11 resultados para ULTRASOUND-GUIDED BIOPSY

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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Lung ultrasound use is increasing in respiratory medicine thanks to its development in the latest years. Actually it allows to study diseases of the chest wall (traumas, infections, neoplasms), diaphragm (paralysis, ipokinesis), pleura (effusions, pneumothorax, thickenings, neoplasms) and lung parenchyma (consolidations, interstitial syndromes, peripheral lesions). One of the most useful application of chest ultrasound is the evaluation of effusions. However, no standardized approach for ultrasound-guided thoracenthesis is available. Our study showed that our usual ultrasonographic landmark (“V-point”) could be a standard site to perform thoracenthesis: in 45 thoracenthesis no pneumothorax occurred, drainage was always successful at first attempt. Values of maximum thickness at V-point and drained fluid volume showed a significative correlation. Proteins concentration of ultrasound patterns of effusions (anechoic, ipoechoic, moving echoic spots, dense moving spots, hyperechoic) were compared to those of the macroscopic features of fluids showing connection between light-yellow fluid and echoic moving spots pattern and between ipoechoic/dense moving spots and cloudy-yellow/serum-haematic fluids. These observations suggest that ultrasound could predict chemical-physical features of effusions. Lung ultrasound provides useful information about many disease of the lung, but actually there is not useful in obstructive bronchial diseases. Analysing diaphragmatic kinetics using M-mode through transhepatic scan we described a similarity between diaphragm excursion during an expiratory forced maneuver and the volume/time curve of spirometry. This allowed us to identify the M-mode Index of Obstruction (MIO), an ultrasound-analogue of FEV1/VC. We observed MIO values of normal subjects (9) and obstructed patients (9) comparing the two groups. FEV1/VC and MIO showed a significant correlation suggesting that MIO may be affected by airways obstruction; MIO values were significatively different between normal and obstructed so that it could identify an obstructive syndrome. The data show that it is possible to suspect the presence of obstructive syndrome of the airways using ultrasonography of the diaphragm.

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Background: Axillary lymph node dissection (ALND) in presence of sentinel lymph node (SLN) metastases has been the standard in breast cancer (BC) patients for many years. Today, after the publication of the ACOSOG Z0011 trial, ALND is a procedure restricted to a dwindling group of patients with a clearly metastatic axilla. Material and methods: This was a prospective observational trial involving two Italian Breast Units: Policlinico di Sant’Orsola and San Raffaele hospital. Objective was to evaluate that the omission of ALND in patients with cT1-2 cN0 BC undergoing breast conserving surgery (BCS) and histological finding of metastases in 1 or 2 SLN is not associated with a worse prognostic outcome. Primary endpoint was overall survival (OS). Secondary endpoints were disease free survival (DFS) and locoregional recurrence. All BC patients treated between the 1st of November 2020 and 31st of July 2023 with cT1-2 cN0 BC, preoperative negative axillary ultrasound and 1 or 2 metastatic SLN treated with sentinel node biopsy (SLNB) alone entered the study. Results: 795 cT1-2 cN0 BC patients underwent BCS and SLNB. Ninety patients were included. Median age was 60 (52-68) years. Seventy-five patients (83%) had T1 tumor and 15 (17%) T2. Median tumor size was 16 mm (11-19). The median SLN removed was 2 (1-3). Eighty-one patients had 1 positive SLN (90%), while 9 had 2 SLN metastasis (10%). 39 (43%) micrometastases were identified and 51 macrometastasis (57%). All patients underwent radiotherapy. Seventeen (19%) performed adjuvant chemotherapy. Two received immunotherapy with trastuzumab and pertuzumab. Endocrine therapy was given to 84 (93%). At a median follow-up of 19 months (IQR 13-23) OS and DFS were 100%. No loco-regional recurrence was seen. Conclusion: The preliminary results of our study confirm that omitting ALND in patients meeting Z011 criteria is oncologically safe and should be the standard of care.

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Aim of the present study was to evaluate the accuracy of transrectal ultrasound biopsy (TRUS-biopsy) directed to regions with abnormal MRI and/or MRSI (magnetic resonance spectroscopic imaging ) for both the transition (TZ) and the peripheral (PZ) zones in patients who presented with persistent suspect for prostate cancer and with prior negative biopsy. We also evaluated relationship between MRSI results and histopathological findings of biopsy. 54 patients with the aforementioned characteristics underwent MRI/MRSI at least 6 months after prior negative biopsy; interval between MRI/3D-MRSI and the further TRUS-biopsy was less than 3 months. The prostate was divided in 12 regions both for imaging interpretation and biopsy. Moreover one to three cores more were taken from each region with abnormal MRI and/or 3D-MRSI. Twenty-two out of 54 patients presented cancer at MRI/MRSI-directed-TRUS-biopsy. On a patient basis the highest accuracy was obtained by assigning malignancy on a positive finding with MRSI and MRI even though it was not significantly greater than that obtained using MRI alone (area under the ROC curve, AUC: 0.723 vs. 0.676). On a region (n=648) basis the best accuracy was also obtained by considering positive both MRSI and MRI for PZ (0.768) and TZ (0.822). Twenty-eight per cent of cores with prostatitis were false positive findings on MRSI, whereas only 2.7% of benign prostatic hyperplasia was false positive. In conclusion the accuracy of MRI/MRSI-directed biopsies in localization of prostate cancer is good in patient and region analyses. The combination of both MRI and MRSI results makes TRUS-biopsy more accurate particularly in the TZ (0.822) for patients with prior negative biopsies. Histopathological analysis showed that the main limitation of MRSI is the percentage of false positive findings due to prostatitis.

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This thesis introduces new processing techniques for computer-aided interpretation of ultrasound images with the purpose of supporting medical diagnostic. In terms of practical application, the goal of this work is the improvement of current prostate biopsy protocols by providing physicians with a visual map overlaid over ultrasound images marking regions potentially affected by disease. As far as analysis techniques are concerned, the main contributions of this work to the state-of-the-art is the introduction of deconvolution as a pre-processing step in the standard ultrasonic tissue characterization procedure to improve the diagnostic significance of ultrasonic features. This thesis also includes some innovations in ultrasound modeling, in particular the employment of a continuous-time autoregressive moving-average (CARMA) model for ultrasound signals, a new maximum-likelihood CARMA estimator based on exponential splines and the definition of CARMA parameters as new ultrasonic features able to capture scatterers concentration. Finally, concerning the clinical usefulness of the developed techniques, the main contribution of this research is showing, through a study based on medical ground truth, that a reduction in the number of sampled cores in standard prostate biopsy is possible, preserving the same diagnostic power of the current clinical protocol.

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Aim: To evaluate the early response to treatment to an antiangiogenetic drug (sorafenib) in a heterotopic murine model of hepatocellular carcinoma (HCC) using ultrasonographic molecular imaging. Material and Methods: the xenographt model was established injecting a suspension of HuH7 cells subcutaneously in 19 nude mice. When tumors reached a mean diameter of 5-10 mm, they were divided in two groups (treatment and vehicle). The treatment group received sorafenib (62 mg/kg) by daily oral gavage for 14 days. Molecular imaging was performed using contrast enhanced ultrasound (CEUS), by injecting into the mouse venous circulation a suspension of VEGFR-2 targeted microbubbles (BR55, kind gift of Bracco Swiss, Geneve, Switzerland). Video clips were acquired for 6 minutes, then microbubbles (MBs) were destroyed by a high mechanical index (MI) impulse, and another minute was recorded to evaluate residual circulating MBs. The US protocol was repeated at day 0,+2,+4,+7, and +14 from the beginning of treatment administration. Video clips were analyzed using a dedicated software (Sonotumor, Bracco Swiss) to quantify the signal of the contrast agent. Time/intensity curves were obtained and the difference of the mean MBs signal before and after high MI impulse (Differential Targeted Enhancement-dTE) was calculated. dTE represents a numeric value in arbitrary units proportional to the amount of bound MBs. At day +14 mice were euthanized and the tumors analyzed for VEGFR-2, pERK, and CD31 tissue levels using western blot analysis. Results: dTE values decreased from day 0 to day +14 both in treatment and vehicle groups, and they were statistically higher in vehicle group than in treatment group at day +2, at day +7, and at day +14. With respect to the degree of tumor volume increase, measured as growth percentage delta (GPD), treatment group was divided in two sub-groups, non-responders (GPD>350%), and responders (GPD<200%). In the same way vehicle group was divided in slow growth group (GPD<400%), and fast growth group (GPD>900%). dTE values at day 0 (immediately before treatment start) were higher in non-responders than in responders group, with statistical difference at day 2. While dTE values were higher in the fast growth group than in the slow growth group only at day 0. A significant positive correlation was found between VEGFR-2 tissue levels and dTE values, confirming that level of BR55 tissue enhancement reflects the amount of tissue VEGF receptor. Conclusions: the present findings show that, at least in murine experimental models, CEUS with BR55 is feasable and appears to be a useful tool in the prediction of tumor growth and response to sorafenib treatment in xenograft HCC.

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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.

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La chirurgia con ultrasuoni focalizzati guidati da MRI (MR-g-FUS) è un trattamento di minima invasività, guidato dal più sofisticato strumento di imaging a disposizione, che utilizza a scopo diagnostico e terapeutico forme di energia non ionizzante. Le sue caratteristiche portano a pensare un suo possibile e promettente utilizzo in numerose aree della patologia umana, in particolare scheletrica. L'osteoma osteoide affligge frequentemente pazienti di giovane età, è una patologia benigna, con origine ed evoluzione non chiare, e trova nella termoablazione con radiofrequenza continua sotto guida CT (CT-g-RFA) il suo trattamento di elezione. Questo lavoro ha valutato l’efficacia, gli effetti e la sicurezza del trattamento dell’osteoma osteoide con MR-g-FUS. Sono stati presi in considerazione pazienti arruolati per MR-g-FUS e, come gruppo di controllo, pazienti sottoposti a CT-g-RFA, che hanno raggiunto un follow-up minimo di 18 mesi (rispettivamente 6 e 24 pazienti). Due pazienti erano stati esclusi dal trattamento MR-g-FUS per claustrofobia (2/8). Tutti i trattamenti sono stati portati a termine con successo tecnico e clinico. Non sono state registrate complicanze o eventi avversi correlati all’anestesia o alle procedure di trattamento, e tutti i pazienti sono stati dimessi regolarmente dopo 12-24 ore. La durata media dei trattamenti di MR-g-FUS è stata di 40±21 min. Da valori di score VAS pre-trattamento oscillanti tra 6 e 10 (su scala 0-10), i trattamenti hanno condotto tutti i pazienti a VAS 0 (senza integrazioni farmacologiche). Nessun paziente ha manifestato segni di persistenza di malattia o di recidiva al follow-up. Nonostante la neurolisi e la risoluzione dei sintomi, la perfusione del nidus è stata ritrovata ancora presente in oltre il 70% dei casi sottoposti a MR-g-FUS (4/6 pazienti). I risultati derivati da un'analisi estesa a pazienti più recentemente arruolati confermano questi dati. Il trattamento con MR-g-FUS sembra essere efficace e sicuro nel risolvere la sintomatologia dell'osteoma osteoide.

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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.

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The use of guided ultrasonic waves (GUW) has increased considerably in the fields of non-destructive (NDE) testing and structural health monitoring (SHM) due to their ability to perform long range inspections, to probe hidden areas as well as to provide a complete monitoring of the entire waveguide. Guided waves can be fully exploited only once their dispersive properties are known for the given waveguide. In this context, well stated analytical and numerical methods are represented by the Matrix family methods and the Semi Analytical Finite Element (SAFE) methods. However, while the former are limited to simple geometries of finite or infinite extent, the latter can model arbitrary cross-section waveguides of finite domain only. This thesis is aimed at developing three different numerical methods for modelling wave propagation in complex translational invariant systems. First, a classical SAFE formulation for viscoelastic waveguides is extended to account for a three dimensional translational invariant static prestress state. The effect of prestress, residual stress and applied loads on the dispersion properties of the guided waves is shown. Next, a two-and-a-half Boundary Element Method (2.5D BEM) for the dispersion analysis of damped guided waves in waveguides and cavities of arbitrary cross-section is proposed. The attenuation dispersive spectrum due to material damping and geometrical spreading of cavities with arbitrary shape is shown for the first time. Finally, a coupled SAFE-2.5D BEM framework is developed to study the dispersion characteristics of waves in viscoelastic waveguides of arbitrary geometry embedded in infinite solid or liquid media. Dispersion of leaky and non-leaky guided waves in terms of speed and attenuation, as well as the radiated wavefields, can be computed. The results obtained in this thesis can be helpful for the design of both actuation and sensing systems in practical application, as well as to tune experimental setup.

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Assessment of the integrity of structural components is of great importance for aerospace systems, land and marine transportation, civil infrastructures and other biological and mechanical applications. Guided waves (GWs) based inspections are an attractive mean for structural health monitoring. In this thesis, the study and development of techniques for GW ultrasound signal analysis and compression in the context of non-destructive testing of structures will be presented. In guided wave inspections, it is necessary to address the problem of the dispersion compensation. A signal processing approach based on frequency warping was adopted. Such operator maps the frequencies axis through a function derived by the group velocity of the test material and it is used to remove the dependence on the travelled distance from the acquired signals. Such processing strategy was fruitfully applied for impact location and damage localization tasks in composite and aluminum panels. It has been shown that, basing on this processing tool, low power embedded system for GW structural monitoring can be implemented. Finally, a new procedure based on Compressive Sensing has been developed and applied for data reduction. Such procedure has also a beneficial effect in enhancing the accuracy of structural defects localization. This algorithm uses the convolutive model of the propagation of ultrasonic guided waves which takes advantage of a sparse signal representation in the warped frequency domain. The recovery from the compressed samples is based on an alternating minimization procedure which achieves both an accurate reconstruction of the ultrasonic signal and a precise estimation of waves time of flight. Such information is used to feed hyperbolic or elliptic localization procedures, for accurate impact or damage localization.

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The aim of this PhD thesis " Simulation Guided Navigation in cranio- maxillo- facial surgery : a new approach to Improve intraoperative three-dimensional accuracy and reproducibility during surgery ." was at the center of its attention the various applications of a method introduced by our School in 2010 and has as its theme the increase of interest of reproducibility of surgical programs through methods that in whole or in part are using intraoperative navigation. It was introduced in Orthognathic Surgery Validation a new method for the interventions carried out according to the method Simulation Guided Navigation in facial deformities ; was then analyzed the method of three-dimensional control of the osteotomies through the use of templates and cutting of plates using the method precontoured CAD -CAM and laser sintering . It was finally proceeded to introduce the method of piezonavigated surgery in the various branches of maxillofacial surgery . These studies have been subjected to validation processes and the results are presented .