Contrast-enhanced ultrasound algorithm (ACR CEUS LI-RADSv 2017)– a valuable tool for the noninvasive diagnosis of hepatocellular carcinoma in patients with chronic liver disease
In: Medical Ultrasonography, Jg. 23 (2021-11-25), S. 383-383
Online
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Zugriff:
Aims: to evaluate the accuracy of LR-5 category from the latest Contrast-Enhanced Ultrasound algorithm (ACR CEUS LI-RADSv 2017) for the noninvasive diagnosis of hepatocellular carcinoma (HCC), in a real-life cohort of high-risk patients. Material and methods: We retrospectively re-analysed the CEUS studies of 464 focal liver lesions (FLL) in 382 patients at high-risk for HCC (liver cirrhosis of any aetiology, chronic B or C hepatitis with severe fibrosis) using the ACR CEUS LI-RADSv 2017 algorithm. CEUS LI-RADS categories used for the diagnosis of HCC were: CEUS LR-5 (definitely HCC) and CEUS LR-TIV (HCC with macrovascular invasion). Contrast-enhanced CT, contrast-enhanced MRI, or histology were used as diagnostic reference methods to evaluate the CEUS LI-RADS classification of the 464 lesions. Results: According to the reference method, the 464 lesions were classified as follows: 359 HCCs, 68 non-HCC-non-malignant lesions and 37 non- HCC malignant lesions. The diagnostic accuracy of LR-5 category for the diagnosis of hepatocellular carcinoma was 76.9%. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were 71.9%, 94.3 %, 97.7% and 49.5%, respectively. Conclusions: LR-5 category from ACR CEUS LI-RADSv 2017 algorithm, has good sensitivity, excellent specificity, and PPV for the diagnosis of HCC . The HCC rate increases from LR-3 to LR-5.
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Contrast-enhanced ultrasound algorithm (ACR CEUS LI-RADSv 2017)– a valuable tool for the noninvasive diagnosis of hepatocellular carcinoma in patients with chronic liver disease
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Autor/in / Beteiligte Person: | Moga, Tudor ; Ana Maria Ghiuchici ; Topan, Mădălina ; Sporea, Ioan ; Șirli, Roxana ; Popescu, Alina ; Danila, Mirela ; Bende, Felix |
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Zeitschrift: | Medical Ultrasonography, Jg. 23 (2021-11-25), S. 383-383 |
Veröffentlichung: | SRUMB - Romanian Society for Ultrasonography in Medicine and Biology, 2021 |
Medientyp: | unknown |
ISSN: | 2066-8643 (print) ; 1844-4172 (print) |
DOI: | 10.11152/mu-2887 |
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