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Optimizing diagnostic imaging data using LI-RADS and the Likert scale in patients with hepatocellular carcinoma
hepatocellular carcinoma
LI-RADS
Likert scale
MRI
CT
Bibliogr. s. e563
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.abstract.en | 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. | pl |
dc.contributor.author | Morad, Kholoud | pl |
dc.contributor.author | Moustafa, Amr F. | pl |
dc.contributor.author | Refaat, Amal M. | pl |
dc.contributor.author | AbdEllatif, Ahmed | pl |
dc.contributor.author | ElAzab, Mohammed S. | pl |
dc.date.accessioned | 2021-11-19T07:01:13Z | |
dc.date.available | 2021-11-19T07:01:13Z | |
dc.date.issued | 2021 | pl |
dc.date.openaccess | 0 | |
dc.description.accesstime | w momencie opublikowania | |
dc.description.additional | Bibliogr. s. e563 | pl |
dc.description.physical | e557-e563 | pl |
dc.description.version | ostateczna wersja wydawcy | |
dc.description.volume | 86 | pl |
dc.identifier.doi | 10.5114/pjr.2021.110647 | pl |
dc.identifier.eissn | 1899-0967 | pl |
dc.identifier.issn | 1733-134X | pl |
dc.identifier.uri | https://ruj.uj.edu.pl/xmlui/handle/item/284064 | |
dc.language | eng | pl |
dc.language.container | eng | pl |
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.en | hepatocellular carcinoma | pl |
dc.subject.en | LI-RADS | pl |
dc.subject.en | Likert scale | pl |
dc.subject.en | MRI | pl |
dc.subject.en | CT | pl |
dc.subtype | Article | pl |
dc.title | Optimizing diagnostic imaging data using LI-RADS and the Likert scale in patients with hepatocellular carcinoma | pl |
dc.title.journal | Polish Journal of Radiology | pl |
dc.type | JournalArticle | pl |
dspace.entity.type | Publication |
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