Combining CEUS and CT/MRI LI-RADS major imaging features: diagnostic accuracy for classification of indeterminate liver observations in patients at risk for HCC
Rattachement africain : us, it, ca, ch, gb. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
PURPOSE: To determine the diagnostic accuracy of combining CEUS and CT/MRI LI-RADS major imaging features for the improved categorization of liver observations indeterminate on both CT/MRI and CEUS. MATERIALS AND METHODS: A retrospective analysis using a database from a prospective study conducted at 11 centers in North America and Europe from 2018 to 2022 included a total of 109 participants at risk for HCC who had liver observations with indeterminate characterization (LR3, LR-4, and LR-M) on both CEUS and CT/MRI. The individual CEUS and CT/MRI LI-RADS major features were extracted from the original study and analyzed in various combinations. Reference standards included biopsy, explant histology, and follow-up CT/MRI. The diagnostic performance of the combinations of LI-RADS major features for definitive diagnosis of HCC was calculated. A reverse, stepwise logistical regression sub-analysis was also performed. RESULTS: This study included 114 observations indeterminate on both CT/MRI and CEUS. These observations were categorized as LR-3 (n = 37), LR-4 (n = 41), and LR-M (n = 36) on CT/MRI and LR-3 (n = 48), LR-4 (n = 36), LR-M (n = 29), and LR-TIV (n = 1) on CEUS. Of them, 43.0% (49/114) were confirmed as HCC, 37.3% (43/114) non-malignant, and 19.3% (22/114) non-hepatocellular malignancies. The highest diagnostic accuracy among the combinations of imaging features was achieved in CT/MRI LR-3 observations, where the combination of CEUS arterial phase hyper-enhancement (APHE) + CT/MRI APHE had 96.7% specificity, 75.0% positive predictive value (PPV), and 86.5% accuracy for HCC. CONCLUSION: The combination of LI-RADS major features on CT/MRI and CEUS showed higher specificity, PPV, and accuracy compared to individual modalities' assessments, particularly for CT/MRI LR-3 observations.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Combining CEUS and CT/MRI LI-RADS major imaging features: diagnostic accuracy for classification of indeterminate liver observations in patients at risk for HCC
- Date Crossref
- 23/10/2024
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Thomas Jefferson University Hospital Department of Radiology pays non établi dans la noticeÉtablissement de santé
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University of California San Diego Department of Medicine pays non établi dans la noticeUniversité ou école supérieure
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Azienda USL di Bologna pays non établi dans la noticeÉtablissement de santé
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University of Bologna Department of Medical and Surgical Sciences pays non établi dans la noticeUniversité ou école supérieure
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University of Calgary Department of Radiology pays non établi dans la noticeUniversité ou école supérieure
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Jefferson Einstein Philadelphia Hospital pays non établi dans la noticeÉtablissement de santé
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Vanderbilt University Department of Radiology pays non établi dans la noticeUniversité ou école supérieure
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Stanford University Department of Radiology pays non établi dans la noticeUniversité ou école supérieure
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Southwestern Medical Center Department of Radiology pays non établi dans la noticeÉtablissement de santé
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The University of Texas Southwestern Medical Center pays non établi dans la noticeÉtablissement de santé
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University of Bern pays non établi dans la noticeUniversité ou école supérieure
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University Hospital of Bern pays non établi dans la noticeÉtablissement de santé
Department of Radiology — Thomas Jefferson University Hospital, Department of Medicine — University of California San Diego et Azienda USL di Bologna, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.