Evidence map›Paper›PMID 34820032›Full record

ArticlePolish journal of radiology2021

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

Kholoud Morad, Amr F Moustafa, Amal M Refaat, Ahmed AbdEllatif, Mohammed S ElAzab

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Article in Polish journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Kholoud MoradNational Cancer Institute, Cairo University, Cairo, Egypt.
Amr F MoustafaNational Cancer Institute, Cairo University, Cairo, Egypt.
Amal M RefaatNational Cancer Institute, Cairo University, Cairo, Egypt.
Ahmed AbdEllatifNational Cancer Institute, Cairo University, Cairo, Egypt.
Mohammed S ElAzabNational Cancer Institute, Cairo University, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe 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

methodsDiagnostic 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.

resultsThere 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.

conclusionsLI-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.

Indexed as

CThepatocellular carcinomaLikert scaleLI-RADSMRI

Identifiers

PMID34820032
PMCPMC8607836

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