Javed Ahmad Khan, Faryal Asmat, Fuad Ahmad Siddiqi, Tariq Bashir Tareen, Fayyaz Hassan, Sobia Mehreen, Ayesha Sultan, Amen Ejaz.
High-resolution CT (HRCT) chest findings in PCR positive patients of covid19 at Combined Military hospital Rawalpindi.
Pak Armed Forces Med J Jan ;71(3):951-54.

Objective: To study High resolution computed tomography chest findings in polymerase chain reaction (PCR) positive patients of COVID-19. Study Design: Cross sectional study. Place and Duration of Study: Combined Military Hospital Rawalpindi, from May to Jun 2020. Methodology: Study included high resolution computed tomography chest of 200 patients admitted to COVID ward who were polymerase chain reaction positive. Patients having previously diagnosed Interstitial lung disease were excluded. Informed consent from patients were taken. Different findings on High resolution computed tomography chest were summarized as percent of total cases. British society of thoracic imaging (BSTI) classification was used to classify high resolution computed tomography chest patterns of COVID-19 pneumonia. Results: Out of 200 patients included in study, 7 had previous changes on their chest imaging and were excluded. 193 patients (145 males and 48 females) enrolled had a median age of 52 years. One hundred and two patients (52.9%) showed classical pattern for COVID-19, 81 patients (41.9%) had indeterminate changes, 3 patients (1.6%) had atypical changes while 7 (3.6%) had normal high resolution computed tomography chest. Four had pleural effusions while 5 had mediastinal lymphadenopathy. One hundred and eight nine (97.9%) patients had bilateral lung involvement, 145 (75.1%) had central and peripheral while 48 (24.9%) had peripheral involvement only. One hundred and forteen (59%) patients had ground glass opacities while 70 (36.3%) had ground glass opacities with consolidation. Nine (4.7%) patients presented with consolidation only. Conclusion: High resolution computed tomography chest and COVID polymerase chain reactiond one at the same time gives better diagnostic accuracy and helps in classifying these patients into different categories with early detection and treatment of patients.

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