Optimizing diagnostic imaging data using LI-RADS and the Likert scale in patients with hepatocellular carcinoma

2021
journal article
article
dc.abstract.enPurpose: The study aimed to compare the diagnostic performance of the Liver Imaging Reporting and Data System (LI-RADS), which incorporates fixed criteria, and the Likert scale (LS), which mainly depends on an overall impression in liver lesion diagnosis. Material and methods: Diagnostic data of 110 hepatic nodules in 103 high-risk patients for hepatocellular carcinoma (HCC) were included. Data including diameter, arterial hyperenhancement, washout, and capsule were reviewed by 2 readers using LI-RADS and LS (range, score 1-5). Inter-reader agreement (IRA), intraclass agreement (ICA), and diagnostic performance were determined by Fleiss, Cohen's k, and logistic regression, respectively. Results: There were 53 triphasic enhanced computed tomography (CT) and 50 dynamic magnetic resonance (MR) examinations. Overall, IRA was excellent (k = 0.898). IRA was good for arterial hyperenhancement (k = 0.705), washout (k = 0.763), and capsule (k = 0.771) and excellent for diameter (k = 0.981) and tumour embolus (k = 0.927). Overall, ICA between LI-RADS and LS was fair 0.32; ICA was good for scores of 1 (k = 0.682), fair for scores of 2 (k = 0.36), moderate for scores of 5 (k = 0.52), but no agreement was found for scores of 3 (k = –0.059) and 4 (k = –0.022). LIRADS produced relatively high accuracy (87.3% vs. 80%), relatively low sensitivity (84.3% vs. 98%), and significantly higher specificity (89.83% vs. 64.4%) and positive likelihood ratio (+LR: 8.29 vs. 2.75) compared to LS approach. Conclusions: LI-RADS revealed higher diagnostic accuracy as compared to LS with statistical proof higher specificity and +LR showing its ability to foretell malignancy in high-risk patients. We recommend the practical application of the LI-RADS system in the detection and treatment response monitoring of patients with HCC.pl
dc.contributor.authorMorad, Kholoudpl
dc.contributor.authorMoustafa, Amr F.pl
dc.contributor.authorRefaat, Amal M.pl
dc.contributor.authorAbdEllatif, Ahmedpl
dc.contributor.authorElAzab, Mohammed S.pl
dc.date.accessioned2021-11-19T07:01:13Z
dc.date.available2021-11-19T07:01:13Z
dc.date.issued2021pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. e563pl
dc.description.physicale557-e563pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume86pl
dc.identifier.doi10.5114/pjr.2021.110647pl
dc.identifier.eissn1899-0967pl
dc.identifier.issn1733-134Xpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/284064
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa*
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl*
dc.share.typeotwarte czasopismo
dc.subject.enhepatocellular carcinomapl
dc.subject.enLI-RADSpl
dc.subject.enLikert scalepl
dc.subject.enMRIpl
dc.subject.enCTpl
dc.subtypeArticlepl
dc.titleOptimizing diagnostic imaging data using LI-RADS and the Likert scale in patients with hepatocellular carcinomapl
dc.title.journalPolish Journal of Radiologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
dc.abstract.enpl
Purpose: The study aimed to compare the diagnostic performance of the Liver Imaging Reporting and Data System (LI-RADS), which incorporates fixed criteria, and the Likert scale (LS), which mainly depends on an overall impression in liver lesion diagnosis. Material and methods: Diagnostic data of 110 hepatic nodules in 103 high-risk patients for hepatocellular carcinoma (HCC) were included. Data including diameter, arterial hyperenhancement, washout, and capsule were reviewed by 2 readers using LI-RADS and LS (range, score 1-5). Inter-reader agreement (IRA), intraclass agreement (ICA), and diagnostic performance were determined by Fleiss, Cohen's k, and logistic regression, respectively. Results: There were 53 triphasic enhanced computed tomography (CT) and 50 dynamic magnetic resonance (MR) examinations. Overall, IRA was excellent (k = 0.898). IRA was good for arterial hyperenhancement (k = 0.705), washout (k = 0.763), and capsule (k = 0.771) and excellent for diameter (k = 0.981) and tumour embolus (k = 0.927). Overall, ICA between LI-RADS and LS was fair 0.32; ICA was good for scores of 1 (k = 0.682), fair for scores of 2 (k = 0.36), moderate for scores of 5 (k = 0.52), but no agreement was found for scores of 3 (k = –0.059) and 4 (k = –0.022). LIRADS produced relatively high accuracy (87.3% vs. 80%), relatively low sensitivity (84.3% vs. 98%), and significantly higher specificity (89.83% vs. 64.4%) and positive likelihood ratio (+LR: 8.29 vs. 2.75) compared to LS approach. Conclusions: LI-RADS revealed higher diagnostic accuracy as compared to LS with statistical proof higher specificity and +LR showing its ability to foretell malignancy in high-risk patients. We recommend the practical application of the LI-RADS system in the detection and treatment response monitoring of patients with HCC.
dc.contributor.authorpl
Morad, Kholoud
dc.contributor.authorpl
Moustafa, Amr F.
dc.contributor.authorpl
Refaat, Amal M.
dc.contributor.authorpl
AbdEllatif, Ahmed
dc.contributor.authorpl
ElAzab, Mohammed S.
dc.date.accessioned
2021-11-19T07:01:13Z
dc.date.available
2021-11-19T07:01:13Z
dc.date.issuedpl
2021
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. e563
dc.description.physicalpl
e557-e563
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
86
dc.identifier.doipl
10.5114/pjr.2021.110647
dc.identifier.eissnpl
1899-0967
dc.identifier.issnpl
1733-134X
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/284064
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri*
http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.type
otwarte czasopismo
dc.subject.enpl
hepatocellular carcinoma
dc.subject.enpl
LI-RADS
dc.subject.enpl
Likert scale
dc.subject.enpl
MRI
dc.subject.enpl
CT
dc.subtypepl
Article
dc.titlepl
Optimizing diagnostic imaging data using LI-RADS and the Likert scale in patients with hepatocellular carcinoma
dc.title.journalpl
Polish Journal of Radiology
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

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