Evaluation of Chest CT Scan as a Screening and Diagnostic Tool in Trauma Patients with Coronavirus Disease 2019 (COVID-19): A Cross-Sectional Study
Background. The lack of enough medical evidence about COVID-19 regarding optimal prevention, diagnosis, and treatment contributes negatively to the rapid increase in the number of cases globally. A chest computerized tomography (CT) scan has been introduced as the most sensitive diagnostic method. T...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Emergency Medicine International |
| Online Access: | http://dx.doi.org/10.1155/2021/4188178 |
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| author | Hossein Abdolrahimzadeh Fard Salahaddin Mahmudi-Azer Sepideh Sefidbakht Pooya Iranpour Shahram Bolandparvaz Hamid Reza Abbasi Shahram Paydar Golnar Sabetian Mohamad Mahdi Mahmoudi Masoume Zare Leila Shayan Maryam Salimi |
| author_facet | Hossein Abdolrahimzadeh Fard Salahaddin Mahmudi-Azer Sepideh Sefidbakht Pooya Iranpour Shahram Bolandparvaz Hamid Reza Abbasi Shahram Paydar Golnar Sabetian Mohamad Mahdi Mahmoudi Masoume Zare Leila Shayan Maryam Salimi |
| author_sort | Hossein Abdolrahimzadeh Fard |
| collection | DOAJ |
| description | Background. The lack of enough medical evidence about COVID-19 regarding optimal prevention, diagnosis, and treatment contributes negatively to the rapid increase in the number of cases globally. A chest computerized tomography (CT) scan has been introduced as the most sensitive diagnostic method. Therefore, this research aimed to examine and evaluate the chest CT scan as a screening measure of COVID-19 in trauma patients. Methods. This cross-sectional study was conducted in Rajaee Hospital in Shiraz from February to May 2020. All patients underwent unenhanced CT with a 16-slice CT scanner. The CT scans were evaluated in a blinded manner, and the main CT scan features were described and classified into four groups according to RSNA recommendation. Subsequently, the first two Radiological Society of North America (RSNA) categories with the highest probability of COVID-19 pneumonia (i.e., typical and indeterminate) were merged into the “positive CT scan group” and those with radiologic features with the least probability of COVID-19 pneumonia into “negative CT scan group.” Results. Chest CT scan had a sensitivity of 68%, specificity of 56%, positive predictive value of 34.8%, negative predictive value of 83.7%, and accuracy of 59.3% in detecting COVID-19 among trauma patients. Moreover, for the diagnosis of COVID-19 by CT scan in asymptomatic individuals, a sensitivity of 100%, specificity of 66.7%, and negative predictive value of 100% were obtained (p value: 0.05). Conclusion. Findings of the study indicated that the CT scan’s sensitivity and specificity is less effective in diagnosing trauma patients with COVID-19 compared with nontraumatic people. |
| format | Article |
| id | doaj-art-e48ad57d214a40808e4b8019d6ef2114 |
| institution | Kabale University |
| issn | 2090-2840 2090-2859 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Emergency Medicine International |
| spelling | doaj-art-e48ad57d214a40808e4b8019d6ef21142025-02-03T01:25:18ZengWileyEmergency Medicine International2090-28402090-28592021-01-01202110.1155/2021/41881784188178Evaluation of Chest CT Scan as a Screening and Diagnostic Tool in Trauma Patients with Coronavirus Disease 2019 (COVID-19): A Cross-Sectional StudyHossein Abdolrahimzadeh Fard0Salahaddin Mahmudi-Azer1Sepideh Sefidbakht2Pooya Iranpour3Shahram Bolandparvaz4Hamid Reza Abbasi5Shahram Paydar6Golnar Sabetian7Mohamad Mahdi Mahmoudi8Masoume Zare9Leila Shayan10Maryam Salimi11Trauma Research Center, Department of Surgery, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, IranPulmonary Research Group, Department of Medicine, University of Alberta, Edmonton, Alberta, CanadaMedical Imaging Research Center, Department of Radiology, Shiraz University of Medical Sciences, Shiraz, IranMedical Imaging Research Center, Department of Radiology, Shiraz University of Medical Sciences, Shiraz, IranTrauma Research Center, Department of Surgery, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, IranEducation Development and Research Center, Shiraz University of Medical Sciences, Shiraz, IranTrauma Research Center, Department of Surgery, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, IranShiraz Anesthesiology and Critical Care Research Center, Shiraz University of Medical Sciences, Shiraz, IranTrauma Research Center, Department of Surgery, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, IranTrauma Research Center, Department of Surgery, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, IranTrauma Research Center, Department of Surgery, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, IranStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, IranBackground. The lack of enough medical evidence about COVID-19 regarding optimal prevention, diagnosis, and treatment contributes negatively to the rapid increase in the number of cases globally. A chest computerized tomography (CT) scan has been introduced as the most sensitive diagnostic method. Therefore, this research aimed to examine and evaluate the chest CT scan as a screening measure of COVID-19 in trauma patients. Methods. This cross-sectional study was conducted in Rajaee Hospital in Shiraz from February to May 2020. All patients underwent unenhanced CT with a 16-slice CT scanner. The CT scans were evaluated in a blinded manner, and the main CT scan features were described and classified into four groups according to RSNA recommendation. Subsequently, the first two Radiological Society of North America (RSNA) categories with the highest probability of COVID-19 pneumonia (i.e., typical and indeterminate) were merged into the “positive CT scan group” and those with radiologic features with the least probability of COVID-19 pneumonia into “negative CT scan group.” Results. Chest CT scan had a sensitivity of 68%, specificity of 56%, positive predictive value of 34.8%, negative predictive value of 83.7%, and accuracy of 59.3% in detecting COVID-19 among trauma patients. Moreover, for the diagnosis of COVID-19 by CT scan in asymptomatic individuals, a sensitivity of 100%, specificity of 66.7%, and negative predictive value of 100% were obtained (p value: 0.05). Conclusion. Findings of the study indicated that the CT scan’s sensitivity and specificity is less effective in diagnosing trauma patients with COVID-19 compared with nontraumatic people.http://dx.doi.org/10.1155/2021/4188178 |
| spellingShingle | Hossein Abdolrahimzadeh Fard Salahaddin Mahmudi-Azer Sepideh Sefidbakht Pooya Iranpour Shahram Bolandparvaz Hamid Reza Abbasi Shahram Paydar Golnar Sabetian Mohamad Mahdi Mahmoudi Masoume Zare Leila Shayan Maryam Salimi Evaluation of Chest CT Scan as a Screening and Diagnostic Tool in Trauma Patients with Coronavirus Disease 2019 (COVID-19): A Cross-Sectional Study Emergency Medicine International |
| title | Evaluation of Chest CT Scan as a Screening and Diagnostic Tool in Trauma Patients with Coronavirus Disease 2019 (COVID-19): A Cross-Sectional Study |
| title_full | Evaluation of Chest CT Scan as a Screening and Diagnostic Tool in Trauma Patients with Coronavirus Disease 2019 (COVID-19): A Cross-Sectional Study |
| title_fullStr | Evaluation of Chest CT Scan as a Screening and Diagnostic Tool in Trauma Patients with Coronavirus Disease 2019 (COVID-19): A Cross-Sectional Study |
| title_full_unstemmed | Evaluation of Chest CT Scan as a Screening and Diagnostic Tool in Trauma Patients with Coronavirus Disease 2019 (COVID-19): A Cross-Sectional Study |
| title_short | Evaluation of Chest CT Scan as a Screening and Diagnostic Tool in Trauma Patients with Coronavirus Disease 2019 (COVID-19): A Cross-Sectional Study |
| title_sort | evaluation of chest ct scan as a screening and diagnostic tool in trauma patients with coronavirus disease 2019 covid 19 a cross sectional study |
| url | http://dx.doi.org/10.1155/2021/4188178 |
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