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Zarei, Fariba, Jalli, Reza, Chatterjee, Sabyasachi, Ravanfar Haghighi, Rezvan, Iranpour, Pooya, Vardhan Chatterjee, Vani, Emadi, Sedigheh. (1401). Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study. سامانه مدیریت نشریات علمی, 47(4), 338-349. doi: 10.30476/ijms.2021.90665.2165
Fariba Zarei; Reza Jalli; Sabyasachi Chatterjee; Rezvan Ravanfar Haghighi; Pooya Iranpour; Vani Vardhan Chatterjee; Sedigheh Emadi. "Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study". سامانه مدیریت نشریات علمی, 47, 4, 1401, 338-349. doi: 10.30476/ijms.2021.90665.2165
Zarei, Fariba, Jalli, Reza, Chatterjee, Sabyasachi, Ravanfar Haghighi, Rezvan, Iranpour, Pooya, Vardhan Chatterjee, Vani, Emadi, Sedigheh. (1401). 'Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study', سامانه مدیریت نشریات علمی, 47(4), pp. 338-349. doi: 10.30476/ijms.2021.90665.2165
Zarei, Fariba, Jalli, Reza, Chatterjee, Sabyasachi, Ravanfar Haghighi, Rezvan, Iranpour, Pooya, Vardhan Chatterjee, Vani, Emadi, Sedigheh. Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study. سامانه مدیریت نشریات علمی, 1401; 47(4): 338-349. doi: 10.30476/ijms.2021.90665.2165

Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study

Iranian Journal of Medical Sciences
مقاله 7، دوره 47، شماره 4، مهر 2022، صفحه 338-349    اصل مقاله (1.79 M)
نوع مقاله: Original Article(s)
شناسه دیجیتال (DOI): 10.30476/ijms.2021.90665.2165
نویسندگان
Fariba Zarei1؛ Reza Jalli1؛ Sabyasachi Chatterjee2؛ Rezvan Ravanfar Haghighi* 1؛ Pooya Iranpour1؛ Vani Vardhan Chatterjee3؛ Sedigheh Emadi1
1Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
2Ongil, 79 D3, Sivaya Nagar, Reddiyur Alagapuram, Salem, India
3Department of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore, India
چکیده
Background: The present study aimed to evaluate the effectiveness of ultra-low-dose (ULD) chest computed tomography (CT) in comparison with the routine dose (RD) CT images in detecting lung lesions related to COVID-19.
Methods: A prospective study was conducted during April-September 2020 at Shahid Faghihi Hospital affiliated with Shiraz University of Medical Sciences, Shiraz, Iran. In total, 273 volunteers with suspected COVID-19 participated in the study and successively underwent RD-CT and ULD-CT chest scans. Two expert radiologists qualitatively evaluated the images. Dose assessment was performed by determining volume CT dose index, dose length product, and size-specific dose estimate. Data analysis was performed using a ranking test and kappa coefficient (κ). P<0.05 was considered statistically significant.
Results: Lung lesions could be detected with both RD-CT and ULD-CT images in patients with suspected or confirmed COVID-19 (κ=1.0, P=0.016). The estimated effective dose for the RD-CT protocol was 22-fold higher than in the ULD-CT protocol. In the case of the ULD-CT protocol, sensitivity, specificity, accuracy, and positive predictive value for the detection of consolidation were 60%, 83%, 80%, and 20%, respectively. Comparably, in the case of RD-CT, these percentages for the detection of ground-glass opacity (GGO) were 62%, 66%, 66%, and 18%, respectively. Assuming the result of real-time polymerase chain reaction as true-positive, analysis of the receiver-operating characteristic curve for GGO detected using the ULD-CT protocol showed a maximum area under the curve of 0.78. 
Conclusion: ULD-CT, with 94% dose reduction, can be an alternative to RD-CT to detect lung lesions for COVID-19 diagnosis and follow-up. 
کلیدواژه‌ها
COVID-19؛ Radiation protection؛ Computed tomography
سایر فایل های مرتبط با مقاله
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