrome working hypothesis;F Ciceri;Crit Care Resusc,2020

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