Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study
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 F...
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| Format: | Article |
| Language: | English |
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Shiraz University of Medical Sciences
2022-07-01
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| Series: | Iranian Journal of Medical Sciences |
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| Online Access: | https://ijms.sums.ac.ir/article_48291_57d722f25ce47d88f34bb5dbc819874c.pdf |
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| author | Fariba Zarei Reza Jalli Sabyasachi Chatterjee Rezvan Ravanfar Haghighi Pooya Iranpour Vani Vardhan Chatterjee Sedigheh Emadi |
| author_facet | Fariba Zarei Reza Jalli Sabyasachi Chatterjee Rezvan Ravanfar Haghighi Pooya Iranpour Vani Vardhan Chatterjee Sedigheh Emadi |
| author_sort | Fariba Zarei |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T15:29:01Z |
| format | Article |
| id | doaj.art-4f5e02d30a3d4706b92db5c43b8e00f5 |
| institution | Directory Open Access Journal |
| issn | 0253-0716 1735-3688 |
| language | English |
| last_indexed | 2024-12-11T15:29:01Z |
| publishDate | 2022-07-01 |
| publisher | Shiraz University of Medical Sciences |
| record_format | Article |
| series | Iranian Journal of Medical Sciences |
| spelling | doaj.art-4f5e02d30a3d4706b92db5c43b8e00f52022-12-22T01:00:07ZengShiraz University of Medical SciencesIranian Journal of Medical Sciences0253-07161735-36882022-07-0147433834910.30476/ijms.2021.90665.216548291Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective StudyFariba Zarei0Reza Jalli1Sabyasachi Chatterjee2Rezvan Ravanfar Haghighi3Pooya Iranpour4Vani Vardhan Chatterjee5Sedigheh Emadi6Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, IranMedical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, IranOngil, 79 D3, Sivaya Nagar, Reddiyur Alagapuram, Salem, IndiaMedical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, IranMedical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, IranDepartment of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore, IndiaMedical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, IranBackground: 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.https://ijms.sums.ac.ir/article_48291_57d722f25ce47d88f34bb5dbc819874c.pdfcovid-19radiation protectioncomputed tomography |
| spellingShingle | 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 Iranian Journal of Medical Sciences covid-19 radiation protection computed tomography |
| title | Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study |
| title_full | Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study |
| title_fullStr | Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study |
| title_full_unstemmed | Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study |
| title_short | Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study |
| title_sort | evaluation of ultra low dose chest computed tomography images in detecting lung lesions related to covid 19 a prospective study |
| topic | covid-19 radiation protection computed tomography |
| url | https://ijms.sums.ac.ir/article_48291_57d722f25ce47d88f34bb5dbc819874c.pdf |
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