Diagnostic imaging for hepatocellular carcinoma

Hepatocellular carcinoma (HCC) occurs mostly in individuals with cirrhosis, which is why the guidelines of the most important scientific societies indicate that these patients are included in surveillance programs through the repetition of an ultrasound examination every 6 months. The aim is to achieve early identification of the neoplasia in order to increase the possibility of curative therapies (liver transplantation, surgery or local ablative therapies) and to increase patient survival. HCC nodules arising in cirrhotic livers show characteristic angiographic behavior that can be evaluated with dynamic multidetector computed tomography and dynamic magnetic resonance imaging (MRI). However, the use of these techniques in real life is often hindered by the lack of uniform terminology in reporting and in the interpretation of the exams reflected in the impossibility of comparing examinations performed in different centers and/or at different times. Liver Imaging Reporting and Data System® was created to standardize reporting and data collection of computed tomography and MRI for HCC. In some cases HCC arises in patients with healthy livers and, although there is evidence that angiographic behavior is not different from cirrhotic patients in this clinical situation, the guidelines still indicate the execution of a biopsy. Frequent use of palliative therapeutic techniques such as transarterial chemoembolization, transarterial radioembolization or administration of antiangiogenic drugs (sorafenib) poses problems of interpretation of the therapeutic response with repercussions on the subsequent choices that have been attempted to resolve with the use of stringent criteria such as Modified Response Evaluation Criteria In Solid Tumors

Computational investigation of wall shear stress-driven in-stent restenosis

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On Productivity Measurement and Interpretation: Some Insights on Italy in the European Context. LEQS Paper No. 142/2019 March 2019

Over the period 1995–2016, the Italian performance in terms of productivity was poor in historical terms and in comparison with its main international partners. This issue goes beyond Italy, with declining productivity growth observed, from the second half of the nineties, in several other advanced economies. Possible explanations for the slowdown include factors such as lower capital investment by firms, decreased competition, excessive regulation, and capital misallocation. The diffuse slowing rates of measured productivity growth has also raised questions on whether GDP and output current compilation methods are adequate (i.e. the mis-measurement hypothesis). The “ICT revolution” has created new ways of exchanging and providing goods and services as result of increased connectivity. These developments challenge the way economic activity is traditionally measured. There are also measurement problems associated with estimating output and input volumes especially related to the quality of price indexes for some products and services. These problems have an impact on productivity estimates and might impair international comparability. In this paper, we intend to investigate what the core problems in productivity measurement and interpretation are in the European context, with a specific focus on Italy

One-dimensional infinite memory imitation models with noise

In this paper we study stochastic process indexed by $\mathbb {Z}$ constructed from certain transition kernels depending on the whole past. These kernels prescribe that, at any time, the current state is selected by looking only at a previous random instant. We characterize uniqueness in terms of simple concepts concerning families of stochastic matrices, generalizing the results previously obtained in De Santis and Piccioni (J. Stat. Phys., 150(6):1017--1029, 2013).Comment: 22 pages, 3 figure

Growth divergence and income inequality in OECD countries: the role of trade and financial openness. LEQS Paper No. 148/2018 October 2019

This paper analyses trade and financial openness effects on growth and income inequality in 35 OECD countries. Our model takes into account both short run and long run effects of factors explaining income divergence between and within the countries. We estimate, for the period 1995-2016, an error correction model in which per capita GDP and inequality are driven by changes over time of selected factors and by the deviation from a long run relationship. Stylised facts suggest that trade and financial openness reduce the growth gaps across the countries but not income inequality, and the effects of finance are stronger in high income countries. Nevertheless, low and middle income countries benefit more from international trade. Our contribution to the existing literature is threefold: i) we study the short and long run effects of trade and financial openness on income level and distribution, ii) we focus on developed countries (OECD) rather than on developing and iii) we provide a sensitivity analysis including in our baseline equation an institutional indicator, a trade agreement proxy and a dummy of global financial crisis. Estimates results indicate that trade openness significantly improved the conditions of OECD low income countries both in short and long run mostly, consistently with the catching up theory. It also decreased inequality, but only in low and middle income countries. Differently financial openness had a positive and significant impact only in the short run on middle income countries and increased income disparities within countries in the short term in low income countries and in the long term in high income countries