Data‐Driven Modification of the LI‐RADS Major Feature System on Gadoxetate Disodium‐Enhanced MRI : Toward Better Sensitivity and Simplicity
| Autor: | Islam H Zaki, Hanyu Jiang, Yuanan Wu, Matthew D. F. McInnes, Yi Wei, Mustafa R. Bashir, Bin Song, Yun Qin, Meghana Konanur, Kyle Lafata |
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| Rok vydání: | 2021 |
| Předmět: |
Gadolinium DTPA
education.field_of_study Carcinoma Hepatocellular medicine.diagnostic_test business.industry Liver Neoplasms Population Contrast Media Magnetic resonance imaging Magnetic Resonance Imaging Sensitivity and Specificity Gadoxetate Disodium McNemar's test Interquartile range Feature (computer vision) Humans Medicine Radiology Nuclear Medicine and imaging Stage (cooking) business Nuclear medicine education Generalized estimating equation Retrospective Studies |
| Zdroj: | Journal of Magnetic Resonance Imaging. 55:493-506 |
| ISSN: | 1522-2586 1053-1807 |
| DOI: | 10.1002/jmri.27824 |
| Popis: | BACKGROUND The Liver Imaging Reporting and Data System (LI-RADS) is widely accepted as a reliable diagnostic scheme for hepatocellular carcinoma (HCC) in at-risk patients. However, its application is hampered by substantial complexity and suboptimal diagnostic sensitivity. PURPOSE To propose data-driven modifications to the LI-RADS version 2018 (v2018) major feature system (rLI-RADS) on gadoxetate disodium (EOB)-enhanced magnetic resonance imaging (MRI) to improve sensitivity and simplicity while maintaining high positive predictive value (PPV) for detecting HCC. STUDY TYPE Retrospective. POPULATION Two hundred and twenty-four consecutive at-risk patients (training dataset: 169, independent testing dataset: 55) with 742 LR-3 to LR-5 liver observations (HCC: N = 498 [67%]) were analyzed from a prospective observational registry collected between July 2015 and September 2018. FIELD STRENGTH/SEQUENCE 3.0 T/T2-weighted fast spin-echo, diffusion-weighted spin-echo based echo-planar and three-dimensional (3D) T1-weighted gradient echo sequences. ASSESSMENT All images were evaluated by three independent abdominal radiologists who were blinded to all clinical, pathological, and follow-up information. Composite reference standards of either histopathology or imaging follow-up were used. STATISTICAL TESTS In the training dataset, LI-RADS v2018 major features were used to develop rLI-RADS based on their associated PPV for HCC. In an independent testing set, diagnostic performances of LI-RADS v2018 and rLI-RADS were computed using a generalized estimating equation model and compared with McNemar's test. A P value |
| Databáze: | OpenAIRE |
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