Differential Diagnosis of Focal Nodular Hyperplasia With Quantitative Parametric Analysis in Contrast-Enhanced Sonography

Abstract

Quantitative parametric curve analysis of the different hypervascularized lesions confirms the depiction of the central artery in FNH and thus could help in differentiating this specific focal liver lesion from the others.

Behavior of Hepatocellular Adenoma on Real-time Low-Mechanical Index Contrast-Enhanced Ultrasonography With a Second-Generation Contrast Agent

“…18 The introduction of secondgeneration contrast media such as SonoVue, which optimally leads to a low-MI examination, allowed real-time continuous ultrasonography in nonlinear imaging modes. [13][14][15] In addition, more recently, Huang-Wei et al 19 reported their experience with the use of a quantitative method such as Qontrast (Bracco SpA) for objective evaluation of the behavior of different hepatic lesions on CEUS. They concluded that the use of quantitative parametric curve analysis seemed to reinforce the reliability of CEUS for differentiating FNH from other hypervascularized lesions.…”

Quantitative analysis of contrast-enhanced ultrasonography: differentiating focal nodular hyperplasia from hepatocellular carcinoma

“…The current low-mechanical-index techniques for CEUS are capable of real-time demonstration of continuous haemodynamic changes in both the liver and hepatocellular nodules, from which timeintensity curves can be obtained by means of analytic software and then a series of semi-quantitative perfusion measurements extracted and analysed [9][10][11]. This method has shown a possible benefit in diagnosing FNH by enabling analysis of the quantitative parametric curves of the five types of hypervascular liver lesions [9].…”

“…This method has shown a possible benefit in diagnosing FNH by enabling analysis of the quantitative parametric curves of the five types of hypervascular liver lesions [9]. In the present study, CEUS was applied to evaluate enhancing patterns of FNH and HCC; quantitative features of CEUS in the two groups were generated with the analytic software Sonoliver® (TomTec Imaging Systems, Germany) and compared to explore their potential in the differential diagnosis.…”

Evaluation of the Accuracy of Liver Lesion DCEUS Quantification With Respiratory Gating

“…4b). In plane motion was imposed by varying the center of the rectangle according to (2). Multiplicative noise was applied to the DCEUS side of the simulation in order to compare errors caused by respiratory motion to those produced by noise.…”

“…These include the diagnosis of liver lesions [2], the assessment of microvascular damage after a myocardial infarction [3] and the detection of coronary disease [4]. Microbubbles are a pure blood pool contrast agent, because their size is of the same order as red blood cells and thus cannot leave the vascular bed and escape in the interstitium [5], [6].…”