F-061 * A COMPARATIVE STUDY AMONG MINIATURIZED ULTRASOUND PROBES FOR PULMONARY NODULES DETECTION IN AN EX VIVO LUNG PERFUSION MODEL

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Malignancies in primary biliary cirrhosis.

(Table is included in full-text article.)PBC in the advanced stage, corresponding to PBC stage IV, was shown in the past to be associated with an increased incidence of hepatocellular carcinoma (HCC). There is currently a debate, about the increase in incidence of extrahepatic malignancies, as some, but not all studies reported these neoplasms to be more common, especially breast cancer, irrespective of the PBC disease stage. In this issue of the journal a case series is reported on the incidence of various malignancies in a cohort of 212 patients with PBC from Greece. Considering as reference the cancer registries of another Mediterranean Country, like Italy, we could suggest that the incidence of extrahepatic malignancy, breast included, is not increased in PBC patients. Indeed, a more accurate analysis of the literature, shows that higher incidence of breast cancer were reported only for PBC patients evaluated in the 1970s and early 1980s, for whom a contribution of immunosuppressive agents, largely under investigation at that time, could be speculated. PBC patients do not need, therefore, to be submitted to stricter surveillance programs for extrahepatic cancer than the general population. As far as the development of HCC is concerned, instead, PBC patients should undergo the usual surveillance reserved to other categories of cirrhotic patients, according to published guidelines for the management of HCC. Such surveillance should start only when PBC patients have reached disease stage IV (frank cirrhosis)

Diagnostic flow chart of liver nodules in cirrhosis and characterization of portal vein thrombosis.

Detection and characterization of HCC. Performance of CEUS in HCC. Detection and characterization of Portal Vein Thrombosis

Imaging of Liver Tumors in Patients with Chronic Liver Disease

Imaging techniques have become the accepted mainstay for the assessment of liver lesions in cirrhosis and, thanks to the improvement of their diagnostic capabilities in recent years, have further limited the need to resort to bioptic sampling. Hepatocellular carcinoma (HCC) is the most common cause of de-novo liver nodules in cirrhosis, and its diagnosis relies on noninvasive contrast-enhanced imaging studies. Diagnostic criteria have been extensively validated, and the vascular pattern deemed typical for HCC is an arterial hyperenhancement of the nodule followed by washout in the portal or late phase. This pattern provides a positive predictive value for the diagnosis of HCC of about 97 % in nodules in cirrhosis according to the literature. However, the need for a more precise differentiation from other malignancies arising in cirrhosis, making up the remaining about 3 %, and specifically intrahepatic cholangiocarcinoma, has over time led to changes in the recommendations for the noninvasive diagnosis of HCC in cirrhosis. The present review aims to report recently published interesting studies that have brought new insights into the problem of the characterization and differential diagnosis of liver tumors in chronic liver diseases

Characterization of focal liver lesions with contrast-enhanced ultrasound.

The introduction of second generation microbubble ultrasound (US) contrast agents, such as SonoVue (Bracco, Milan, Italy), has considerably improved the diagnostic yield of US imaging for the evaluation of focal hepatic lesions in recent years because of its ability to very sensitively depict tumoral vascularity. In addition, contrast-enhanced US (CEUS) has the advantage of the absence of ionizing radiation, the widespread availability, even at the bedside, and the possibility to characterize a lesion as soon as detected on conventional B-mode US, commonly used as the first technique for exploration of the liver. The present review focuses on the basic principles of the technique and the various patterns of benign and malignant hepatic lesions at CEUS, contributing to their characterization. Understanding of these enhancement features at CEUS according to the type of tumors enables to make more accurate characterization of focal liver lesions as well as give better advice to oncologists, hepatologists or other clinicians in case of suspected liver tumor

Widen NomoGram for multinomial logistic regression: an application to staging liver fibrosis in chronic hepatitis C patients.

The interpretation of regression models results can often benefit from the generation of nomograms, 'user friendly' graphical devices especially useful for assisting the decision-making processes. However, in the case of multinomial regression models, whenever categorical responses with more than two classes are involved, nomograms cannot be drawn in the conventional way. Such a difficulty in managing and interpreting the outcome could often result in a limitation of the use of multinomial regression in decision-making support. In the present paper, we illustrate the derivation of a non-conventional nomogram for multinomial regression models, intended to overcome this issue. Although it may appear less straightforward at first sight, the proposed methodology allows an easy interpretation of the results of multinomial regression models and makes them more accessible for clinicians and general practitioners too. Development of prediction model based on multinomial logistic regression and of the pertinent graphical tool is illustrated by means of an example involving the prediction of the extent of liver fibrosis in hepatitis C patients by routinely available markers

Widen NomoGram for multinomial logistic regression : an application to staging liver fibrosis in chronic hepatitis C patients

The interpretation of regression models results can often benefit from the generation of nomograms, 'user friendly' graphical devices especially useful for assisting the decision-making processes. However, in the case of multinomial regression models, whenever categorical responses with more than two classes are involved, nomograms cannot be drawn in the conventional way. Such a difficulty in managing and interpreting the outcome could often result in a limitation of the use of multinomial regression in decision-making support. In the present paper, we illustrate the derivation of a non-conventional nomogram for multinomial regression models, intended to overcome this issue. Although it may appear less straightforward at first sight, the proposed methodology allows an easy interpretation of the results of multinomial regression models and makes them more accessible for clinicians and general practitioners too. Development of prediction model based on multinomial logistic regression and of the pertinent graphical tool is illustrated by means of an example involving the prediction of the extent of liver fibrosis in hepatitis C patients by routinely available markers

Quantification of enhancement of focal liver lesions during contrast-enhanced ultrasound (CEUS). Analysis of ten selected frames is more simple but as reliable as the analysis of the entire loop for most parameters.

The aim of the study was to evaluate the reliability of the analysis of only 10 frames rather than of a whole clip in performing quantitative assessment of tumor enhancement of focal liver lesions (FLLs) following ultrasound contrast injection. Contrast-enhanced ultrasonography (CEUS) examinations of 31 FLLs (median diameter: 30mm) were performed. All clips were analyzed and quantified with an early prototype of the SonoLiver software (TomTec GmbH, Munich and Bracco Research SA, Geneva), first evaluating the entire clip then selecting only 10 frames at different time intervals. Enhancement measurements obtained from the analysis of the entire clip or of only 10 frames were closely correlated (r=0.931 and p<0.0001 for Area Under the Curve; r=0.944 and p<0.0001 for Perfusion Index). In conclusion, enhancement quantification of FLLs can be reliably obtained from only 10 frames, rather than the entire clip, at least for most parameters, making such procedure easier for potential routine use

Ex vivo pulmonary nodule detection with miniaturized ultrasound convex probes.

Abstract BACKGROUND: The intraoperative localization of small and deep pulmonary nodules is often difficult during minimally invasive thoracic surgery. We compared the performance of three miniaturized ultrasound (US) convex probes, one of which is currently used for thoracic endoscopic diagnostic procedures, for the detection of lung nodules in an ex vivo lung perfusion model. METHODS: Three porcine cardiopulmonary blocks were perfused, preserved at 4\ub0C for 6 h and reconditioned. Lungs were randomly seeded with different patterns of echogenicity target nodules (9 water balls, 10 fat, and 11 muscles; total n = 30). Three micro-convex US probes were assessed in an open setting on the pleural surface: PROBE 1, endobronchial US 5-10 MHz; PROBE 2, laparoscopic 4-13 MHz; PROBE 3, fingertip micro-convex probe 5-10 MHz. US probes were evaluated regarding the number of nodules localized/not localized, the correlation between US and open specimen measurements, and imaging quality. RESULTS: For detecting target nodules, the sensitivity was 100% for PROBE 1, 86.6% for PROBE 2, and 78.1% for PROBE 3. A closer correlation between US and open specimen measurements of target diameter (r = 0.87; P = 0.0001) and intrapulmonary depth (r = 0.97; P = 0.0001) was calculated for PROBE 1 than for PROBES 2 and 3. The imaging quality was significantly higher for PROBE 1 than for PROBES 2 and 3 (P < 0.04). CONCLUSIONS: US examination with micro-convex probes to detect pulmonary nodules is feasible in an ex vivo lung perfusion model. PROBE 1 achieved the best performance. Clinical research with the endobronchial US micro-convex probe during minimally invasive thoracic surgery is advisable