Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/91648
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Health Technology and Informatics-
dc.creatorLi, YXen_US
dc.creatorKwong, DLWen_US
dc.creatorWu, VWCen_US
dc.creatorYip, SPen_US
dc.creatorLaw, HKWen_US
dc.creatorLee, SWYen_US
dc.creatorYing, MTCen_US
dc.date.accessioned2021-11-24T06:07:14Z-
dc.date.available2021-11-24T06:07:14Z-
dc.identifier.issn2223-4292en_US
dc.identifier.urihttp://hdl.handle.net/10397/91648-
dc.language.isoenen_US
dc.publisherAME Publishing Companyen_US
dc.rights© Quantitative Imaging in Medicine and Surgery. All rights reserved.-
dc.rightsThis is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the noncommercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.-
dc.rightsThe following publication Li Y, Kwong DLW, Wu VWC, Yip SP, Law HKW, Lee SWY, Ying MTC. Computer-assisted ultrasound assessment of plaque characteristics in radiationinduced and non-radiation-induced carotid atherosclerosis. Quant Imaging Med Surg 2021;11(6):2292-2306 is available at https://doi.org/10.21037/qims-20-1012-
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 atherosclerosisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2292en_US
dc.identifier.epage2306en_US
dc.identifier.volume11en_US
dc.identifier.issue6en_US
dc.identifier.doi10.21037/qims-20-1012en_US
dcterms.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.-
dcterms.abstractMethods: 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.-
dcterms.abstractResults: Post-RT NPC patients have significantly higher CIMT (748 +/- 15.1 mu m, 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 mu m, 38.2% and 0.5 +/- 0.1 respectively). Among the five intra-plaque components, radiationinduced 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).-
dcterms.abstractConclusions: 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.-
dcterms.accessRightsopen access-
dcterms.bibliographicCitationQuantitative imaging in medicine and surgery, June 2021, v. 11, no. 6, p. 2292-2306en_US
dcterms.isPartOfQuantitative imaging in medicine and surgeryen_US
dcterms.issued2021-06-
dc.identifier.isiWOS:000640210000008-
dc.identifier.scopus2-s2.0-85104578742-
dc.identifier.eissn2223-4306en_US
dc.description.validate202111 bchy-
dc.description.oaVersion of Record-
dc.identifier.FolderNumbera0626-n01, OA_Scopus/WOS-
dc.identifier.SubFormID629-
dc.description.fundingSourceOthers-
dc.description.fundingTextP0008624-
dc.description.pubStatusPublished-
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Li_Computer-assisted_ultrasound_assessment.pdf1.32 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

77
Last Week
1
Last month
Citations as of Apr 14, 2024

Downloads

47
Citations as of Apr 14, 2024

SCOPUSTM   
Citations

5
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

4
Citations as of Apr 18, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.