Studio di marcatori immunoistochimici, analisi FISH e ruolo dei microRNA nelle neoplasie gliali di basso e di alto grado

Gliomas are the most common primary brain tumours. Despite advances in surgical techniques, postoperative supportive care, radiation and adjuvant systemic therapy, the life expectancy of patients with high grade glioma has remained essentially poor. Furthermore differential diagnosis among astrocytomas, oligodendrogliomas and oligoastrocytomas is very challenging and subject to inter-observer variability. The purpose of the research was: 1) to investigate a series of high grade and low grade gliomas at gene and protein (immunohistochemistry) levels to disclose possible genetic portraits of malignancy; 2) to verify the utility of Nogo-A, Olig-2 and synaptophysin in providing a correct histological diagnosis of oligodendroglioma and to investigate a possible complementary role in selecting the best areas suitable for detecting 1p/19q codeletion using FISH analysis; 3) to study the role of microRNA in high grade gliomas. In order to obtain these goals large series of brain tumors were studied with DNA microarrays, immunohistochemistry and RT-PCR The results demonstrated that: - Overexpression of IGFBP-2 and CDC20 is highly related to glioblastomas and their immunopositivity can be useful for the identification of glioblastoma in small biopsies. - Nogo-A is the most useful and specific marker in differentiating oigodendrogliomas from other gliomas. Furthermore, using a Nogo-A driven FISH analysis, it is possible to identify a larger number of 1p19q codeletions in gliomas. - microRNAs can be studied in paraffin embedded tissues better than in fresh tissues. A series of six microRNA, significatively deregulated in glioblastomas, may represent a genetic signature with prognostic and predictive value and could constitute candidates for novel anti-cancer therapeutics.

Statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration

In this thesis two major topics inherent with medical ultrasound images are addressed: deconvolution and segmentation. In the first case a deconvolution algorithm is described allowing statistically consistent maximum a posteriori estimates of the tissue reflectivity to be restored. These estimates are proven to provide a reliable source of information for achieving an accurate characterization of biological tissues through the ultrasound echo. The second topic involves the definition of a semi automatic algorithm for myocardium segmentation in 2D echocardiographic images. The results show that the proposed method can reduce inter- and intra observer variability in myocardial contours delineation and is feasible and accurate even on clinical data.

Symbolic Dynamics Analysis: a new methodology for foetal heart rate variability analysis

Cardiotocography (CTG) is a widespread foetal diagnostic methods. However, it lacks of objectivity and reproducibility since its dependence on observer's expertise. To overcome these limitations, more objective methods for CTG interpretation have been proposed. In particular, many developed techniques aim to assess the foetal heart rate variability (FHRV). Among them, some methodologies from nonlinear systems theory have been applied to the study of FHRV. All the techniques have proved to be helpful in specific cases. Nevertheless, none of them is more reliable than the others. Therefore, an in-depth study is necessary. The aim of this work is to deepen the FHRV analysis through the Symbolic Dynamics Analysis (SDA), a nonlinear technique already successfully employed for HRV analysis. Thanks to its simplicity of interpretation, it could be a useful tool for clinicians. We performed a literature study involving about 200 references on HRV and FHRV analysis; approximately 100 works were focused on non-linear techniques. Then, in order to compare linear and non-linear methods, we carried out a multiparametric study. 580 antepartum recordings of healthy fetuses were examined. Signals were processed using an updated software for CTG analysis and a new developed software for generating simulated CTG traces. Finally, statistical tests and regression analyses were carried out for estimating relationships among extracted indexes and other clinical information. Results confirm that none of the employed techniques is more reliable than the others. Moreover, in agreement with the literature, each analysis should take into account two relevant parameters, the foetal status and the week of gestation. Regarding the SDA, results show its promising capabilities in FHRV analysis. It allows recognizing foetal status, gestation week and global variability of FHR signals, even better than other methods. Nevertheless, further studies, which should involve even pathological cases, are necessary to establish its reliability.