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Article: Computer-assisted ultrasound assessment of plaque characteristics in radiation-induced and non-radiation-induced carotid atherosclerosis

TitleComputer-assisted ultrasound assessment of plaque characteristics in radiation-induced and non-radiation-induced carotid atherosclerosis
Authors
KeywordsAtherosclerotic plaque
carotid atherosclerosis
radiation effects
ultrasound
Issue Date2021
PublisherAME Publishing Company.
Citation
Quantitative Imaging in Medicine and Surgery, 2021, v. 11 n. 6, p. 2292-2306 How to Cite?
AbstractBackground: This study investigated the feasibility of using a computer-assisted method to evaluate and differentiate the carotid plaque characteristics in radiation-induced and non-radiation-induced carotid atherosclerosis. Methods: This study included 107 post-radiotherapy (post-RT) nasopharyngeal carcinoma (NPC) patients and 110 subjects with cardiovascular risk factors (CVRFs). Each participant had a carotid ultrasound examination, and carotid plaques and carotid intima-media thickness (CIMT) were evaluated with grey scale ultrasound. The carotid plaque characteristics were evaluated for grey-scale median (GSM) and detailed plaque texture analysis (DPTA) using specific computer software. In DPTA, five different intra-plaque components were colour-coded according to different grey scale ranges. A multivariate linear regression model was used to evaluate the correlation of risk factors and carotid plaque characteristics. Results: Post-RT NPC patients have significantly higher CIMT (748±15.1 µm, P=0.001), more patients had a plaque formation (80.4%, P<0.001) and more plaque locations (2.3±0.2, P<0.001) than CVRF subjects (680.4±10.0 µm, 38.2% and 0.5±0.1 respectively). Among the five intra-plaque components, radiation-induced carotid plaques had significantly larger area of calcification (4.8%±7.7%, P=0.012), but lesser area of lipid (42.1%±16.9%, P=0.034) when compared to non-radiation-induced carotid plaques (3.0%±5.7% and 46.3%±17.9% respectively). Age, radiation and number of CVRF were significantly associated with the carotid atherosclerosis burden (P<0.001). Besides, age was significantly associated with the amount of lipid and calcification within carotid plaques (P<0.001). Conclusions: Radiation caused more severe carotid artery disease than CVRF with larger CIMT and more prevalent of carotid plaque. Radiation-induced carotid plaques tended to have more intra-plaque calcifications, whereas non-radiation-induced carotid plaques had more lipids. Ultrasound aided by computer-assisted image analysis has potential for more accurate assessment of carotid atherosclerosis.
Persistent Identifierhttp://hdl.handle.net/10722/302378
ISSN
2020 Impact Factor: 3.837
2020 SCImago Journal Rankings: 0.766
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLi, Y-
dc.contributor.authorKwong, DLW-
dc.contributor.authorWu, VWC-
dc.contributor.authorYip, SP-
dc.contributor.authorLaw, HKW-
dc.contributor.authorLee, SWY-
dc.contributor.authorYing, MTC-
dc.date.accessioned2021-09-06T03:31:25Z-
dc.date.available2021-09-06T03:31:25Z-
dc.date.issued2021-
dc.identifier.citationQuantitative Imaging in Medicine and Surgery, 2021, v. 11 n. 6, p. 2292-2306-
dc.identifier.issn2223-4292-
dc.identifier.urihttp://hdl.handle.net/10722/302378-
dc.description.abstractBackground: This study investigated the feasibility of using a computer-assisted method to evaluate and differentiate the carotid plaque characteristics in radiation-induced and non-radiation-induced carotid atherosclerosis. Methods: This study included 107 post-radiotherapy (post-RT) nasopharyngeal carcinoma (NPC) patients and 110 subjects with cardiovascular risk factors (CVRFs). Each participant had a carotid ultrasound examination, and carotid plaques and carotid intima-media thickness (CIMT) were evaluated with grey scale ultrasound. The carotid plaque characteristics were evaluated for grey-scale median (GSM) and detailed plaque texture analysis (DPTA) using specific computer software. In DPTA, five different intra-plaque components were colour-coded according to different grey scale ranges. A multivariate linear regression model was used to evaluate the correlation of risk factors and carotid plaque characteristics. Results: Post-RT NPC patients have significantly higher CIMT (748±15.1 µm, P=0.001), more patients had a plaque formation (80.4%, P<0.001) and more plaque locations (2.3±0.2, P<0.001) than CVRF subjects (680.4±10.0 µm, 38.2% and 0.5±0.1 respectively). Among the five intra-plaque components, radiation-induced carotid plaques had significantly larger area of calcification (4.8%±7.7%, P=0.012), but lesser area of lipid (42.1%±16.9%, P=0.034) when compared to non-radiation-induced carotid plaques (3.0%±5.7% and 46.3%±17.9% respectively). Age, radiation and number of CVRF were significantly associated with the carotid atherosclerosis burden (P<0.001). Besides, age was significantly associated with the amount of lipid and calcification within carotid plaques (P<0.001). Conclusions: Radiation caused more severe carotid artery disease than CVRF with larger CIMT and more prevalent of carotid plaque. Radiation-induced carotid plaques tended to have more intra-plaque calcifications, whereas non-radiation-induced carotid plaques had more lipids. Ultrasound aided by computer-assisted image analysis has potential for more accurate assessment of carotid atherosclerosis.-
dc.languageeng-
dc.publisherAME Publishing Company.-
dc.relation.ispartofQuantitative Imaging in Medicine and Surgery-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAtherosclerotic plaque-
dc.subjectcarotid atherosclerosis-
dc.subjectradiation effects-
dc.subjectultrasound-
dc.titleComputer-assisted ultrasound assessment of plaque characteristics in radiation-induced and non-radiation-induced carotid atherosclerosis-
dc.typeArticle-
dc.identifier.emailKwong, DLW: dlwkwong@hku.hk-
dc.identifier.authorityKwong, DLW=rp00414-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.21037/qims-20-1012-
dc.identifier.scopuseid_2-s2.0-85104578742-
dc.identifier.hkuros324693-
dc.identifier.volume11-
dc.identifier.issue6-
dc.identifier.spage2292-
dc.identifier.epage2306-
dc.identifier.isiWOS:000640210000008-
dc.publisher.placeHong Kong-

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