TY - JOUR AU - Lu, Yibo AU - Zhou, Jingru AU - Mo, Yimei AU - Song, Shulin AU - Wei, Xue AU - Ding, Ke PY - 2021/03/27 Y2 - 2024/03/28 TI - Characteristics of chest high resolution computed tomography images of COVID-19: A retrospective study of 46 patients JF - Pakistan Journal of Medical Sciences JA - Pak J Med Sci VL - 37 IS - 3 SE - Original Articles DO - 10.12669/pjms.37.3.3504 UR - https://www.pjms.org.pk/index.php/pjms/article/view/3504 SP - AB - Objective: To analyze the characteristics of chest high resolution computed tomography (CT) images of coronavirus disease 2019 (COVID-19).Methods: This is a retrospective study analyzing the clinical records and chest high-resolution CT images of 46 consecutive patients who were diagnosed with COVID-19 by nucleic acid tests and treated at our hospitals between January 2020 and February 2020.Results: Abnormalities in the CT images were found in 44 patients (95.6%). The lesions were unilateral in eight patients (17.4%), bilateral in 36 patients (78.3%), single in seven patients (15.9%), and multiple in 37 patients (84.1%). The morphology of the lesions was scattered opacity in 10 patients (21.7%), patchy opacity in 38 patients (82.6%), fibrotic cord in 17 patients (37.0%), and wedge-shaped opacity in two patients (4.3%). The lesions can be classified as ground-glass opacity in eight patients (17.4%), consolidation in one patient (2.2%), and ground-glass opacity plus consolidation in 28 patients (60.9%).Conclusion: Most COVID-19 patients showed abnormalities in chest CT images and the most common findings were ground-glass opacity plus consolidation.Abbreviations:COVID-19: coronavirus disease 2019, CT: computed tomography,SARS-CoV-2: severe acute respiratory syndrome coronavirus 2, RNA: ribonucleic acid.doi: https://doi.org/10.12669/pjms.37.3.3504How to cite this:Lu Y, Zhou J, Mo Y, Song S, Wei X, Ding K. Characteristics of Chest high resolution computed tomography images of COVID-19: A retrospective study of 46 patients. Pak J Med Sci. 2021;37(3):840-845. doi: https://doi.org/10.12669/pjms.37.3.3504This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ER -