ArticleLa Radiologia medica2020
Characterization of liver nodules in patients with chronic liver disease by MRI: performance of the Liver Imaging Reporting and Data System (LI-RADS v.2018) scale and its comparison with the Likert scale.
Article in La Radiologia medica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Liver Imaging Reporting and Data System version 2018 category 5 for diagnosing hepatocellular carcinoma: an updated meta-analysis.European radiology · 2024Pooled it
- Constructing a Competency Evaluation Index System for Nursing Positions in a Chronic Kidney Disease Management Centre.Journal of multidisciplinary healthcare · 2024Article
- Assessment of LI-RADS efficacy in classification of hepatocellular carcinoma and benign liver nodules using DCE-MRI features and machine learning.European journal of radiology open · 2023Article
- Structured Reporting in Radiological Settings: Pitfalls and Perspectives.Journal of personalized medicine · 2022Review
- Management of cutaneous melanoma: radiologists challenging and risk assessment.La Radiologia medica · 2022Review
- A Narrative Review on LI-RADS Algorithm in Liver Tumors: Prospects and Pitfalls.Diagnostics (Basel, Switzerland) · 2022Review
- Radiomics and machine learning analysis based on magnetic resonance imaging in the assessment of liver mucinous colorectal metastases.La Radiologia medica · 2022Article
- Diffusion weighted imaging and diffusion kurtosis imaging in abdominal oncological setting: why and when.Infectious agents and cancer · 2022Review
- Imaging Features of Post Main Hepatectomy Complications: The Radiologist Challenging.Diagnostics (Basel, Switzerland) · 2022Review
- Complications Risk Assessment and Imaging Findings of Thermal Ablation Treatment in Liver Cancers: What the Radiologist Should Expect.Journal of clinical medicine · 2022Review
- Electrochemotherapy of Primary Colon Rectum Cancer and Local Recurrence: Case Report and Prospective Analysis.Journal of clinical medicine · 2022Article
- Complications after Thermal Ablation of Hepatocellular Carcinoma and Liver Metastases: Imaging Findings.Diagnostics (Basel, Switzerland) · 2022Review
- Radiomics textural features by MR imaging to assess clinical outcomes following liver resection in colorectal liver metastases.La Radiologia medica · 2022Article
- Radiomics and Machine Learning Analysis Based on Magnetic Resonance Imaging in the Assessment of Colorectal Liver Metastases Growth Pattern.Diagnostics (Basel, Switzerland) · 2022Article
- Magnetic Resonance Features of Liver Mucinous Colorectal Metastases: What the Radiologist Should Know.Journal of clinical medicine · 2022Article
- Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.Japanese journal of radiology · 2022Review
- Conventional, functional and radiomics assessment for intrahepatic cholangiocarcinoma.Infectious agents and cancer · 2022Article
- CT-Based Radiomics Analysis to Predict Histopathological Outcomes Following Liver Resection in Colorectal Liver Metastases.Cancers · 2022Article
- Advanced Magnetic Resonance Imaging (MRI) Techniques: Technical Principles and Applications in Nanomedicine.Cancers · 2022Review
- Morphological, dynamic and functional characteristics of liver pseudolesions and benign lesions.La Radiologia medica · 2022Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo evaluate the performance of the LI-RADS v.2018 scale by comparing it with the Likert scale, in the characterization of liver lesions.
methodsA total of 39 patients with chronic liver disease underwent MR examination for characterization of 44 liver lesions. Images were independently analyzed by two radiologists using the LI-RADS scale and by another two radiologists using the Likert scale. The reference standard used was either histopathological evaluation or a 4-year MRI follow-up. Receiver operating characteristic analysis was performed.
resultsThe LI-RADS scale obtained an accuracy of 80%, a sensitivity of 72%, a specificity of 93%, a positive predictive value (PPV) of 93% and a negative predictive value (NPV) of 70%, while the Likert scale achieved an accuracy of 79%, a sensitivity of 73%, a specificity of 87%, a PPV of 89% and a NPV of 70%. The area under the curve (AUC) was 85% for the LI-RADS scale and 83% for the Likert scale. The inter-observer agreement was strong (k = 0.89) between the LI-RADS evaluators and moderate (k = 0.69) between the Likert evaluators.
conclusionsThere was no statistically significant difference between the performances of the two scales; nevertheless, we suggest that the LI-RADS scale be used, as it appeared more objective and consistent.
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