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...

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Published in:Iranian journal of medical sciences 2022-07, Vol.47 (4), p.338-349
Main Authors: Zarei, Fariba, Jalli, Reza, Chatterjee, Sabyasachi, Haghighi, Rezvan Ravanfar, Iranpour, Pooya, Chatterjee, Vani Vardhan, Emadi, PhD, Sedigheh
Format: Article
Language:English
Subjects:
computed tomography
Coronaviruses
COVID-19
CT imaging
Information management
Lung diseases
Original
Performance evaluation
Radiation
radiation protection
Tomography
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container_issue 4
container_start_page 338
container_title Iranian journal of medical sciences
container_volume 47
creator Zarei, Fariba
Jalli, Reza
Chatterjee, Sabyasachi
Haghighi, Rezvan Ravanfar
Iranpour, Pooya
Chatterjee, Vani Vardhan
Emadi, PhD
Sedigheh
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 ([kappa]). P
doi_str_mv 10.30476/IJMS.2021.90665.2165
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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 ([kappa]). P&lt;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 ([kappa]=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. An earlier preliminary report of a similar work with a lower sample size was submitted to the arXive as a preprint. 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Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at .</rights><rights>Copyright: © Iranian Journal of Medical Sciences</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2688470385?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2688470385?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25752,27923,27924,37011,37012,38515,43894,44589,53790,53792,74183,74897</link.rule.ids></links><search><creatorcontrib>Zarei, Fariba</creatorcontrib><creatorcontrib>Jalli, Reza</creatorcontrib><creatorcontrib>Chatterjee, Sabyasachi</creatorcontrib><creatorcontrib>Haghighi, Rezvan Ravanfar</creatorcontrib><creatorcontrib>Iranpour, Pooya</creatorcontrib><creatorcontrib>Chatterjee, Vani Vardhan</creatorcontrib><creatorcontrib>Emadi, PhD; Sedigheh</creatorcontrib><title>Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study</title><title>Iranian journal of medical sciences</title><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. 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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. An earlier preliminary report of a similar work with a lower sample size was submitted to the arXive as a preprint. 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subjects computed tomography
Coronaviruses
COVID-19
CT imaging
Information management
Lung diseases
Original
Performance evaluation
Radiation
radiation protection
Tomography
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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