972 resultados para CG-DCE


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Indiscriminate and inappropriate use of pesticides in agriculture has been pointed out for increasing health problems and environmental damage. Considering that water resources are the principal destiny of those compounds after application, the present study presents optimization and validation of two simple and effi cient analytical methods for pesticides quantifi cation in both surface and groundwater. Were selected the pesticides more commonly used at Dourados (MS - Brazil), region with intense agricultural activity. Pesticides were preconcentrated by solid-phase extraction using C18 (500 mg) cartridges and then divided in two groups for elution and quantifi cation: 2.4-D and 2.4-DCP were eluted with methanol and quantifi ed by high performance liquid chromatography with ultra-violet detector (HPLC-UV) while atrazine, DIA, DEA, trifl uralin and methyl parathion were eluted with ethylacetate (1:1, v/v) and quantifi ed by gas chromatography with thermionic specifi c detector (GC-TSD). The methods showed satisfactory accuracy (76-107%) and precision (<12%) for the substances analyzed at the fortifi ed levels selected for the study, except for DIA (<51%). Study of pesticide stability also presented good results: C18 cartridges could be stored for at least for 21 days at -20ºC with no signs of the compounds degradability. Both methods limits of quantifi cation of the pesticides (0.22 - 0.48 μg L-1) are in accordance to the levels currently established by the Brazilian national legislation for pesticides in water. Although only the pesticide 2.4-D has been detected in two distinct collection points in the study period of time, this work warns for the requirement of systematical analysis of pesticides presence in water destined to human consume, principally in areas of intense agriculture activity. Such monitoring can provide subsidies for public environmental policies.

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The diagnosis, grading and classification of tumours has benefited considerably from the development of DCE-MRI which is now essential to the adequate clinical management of many tumour types due to its capability in detecting active angiogenesis. Several strategies have been proposed for DCE-MRI evaluation. Visual inspection of contrast agent concentration curves vs time is a very simple yet operator dependent procedure, therefore more objective approaches have been developed in order to facilitate comparison between studies. In so called model free approaches, descriptive or heuristic information extracted from time series raw data have been used for tissue classification. The main issue concerning these schemes is that they have not a direct interpretation in terms of physiological properties of the tissues. On the other hand, model based investigations typically involve compartmental tracer kinetic modelling and pixel-by-pixel estimation of kinetic parameters via non-linear regression applied on region of interests opportunely selected by the physician. This approach has the advantage to provide parameters directly related to the pathophysiological properties of the tissue such as vessel permeability, local regional blood flow, extraction fraction, concentration gradient between plasma and extravascular-extracellular space. Anyway, nonlinear modelling is computational demanding and the accuracy of the estimates can be affected by the signal-to-noise ratio and by the initial solutions. The principal aim of this thesis is investigate the use of semi-quantitative and quantitative parameters for segmentation and classification of breast lesion. The objectives can be subdivided as follow: describe the principal techniques to evaluate time intensity curve in DCE-MRI with focus on kinetic model proposed in literature; to evaluate the influence in parametrization choice for a classic bi-compartmental kinetic models; to evaluate the performance of a method for simultaneous tracer kinetic modelling and pixel classification; to evaluate performance of machine learning techniques training for segmentation and classification of breast lesion.

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Die akute myeloische Leukämie (AML) zählt zu den aggressivsten neoplastischen Erkrankungenrnder Hämatopoese. Die Mehrheit der Patienten mit AML erreicht nach Induktions-rnChemotherapie den Zustand der kompletten Remission, jedoch erleiden mehr als die Hälfterndieser Patienten anschließend einen Rückfall und versterben an den Folgen der Erkrankungrn[1]. Die allogene hämatopoetische Stammzelltransplantation (engl.: hematopoietic stem cellrntransplantation, HSCT) stellt die einzig putativ kurative Behandlungsform für rezidierendernPatienten und solche mit schlechter Prognose dar. Jedoch birgt diese Form der Therapiernauch eine Vielzahl an Risiken. Insbesondere das Auftreten einer akuten Transplantat-gegen-rnWirt-Erkrankung (engl.: graft-versus-host disease, GvHD) stellt die Hauptursache für transplantationsassoziierternMortalität und Morbidität dar [2]. Die Depletion von alloreaktiven zytotoxischenrnT Lymphozyten (CTL) aus dem Transplantat ermöglicht zwar die Prävention derrnEntstehung einer GvH-Erkrankung, jedoch häufig unter gleichzeitigem Verlust des förderlichen,rnanti-leukämischen Transplantat-gegen-Leukämie-Effekts (engl.: graft-versus-leukemia,rnGvL) [3]. Um den GvL-Effekt unter Vermeidung einer GvH-Erkrankung zu erhalten, bietetrnsich der gezielte adoptive Transfer von Leukämie-spezifischen, nicht alloreaktiven CTL alsrnattraktive Strategie der Immuntherapie für AML-Patienten nach allogener HSCT an. In derrnvorliegenden Arbeit konnte erfolgreich ein prä-klinisches murines AML-Modell unter Einsatzrndes stark immundefizienten NOD.Cg-Prkdcscid Il2rgtm1Wjl/SzJ- (NSG-) Mausstamms und primärenrnAML-Blasten durch die Optimierung bereits publizierter Protokolle etabliert werden.rnBei zehn von 17 transplantierten primären AML-Proben konnte ein erfolgreiches Engraftmentrnder humanen Zellen und eine Rekonstitution der humanen Neoplasie in den NSG-Mäusenrnerzielt werden. Die Engraftment-Rate betrug somit 58,82% und lag etwas unter dem aus derrnLiteratur bekannten Wert von 65-70% [4, 5]. Es ließen sich gut, intermediär und schlecht anwachsendernAML-Proben anhand der Engraftment-Stärke und -Reproduzierbarkeit voneinanderrnunterscheiden. Anhand der Analyse von für das Engraftment kritischer Parameter konnternein Zusammenhang zwischen Engraftment-Rate in der Maus und Flt3-Mutationsstatus sowiernFAB-Klassifikation des Patienten hergestellt und somit Angaben aus der Literatur bestätigtrnwerden. Für zwei Patienten-spezifische AML-Modelle, MZ580 und MZ308, konnten in vitrornerfolgreich AML-reaktive, über einzelne bzw. duale HLA-Diskrepanzen restringierte CTLPopulationenrngeneriert und über einen Zeitraum von bis zu 70 Tagen expandiert werden.rnDeren adoptiver Transfer in zuvor mit humanen AML-Blasten inokulierte NSG-Mäuse führternzu einer nahezu vollständigen Eradikation der AML-Blasten und Remission der Versuchstiere.rnAnhand unterschiedlich langer in vitro Kultur-Zeiträume konnte ein für die in vivo ausgeübtenrnEffektor-Funktionen optimaler Reifungszustand der CTL-Populationen von maximalrn28 Tagen bestimmt werden. Die kinetische Analyse der lytischen Aktivität in vivo deutete auf eine relativ schnelle Ausübung der Effektor-Funktionen durch die CTL-Populationen innerhalbrnvon zwei bis 24 Stunden nach adoptivem Transfer hin. Durch die Verwendung von inrnvitro generierten EBV-reaktiven CTL aus einem irrelevanten Spender konnte zudem die Spezifitätrnder in vivo ausgeübten Effektor-Funktionen nachgewiesen werden. Die ex vivo Re-rnIsolation adoptiv transferierter CTL und deren in vitro Analyse in einem IFNγ ELISpot wiesrneine konstante Reaktivität der Zellen ohne Induktion einer Xeno-Reaktivität nach. Die zurrnVerbesserung der Persistenz humaner CTL-Populationen eingesetzten autologen CD4+ TrnZellen zeigten nur im AML MZ308-System eine positive Wirkung. Generell konnte die Persistenzrnin vivo jedoch trotz initialer Substitution mit den Zytokinen IL-2 und IL-7 nicht über einenrnZeitraum von sieben Tagen hinaus aufrechterhalten werden.rnZur Untersuchung des Extravasations-Mechanismus humaner T Zellen über murines Endothelrnwurden sowohl Flusskammer- als auch Transwell-Studien durchgeführt, um die molekularenrnGrundlagen des Adhäsions- und Transmigrationsprozesses aufzuklären. Durch denrnparallelen Einsatz humaner und muriner T Zellen auf murinen Endothelzellen unter Zusatzrnfunktionsblockierender monoklonaler Antikörper konnte gezeigt werden, dass derrnExtravasations-Mechanismus beider Spezies auf Interaktionen homologer Adhäsionsmolekül-rnPaare, nämlich VLA-4–VCAM-1 und LFA-1–ICAM-1, beruht. Für einzelne Moleküle konntenrnin Abhängigkeit der eingesetzten Endothelzellen Unterschiede in der Funktionalität zwischenrnden Spezies identifiziert werden. Der Adhäsionsprozess war durch die Blockade derrnVLA-4–VCAM-1-Interaktion stärker inhibierbar als durch die Blockade von LFA-1–ICAM-1.rnDie Transmigration hingegen war durch die Blockade beider Adhäsionsmolekül-Paare vergleichbarrnstark inhibierbar.

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Il presente lavoro di tesi si inserisce all'interno di uno studio dal titolo: "Strategia di posizionamento multi-step come approccio pragmatico per ridurre il rischio di encefalopatia epatica post-TIPS (shunt trans-giugulare porto-sistemico intraepatico) in pazienti cirrotici con ascite refrattaria". Il progetto di tesi si è concentrato sull'analisi dei segnali ottenuti tramite DCE MRI, con lo scopo di implementare in ambiente MatLab due modelli differenti (Dual input - Mono compartment e Dual input - Dual compartment) che descrivono la cinetica del tracciante all'interno del sistema vascolare epatico e valutare l'efficacia dei parametri di perfusione associati nella descrizione delle variazioni in termini di microcircolazione introdotte dall'inserimento del TIPS. Inizialmente si sono voluti valutare, tramite simulazione, gli effetti in termini di amplificazione del rumore e stima dei parametri perfusionali dell'approssimazione lineare nella conversione da intensità di segnale MR a concentrazione di mezzo di contrasto. Successivamente, sempre attraverso simulazioni, per entrambi i modelli considerati è stato scelto uno schema di model-fitting e quindi testata l'affidabilità in termini di accuratezza e precisione delle stime dei parametri ottenute in funzione del livello di rumore associato alle curve di intensità di segnale. Parallelamente all'implementazione dei modelli per la stima di parametri di perfusione, sono stati realizzati dei phantom con l'obiettivo di simulare il parenchima epatico prima e dopo l'arrivo del mezzo di contrasto e poter testare la sequenza utilizzata durante l'acquisizione dei dati su paziente. Infine sono stati considerati gli esami di DCE MRI effettuati su un campione di nove pazienti pre e post-TIPS, utilizzando per l'analisi dei segnali entrambi i modelli implementati in fase di simulazione e successivamente valutando le variazioni nel valori associati ai parametri di perfusione introdotte dall'inserimento del TIPS.

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DCE-MRI is an important technique in the study of small animal cancer models because its sensitivity to vascular changes opens the possibility of quantitative assessment of early therapeutic response. However, extraction of physiologically descriptive parameters from DCE-MRI data relies upon measurement of the vascular input function (VIF), which represents the contrast agent concentration time course in the blood plasma. This is difficult in small animal models due to artifacts associated with partial volume, inflow enhancement, and the limited temporal resolution achievable with MR imaging. In this work, the development of a suite of techniques for high temporal resolution, artifact resistant measurement of the VIF in mice is described. One obstacle in VIF measurement is inflow enhancement, which decreases the sensitivity of the MR signal to the presence of contrast agent. Because the traditional techniques used to suppress inflow enhancement degrade the achievable spatiotemporal resolution of the pulse sequence, improvements can be achieved by reducing the time required for the suppression. Thus, a novel RF pulse which provides spatial presaturation contemporaneously with the RF excitation was implemented and evaluated. This maximizes the achievable temporal resolution by removing the additional RF and gradient pulses typically required for suppression of inflow enhancement. A second challenge is achieving the temporal resolution required for accurate characterization of the VIF, which exceeds what can be achieved with conventional imaging techniques while maintaining adequate spatial resolution and tumor coverage. Thus, an anatomically constrained reconstruction strategy was developed that allows for sampling of the VIF at extremely high acceleration factors, permitting capture of the initial pass of the contrast agent in mice. Simulation, phantom, and in vivo validation of all components were performed. Finally, the two components were used to perform VIF measurement in the murine heart. An in vivo study of the VIF reproducibility was performed, and an improvement in the measured injection-to-injection variation was observed. This will lead to improvements in the reliability of quantitative DCE-MRI measurements and increase their sensitivity.

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Background DCE@urLAB is a software application for analysis of dynamic contrast-enhanced magnetic resonance imaging data (DCE-MRI). The tool incorporates a friendly graphical user interface (GUI) to interactively select and analyze a region of interest (ROI) within the image set, taking into account the tissue concentration of the contrast agent (CA) and its effect on pixel intensity. Results Pixel-wise model-based quantitative parameters are estimated by fitting DCE-MRI data to several pharmacokinetic models using the Levenberg-Marquardt algorithm (LMA). DCE@urLAB also includes the semi-quantitative parametric and heuristic analysis approaches commonly used in practice. This software application has been programmed in the Interactive Data Language (IDL) and tested both with publicly available simulated data and preclinical studies from tumor-bearing mouse brains. Conclusions A user-friendly solution for applying pharmacokinetic and non-quantitative analysis DCE-MRI in preclinical studies has been implemented and tested. The proposed tool has been specially designed for easy selection of multi-pixel ROIs. A public release of DCE@urLAB, together with the open source code and sample datasets, is available at http://www.die.upm.es/im/archives/DCEurLAB/ webcite.

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El objetivo del trabajo consiste en reutilizar el Treebank de dependencias EPECDEP (BDT) para construir el gold standard de la sintaxis superficial del euskera. El paso básico consiste en el estudio comparativo de los dos formalismos aplicados sobre el mismo corpus: el formalismo de la Gramática de Restricciones (Constraint Grammar, CG) y la Gramática de Dependencias (Dependency Grammar, DP). Como resultado de dicho estudio hemos establecido los criterios lingüísticos necesarios para derivar la funciones sintácticas en estilo CG. Dichos criterios han sido implementados y evaluados, así en el 75% de los casos se derivan automáticamente las funciones sintácticas para construir el gold standard.