Incidentalomas Discovered during COVID- 19 Chest CT Screening: A Cross-sectional Study from Andhra Pradesh, India

Velicheti Sandeep, V. Srikanth, Kondrugunta Chandra Sekhar, Balije Swetha, Vallabhaneni Jagadeep
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Abstract

Introduction: The highly contagious Coronavirus Disease 2019 (COVID-19) virus has spread across the globe. For the aberrant changes in the lung parenchyma, thin-section chest Computed Tomography (CT) is more sensitive than chest radiography and can identify early disease. Increased CT usage and resolution also lead to an increase in the discovery of "incidental" findings, creating questions about additional research, diagnosis, and follow-up with associated financial and emotional costs. Aim: To evaluate the non COVID-19 lung pathologies and other system findings in High Resolution Computed Tomography (HRCT) chest done for COVID-19 screening study. Materials and Methods: This was a cross-sectional study done in the Department of Radiodiagnosis at Dr.Pinnamaneni Siddhartha Institute of Medical Sciences and Research Foundation, Vijayawada, Andhra Pradesh, India, from May 2021 to December 2021. The CT scan was done in a craniocaudal direction with an average exposure time of 4-6 seconds, slice thickness of 5 mm and 1.5 mm in mediastinal and lung windows. A total of 1000 HRCT scans done were examined for covid screening. Data was entered in Microsoft Excel and analysed by using Statistical Package for Social Sciences (SPSS) software. Descriptive statistics were represented with percentages. Results: A total of 348 cases were found with various other pathologies incidentally. Lesions like infectious and inflammatory lesions, metabolic diseases, tumours, metastases of various systems and fractures were found. Among 348 total cases with incidental findings 98 cases (28.1%) showed non COVID-19 lung pathologies, 114 cases (32.7%) had findings in the upper abdomen, 30 cases (8.6%) in the thyroid, and three cases (0.8%) had other findings. Conclusion: The HRCT chest screening for COVID-19 not only provided the status of pulmonary infection but gave a broad view of many other system pathologies like in upper abdomen, musculoskeletal system, thyroid, breast which were found incidentally. Identifying those pathologies and correlating them with history will help in early detection and management.
在COVID- 19胸部CT筛查中发现的偶发瘤:来自印度安得拉邦的横断面研究
导语:高度传染性的2019冠状病毒病(COVID-19)病毒已在全球蔓延。对于肺实质的异常改变,薄层胸部计算机断层扫描(CT)比胸片更敏感,可以早期识别疾病。CT使用率和分辨率的提高也导致“偶然”发现的增加,这就产生了额外的研究、诊断和随访的问题,并带来了相关的经济和情感成本。目的:评价用于新冠肺炎筛查研究的胸部高分辨率计算机断层扫描(HRCT)非新冠肺炎肺部病理及其他系统表现。材料和方法:这是一项横断面研究,于2021年5月至2021年12月在印度安得拉邦维杰亚瓦达的Dr.Pinnamaneni Siddhartha医学科学和研究基金会研究所放射诊断部完成。CT扫描方向为颅足方向,平均曝光时间4-6秒,纵隔和肺窗切片厚度分别为5mm和1.5 mm。总共进行了1000次HRCT扫描以筛查新冠病毒。数据在Microsoft Excel中输入,并使用SPSS (Statistical Package for Social Sciences)软件进行分析。描述性统计用百分比表示。结果:共发现348例伴发其他各种病理。发现了感染性和炎性病变、代谢性疾病、肿瘤、各种系统转移和骨折等病变。在348例偶然发现病例中,非新冠肺炎肺部病变98例(28.1%),上腹部病变114例(32.7%),甲状腺病变30例(8.6%),其他病变3例(0.8%)。结论:HRCT胸部筛查COVID-19不仅能提供肺部感染的状态,还能对偶然发现的上腹部、肌肉骨骼系统、甲状腺、乳房等许多系统病变有更广泛的了解。识别这些病理并将其与病史联系起来将有助于早期发现和管理。
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