Systematic Training of Liver Imaging Reporting and Data System Magnetic Resonance Imaging v2018 can Improve the Diagnosis of Hepatocellular Carcinoma for Different Radiologists

Background and AimsLiver imaging reporting and data system (LI-RADS) provides standardized lexicon and categorization for diagnosing hepatocellular carcinoma (HCC). However, there is limited knowledge about the effect of LI-RADS training. We prospectively explored whether the systematic training of LI-RADS v2018 on magnetic resonance imaging (MRI) can effectively improve the diagnostic performances of different radiologists for HCC.MethodsA total of 20 visiting radiologists and the multiparametric MRI of 70 hepatic observations in 61 patients with high risk of HCC were included in this study. The LI-RADS v2018 training procedure included three times of thematic lectures (each lasting for 2.5 h) given by a professor specialized in imaging diagnosis of liver, with an interval of a month. After each seminar, the radiologists had a month to adopt the algorithm into their daily work. The diagnostic performances and interobserver agreements of these radiologists adopting the algorithm for HCC diagnosis before and after training were compared.ResultsA total of 20 radiologists (male/female, 12/8; with an average age of 36.75±4.99 years) were enrolled. After training, the interobserver agreements for the LI-RADS category for all radiologists (p=0.005) were increased. The sensitivity, specificity, positive predictive value, negative predictive value, and coincidence rate of all radiologists for HCC diagnosis before and after training were 43% vs. 54%, 86% vs. 88%, 74% vs. 81%, 62% vs. 67%, and 65% vs. 71%, respectively. The diagnostic performances of all radiologists (p<0.001) showed improvement after training.ConclusionsThe systematic training of LI-RADS can effectively improve the diagnostic performances of radiologists with different experiences for HCC.     

Persistently Rising Alpha-fetoprotein in the Diagnosis of Hepatocellular Carcinoma: A Review

Hepatocellular carcinoma (HCC), one of the most common malignant tumors worldwide, is known for its grim prognosis, with untreated life expectancy being only a matter of months after the diagnosis. The difficulty in making a diagnosis early is one of the main contributing factors to the poor prognosis. Alpha-fetoprotein (AFP) had long been used as a surveillance tool, but suboptimal specificity and sensitivity has prompted liver societies to abandon the recommendation for its universal use, even in combination with ultrasonography. Most studies have shown no obvious correlation between serum AFP level and HCC tumor size, stage, or survival post-diagnosis. However, some studies concluded that a gradual rise or persistent elevation in AFP were positive predictors for tumor development. Other studies reported a fall in AFP followed by a rise in patients with HCC as well as persistently rising AFP levels without development of HCC on follow up. Our calculation of the sensitivity and specificity of persistently rising AFP for HCC were both low, at 60% and 35.8%, respectively, indicating that the presence of persistently rising AFP per se did not offer diagnostic benefit. In addition, our calculated mean slopes of persistently rising AFP levels in HCC and non-HCC patients were numerically very different, but the difference was not statistically significant. We conclude that the published data do not support a role for rising AFP levels per se in the diagnosis of HCC.     

Hepatocellular Carcinoma: Downstaging to Liver Transplantation as Curative Therapy

Hepatocellular carcinoma (HCC) ranks among the leading cancer-related causes of morbidity and mortality worldwide. Downstaging of HCC has prevailed as a key method to curative therapy for patients who present with unresectable HCC outside of the listing criteria for liver transplantation (LT). Even though LT paves the way to lifesaving curative therapy for HCC, perpetually severe organ shortage limits its broader application. Debate over the optimal protocol and assessment of response to downstaging treatment has fueled immense research activity and is pushing the boundaries of LT candidate selection criteria. The implicit obligation of refining downstaging protocol is to ensure the maximization of the transplant survival benefit by taking into account the waitlist life expectancy. In the following review, we critically discuss strategies to best optimize downstaging HCC to LT on the basis of existing literature.     

Hepatocellular carcinoma Liver Imaging Reporting and Data Systems treatment response assessment: Lessons learned and future directions

Hepatocellular carcinoma(HCC) is a leading cause of morbidity and mortality worldwide, with rising clinical and economic burden as incidence increases. Thereare a multitude of evolving treatment options, including locoregional therapies which can be used alone, in combination with each other, or in combination with systemic therapy. These treatment options have shown to be effective in achieving remission, controlling tumor progression, improving disease free and overall survival in patients who cannot undergo resection and providing a bridge to transplant by debulking tumor burden to downstage patients. Following locoregional therapy(LRT), it is crucial to provide treatment response assessment to guide management and liver transplant candidacy. Therefore, Liver Imaging Reporting and Data Systems(LI-RADS) Treatment Response Algorithm(TRA) was created to provide a standardized assessment of HCC following LRT. LIRADS TRA provides a step by step approach to evaluate each lesion independently for accurate tumor assessment. In this review, we provide an overview of different locoregional therapies for HCC, describe the expected post treatment imaging appearance following treatment, and review the LI-RADS TRA with guidance for its application in clinical practice. Unique to other publications, we will also review emerging literature supporting the use of LI-RADS for assessment of HCC treatment response after LRT.     

Factors Associated with Progression to Hepatocellular Carcinoma and to Death from Liver Complications in Patients with HBsAg-Positive Cirrhosis

Background and Aims Hepatitis B viral markers and liver tests were used as predictors for development of hepatocellular carcinoma and progression to end-stage liver disease in 128 cirrhosis patients with hepatitis B. Results During a median follow-up of 63.5 months, 28 patients (21.9%) developed HCC and 36 (28.1%) died from non-HCC liver deaths. By multivariate analysis, independent predictors of HCC development and their hazard ratios were high alfa-fetoprotein (HR2.83, 95% CI 1.60–5.00, P = 0.0003), negative HBeAg (HR2.33, 95% CI 1.04–5.29, P = 0.04), and low alanine aminotransferase value (HR1.42, 95% CI 1.08–1.89, P = 0.02). Independent predictors of non-HCC liver deaths were HBeAg positivity (HR3.39, 95% CI 1.16–9.93, P = 0.02), decrease albumin (HR1.61, 95% CI 0.99–2.63, P = 0.05), decrease platelet count (HR2.54, 95% CI 1.03–6.25, P = 0.04), high ALT value (HR1.22, 95% CI 1.03–1.43, P = 0.02), and onset of encephalopathy (HR3.34, 95% CI 1.21–9.27, P = 0.02). Concusions HBeAg negativity, elevated AFP, and low ALT values predicted HCC development, while HBeAg positivity, abnormal liver tests, and low platelet counts identified patients with non-HCC liver deaths.     

Magnetic Resonance Imaging of Small Hepatocellular Carcinoma

Thirty-eight patients with small hepatocellular carcinomas (HCCs), size less than 20 mm, initially detected by ultrasound (US) and histologically confirmed, were examined by magnetic resonance (MR) imaging, computed tomographic (CT) scan, and angiography. MR imaging demonstrated HCC nodules in nine (75.0%) of 12 patients with tumors less than 10 mm in diameter and in 22 (84.6%) of 26 patients with tumors 10-20 mm in diameter. In total, HCC nodules were detected in 31 of 38 patients (81.6%) by MR imaging. On the other hand, HCC lesions were found on CT scan in 14 of 26 patients (53.8%) and in 27 of 35 patients (77.1%) by angiography. With MR imaging, HCC nodules were demonstrated in 21 of 31 patients on both T1 and T2 weighted images, and 13 of 21 patients (61.9%) were shown to have low intensity areas or iso intensity areas on T1 weighted image, whereas the other eight patients (38.1%) were shown to have high intensity areas. All 21 patients were shown to have high intensity areas on T2 weighted image. Among 15 resected cases, four patients had a high intensity area on T1 weighted image, and a significant fatty change was noted in HCC nodules by histological study of the resected specimen. We suggest that MR imaging is a useful diagnostic imaging modality, even in small HCC of less than 20 mm.     

Imaging of skeletal muscle

Various diagnostic imaging techniques such as sonography, computed tomography, scintigraphy, radiography, and magnetic resonance imaging (MRI) have made possible the noninvasive evaluation of skeletal muscle injury and disease. Although these different modalities have roles to play, MRI is especially sensitive in the diagnosis of muscle disorders and injury and has proved to be useful in determining the extent of disease, in directing interventions, and in monitoring the response to therapies. This article describes how magnetic resonance images are formed and how the signal intensities in T1- and T2-weighted images may be used for diagnosis of the above-mentioned conditions and injuries.