953 resultados para non-invasive monitoring


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O câncer do colo do útero constitui a terceira neoplasia maligna mais comum na população feminina, com aproximadamente 520 mil novos casos e 260 mil óbitos por ano e origina-se a partir da infecção genital persistente pelo Papiloma Vírus Humano (HPV) oncogênico. Os principais HPVs considerados de alto risco oncogênico são os tipos HPV-16 e 18, responsáveis por cerca de 70% de todos os casos de cânceres cervicais (CC) no mundo. Pacientes com CC apresentam taxa de recidiva variando de 8% a 49%. Dentro de dois anos de seguimento, 62% a 89% das recidivas são detectadas. Atualmente, os testes usados para detecção de recidiva são a citopatologia da cúpula vaginal e exames de imagem, porém ainda não estão disponíveis testes específicos. O DNA livre-circulante (cf-DNA) representa um biomarcador não-invasivo facilmente obtido no plasma e soro. Vários estudos mostram ser possível detectar e quantificar ácidos nucléicos no plasma de pacientes com câncer e que as alterações no cfDNA potencialmente refletem mudanças que ocorrem durante a tumorigênese. Essa ferramenta diagnóstica não-invasiva pode ser útil no rastreio, prognóstico e monitoramento da resposta ao tratamento do câncer. Portanto, o desenvolvimento e a padronização de testes laboratoriais não invasivos capazes de identificar marcadores tumorais e diagnosticar precocemente a recidiva da doença aumentam a chance de cura através da utilização dos tratamentos preconizados. Sendo assim, este estudo tem o objetivo de detectar o DNA de HPV no plasma de pacientes com CC para avaliar sua potencial utilidade como marcador precoce de recidiva. Um fragmento de tumor e sangue de pacientes com CC, atendidas no ICESP e HC de Barretos, foram coletados antes do tratamento. Entraram no estudo 137 pacientes nas quais o tumor foi positivo para HPV-16 ou 18, sendo 120 amostras positivas para HPV-16 (87,6%), 12 positivas para HPV-18 (8,8%) e cinco positivas para HPV-16 e 18 (3,6%). A média de idade das pacientes deste estudo foi de 52,5 anos. Plasma de 131 pacientes com CC da data do diagnóstico e de 110 pacientes do seguimento foram submetidas ao PCR em Tempo Real HPV tipo específico. A presença do DNA de HPV no plasma pré-tratamento foi observada em 58,8% (77/131) com carga viral variando de 204 cópias/mL a 2.500.000 cópias/mL. A positividade de DNA no plasma pré-tratamento aumentou com o estadio clínico do tumor: I - 45,2%, II - 52,5%, III - 80,0% e IV - 76,9%, (p=0,0189). A presença do DNA de HPV no plasma pós-tratamento foi observada em 27,3% (30/110). A média de tempo das recidivas foi de 3,1 anos (2,7 - 3,5 anos). O DNA de HPV foi positivo até 460 dias antes do diagnóstico clínico da recidiva. As pacientes com DNA de HPV no plasma apresentaram pior prognóstico, tanto sobrevida como o tempo livre de doença, em relação às que foram negativas. Nas pacientes com CC a presença de HPV no plasma de seguimento pode ser um marcador precoce útil para o monitoramento da resposta terapêutica e detecção de pacientes com risco aumentado de recidiva e progressão da doença.

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- Réalisé au centre de recherche de l'hospital du Sacré-Coeur de Montréal. - Programme conjoint entre Université de Montréal et École Polytechnique de Montréal.

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Studies have shown that increased arterial stiffening can be an indication of cardiovascular diseases like hypertension. In clinical practice, this can be detected by measuring the blood pressure (BP) using a sphygmomanometer but it cannot be used for prolonged monitoring. It has been established that pulse wave velocity (PWV) is a direct measure of arterial stiffening but its usefulness is hampered by the absence of non-invasive techniques to estimate it. Pulse transit time (PTT) is a simple and non-invasive method derived from PWV. However, limited knowledge of PTT in children is found in the present literature. The aims of this study are to identify independent variables that confound PTT measure and describe PTT regression equations for healthy children. Therefore, PTT reference values are formulated for future pathological studies. Fifty-five Caucasian children (39 male) aged 8.4 +/- 2.3 yr (range 5-12 yr) were recruited. Predictive equations for PTT were obtained by multiple regressions with age, vascular path length, BP indexes and heart rate. These derived equations were compared in their PWV equivalent against two previously reported equations and significant agreement was obtained (p < 0.05). Findings herein also suggested that PTT can be useful as a continuous surrogate BP monitor in children.

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Pulse transit time (PTT) is a non-invasive measure, defined as time taken for the pulse pressure waves to travel from the R-wave of electrocardiogram to a selected peripheral site. Baseline PTT value is known to be influenced by physiologic variables like heart rate (HR), blood pressure (BP) and arterial compliance (AC). However, few quantitative data are available describing the factors which can influence PTT measurements in a child during breathing. The aim of this study was to investigate the effects of changes in breathing efforts on PTT baseline and fluctuations. Two different inspiratory resistive loading (IRL) devices were used to simulate loaded breathing in order to induce these effects. It is known that HR can influence the normative PTT value however the effect of HR variability (HRV) is not well-studied. Two groups of 3 healthy children ( 0.05) HR changes during all test activities. Results showed that HRV is not the sole contributor to PTT variations and suggest that changes in other physiologic parameters are also equally important. Hence, monitoring PTT measurement can be indicative of these associated changes during tidal or increased breathing efforts in healthy children.

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Urinary proteomics is emerging as a powerful non-invasive tool for diagnosis and monitoring of variety of human diseases. We tested whether signatures of urinary polypeptides can contribute to the existing biomarkers for coronary artery disease (CAD). We examined a total of 359 urine samples from 88 patients with severe CAD and 282 controls. Spot urine was analyzed using capillary electrophoresis on-line coupled to ESI-TOF-MS enabling characterization of more than 1000 polypeptides per sample. In a first step a "training set" for biomarker definition was created. Multiple biomarker patterns clearly distinguished healthy controls from CAD patients, and we extracted 15 peptides that define a characteristic CAD signature panel. In a second step, the ability of the CAD-specific panel to predict the presence of CAD was evaluated in a blinded study using a "test set." The signature panel showed sensitivity of 98% (95% confidence interval, 88.7-99.6) and 83% specificity (95% confidence interval, 51.6-97.4). Furthermore the peptide pattern significantly changed toward the healthy signature correlating with the level of physical activity after therapeutic intervention. Our results show that urinary proteomics can identify CAD patients with high confidence and might also play a role in monitoring the effects of therapeutic interventions. The workflow is amenable to clinical routine testing suggesting that non-invasive proteomics analysis can become a valuable addition to other biomarkers used in cardiovascular risk assessment.

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Loss of optic nerve head (ONH) axons in primary open angle glaucoma (POAG) has been attributed to both mechanical and vascular factors. Confocal scanning laser ophthalmoscopy (cSLO) provides a promising tool for the topographic follow-up of the ONH in glaucoma, while scanning laser Doppler flowmetry (SLDF) facilitates the rapid non-invasive assessment of retinal capillary blood flow. The purposes of these investigations were to optimise the techniques and explore their potential to classify and monitor disease. Preliminary investigations explored the reproducibility and validity of cSLO and SLDF and showed that: For cSLO: In a model eye, measurements are accurate over a range of axial lengths. For best reproducibility, seven images per visit are required, with a contour line located on Elschnig's scleral ring and transferred automatically between images. For SLDF: Three perfusion images are required for optimum reproducibility. Physiological changes induced by gas perturbation can be measured. Cross-sectional comparison of groups of normal subjects and early POAG patients showed that: cSLO parameters differentiate the early POAG group. Blood volume measured by SLDF showed group differences in superior nasal retina only. Longitudinal investigation of ONH topography, haemodynamic and visual field indices in normal subjects and POAG patients showed that: cSLO detects topographical change over time more frequently in the POAG group. Important parameters include: C:D area ratio, cup and rim area, mean depth in contour, volumes above and below reference and surface. Factor analysis identified "cup" and "rim" factors that can be used to detect change over time in individual patients. Blood flow changes were most apparent in the inferior nasal peripapillary retina of the POAG group. Perimetry is of clinical value for the identification of glaucoma but is less sensitive than cSLO for monitoring glaucomatous change.

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Purpose: The Nidek F-10 is a scanning laser ophthalmoscope that is capable of a novel fundus imaging technique, so-called ‘retro-mode’ imaging. The standard method of imaging drusen in age-related macular degeneration (AMD) is by fundus photography. The aim of the study was to assess drusen quantification using retro-mode imaging. Methods: Stereoscopic fundus photographs and retro-mode images were captured in 31 eyes of 20 patients with varying stages of AMD. Two experienced masked retinal graders independently assessed images for the number and size of drusen, using purpose-designed software. Drusen were further assessed in a subset of eight patients using optical coherence tomography (OCT) imaging. Results: Drusen observed by fundus photography (mean 33.5) were significantly fewer in number than subretinal deposits seen in retro-mode (mean 81.6; p < 0.001). The predominant deposit diameter was on average 5 µm smaller in retro-mode imaging than in fundus photography (p = 0.004). Agreement between graders for both types of imaging was substantial for number of deposits (weighted ? = 0.69) and moderate for size of deposits (weighted ? = 0.42). Retro-mode deposits corresponded to drusen on OCT imaging in all eight patients. Conclusion: The subretinal deposits detected by retro-mode imaging were consistent with the appearance of drusen on OCT imaging; however, a larger longitudinal study would be required to confirm this finding. Retro-mode imaging detected significantly more deposits than conventional colour fundus photography. Retro-mode imaging provides a rapid non-invasive technique, useful in monitoring subtle changes and progression of AMD, which may be useful in monitoring the response of drusen to future therapeutic interventions.

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Diabetic retinopathy (DR) remains the leading cause of blindness among working-age individuals in developed countries. Current treatments for DR are indicated in advanced stages of the disease and are associated with significant adverse effects. Therefore, new pharmacological treatments for the early stages of DR are needed. DR has been classically considered to be a microcirculatory disease of the retina. However, there is growing evidence to suggest that retinal neurodegeneration is an early event in the pathogenesis of DR, which participates in the microcirculatory abnormalities that occur in DR. Therefore, the study of the underlying mechanisms that lead to neurodegeneration will be essential for identifying new therapeutic targets. From the clinical point of view, the identification of those patients in whom retinal neurodegeneration appears will be crucial for implementing early treatment based on neuroprotective drugs. When the early stages of DR are the therapeutic target, it would be inconceivable to recommend an aggressive treatment such as intravitreous injections. By contrast, topical administration of neuroprotective drugs by using eye drops is a possible option. However, clinical trials to determine the safety and effectiveness of this non-invasive route, as well as a standardisation of the methods for monitoring neurodegeneration, are needed.

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X-ray computed tomography (CT) is a non-invasive medical imaging technique that generates cross-sectional images by acquiring attenuation-based projection measurements at multiple angles. Since its first introduction in the 1970s, substantial technical improvements have led to the expanding use of CT in clinical examinations. CT has become an indispensable imaging modality for the diagnosis of a wide array of diseases in both pediatric and adult populations [1, 2]. Currently, approximately 272 million CT examinations are performed annually worldwide, with nearly 85 million of these in the United States alone [3]. Although this trend has decelerated in recent years, CT usage is still expected to increase mainly due to advanced technologies such as multi-energy [4], photon counting [5], and cone-beam CT [6].

Despite the significant clinical benefits, concerns have been raised regarding the population-based radiation dose associated with CT examinations [7]. From 1980 to 2006, the effective dose from medical diagnostic procedures rose six-fold, with CT contributing to almost half of the total dose from medical exposure [8]. For each patient, the risk associated with a single CT examination is likely to be minimal. However, the relatively large population-based radiation level has led to enormous efforts among the community to manage and optimize the CT dose.

As promoted by the international campaigns Image Gently and Image Wisely, exposure to CT radiation should be appropriate and safe [9, 10]. It is thus a responsibility to optimize the amount of radiation dose for CT examinations. The key for dose optimization is to determine the minimum amount of radiation dose that achieves the targeted image quality [11]. Based on such principle, dose optimization would significantly benefit from effective metrics to characterize radiation dose and image quality for a CT exam. Moreover, if accurate predictions of the radiation dose and image quality were possible before the initiation of the exam, it would be feasible to personalize it by adjusting the scanning parameters to achieve a desired level of image quality. The purpose of this thesis is to design and validate models to quantify patient-specific radiation dose prospectively and task-based image quality. The dual aim of the study is to implement the theoretical models into clinical practice by developing an organ-based dose monitoring system and an image-based noise addition software for protocol optimization.

More specifically, Chapter 3 aims to develop an organ dose-prediction method for CT examinations of the body under constant tube current condition. The study effectively modeled the anatomical diversity and complexity using a large number of patient models with representative age, size, and gender distribution. The dependence of organ dose coefficients on patient size and scanner models was further evaluated. Distinct from prior work, these studies use the largest number of patient models to date with representative age, weight percentile, and body mass index (BMI) range.

With effective quantification of organ dose under constant tube current condition, Chapter 4 aims to extend the organ dose prediction system to tube current modulated (TCM) CT examinations. The prediction, applied to chest and abdominopelvic exams, was achieved by combining a convolution-based estimation technique that quantifies the radiation field, a TCM scheme that emulates modulation profiles from major CT vendors, and a library of computational phantoms with representative sizes, ages, and genders. The prospective quantification model is validated by comparing the predicted organ dose with the dose estimated based on Monte Carlo simulations with TCM function explicitly modeled.

Chapter 5 aims to implement the organ dose-estimation framework in clinical practice to develop an organ dose-monitoring program based on a commercial software (Dose Watch, GE Healthcare, Waukesha, WI). In the first phase of the study we focused on body CT examinations, and so the patient’s major body landmark information was extracted from the patient scout image in order to match clinical patients against a computational phantom in the library. The organ dose coefficients were estimated based on CT protocol and patient size as reported in Chapter 3. The exam CTDIvol, DLP, and TCM profiles were extracted and used to quantify the radiation field using the convolution technique proposed in Chapter 4.

With effective methods to predict and monitor organ dose, Chapters 6 aims to develop and validate improved measurement techniques for image quality assessment. Chapter 6 outlines the method that was developed to assess and predict quantum noise in clinical body CT images. Compared with previous phantom-based studies, this study accurately assessed the quantum noise in clinical images and further validated the correspondence between phantom-based measurements and the expected clinical image quality as a function of patient size and scanner attributes.

Chapter 7 aims to develop a practical strategy to generate hybrid CT images and assess the impact of dose reduction on diagnostic confidence for the diagnosis of acute pancreatitis. The general strategy is (1) to simulate synthetic CT images at multiple reduced-dose levels from clinical datasets using an image-based noise addition technique; (2) to develop quantitative and observer-based methods to validate the realism of simulated low-dose images; (3) to perform multi-reader observer studies on the low-dose image series to assess the impact of dose reduction on the diagnostic confidence for multiple diagnostic tasks; and (4) to determine the dose operating point for clinical CT examinations based on the minimum diagnostic performance to achieve protocol optimization.

Chapter 8 concludes the thesis with a summary of accomplished work and a discussion about future research.

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[EN] Because of the extensive migrations of marine turtles through the ocean, many aspects of their biology have been unknown for a long time. However, much information has been recently gained from genetic studies and population monitoring of female turtles at their nesting sites. In contrast, still very little is known on the genetic diversity, population structure and dispersal patterns of the male breeding population, mainly because of the difficulty of capturing and monitoring them at sea. The aim of this study is to assess the genetic patterns of the male breeding population of the loggerhead turtle, Caretta caretta, using a non invasive approach and compare them to the female breeding population.

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Les procédures appliquées avant l’abattage des animaux influencent directement la qualité de la viande en modulant l’état physiologique des porcs; ainsi, l’augmentation de la température corporelle, les taux élevés de lactate sanguin et l’épuisement des réserves de glycogène entre autres, occasionnent la majorité des baisses de qualité. L’objectif de cette thèse était de valider des outils indicateurs de stress porcin pour les fermes et les abattoirs. Ceux-ci seraient appliqués à la surveillance du bien-être animal et à la prédiction de variation de qualité de la viande porcine au niveau commercial. Premierement, les résultats de la thèse ont permis de conclure qu’un des outils développés (analyseur portatif de lactate) mesure la variation du niveau de lactate sanguin associé à l’état physiologique des porcs dans la phase péri-mortem et aide à expliquer la variation de la qualité de la viande chez le porc à l’abattoir, en particulier dans les muscles du jambon. Deuxièmement, les résultats des audits du bien-être animal appliqués de la ferme à l’abattoir ont démontré que la qualité du système d’élevage à la ferme d’origine et les compétences du chauffeur de camion sont d’importants critères affectant la réponse comportementale des porcs à la manipulation avant l’abattage. Ces résultats ont également démontré que les conditions de logement à la ferme (la faible densité et l’enrichissement dans les enclos), le comportement des porcs en période pré-abattage (glissade), ainsi que les interventions du manipulateur (utilisation du bâton électrique) dans la zone d’étourdissement de l’abattoir affectent négativement la variation de la qualité de la viande. L’application des protocoles d’audits dans la filière porcine a également démontré que le respect des critères de bien-être animal fixés par un outil de vérification est primordiale et permet de contrôler les conditions de bien-être des porcs à chaque étape de la période pré-abattage, de produire une viande de qualité supérieure et de réduire les pertes. Les audits de bien-être animal sont donc un outil qui apporte des resultats très pertinents pour aider a éviter les variations de la qualité de la viande chez le porc. Troisièmement, la thermographie infrarouge s’est avéré être une technique prometteuse permettant d’évaluer la variation de température corporelle de l’animal pendant et après un stress physique, en particulier lorsque cette mesure est prise derrière les oreilles. En conclusion, les outils validés à travers cette thèse représentent des méthodologies non invasives et potentiellement complémentaires à d’autres approches d’évaluation de l’état physiologique et du bien-être animal par rapport au stress, permettant de réduire les pertes de qualité de viande (par exemple en utilisation conjointe avec le niveau de lactate sanguin et les indicateurs de stress comportemental, entre autres).

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Résumé : L'imagerie par résonance magnétique pondérée en diffusion est une modalité unique sensible aux mouvements microscopiques des molécules d'eau dans les tissus biologiques. Il est possible d'utiliser les caractéristiques de ce mouvement pour inférer la structure macroscopique des faisceaux de la matière blanche du cerveau. La technique, appelée tractographie, est devenue l'outil de choix pour étudier cette structure de façon non invasive. Par exemple, la tractographie est utilisée en planification neurochirurgicale et pour le suivi du développement de maladies neurodégénératives. Dans cette thèse, nous exposons certains des biais introduits lors de reconstructions par tractographie, et des méthodes sont proposées pour les réduire. D'abord, nous utilisons des connaissances anatomiques a priori pour orienter la reconstruction. Ainsi, nous montrons que l'information anatomique sur la nature des tissus permet d'estimer des faisceaux anatomiquement plausibles et de réduire les biais dans l'estimation de structures complexes de la matière blanche. Ensuite, nous utilisons des connaissances microstructurelles a priori dans la reconstruction, afin de permettre à la tractographie de suivre le mouvement des molécules d'eau non seulement le long des faisceaux, mais aussi dans des milieux microstructurels spécifiques. La tractographie peut ainsi distinguer différents faisceaux, réduire les erreurs de reconstruction et permettre l'étude de la microstructure le long de la matière blanche. Somme toute, nous montrons que l'utilisation de connaissances anatomiques et microstructurelles a priori, en tractographie, augmente l'exactitude des reconstructions de la matière blanche du cerveau.

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Efficient crop monitoring and pest damage assessments are key to protecting the Australian agricultural industry and ensuring its leading position internationally. An important element in pest detection is gathering reliable crop data frequently and integrating analysis tools for decision making. Unmanned aerial systems are emerging as a cost-effective solution to a number of precision agriculture challenges. An important advantage of this technology is it provides a non-invasive aerial sensor platform to accurately monitor broad acre crops. In this presentation, we will give an overview on how unmanned aerial systems and machine learning can be combined to address crop protection challenges. A recent 2015 study on insect damage in sorghum will illustrate the effectiveness of this methodology. A UAV platform equipped with a high-resolution camera was deployed to autonomously perform a flight pattern over the target area. We describe the image processing pipeline implemented to create a georeferenced orthoimage and visualize the spatial distribution of the damage. An image analysis tool has been developed to minimize human input requirements. The computer program is based on a machine learning algorithm that automatically creates a meaningful partition of the image into clusters. Results show the algorithm delivers decision boundaries that accurately classify the field into crop health levels. The methodology presented in this paper represents a venue for further research towards automated crop protection assessments in the cotton industry, with applications in detecting, quantifying and monitoring the presence of mealybugs, mites and aphid pests.

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Since identification that mutations in NOTCH3 are responsible for cerebral autosomal dominant arteriopathy with subcortical infarcts and leucoencephalopathy (CADASIL) in the early 1990s, there has been extensive characterisation of the clinical and radiological features of the disease. However therapeutic interventions remain elusive, partly due to a limited understanding of the vascular pathophysiology and how it leads to the development of strokes, cognitive decline and disability. The apparent rarity and heterogenous natural history of CADASIL potentially make conducting any longitudinal or therapeutic trials difficult. The role of disease biomarkers is therefore of some interest. This thesis focuses on vascular function in CADASIL and how it may relate to clinical and radiological markers of disease. Establishing the prevalence of CADASIL in the West of Scotland was important to assess the impact of the disease, and how feasible a trial would be. A mutation prevalence of 10.7 per 100,000 was demonstrated, suggesting significant under diagnosis of the disease across much of Scotland. Cerebral hypoperfusion is thought to be important in CADASIL, and it has been shown that vascular abnormalities precede the development of brain pathology in mouse models. Investigation of vascular function in patients, both in the brain and systemically, requires less invasive measures. Arterial spin labelling magnetic resonance imaging (MRI) and transcranial Doppler ultrasound (TCD) can both be used to obtain non-invasive and quantifiable indices of vascular function. Monitoring patients with MRI whilst they receive different concentrations of inspired oxygen and carbon dioxide can provide information on brain function, and I reviewed the practicalities of this technique in order to guide the design of the studies in this thesis. 22 CADASIL patients were recruited to a longitudinal study. Testing included peripheral vascular assessment, assessment of disability, neurological dysfunction, mood and cognition. A CO2 reactivity challenge during both TCD and arterial spin labelling MRI, and detailed MRI sequences were obtained. I was able to demonstrate that vasoreactivity was associated with the number of lacunes and brain atrophy, as were carotid intima-media thickness, vessel stiffness, and age. Patients with greater disability, higher depressive symptoms and poorer processing speed showed a tendency to worse cerebral vasoreactivity but numbers were small. This observation suggests vasoreactivity may have potential as a therapeutic target, or a biomarker. I then wished to establish if arterial spin labelling MRI was useful for assessing change in cerebral blood flow in CADASIL patients. Cortical grey matter showed the highest blood flow, mean (SD), 55 (10) ml/100g/min and blood flow was significantly lower within hyperintensities (19 (4) ml/100g/min; p <0.001). Over one year, blood flow in both grey matter (mean -7 (10) %; p = 0.028) and deep white matter (-8 (13) %; p = 0.036) declined significantly. Cerebrovascular reactivity did not change over one year. I then investigated whether baseline vascular markers were able to predict change in radiological or neuropsychological measures of disease. Changes in brain volume, lacunes, microbleeds and normalised subcortical hyperintensity volume (increase of 0.8%) were shown over one year. Baseline vascular parameters were not able to predict these changes, or those in neuropsychological testing. NOTCH3 is found throughout the body and a systemic vasculopathy has been seen particularly affecting resistance vessels. Gluteal biopsies were obtained from 20 CADASIL patients, and ex vivo myography investigated the response to vasoactive agents. Evidence of impairment in both vasodilation and vasoconstriction was shown. The addition of antioxidants improved endothelium-dependent relaxation, indicating a role for oxidative stress in CADASIL pathology. Myography measures were not related to in vivo measures in the sub-group of patients who had taken part in both studies. The small vessels affected in CADASIL are unable to be imaged by conventional MR imaging so I aimed to establish which vessels might be responsible for lacunes with use of a microangiographic template overlaid onto brain images registered to a standard brain template. This showed most lacunes are small and associated with tertiary arterioles. On the basis of this thesis, it is concluded that vascular dysfunction plays an important role in the pathophysiology of CADASIL, and further assessment of vascular measures in longitudinal studies is needed. Arterial spin labelling MRI should be used as it is a reliable, non-invasive modality that can measure change over one year. Furthermore conventional cardiovascular risk factor prevention should be undertaken in CADASIL patients to delay the deleterious effects of the disease.

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Hintergrund: Helicobacter pylori (H. pylori) zählt trotz abnehmender Inzidenz zu den häufigsten bakteriellen Infektionskrankheiten des Menschen. Die Infektion mit H. pylori ist ein Risikofaktor für Krankheiten wie gastroduodenale Geschwüre, Magenkarzinomen und MALT (Mucosa Associated Lymphoid Tissue)-Lymphomen. Zur Diagnostik von H. pylori stehen verschiedene invasive und nichtinvasive Verfahren zur Verfügung. Der 13C-Harnstoff-Atemtest wird zur Kontrolle einer Eradikationstherapie empfohlen, kommt in der Primärdiagnostik von H. pylori derzeit jedoch nicht standardmäßig in Deutschland zum Einsatz. Fragestellung: Welchen medizinischen und gesundheitsökonomischen Nutzen hat die Untersuchung auf H. pylori-Besiedlung mittels 13C-Harnstoff-Atemtest in der Primärdiagnostik im Vergleich zu invasiven und nichtinvasiven diagnostischen Verfahren? Methodik: Basierend auf einer systematischen Literaturrecherche in Verbindung mit einer Handsuche werden Studien zur Testgüte und Kosten-Effektivität des 13C-Harnstoff-Atemtests im Vergleich zu anderen diagnostischen Verfahren zum primären Nachweis von H. pylori identifiziert. Es werden nur medizinische Studien eingeschlossen, die den 13C-Harnstoff-Atemtest direkt mit anderen H. pylori-Testverfahren vergleichen. Goldstandard ist eines oder eine Kombination der biopsiebasierten Testverfahren. Für die gesundheitsökonomische Beurteilung werden nur vollständige gesundheitsökonomische Evaluationsstudien einbezogen, bei denen die Kosten-Effektivität des 13C Harnstoff-Atemtests direkt mit anderen H. pylori-Testverfahren verglichen wird. Ergebnisse: Es werden 30 medizinische Studien für den vorliegenden Bericht eingeschlossen. Im Vergleich zum Immunglobulin G (IgG)-Test ist die Sensitivität des 13C-Harnstoff-Atemtests zwölfmal höher, sechsmal niedriger und einmal gleich, und die Spezifität 13-mal höher, dreimal niedriger und zweimal gleich. Im Vergleich zum Stuhl-Antigen-Test ist die Sensitivität des 13C-Harnstoff-Atemtests neunmal höher, dreimal niedriger und einmal gleich, und die Spezifität neunmal höher, zweimal niedriger und zweimal gleich. Im Vergleich zum Urease-Schnelltest sind die Sensitivität des 13C-Harnstoff-Atemtests viermal höher, dreimal niedriger und viermal gleich und die Spezifität fünfmal höher, fünfmal niedriger und einmal gleich. Im Vergleich mit der Histologie ist die Sensitivität des 13C-Harnstoff-Atemtests einmal höher und zweimal niedriger und die Spezifität zweimal höher und einmal niedriger. In je einem Vergleich zeigt sich kein Unterschied zwischen 13C-Harnstoff-Atemtest und 14C-Harnstoff-Atemtest, sowie eine niedrigere Sensitivität und höhere Spezifität im Vergleich zur Polymerase-Kettenreaktion (PCR). Inwieweit die beschriebenen Unterschiede statistisch signifikant sind, wird in sechs der 30 Studien angegeben. Es werden neun gesundheitsökonomische Evaluationen in dem vorliegenden Bericht berücksichtigt. Die Test-and-Treat-Strategie mittels 13C-Harnstoff-Atemtest wird in sechs Studien mit einem Test-and-Treat-Verfahren auf Basis der Serologie sowie in drei Studien mit einem Test-and-Treat-Verfahren auf Basis des Stuhl-Antigen-Tests verglichen. Dabei ist das Atemtestverfahren dreimal kosteneffektiv gegenüber der serologischen Methode und wird von der Stuhl-Antigen-Test-Strategie einmal dominiert. Vier Studien beinhalten einen Vergleich der Test-and -Treat-Strategie auf Basis des 13C-Harnstoff-Atemtests mit einer empirischen antisekretorischen Therapie, wobei sich das Atemtesverfahren zweimal als kosteneffektive Prozedur erweist und zwei Studien einen Vergleich mit einer empirischen Eradikationstherapie. In fünf Studien wird das Test-and-Treat-Verfahren mittels 13C-Harnstoff-Atemtest einer endoskopiebasierten Strategie gegenübergestellt. Zweimal dominiert die Atemteststrategie die endoskopische Prozedur und einmal wird sie von dieser Strategie dominiert. Diskussion:Sowohl die medizinischen als auch die ökonomischen Studien weisen mehr oder minder gravierende Mängel auf und liefern heterogene Ergebnisse. So werden in der Mehrzahl der medizinischen Studien keine Angaben zur statistischen Signifikanz der berichteten Unterschiede zwischen den jeweiligen Testverfahren gemacht. Im direkten Vergleich weist der 13C-Harnstoff-Atemtest überwiegend eine höhere Testgüte als der IgG und der Stuhl-Antigen-Test auf. Aus den Vergleichen mit dem Urease-Schnelltest lassen sich keine Tendenzen bezüglich der Sensitivität ableiten, wohingegen die Spezifität des 13C-Harnstoff-Atemtests höher einzuschätzen ist. Für die Vergleiche des 13C-Harnstoff-Atemtest mit der Histologie, dem 14C-Harnstoff-Atemtest und der PCR liegen zu wenige Ergebnisse vor. In der eingeschlossenen ökonomischen Literatur deuten einige Studienergebnisse auf eine Kosten-Effektivität der Test-and-Treat-Strategie mittels 13C-Harnstoff-Atemtest gegenüber dem Test-and-Treat-Verfahren auf Basis der Serologie und der empirischen antiskretorischen Therapie hin. Um Tendenzen bezüglich der Kosten-Effektivität der Atemteststrategie gegenüber der Test-and-Treat-Strategie mittels Stuhl-Antigen-Test sowie der empirischen Eradikationstherapie abzuleiten, mangelt es an validen Ergebnissen bzw. ökonomischer Evidenz. Die Untersuchungsresultate hinsichtlich eines Vergleichs mit endoskopiebasierten Verfahren fallen diesbezüglich zu heterogen aus. Insgesamt kann keines der ökonomischen Modelle der Komplexität des Managements von Patienten mit dyspeptischen Beschwerden gänzlich gerecht werden. Schlussfolgerungen/Empfehlungen: Zusammenfassend ist festzuhalten, dass die Studienlage zur medizinischen und ökonomischen Beurteilung des 13C-Harnstoff-Atemtests im Vergleich zu anderen diagnostischen Methoden nicht ausreichend ist, um den Atemtest als primärdiagnostisches Standardverfahren im Rahmen einer Test-and-Treat-Strategie beim Management von Patienten mit dyspeptischen Beschwerden für die deutsche Versorgungslandschaft insbesondere vor dem Hintergrund der Leitlinien der Deutschen Gesellschaft für Verdauungs- und Stoffwechselkrankheiten (DGVS) anstelle einer endoskopiebasierten Methode zu empfehlen.