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
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Hossein Abdolrahimzadeh Fard ◽  
Salahaddin Mahmudi-Azer ◽  
Sepideh Sefidbakht ◽  
Pooya Iranpour ◽  
Shahram Bolandparvaz ◽  
...  

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.


CHEST Journal ◽  
2009 ◽  
Vol 136 (4) ◽  
pp. 40S
Author(s):  
Beverly D. Delacruz ◽  
Nerissa A. Deleon ◽  
Milagros S. Bautista ◽  
Fernando Ayuyao ◽  
Teresita Deguia

2020 ◽  
Author(s):  
Hossein Abdolrahimzadeh Fard ◽  
Salahaddin Mahmudi-Azer ◽  
Sepideh Sefidbakht ◽  
Pooya Iranpour ◽  
Shahram Bolandparvaz ◽  
...  

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.


2020 ◽  
Author(s):  
Hossein Abdolrahimzadeh Fard ◽  
Salahaddin Mahmudi-Azer ◽  
Sepideh Sefidbakht ◽  
Pooya Iranpour ◽  
Shahram Bolandparvaz ◽  
...  

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.


Author(s):  
GABRIEL SEBBEN REICHARDT ◽  
GABRIEL MONDIN NOGUEIRA ◽  
LEONARDO KRIEGER RAFAEL ◽  
PAULO ROBERTO SOLTOSKI ◽  
SILVANIA KLUG PIMENTEL

ABSTRACT Objective: to perform an external validation of two clinical decision instruments (DIs) - Chest CT-All and Chest CT-Major - in a cohort of patients with blunt chest trauma undergoing chest CT scanning at a trauma referral center, and determine if these DIs are safe options for selective ordering of chest CT scans in patients with blunt chest trauma admitted to emergency units. Methods: cross-sectional study of patients with blunt chest trauma undergoing chest CT scanning over a period of 11 months. Chest CT reports were cross-checked with the patients’ electronic medical record data. The sensitivity and specificity of both instruments were calculated. Results: the study included 764 patients. The Chest CT-All DI showed 100% sensitivity for all injuries and specificity values of 33.6% for injuries of major clinical significance and 40.4% for any lesion. The Chest CT-Major DI had sensitivity of 100% for injuries of major clinical significance, which decreased to 98.6% for any lesions, and specificity values of 37.4% for injuries of major clinical significance and 44.6% for all lesions. Conclusion: both clinical DIs validated in this study showed adequate sensitivity to detect chest injuries on CT and can be safely used to forego chest CT evaluation in patients without any of the criteria that define each DI. Had the Chest CT-All and Chest CT-Major DIs been applied in this cohort, the number of CT scans performed would have decreased by 23.1% and 24.6%, respectively, resulting in cost reduction and avoiding unnecessary radiation exposure.


2020 ◽  
Vol 6 (3) ◽  
Author(s):  
Dhia Mahdey Alghazali ◽  
Maytham A Maamera ◽  
Haider Fadel Alkazraji ◽  
Ali A Abutiheen

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.


2020 ◽  
Vol 23 (11) ◽  
pp. 787-793
Author(s):  
Amir Reza Radmard ◽  
Ali Gholamrezanezhad ◽  
Seyed Ali Montazeri ◽  
Amir Kasaeian ◽  
Nemat Nematollahy ◽  
...  

Background: Chest computed tomography (CT) scan has been used widely to diagnose COVID-19 in Iran. Objectives: To trace the footsteps of COVID-19 in Iran by exploring the trend in using chest CT scans and its economic impact on radiology departments. Methods: In this cross-sectional study, the number of imaging examinations from 33 tertiary radiology departments in 9 large cities of Iran was collected from September 23, 2019 to March 20, 2020 (Months 1 to 6) and the corresponding months in 2018–2019. Results: A 50.2% increase was noted in the chest CT scan utilization in 2019–2020 compared to 2018–2019. This increase was +15%, +15%, +27%, +2%, +1% in Months 1–5 of 2019–2020, respectively. In Month 6 of 2019–2020, a 251% increase in the acquisition of chest CT scans was observed compared to the Month 6 of 2018–2019. Following negative balance of revenue from Month 1 to 5 with respect to the inflation rate, the total income in Month 6 was further 1.5% less than the same Month in 2018–19. Conclusion: The observed peak in chest CT utilization in Month 3 prior to the surge in Month 6 could be explained by the seasonal influenza. However, unawareness about an emerging viral disease, i.e. COVID-19, might have underutilized chest CT in Months 4 and 5 before the official announcement in Month 6. The unbalanced increase in the workload of radiology departments in the shortage of cardiothoracic radiologists with the simultaneous decrease in income initiated a vicious cycle that worsened the economic repercussions of the pandemic.


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