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

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Zarei Fariba; JALLI REZA; Chatterjee Sabyasachi; Ravanfar Haghighi Rezvan; Iranpour Pooya; Chatterjee Vani Vardhan; Emadi Sedigheh

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Journal: IRANIAN JOURNAL OF MEDICAL SCIENCES (IJMS) Year:2022 | Volume:47 | Issue:4 Page(s): 338-349

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Title

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

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Keywords

COVID-19

Radiation protection

Computed tomography

Abstract

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 AprilSeptember 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 COVID19 (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 groundglass 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. An earlier preliminary report of a similar work with a lower sample size was submitted to the arXive as a preprint. The preprint is cited as: https: //arxiv. org/abs/2005. 03347

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APA: Copy

Zarei, Fariba, JALLI, REZA, Chatterjee, Sabyasachi, Ravanfar Haghighi, Rezvan, Iranpour, Pooya, Chatterjee, Vani Vardhan, & Emadi, Sedigheh. (2022). 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 (IJMS), 47(4), 338-349. SID. https://sid.ir/paper/1091137/en

Vancouver: Copy

Zarei Fariba, JALLI REZA, Chatterjee Sabyasachi, Ravanfar Haghighi Rezvan, Iranpour Pooya, Chatterjee Vani Vardhan, Emadi Sedigheh. 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 (IJMS)[Internet]. 2022;47(4):338-349. Available from: https://sid.ir/paper/1091137/en

IEEE: Copy

Fariba Zarei, REZA JALLI, Sabyasachi Chatterjee, Rezvan Ravanfar Haghighi, Pooya Iranpour, Vani Vardhan Chatterjee, and Sedigheh Emadi, “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 (IJMS), vol. 47, no. 4, pp. 338–349, 2022, [Online]. Available: https://sid.ir/paper/1091137/en

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