Studio della funzione cardiaca e della massa ventricolare sinistra mediante ecocardiografia convenzionale e tissue doppler imaging in una popolazione pediatrica con malattia renale cronica in terapia conservativa e sostitutiva

Background: Cardiovascular disease (CVD) is a common cause of morbidity and mortality in childhood chronic kidney disease (CKD). Left ventricular hypertrophy (LVH) is known to be one of the earliest events in CVD development. Left ventricular diastolic function (DF) is thought to be also impaired in children with CKD. Tissue Doppler imaging (TDI) provide an accurate measure of DF and is less load dependent than conventional ECHO. Aim: To evaluate the LV mass and the DF in a population of children with CKD. Methods: 37 patients, median age: 10.4 (3.3-19.8); underlying renal disease: hypo/dysplasia (N=28), nephronophthisis (N=4), Alport (N=2), ARPKD (N=3), were analyzed. Thirty-eight percent of the patients were on stage 1-2 of CKD, 38% on stage 3, 16% on stage 4. Three patients were on dialysis. The most frequent factors related to CVD in CKD have been studied. LVH has been defined as a left ventricular mass index (LVMI) more than 35.7 g/h2,7. Results: Twenty-five patients (81%) had a LVH. LVMI and diastolic function index (E’/A’) were significantly related to the glomerular filtration rate (p<0.003 and p<0.004). Moreover the LVMI was correlated with the phosphorus and the hemoglobin level (p<0.0001 and p<0.004). LVH was present since the first stages of CKD (58% of patients were on stages 1-2). Early-diastolic myocardial velocity was reduced in 73% of our patients. We didn’t find any correlation between LVH and systemic hypertension. Conclusion: ECHO evaluation with TDI is suggested also in children prior to dialysis and with a normal blood pressure. If LVH is diagnosed, a periodic follow-up is necessary with the treatment of the modifiable risk factors (hypertension, disturbances of calcium, phosphorus and PTH, anemia ).

Aspetti Ultrasonografici in Corso di Sviluppo Placentare e Adattamento Cardiovascolare nella Cavalla Gravida: ecografia bidimensionale, ecocardiografia ed ecocontrastografia (CEUS)

In corso di gravidanza normale avvengono modificazioni emodinamiche centrali e periferiche volte a garantire le crescenti richieste nutritive dell'unità feto-placentare. L’ecografia con mezzo di contrasto (CEUS-Contrast Enhanced Ultrasonography) a base di microbolle offre una nuova opportunità di monitorare e quantificare la perfusione utero-placentare in condizioni normali e patologiche. L’ecocardiografia è stata ampiamente usata in medicina umana per valutare l’adattamento morfo-funzionale cardiaco materno durante la gravidanza. Gli scopi di questo lavoro prospettico sono stati di applicare, per la prima volta nella specie equina, un mezzo di contrasto di II generazione (Sonovue®), al fine quantificare la perfusione utero-placentare in corso di gravidanza normale, valutandone gli effetti sul benessere materno-fetale e di descrivere le modificazioni nei parametri ecocardiografici morfometrici e funzionali cardiaci, in particolare relativi alla funzione del ventricolo sinistro nel corso di una gravidanza fisiologica. Due fattrici sane di razza Trottatore sono state monitorate ecograficamente in maniera seriale durante l’intero corso della gravidanza, tramite esame bidimensionale, ecocontrastografia dell'unità utero-placentare, flussimetria Doppler delle arterie uterine, ecocardiografia materna in modalità bidimensionale, M-mode, Doppler e Tissue Doppler Imaging. I neonati sono stati clinicamente monitorati e gli invogli fetali esaminati. Il pattern di microperfusione utero-placentare è valutabile quali-quantitativamente tramite la CEUS e dimostra un’aumento del flusso a livello di microvascolarizzazione uterina con l'avanzare della gravidanza; non è stata rilevata la presenza di microbolle a livello di strutture fetali nè effetti dannosi sul benessere materno-fetale. In questo studio sono state osservate delle modificazioni cardiache materne in corso di gravidanza fisiologica, relative all'aumento della FC, del CO ed in particolare all'aumento delle dimensioni dell'atrio sinistro ed a modificazioni nelle onde di velocità di flusso e tissutali di riempimento del ventricolo sinistro.

Efficient ultrasonic signal processing techniques for aided medical diagnostics

Ultrasound imaging is widely used in medical diagnostics as it is the fastest, least invasive, and least expensive imaging modality. However, ultrasound images are intrinsically difficult to be interpreted. In this scenario, Computer Aided Detection (CAD) systems can be used to support physicians during diagnosis providing them a second opinion. This thesis discusses efficient ultrasound processing techniques for computer aided medical diagnostics, focusing on two major topics: (i) Ultrasound Tissue Characterization (UTC), aimed at characterizing and differentiating between healthy and diseased tissue; (ii) Ultrasound Image Segmentation (UIS), aimed at detecting the boundaries of anatomical structures to automatically measure organ dimensions and compute clinically relevant functional indices. Research on UTC produced a CAD tool for Prostate Cancer detection to improve the biopsy protocol. In particular, this thesis contributes with: (i) the development of a robust classification system; (ii) the exploitation of parallel computing on GPU for real-time performance; (iii) the introduction of both an innovative Semi-Supervised Learning algorithm and a novel supervised/semi-supervised learning scheme for CAD system training that improve system performance reducing data collection effort and avoiding collected data wasting. The tool provides physicians a risk map highlighting suspect tissue areas, allowing them to perform a lesion-directed biopsy. Clinical validation demonstrated the system validity as a diagnostic support tool and its effectiveness at reducing the number of biopsy cores requested for an accurate diagnosis. For UIS the research developed a heart disease diagnostic tool based on Real-Time 3D Echocardiography. Thesis contributions to this application are: (i) the development of an automated GPU based level-set segmentation framework for 3D images; (ii) the application of this framework to the myocardium segmentation. Experimental results showed the high efficiency and flexibility of the proposed framework. Its effectiveness as a tool for quantitative analysis of 3D cardiac morphology and function was demonstrated through clinical validation.