Hepatocellular carcinoma (HCC) vs. non-HCC: accuracy and reliability of Liver Imaging Reporting and Data System v2018
| Autor: | Tyler J. Fraum, Allan Tsung, Muhammad Naeem, Roberto Cannella, Anup S. Shetty, Richard Tsai, Amber Salter, Daniel R. Ludwig, Alessandro Furlan, Kathryn J. Fowler, Maverick LeBlanc, Amir A. Borhani, David H. Ballard |
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| Přispěvatelé: | Ludwig D.R., Fraum T.J., Cannella R., Ballard D.H., Tsai R., Naeem M., LeBlanc M., Salter A., Tsung A., Shetty A.S., Borhani A.A., Furlan A., Fowler K.J. |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Adult
Male medicine.medical_specialty Cirrhosis Carcinoma Hepatocellular Urology Malignancy Sensitivity and Specificity Article 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Internal medicine Image Interpretation Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging In patient Liver imaging Aged Retrospective Studies Aged 80 and over Cirrhosi Radiological and Ultrasound Technology business.industry Liver Neoplasms Gastroenterology Reproducibility of Results Retrospective cohort study Hepatology Middle Aged medicine.disease Magnetic Resonance Imaging Interrater reliability digestive system diseases Combined hepatocellular-cholangiocarcinoma (cHCC-CCA) 030220 oncology & carcinogenesis Hepatocellular carcinoma Cohort LI-RADS Female Radiology business Tomography X-Ray Computed Intrahepatic cholangiocarcinoma (iCCA) Algorithms |
| Zdroj: | Abdom Radiol (NY) |
| Popis: | PURPOSE: The Liver Imaging Reporting and Data System (LI-RADS) was created to standardize the diagnostic criteria for hepatocellular carcinoma (HCC), and has undergone multiple revisions including a recent update in 2018 (v2018). The primary aim of this study was to determine the diagnostic performance and interrater reliability (IRR) of LI-RADS v2018 for distinguishing HCC from non-HCC primary hepatic malignancy in patients ‘at-risk’ for HCC. A secondary aim was to assess the impact of changes introduced in the v2018 diagnostic algorithm. METHODS: This retrospective study combined a 10-year experience of pathologically-proven primary liver malignancies from two large liver transplant centers. Two blinded readers independently evaluated each lesion and assigned a LI-RADS diagnostic category, additionally scoring all relevant imaging features. Changes in category based on the reader-provided features and the new v2018 criteria were assessed by a study coordinator. RESULTS: The final study cohort comprised 105 HCCs and 73 non-HCC primarily liver malignancies. LI-RADS had a high specificity for distinguishing HCC from non-HCC (89% and 90% for reader 1 and reader 2, respectively), and IRR was moderate to substantial for final LI-RADS category and most features. Revision of the LI-RADS v2018 diagnostic algorithm resulted in very few changes (5 [2.8%] and 3 [1.7%] for reader 1 and reader 2, respectively) in overall lesion classification. CONCLUSION: LI-RADS diagnostic categories and features had moderate to substantial IRR and high specificity for distinguishing HCC from non-HCC primary liver malignancy. Revision of LI-RADS v2018 diagnostic algorithm resulted in reclassification of very few lesions. |
| Databáze: | OpenAIRE |
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