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Abstract: Sunitinib (Sutent®) is a multitargeted, small molecule receptor tyrosine kinase inhibitor used as an anti-cancer drug. It has increased the overall survival rate of metastatic renal cell carcinoma patients as well as the survival time of patients with pancreatic neuroendocrine tumors. Although the clinical use of sunitinib is a significant leap forward in the therapy of those cancers, its induction of cardiac toxicity in a substantial fraction of patients remains a critical problem. Sunitinib may cause hypertension, arrhythmias, drop of the left ventricular ejection fraction and congestive heart failure, fatal in some cases. These side effects are a frequent reason for interruption of its use. The mechanism(s) underlying sunitinib cardiotoxicity are not fully understood. Similar to other receptor tyrosine kinase inhibitors, it binds to a large number of cellular kinases, thus it can affect multiple cellular processes. In vivo, the pattern of toxicity is complex and unpredictable, with symptomatic heart failure sometimes observed early during treatment. The pattern of events preceding the onset of symptomatic cardiac dysfunction during treatment is not established. This represents a significant problem for the clinical diagnosis of cardiovascular complications before they become symptomatic. The identification and early detection of those events would be highly-beneficial for the clinical management of anti-cancer therapy with sunitinib. Positron Emission Tomography (PET) is recognized for its ability to probe metabolic and functional aspects of myocardial function. Under the working concept that heart failure can occur early during sunitinib treatment, and may be sustained by early myocardial metabolic and structural alterations, we performed a study with the objective of assessing the use of PET for the early detection of sunitinib-induced ardiotoxicity. For this, we established a model of cardiotoxicity in C57BL/6 male mice given 80mg/Kg/day of sunitinib or water, orally for 4 weeks. General and cardiac toxicity were monitored by biochemical, microscopical (H&E, immunofluorescence and electron microscopy) as well as gene expression analyses and blood pressure measurements. PET scans were performed weekly using [superscript 11]C-acetate and [superscript 18]F-FDG to evaluated the myocardial blood flow (MBF), myocardial oxidative metabolism through the quantification of oxygen consumption (MVO[subscript 2]), glucose uptake (K[subscript i]), myocardial metabolic rate of glucose (MMRG) and the left ventricular ejection fractions (LVEF). We found that sunitibib was cardiotoxic as revealed by histopathology, immunostaining and electron microscopy. Signs of inflammation and tissue remodeling were found by gene expression analyses and collagen staining. No hypertension or renal damage were detected on the study. FDG-PET revealed an early decrease of the LVEF, indicative of cardiac dysfunction, which developed into grade-2 heart failure by the end of the study. However, no signs of alterations in cardiac metabolism were uncovered by FDG- or [superscript 11]C-acetate-PET. Our results hint that the onset of sunitinib-induced contractile dysfunction may occur in the absence of hypertension or overt metabolic damage and call for further studies with longer treatments to clearly mark the onset of metabolic cardiotoxicity. // Résumé: Le sunitinib est un inhibiteur de tyrosine kinase qui est utilisée comme agent anticancéreux. Bien que l'utilisation clinique du sunitinib représente une percée significative pour le traitement de certains cancers, ce médicament s’avère cardiotoxique chez plusieurs patients, une situation qui est problématique. Le sunitinib peut provoquer une hypertension, des arythmies, une chute de la fraction d'éjection ventriculaire gauche et une insuffisance cardiaque congestive qui peut être fatale. Le mécanisme responsable de la cardiotoxicité de sunitinib n’est pas encore bien compris. Comme plusieurs autres inhibiteurs des récepteurs de la tyrosine kinase, il se lie à un grand nombre de kinases et peut affecter de nombreux processus cellulaires. In vivo, les mécanismes responsables de la toxicité sont complexes et imprévisibles et une insuffisance cardiaque est parfois observée tôt pendant le traitement. La séquence des évènements menant à l'apparition d’une dysfonction cardiaque pendant le traitement n’est pas connue. Cela pose un problème important pour le diagnostic de complications cardiovasculaires avant qu'elles ne deviennent symptomatiques. Une identification précoce de ces événements néfastes serait très bénéfique pour le suivi du traitement au sunitinib. La tomographie d'émission par positrons (TEP) est une méthode reconnue pour l’évaluation du métabolisme et de la fonctionnalité du myocarde. Selon notre hypothèse de travail, une insuffisance cardiaque peut survenir rapidement pendant le traitement au sunitinib, elle est l’expression d’altérations structurelles et métaboliques au niveau du myocarde; ces modifications se produisent tôt pendant le traitement. Nous avons effectué une étude pour évaluer la faisabilité d’utiliser l’imagerie TEP pour la détection précoce de la cardiotoxicité induite par le sunitinib. La première étape a été de développer un modèle de cardiotoxicité chez des souris. L’induction de la cardiotoxicité s’est faite par administration orale pour une période de quatre semaines, soit de sunitinib 80mg/Kg/jour ou d'eau pour les souris contrôles. Le suivi inclut la mesure de la pression sanguine, l’évaluation des altérations biochimiques, l’expression de certains gènes et un examen histologique du myocarde. Un suivi par imagerie TEP a été effectué chaque semaine avec du [indice supérieur 11]C-acétate et du [indice supérieur 18]F-FDG afin d'évaluer le flux sanguin myocardique (MBF), le métabolisme oxydatif du myocarde incluant la consommation d'oxygène (MVO2), l'absorption du glucose (K[indice inférieur i]), le taux métabolique oxydatif du glucose (MMRG) ainsi que la fraction d'éjection ventriculaire gauche (FEVG). Les résultats que nous avons obtenus par histopathologie, immunocoloration et microscopie électronique montrent que notre modèle est capable d’induire une cardiotoxicité. Nous avons également observé des évidences d'inflammation et de remodelage tissulaire à partir de l’étude de l'expression de certains gènes et de l’analyse de l’accumulation de collagène. Nous n’avons pas observé d’hypertension ni de lésions rénales. La TEP avec [indice supérieur 18]FDG a montré une diminution rapide de la FEVG, une indication d’une dysfonction cardiaque qui a été classée comme insuffisance cardiaque de grade 2 à la fin de l'étude. Cependant, aucun signe de modifications du métabolisme cardiaque n’a été mis en évidence par TEP/[indice supérieur 18]FDG- ou TEP/[indice supérieur 11]C-acétate. Nos résultats laissent penser que l'apparition de la dysfonction contractile induite par sunitinib peut se produire en l'absence d'hypertension ou de dommages métaboliques manifestes. De nouvelles études avec des traitements plus longs permettraient peut être de mieux définir le début de la cardiotoxicité métabolique.

There is always a need and drive to improve modern cancer care. Dynamic positron emission tomography (PET) offers the advantage of in vivo functional imaging, combined with the ability to follow the physiological processes over time. In addition, by applying tracer kinetic modeling to the dynamic PET data, thus estimating pharmacokinetic parameters associated to e.g. glucose metabolism, cell proliferation etc., more information about the tissue's underlying biology and physiology can be determined. This supplementary information can potentially be a considerable aid when it comes to the segmentation, diagnosis, staging, treatment planning, early treatment response monitoring and follow-up of cancerous tumors. We have found it feasible to use kinetic parameters for semi-automatic tumor segmentation, and found parametric images to have higher contrast compared to static PET uptake images. There are however many possible sources of errors and uncertainties in kinetic parameters obtained through compartment modeling of dynamic PET data. The variation in the number of detected photons caused by the random nature of radioactive decay, is of course always a major source. Other sources may include: the choice of an appropriate model that is suitable for the radiotracer in question, camera detectors and electronics, image acquisition protocol, image reconstruction algorithm with corrections (attenuation, random and scattered coincidences, detector uniformity, decay) and so on. We have found the early frame sampling scheme in dynamic PET to affect the bias and uncertainty in calculated kinetic parameters, and that scatter corrections are necessary for most but not all parameter estimates. Furthermore, analytical image reconstruction algorithms seem more suited for compartment modeling applications compared to iterative algorithms. This thesis and included papers show potential applications and tools for quantitative pharmacokinetic parameters in oncology, and help understand errors and uncertainties associated with them. The aim is to contribute to the long-term goal of enabling the use of dynamic PET and pharmacokinetic parameters for improvements of today's cancer care. / Det finns alltid ett behov och en strävan att förbättra dagens cancervård. Dynamisk positronemissionstomografi (PET) medför fördelen av in vivo funktionell avbilning, kombinerad med möjligheten att följa fysiologiska processer över tiden. Genom att därtill tillämpa kinetisk modellering på det dynamiska PET-datat, och därigenom skatta farmakokinetiska parametrar associerade till glukosmetabolism, cellproliferation etc., kan ytterligare information om vävnadens underliggande biologi och fysiologi bestämmas. Denna kompletterande information kan potentiellt vara till stor nytta för segmentering, diagnos, stadieindelning, behandlingsplanering, monitorering av tidig behandlingsrespons samt uppföljning av cancertumörer. Vi fann det möjligt att använda kinetiska parametrar för semi-automatisk tumörsegmentering, och fann även att parametriska bilder hade högre kontrast jämfört med upptagsbilder från statisk PET. Det finns dock många möjliga källor till osäkerheter och fel i kinetiska parametrar som beräknats genom compartment-modellering av dynamisk PET. En av de största källorna är det radioaktiva sönderfallets slumpmässiga natur som orsakar variationer i antalet detekterade fotoner. Andra källor inkluderar valet av compartment-modell som är lämplig för den aktuella radiotracern, PET-kamerans detektorer och elektronik, bildtagningsprotokoll, bildrekonstruktionsalgoritm med tillhörande korrektioner (attenuering, slumpmässig och spridd strålning, detektorernas likformighet, sönderfall) och så vidare. Vi fann att tidssamplingsschemat för tidiga bilder i dynamisk PET påverkar både fel och osäkerhet i beräknade kinetiska parametrar, och att bildkorrektioner för spridd strålning är nödvändigt för de flesta men inte alla parametrar. Utöver detta verkar analytiska bildrekonstruktionsalgoritmer vara bättre lämpade för tillämpningar som innefattar compartment-modellering i jämförelse med iterativa algoritmer. Denna avhandling med inkluderade artiklar visar möjliga tillämpningar och verktyg för kvantitativa kinetiska parametrar inom onkologiområdet. Den bidrar också till förståelsen av fel och osäkerheter associerade till dem. Syftet är att bidra till det långsiktiga målet att möjliggöra användandet av dynamisk PET och farmakokinetiska parametrar för att förbättra dagens cancervård.

Positron emission tomography (PET) is a non-invasive imaging technique which utilizes positron-emitting radiopharmaceuticals (PERs) to characterize biological processes in tissues of interest. A PET scanner is usually composed of multiple scintillation crystal detectors placed in a ring so as to capture coincident photons from a position annihilation. These detectors require a crystal lookup table (CLUT) to map the detector response to the crystal of interaction. These CLUTs must be accurate, lest events get mapped to the wrong crystal of interaction degrading the final image quality. This work describes an automated algorithm, for CLUT generation, focused around Gaussian Mixture Models (GMM) with Thin Plate Splines (TPS). The algorithm was tested with flood image data collected from 16 detectors. The method maintained at least 99.8% accuracy across all tests. This method is considerably faster than manual techniques and can be adapted to different detector configurations. / February 2016

<p>Patients suffering from different forms of neurodegenerative diseases, such as: Creutzfeldt Jacob Disease (CJD), Alzheimer disease (AD), mild cognitive impairment (MCI), frontotemporal dementia and Parkinson’s disease (PD) were examined with Positron Emission Tomography (PET) and the combination of different radiotracers: ¹⁵O-water, N-[¹¹C-methyl]-L-deuterodeprenyl (DED), [¹⁸F] 2-fluorodeoxyglucose: (FDG), N-methyl-[¹¹C]2-(4-methylaminophenyl)-6-hydroxybenzothiazole (PIB) and L-[¹¹C]-3,4-dihydroxiphenyl-alanine (DOPA). The radiotracers and the combinations of different radiotracers were selected with the intention to detect, in the brain, patterns of neuronal dysfunction, astrocytosis, axon degeneration or protein aggregation (amyloid), in the brain which are pathognomonic for specific diseases and may contribute to improve clinical differential diagnoses. Examinations in healthy volunteers were performed to allow comparisons with patients. In addition, animal studies were conducted to complement the information. In some cases, the PET findings could be compared with the results of autopsies.</p><p>In contrast to the micropathology, in which only a limited part of a tissue (obtained post-mortem or by biopsy) is inspected, one PET acquisition provides an image of the whole system (e.g.: the brain and the cerebellum). This form of imaging pathology is “<i>in vivo</i>”, where the examination is innocuous for the patient. </p><p>This thesis is an attempt to stimulate the development of new tracers, new tracer combinations and methods that directly or indirectly describe the anatomo-physiopathological changes produced in the brain in neurodegenerative diseases. A better description of different diseases can be obtained, confirming or questioning the clinical diagnoses and widening our understanding of the mechanisms underlying neurodegeneration. Different pathologies can produce similar symptoms and thus causing confusion regarding clinical diagnosis. The used PET combinations improved the accuracy of the diagnoses. The incipient knowledge emerging from a new neuroimaging pathology in combination with other disciplines may open the way to new classifications of dementias and neurodegenerative diseases based on an “<i>in vivo</i>” pathology. </p>

This dissertation investigates the application of list-mode data to detection, estimation, and image reconstruction problems, with an emphasis on emission tomography in medical imaging. We begin by introducing a theoretical framework for list-mode data and we use it to define two observers that operate on list-mode data. These observers are applied to the problem of detecting a signal~(known in shape and location) buried in a random lumpy background. We then consider maximum-likelihood methods for the estimation of numerical parameters from list-mode data, and we characterize the performance of these estimators via the so-called Fisher information matrix. Reconstruction from PET list-mode data is then considered. In a process we called "double maximum-likelihood" reconstruction, we consider a simple PET imaging system and we use maximum-likelihood methods to first estimate a parameter vector for each pair of gamma-ray photons that is detected by the hardware. The collection of these parameter vectors forms a list, which is then fed to another maximum-likelihood algorithm for volumetric reconstruction over a grid of voxels. Efficient parallel implementation of the algorithms discussed above is then presented. In this work, we take advantage of two low-cost, mass-produced computing platforms that have recently appeared on the market, and we provide some details on implementing our algorithms on these devices. We conclude this dissertation work by elaborating on a possible application of list-mode data to X-ray digital mammography. We argue that today's CMOS detectors and computing platforms have become fast enough to make X-ray digital mammography list-mode data acquisition and processing feasible.

Diagnosis of diabetes mellitus, presence of hyperglycemia, and/or insulin resistance confer cardiovascular risk, particularly for diastolic dysfunction. Diabetes is associated with elevated myocardial norepinephrine (NE) content, enhanced sympathetic nervous system (SNS) activity, altered resting heart rate, and depressed heart rate variability. Positron emission tomography (PET) using the NE analogue [11C]meta-hydroxyephedrine ([11C]HED) provides an index of myocardial sympathetic neuronal integrity at the NE reuptake transporter (NET). The hypothesis of this project is that (i) hyperglycemia imparts heightened sympathetic tone and NE release, leading to abnormal sympathetic neuronal function in the hearts of diabetic rats, and (ii) these abnormalities may be reversed or prevented by treatments to normalize glycemia. Sprague Dawley rats were rendered insulin resistant by high fat feeding and diabetic by a single dose of streptozotocin (STZ). Diabetic rats were treated for 8 weeks with insulin, metformin or rosiglitazone, starting from either 1 week (prevention) or 8 weeks (reversal) after STZ administration. Sympathetic neuronal integrity was evaluated longitudinally by [11C]HED PET. Echocardiography measures of systolic and diastolic function were completed at serial timepoints. Plasma NE levels were evaluated serially and expression of NET and β-adrenoceptors were tested at the terminal endpoints. Diabetic rats exhibited a 52-57% reduction of [11C]HED standardized uptake value (SUV) at 8 weeks after STZ, with a parallel 2.5-fold elevation of plasma NE and a 17-20% reduction in cardiac NET expression. These findings were confirmed by ex vivo biodistribution studies. Transmitral pulse wave Doppler echocardiography established an extension of mitral valve deceleration time and elevated early to atrial velocity ratio, suggesting diastolic dysfunction. Subsequent treatment with insulin but not metformin restored glycemia, reduced plasma NE by 50%, normalized NET expression, and recovered [11C]HED SUV towards non-diabetic age-matched control. Diastolic dysfunction in these rats persisted. By contrast, early treatment with insulin, metformin, or rosiglitazone delayed the progression of diastolic dysfunction, but had no effect on elevated NE and reduced [11C]HED SUV in diabetic rats, potentially owing to a latent decrease in blood glucose. In conclusion, diabetes is associated with heightened circulating and tissue NE levels which can be effectively reversed by lowering glycemia with insulin. Noninvasive interrogation of sympathetic neuronal integrity using [11C]HED PET may have added value in the stratification of cardiovascular risk among diabetic patients and in determining the myocardial effects of glycemic therapy.

Section 1 of this thesis contains an introduction to method development in organic synthesis, multicomponent reactions, sulfonyl azides, tracer development in 11C chemistry and the biological target. Section 2 describes the use of sulfonyl azides in carbonylative chemistry. Paper I covers development of a diazotransfer protocol. In total, 30 arylsulfonyl azides were synthesised from primary sulfonamides (20–90% yield). 15N mechanistic studies were carried out and in Paper II, the products were converted into sulfonamides, sulfonylureas and sulfonyl carbamates (19–90% yield). For ureas and carbamates, a two-chamber protocol was employed to release CO from Mo(CO)6. 15N mechanistic studies showed that the sulfonamides were formed by direct displacement of azide. Section 3 covers imaging and biological studies of the angiotensin II receptor subtype 2 (AT2R). In Paper III, 12 11C-sulfonyl carbamates were prepared in isolated radiochemical yields of 3–51% via Rh(I)-mediated carbonylation. The first non-peptide AT2R agonist, C21, was labelled (isolated RCY 24±10%, SA 34–51 GBq/µmol). C21 was tested in a prostate cancer assay, followed by biodistribution and small-animal PET studies. In Paper IV, a 11C-labelled AT2R ligand prepared via Pd(0)-mediated aminocarbonylation was used for autoradiography, biodistribution and small-animal PET studies.   Section 4 describes the development of a multicomponent method for the synthesis of 3,4-dihydroquinazolinones (Paper V). 31 3,4-dihydroquinazolinones were synthesized via a cyclic iminium ion.

Conventional charged-particle imaging techniques--such as autoradiography--provide only two-dimensional (2D) images of thin tissue slices. To get volumetric information, images of multiple thin slices are stacked. This process is time consuming and prone to distortions, as registration of 2D images is required. We propose a direct three-dimensional (3D) autoradiography technique, which we call charged-particle emission tomography (CPET). This 3D imaging technique enables imaging of thick sections, thus increasing laboratory throughput and eliminating distortions due to registration. In CPET, molecules or cells of interest are labeled so that they emit charged particles without significant alteration of their biological function. Therefore, by imaging the source of the charged particles, one can gain information about the distribution of the molecules or cells of interest. Two special case of CPET include beta emission tomography (BET) and alpha emission tomography (𝛼ET), where the charged particles employed are fast electrons and alpha particles, respectively. A crucial component of CPET is the charged-particle detector. Conventional charged-particle detectors are sensitive only to the 2-D positions of the detected particles. We propose a new detector concept, which we call particle-processing detector (PPD). A PPD measures attributes of each detected particle, including location, direction of propagation, and/or the energy deposited in the detector. Reconstruction algorithms for CPET are developed, and reconstruction results from simulated data are presented for both BET and 𝛼ET. The results show that, in addition to position, direction and energy provide valuable information for 3D reconstruction of CPET. Several designs of particle-processing detectors are described. Experimental results for one detector are discussed. With appropriate detector design and careful data analysis, it is possible to measure direction and energy, as well as position of each detected particle. The null functions of CPET with PPDs that measure different combinations of attributes are calculated through singular-value decomposition. In general, the more particle attributes are measured from each detection event, the smaller the null space of CPET is. In other words, the higher dimension the data space is, the more information about an object can be recovered from CPET.

The aim of this work was studying of the coordination properties of TACN macrocyclic derivatives with aminophosphinate pendant arms. Two ligands were prepared, one with two pendant arms NODPam and one with three pendant arms NOTPam. Because of degradation of ligand NODPam during its synthesis, only the ligand NOTPam was studied further. Acid-base properties of ligand and termodynamic stability of aluminium and gallium complexes were studied. Formation and disociation studies were performed with the complexes. Coordination of fluoride ions to aluminium complex was studied using ion selective fluoride electrode. Finally coordination of complex AlFx with ligand NOTPam was studied using 19F and 27Al NMR spectroscopy. Selected experiments were made also with ligand NOTA. Key words: macrocyclic complexes, positron emission tomography, phosphinic acids