scholarly journals Cross-sectional study of chest CT-scan findings in patients affected by SARS-CoV-2 in a tertiary care health centre in Guntur Andhra Pradesh

2021 ◽  
Vol 6 (1) ◽  
pp. 54-57
Author(s):  
P V Kalyan Kumar ◽  
Y Vivekanand
Keyword(s):  
Ct Scan ◽  
Andhra Pradesh ◽  
Health Centre ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Chest Ct ◽  
Sectional Study ◽  
Cross Sectional ◽  
Care Health ◽  
Chest Ct Scan

scholarly journals Evaluation of Chest CT Scan as a Screening and Diagnostic Tool in Trauma Patients with Coronavirus Disease 2019 (COVID-19): A Cross-Sectional Study

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Hossein Abdolrahimzadeh Fard ◽  
Salahaddin Mahmudi-Azer ◽  
Sepideh Sefidbakht ◽  
Pooya Iranpour ◽  
Shahram Bolandparvaz ◽  
...  
Keyword(s):  
Ct Scan ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Cross Sectional Study ◽  
Chest Ct ◽  
Trauma Patients ◽  
Ct Scanner ◽  
Sectional Study ◽  
Cross Sectional ◽  
Chest Ct Scan

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.

CLINICAL CORRELATION AND AGREEMENT BETWEEN THE CHEST CT SCAN AND CHEST X-RAY FINDINGS IN TUBERCULIN-POSITIVE CHILDREN: A PROSPECTIVE CROSS SECTIONAL STUDY

CHEST Journal ◽  
2009 ◽  
Vol 136 (4) ◽  
pp. 40S
Author(s):  
Beverly D. Delacruz ◽  
Nerissa A. Deleon ◽  
Milagros S. Bautista ◽  
Fernando Ayuyao ◽  
Teresita Deguia
Keyword(s):  
Ct Scan ◽  
Cross Sectional Study ◽  
Chest Ct ◽  
Clinical Correlation ◽  
Sectional Study ◽  
Cross Sectional ◽  
X Ray ◽  
Chest X Ray ◽  
Chest Ct Scan

scholarly journals Evaluation of Chest CT scan as a screening and diagnostic tool in trauma patients with coronavirus disease 2019 (COVID-19): a cross-sectional study in southern Iran

2020 ◽  
Author(s):  
Hossein Abdolrahimzadeh Fard ◽  
Salahaddin Mahmudi-Azer ◽  
Sepideh Sefidbakht ◽  
Pooya Iranpour ◽  
Shahram Bolandparvaz ◽  
...  
Keyword(s):  
Ct Scan ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Cross Sectional Study ◽  
Chest Ct ◽  
Trauma Patients ◽  
Ct Scanner ◽  
Sectional Study ◽  
Cross Sectional ◽  
Chest Ct Scan

Abstract Purpose: 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 main CT scan features were described and classified into four groups according to RSNA recommendation. Subsequently, the first two RSNA categories with the highest probability of COVID 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 pneumonia into “negative CT scan group”.Results: Chest CT scan had a sensitivity (68%), specificity (56%), positive predictive value (34.8%), negative predictive value (83.7%), and accuracy (59.3%) in detecting COVID-19 among trauma patients. Also, for the diagnosis of COVID-19 by CT scan in asymptomatic individuals a sensitivity of 100% and a specificity of 66.7% and a negative predictive value of 100% was obtained.Conclusion: Findings of the study indicated that the CT scan's sensitivity and specificity is less effective in diagnosing trauma patients with COVID-19 in comparison to non-traumatic people.

scholarly journals Clinical predictors of abnormal chest CT scan findings following blunt chest trauma: A cross-sectional study

2020 ◽  
Vol 23 (1) ◽  
pp. 51-55
Author(s):  
Saeed Safari ◽  
Melina Farbod ◽  
Hamidreza Hatamabadi ◽  
Mahmoud Yousefifard ◽  
Navid Mokhtari
Keyword(s):  
Ct Scan ◽  
Blunt Chest Trauma ◽  
Chest Trauma ◽  
Cross Sectional Study ◽  
Chest Ct ◽  
Sectional Study ◽  
Clinical Predictors ◽  
Cross Sectional ◽  
Abnormal Chest ◽  
Chest Ct Scan

scholarly journals Evaluation of Chest CT scan as a screening and diagnostic tool in trauma patients with coronavirus disease 2019 (COVID-19): a cross-sectional study in southern Iran

2020 ◽  
Author(s):  
Hossein Abdolrahimzadeh Fard ◽  
Salahaddin Mahmudi-Azer ◽  
Sepideh Sefidbakht ◽  
Pooya Iranpour ◽  
Shahram Bolandparvaz ◽  
...  
Keyword(s):  
Ct Scan ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Cross Sectional Study ◽  
Chest Ct ◽  
Trauma Patients ◽  
Ct Scanner ◽  
Sectional Study ◽  
Cross Sectional ◽  
Chest Ct Scan

Abstract 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. Method: 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 main CT scan features were described and classified into four groups according to RSNA recommendation. Subsequently, the first two RSNA categories with the highest probability of COVID 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 pneumonia into “negative CT scan group”.Results: Chest CT scan had a sensitivity (68%), specificity (56%), positive predictive value (34.8%), negative predictive value (83.7%), and accuracy (59.3%) in detecting COVID-19 among trauma patients. Also, for the diagnosis of COVID-19 by CT scan in asymptomatic individuals a sensitivity of 100% and a specificity of 66.7% and a negative predictive value of 100% was obtained.Conclusion: Findings of the study indicated that the CT scan's sensitivity and specificity is less effective in diagnosing trauma patients with COVID-19 in comparison to non-traumatic people.

BURNOUT DURING COVID-19 PANDEMIC AMONG HEALTH CARE WORKERS OF A TERTIARY CARE CENTRE IN NORTHERN INDIA: A CROSS SECTIONAL STUDY.

2021 ◽  
pp. 30-32
Author(s):  
Vikesh Gupta ◽  
Sukhjit Singh ◽  
Vineet Kumar ◽  
Pankaj Kanwar
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Health Centre ◽  
Tertiary Care ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Tertiary Care Centre ◽  
Cross Sectional ◽  
Northern India ◽  
Care Workers

Background: COVID-19 pandemic is a novel viral illness due to which an uncertainty has developed among the general public as well as the health care workers (HCWs) regarding the future of mankind. This has resulted in burnout among the HCWs which has been reported by researchers from different parts of the world. Method: A cross sectional study was done among health care workers (faculty members, residents, nurses and interns) working in different specialties of a tertiary care health centre of Northern India. A self-designed performa containing sociodemographic details along with “Burnout Self-Test” scale was used to obtain the prevalence of burnout among HCWs. Result: Among 192 participants, the signs of burnout were found in 148 participants (77.1%) and most had mild burnout 90 (46.88). Conclusion: Burnout amongst health care workers is high particularly in unmarried and female HCWs.

scholarly journals Spectrum of Ground Glass Opacities in Chest CT of COVID-19 Patients in Karbala, Iraq

2020 ◽  
Vol 6 (3) ◽  
Author(s):  
Dhia Mahdey Alghazali ◽  
Maytham A Maamera ◽  
Haider Fadel Alkazraji ◽  
Ali A Abutiheen
Keyword(s):  
Ct Scan ◽  
Cross Sectional Study ◽  
Chest Ct ◽  
Ground Glass ◽  
P Value ◽  
Late Time ◽  
Chi Square ◽  
Cross Sectional ◽  
Male Predominance ◽  
Chest Ct Scan

Objective: To describe the ground-glass opacities (GGO) seen in chest CT scans of COVID-19 patients and to estimate the association between these opacities and the time of clinical presentation. Patients and methods: A cross-sectional study involving 81 COVID-19 confirmed patients in Imam Al-Hussein Medical city in Karbala-Iraq during the period from March 1st to April 20, 2020. Chest CT scan findings were evaluated by 2 radiologists and categorized accordingly. Chi-square test was used for statistical analysis and a P value of less than 0.05 was considered statistically significant. Results: The mean age ± standard deviation of patients was 53.5 ± 17.1 years, with male predominance as 63 (77.8%) of cases were males. Nearly half of the patients were presented within the second week of starting the sign and symptoms. GGO was present in 79 scans (97.5%), followed by consolidation opacity in 29 patients (35.8%). Four types of GGO were described. Bilateral multiple subpleural GGO was the most prevalent type. There was a significant association between late time of patient presentation and more extensive GGO type. Conclusion: Chest CT scan is valuable in the diagnosis and management of COVID-19 cases. The presence of GGO in CT scan of a patient that previously had no chest illness is highly suggestive of COVID-19 disease, different types of GGO were seen. Bilateral confluent type of GGO is associated with more serious and delayed status and warns the need for intensive care unit admission.

Sign in / Sign up

Export Citation Format

Share Document