This thesis investigates the potential of using positron emission tomography (PET) to study the biosynthesis and release of serotonin (5HT) at the brain serotonergic neuron. As PET requires probe compounds with specific attributes to enable imaging and quantification of biological processes, emphasis was placed on the evaluation of these attributes. The experiments established that the 5HT transporter radioligand [11C]-3-amino-4-(2-dimethylaminomethyl-phenylsulfanyl)-benzonitrile, [11C]DASB, is suitable for imaging and quantification of transporters in rats and rhesus monkeys. In addition, the binding of [11C]DASB in brain tissue is decreased when 5HT concentrations are increased by tranylcypromine administration. The sensitivity of [11C]DASB binding, under these experimental conditions, to increased endogenous 5HT concentrations demonstrates the potential of in vivo monitoring of 5HT release in rat and monkey models. The irreversible binding of 5-hydroxy-L-[β-11C]tryptophan, [11C]HTP, in the monkey brain was lower in the presence of NSD1015, which was used to inhibit the decarboxylase step in 5HT synthesis. [11C]HTP seems thus to have potential for tracking changes in the activity of this biosynthesis enzyme. In contrast, the accumulation of [11C]HTP was unaffected by clorgyline, which was used to inhibit metabolism of the probe in the brain. This appears to indicate that elimination of the main metabolite from the brain could be negligible and thus will not alter [11C]HTP quantification. The extent and distribution of the irreversible binding of a substrate for the first enzyme in 5HT formation, α-[11C]methyl-L-tryptophan, [11C]AMT, was different from those for [11C]HTP. This suggests that the two studied probe compounds provide estimates related to the enzyme activity of different steps in the 5HT biosynthesis pathway. A reference tissue version of the Patlak method for the analysis of data obtained by PET was also developed. This approach takes into account irreversible binding in the reference region and appears, therefore, to yield more reliable parameter estimates than the conventional reference Patlak analysis. The method is recommended for parameter estimation of [11C]HTP data when no metabolite-corrected plasma curve is available. Knowledge of altered 5HT synthesis and release in disease states and the consequences for effective pharmacotherapy can improve our knowledge of the aetiology of certain psychiatric and neurological diseases and enhance our ability to design more effective drugs.

<p>The use of positron emission tomography (PET) in radiation therapy has continued to grow, especially since the development of combined computed tomography (CT) and PET imaging system in the early 1990s. Today, the biggest use of PET-CT is in oncology, where a glucose analog radiotracer is rapidly incorporated into the metabolic pathways of a variety of cancers. Images representing the in-vivo distribution of this radiotracer are used for the staging, delineation and assessment of treatment response of patients undergoing chemotherapy or radiation therapy. While PET offers the ability to provide functional information, the imaging quality of PET is adversely affected by its lower spatial resolution. It also has unfavorable image noise characteristics due to radiation dose concerns and patient compliance. These factors result in PET images having less detail and lower signal-to-noise (SNR) properties compared to images produced by CT. This complicates the use of PET within many areas of radiation oncology, but particularly the delineation of targets for radiation therapy and the assessment of patient response to therapy. The development of segmentation methods that can provide accurate object identification in PET images under a variety of imaging conditions has been a goal of the imaging community for years. The goal of this thesis are to: (1) investigate the effect of filtering on segmentation methods; (2) investigate whether combining individual segmentation methods can improve segmentation accuracy; (3) investigate whether the consensus volumes can be useful in aiding physicians of different experience in defining gross tumor volumes (GTV) for head-and-neck cancer patients; and (4) to investigate whether consensus volumes can be useful in assessing early treatment response in head-and-neck cancer patients.</p><p>For this dissertation work, standard spherical objects of volumes ranging from 1.15 cc to 37 cc and two irregularly shaped objects of volume 16 cc and 32 cc formed by deforming high density plastic bottles were placed in a standardized image quality phantom and imaged at two contrasts (4:1 or 8:1 for spheres, and 4.5:1 and 9:1 for irregular) and three scan durations (1, 2 and 5 minutes). For the work carried out into the comparison of images filters, Gaussian and bilateral filters matched to produce similar image signal to noise (SNR) in background regions were applied to raw unfiltered images. Objects were segmented using thresholding at 40% of the maximum intensity within a region-of-interest (ROI), an adaptive thresholding method which accounts for the signal of the object as well as background, k-means clustering, and a seeded region-growing method adapted from the literature. Quality of the segmentations was assessed using the Dice Similarity Coefficient (DSC) and symmetric mean absolute surface distance (SMASD). Further, models describing how DSC varies with object size, contrast, scan duration, filter choice and segmentation method were fitted using generalized estimating equations (GEEs) and standard regression for comparison. GEEs accounted for the bounded, correlated and heteroscedastic nature of the DSC metric. Our analysis revealed that object size had the largest effect on DSC for spheres, followed by contrast and scan duration. In addition, compared to filtering images with a 5 mm full-width at half maximum (FWHM) Gaussian filter, a 7 mm bilateral filter with moderate pre-smoothing (3 mm Gaussian (G3B7)) produced significant improvements in 3 out of the 4 segmentation methods for spheres. For the irregular objects, time had the biggest effect on DSC values, followed by contrast. </p><p>For the study of applying consensus methods to PET segmentation, an additional gradient based method was included into the collection individual segmentation methods used for the filtering study. Objects in images acquired for 5 minute scan durations were filtered with a 5 mm FWHM Gaussian before being segmented by all individual methods. Two approaches of creating a volume reflecting the agreement between the individual methods were investigated. First, a simple majority voting scheme (MJV), where individual voxels segmented by three or more of the individual methods are included in the consensus volume, and second, the Simultaneous Truth and Performance Level Estimation (STAPLE) method which is a maximum likelihood methodology previously presented in the literature but never applied to PET segmentation. Improvements in accuracy to match or exceed the best performing individual method were observed, and importantly, both consensus methods provided robustness against poorly performing individual methods. In fact, the distributions of DSC and SMASD values for the MJV and STAPLE closely match the distribution that would result if the best individual method result were selected for all objects (the best individual method varies by objects). Given that the best individual method is dependent on object type, size, contrast, and image noise and the best individual method is not able to be known before segmentation, consensus methods offer a marked improvement over the current standard of using just one of the individual segmentation methods used in this dissertation. </p><p>To explore the potential application of consensus volumes to radiation therapy, the MJV consensus method was used to produce GTVs in a population of head and neck cancer patients. This GTV and one created using simple 40% thresholding were then available to be used as a guidance volume for an attending head and neck radiation oncologist and a resident who had completed their head and neck rotation. The task for each physician was to manually delineate GTVs using the CT and PET images. Each patient was contoured three times by each physician- without guidance and with guidance using either the MJV consensus volume or 40% thresholding. Differences in GTV volumes between physicians were not significant, nor were differences between the GTV volumes regardless of the guidance volume available to the physicians. However, on average, 15-20% of the provided guidance volume lay outside the final physician-defined contour.</p><p>In the final study, the MJV and STAPLE consensus volumes were used to extract maximum, peak and mean SUV measurements in two baseline PET scans and one PET scan taken during patients' prescribed radiation therapy treatments. Mean SUV values derived from consensus volumes showed smaller variability compared to maximum SUV values. Baseline and intratreatment variability was assessed using a Bland-Altman analysis which showed that baseline variability in SUV was lower than intratreatment changes in SUV.</p><p>The techniques developed and reported in this thesis demonstrate how filter choice affects segmentation accuracy, how the use of GEEs more appropriately account for the properties of a common segmentation quality metric, and how consensus volumes not only provide an accuracy on par with the single best performing individual method in a given activity distribution, but also exhibit a robustness against variable performance of individual segmentation methods that make up the consensus volume. These properties make the use of consensus volumes appealing for a variety of tasks in radiation oncology.</p> / Dissertation

Small intestinal neuroendocrine tumor (SI-NET) is the most common small bowel tumor in Europe and USA, with an annual incidence of around 0.3-1.3/100000 persons. SI-NETs are the most common type of gastroenteropancreatic NETs (GEP-NETs), and they are known for their ability to produce hormones such as tachykinins and serotonin, as well as for their favorable long-term prognosis in comparison to gastrointestinal adenocarcinoma. The overall aim of the thesis was to investigate unknown or unclear aspects of SI-NET disease, in connection with prognosis, treatment and follow-up. Paper I confirmed several known negative prognostic factors and also showed, for the first time, that para-aortal lymph node metastases and peritoneal carcinomatosis were associated with worse survival by multivariable analyses. Locoregional surgery was associated with a low post-operative mortality, and a prolonged long-term survival by multivariable analysis. In Paper II we continued to investigate peritoneal carcinomatosis and found it be a risk factor not only for death, but also for emergency re-surgery. Furthermore, genetic analyses of samples from primary tumors in patients with and without peritoneal carcinomatosis showed a difference in the DNA between these two groups. In Paper III the outcome after liver surgery and/or radiofrequency ablation of liver metastases was investigated. To summarize, no difference in survival was seen in patients treated with surgery/radiofrequency ablation in comparison with matched controls. However, a superior radiological response of liver metasases and lower U-5-HIAA values were seen in patients subjected to liver surgery and/or radiofrequency ablation compared to matched controls. Paper IV compared ultrasonography, computed tomography and 11C-5HTP-PET in the follow-up after radiofrequency ablation of NET liver metastases. The study concluded that 11C-5HTP-PET depicted all residual tumors after RFA and that it, if used, should be combined with computed tomography for easier interpretation, as RFA areas are not clearly distinguishable with 11C-5HTP-PET alone. Paper V studied gallstone complications after somatostatin analog treatment in SI-NET patients, and concluded that there was a rather high risk to be subjected to a cholecystectomy due to biliary colic, cholecystitis, cholangitis or pancreatitis after primary surgery in somatostatin analog treated patients.

Correlations between neuropsychiatric symptoms and beta-amyloid (Aβ) burden in specific brain regions in living Alzheimer’s disease (AD) patients remain to be elucidated. Ten mild AD patients underwent MR and [11C]SB-13 PET imaging. Neuropsychiatric symptoms were quantified with the Neuropsychiatric Inventory (NPI). NPI-depression/dysphoria, -apathy, -agitation/aggression, -anxiety, and -appetite/eating disorders scores were hypothesized to correlate with Aβ burden in particular brain regions. Pearson’s correlation coefficient revealed that depression/dysphoria scores positively correlated (p<0.05) with standardized uptake values (SUVs) from left medial temporal lobe (r=0.67), and agitation/aggression correlated with SUVs from bilateral anterior cingulate (right, r=0.71; left, r=0.78), temporal (right, r=0.71; left, r=0.75), parietal (right, r=0.77; left, r=0.81), and dorsolateral prefrontal cortex (right, r=0.74; left, r=0.73). However, NPI scores did not significantly correlate with better estimates of Aβ burden that use the cerebellum as reference region. Overall, our results confirm the lack of association between Aβ burden and neuropsychiatric symptoms reported in autopsy studies.

Correlations between neuropsychiatric symptoms and beta-amyloid (Aβ) burden in specific brain regions in living Alzheimer’s disease (AD) patients remain to be elucidated. Ten mild AD patients underwent MR and [11C]SB-13 PET imaging. Neuropsychiatric symptoms were quantified with the Neuropsychiatric Inventory (NPI). NPI-depression/dysphoria, -apathy, -agitation/aggression, -anxiety, and -appetite/eating disorders scores were hypothesized to correlate with Aβ burden in particular brain regions. Pearson’s correlation coefficient revealed that depression/dysphoria scores positively correlated (p<0.05) with standardized uptake values (SUVs) from left medial temporal lobe (r=0.67), and agitation/aggression correlated with SUVs from bilateral anterior cingulate (right, r=0.71; left, r=0.78), temporal (right, r=0.71; left, r=0.75), parietal (right, r=0.77; left, r=0.81), and dorsolateral prefrontal cortex (right, r=0.74; left, r=0.73). However, NPI scores did not significantly correlate with better estimates of Aβ burden that use the cerebellum as reference region. Overall, our results confirm the lack of association between Aβ burden and neuropsychiatric symptoms reported in autopsy studies.

Altered dopamine (DA) neurotransmission is implicated in neurological and psychiatric disorders. Positron Emission Tomography (PET) imaging of DA release has mainly been restricted to striatal areas, rich in D2/D 3 receptors, owing to the moderate affinity of the radioligands used. To measure extra-striatal DA release, where D2/D3 receptor concentrations are much smaller, an approach using a high affinity radioligand, such as [18F]Fallypride, is required. The aim of the present study was to investigate in healthy volunteers the suitability of [ 18F]Fallypride to measure variations in D2/D3 receptor occupancy, as a function of amphetamine-induced DA release, in extra-striatal regions. Six healthy male volunteers underwent two 18F-Fallypride PET sessions, following the double-blind oral administration of 0.3 mg/kg of d-amphetamine (Dexedrine) or placebo (lactose), counter-balanced for order. Following amphetamine administration, D2/D3 receptor occupancy of 18F-Fallypride was significantly reduced in striatum, but also in extra-striatal regions, including substantia nigra, amygdala, thalamus, hippocampus, and cortical areas.

Die Strahlentherapie ist einer der drei Partner im interdisziplinären Feld der Onkologie. In Europa, Asien und den USA besteht zunehmend die Möglichkeit einer Therapie mit Strahlen aus geladenen Ionen anstelle von Photonen. Eine Anlage in Dresden befindet sich in der Kommissionierungsphase. Die Ionenstrahltherapie bietet den Vorteil einer sehr konformalen Behandlung des Tumorvolumens durch die endliche Reichweite der Strahlen und ein ausgeprägtes Dosismaximum kurz vor dem Ende des Strahlpfades. Da eine Therapie in der Regel über bis zu 30 Sitzungen an verschiedenen Tagen durchgeführt wird und der Strahlweg stark von dem durchdrungenen Gewebe beeinflusst wird, sind Verfahren für eine in vivo Verifikation der Strahlapplikation wünschenswert. Eine dieser Methoden ist die Partikeltherapie–Positronen-Emissions-Tomografie (PT-PET). Sie beruht auf der Messung der vom Therapiestrahl erzeugten β+-Aktivitätsverteilung. Da eine direkte Berechnung der Dosis aus der Aktivität in lebendem Gewebe nicht möglich ist, wird die gemessene Aktivitätsverteilung mit einer berechneten Vorhersage verglichen und anschließend entschieden, ob die nächste Therapiesitzung wie geplant erfolgen kann oder Anpassungen notwendig sind. Die vorliegende Arbeit beschäftigt sich mit drei Themen aus dem Bereich der Datenverarbeitung für die PT-PET. Im ersten Teil wird ein Algorithmus zur Bestimmung von Reichweitendifferenzen aus zwei β+- Aktivitätsverteilungen adaptiert und evaluiert. Dies geschieht zunächst anhand einer Simulationsstudie mit realen Patientendaten. Ein Ansatz für eine automatisierte Analyse der Daten lieferte keine zufriedenstellenden Ergebnisse. Daher wird ein Software-Prototyp für eine semiautomatische, assistierte Datenanalyse entwickelt. Die Evaluierung erfolgt durch Experimente mit Phantomen am 12C-Strahl. Die erzeugte Aktivitätsverteilung wird von physiologischen Prozessen im Organismus beeinflusst. Dies führt zu einer Entfernung von Emittern vom Ort ihrer Erzeugung und damit zu einer Verringerung der diagnostischen Wertigkeit der erfassten Verteilung. Zur Quantifizierung dieses als Washout bezeichneten Effektes existiert ein am Tierexperiment gewonnenes Modell. Dieses Modell wird im zweiten Teil der Arbeit auf reale Patientendaten angewendet. Es konnte gezeigt werden, dass das Modell grundsätzlich anwendbar ist und für die betrachtete Tumorlokalisation Schädelbasis ein Washout mit einer Halbwertszeit von (155,7±4,6) s existiert. Die Berechnung der Vorhersage der β+-Aktivitätsverteilung kann durch übliche Monte-Carlo-Verfahren erfolgen. Dabei werden die Wechselwirkungsquerschnitte zahlreicher Reaktionskanäle benötigt. Als alternatives Verfahren wurde die Verwendung gemessener Ausbeuten (Yields) radioaktiver Nuklide in verschiedenen Referenzmaterialien vorgeschlagen. Auf Basis einer vorhandenen Datenbank dieser Yields und einer existierenden Condensed-History-Monte-Carlo-Simulation wird ein Programm zur Berechnung von Aktivitätsverteilungen auf Yieldbasis entwickelt. Mit der Methode kann die β+-Aktivitätsverteilung in Phantomen und Patienten zufriedenstellend vorhergesagt werden. Die entwickelten Verfahren sollen einen Einsatz der PT-PET im klinischen Umfeld erleichtern und damit einen breiten Einsatz ermöglichen, um das volle Potential der Ionenstrahltherapie nutzbar zu machen.

Epilepsy is a common neurological disease affecting 6 million people in Europe. Early prevention and accurate diagnosis and treatment are of importance to obtain seizure freedom. In this thesis new applications of carbon-11-labelled tracers in PET and autoradiographic studies were explored in focal epilepsy. Patients with low-grade gliomas often experience epileptic seizures. A retrospective PET-study assessing seizure activity, metabolic rate measured with 11C-methionine and other known prognostic factors was performed in patients with glioma. No correlation was found between seizure activity and uptake of methionine. The presence and termination of early seizures was a favourable prognostic factor. Activation of the neurokinin-1 (NK1) receptor by substance P (SP) induces epileptic activity. PET with the NK1 receptor antagonist GR205171 was performed in patients with temporal lobe epilepsy (TLE) and healthy controls. In TLE patients an increased NK1 receptor availability was found in both hemispheres, most pronounced in anterior cingulate gyrus ipsilateral to seizure onset. A positive correlation between NK1 receptors and seizure frequency was observed in ipsilateral medial structures consistent with an intrinsic network using the NK1-SP receptor system for transmission of seizure activity. The uptake of 18F-fluoro-deoxy-glucose (FDG) is related to cerebral blood flow (CBF). Previously, methods to estimate blood flow from dynamic PET data have been described. A retrospective study was conducted in 15 patients undergoing epilepsy surgery investigation, including PET with 11C-FDG and 11C-Flumazenil (FMZ). The dynamic FMZ dataset and pharmacokinetic modeling with a multilinear reference tissue model were used to determine images of relative CBF. Agreement between data of FDG and CBF was analyzed showing a close association between interictal brain metabolism and relative CBF. Epilepsy often occurs after traumatic brain injuries. Changes in glia and inhibitory neuronal cells contribute to the chain of events leading to seizures. Autoradiography with 11C-PK11195, 11C-L-deprenyl and 11C-Flumazenil in an animal model of posttraumatic epilepsy studied the temporal and spatial distribution of microglia, astrocytes and GABAergic neurons. Results showed an instant increase in microglial activity that subsequently normalized, a late formation of astrogliosis and an instant and prolonged decease in GABA binding. The model can be used to visualize pathophysiological events during the epileptogenesis.

Background Although abdominal aortic aneurysm (AAA) growth is non-linear, serial measurements of aneurysm diameter are the mainstay of aneurysm surveillance and contribute to decisions on timing of intervention. Aneurysm biology plays a key part in disease evolution but is not currently routinely assessed in clinical practice. Magnetic Resonance Imaging (MRI) and Positron Emission Tomography-Computed Tomography (PET-CT) provide insight into disease processes on a cellular or molecular level, and represent exciting new imaging biomarkers of disease activity. Macrophage-mediated inflammation may be assessed using ultrasmall superparamagnetic particles of iron oxide (USPIO) MRI and the PET radiotracer 18FSodium Fluoride (18F-NaF) identifies microcalcification which is a response to underlying necrotic inflammation. The central aim of this thesis was to investigate these imaging modalities in patients with AAA. Methods and Results USPIO MRI: MULTI-CENTRE STUDY In a prospective multi-centre observational cohort study, 342 patients (85.4% male, mean age 73.1±7.2 years, mean AAA diameter 49.6±7.7mm) with asymptomatic AAA ≥4 cm anteroposterior diameter underwent MRI before and 24-36 hours after intravenous administration of USPIO. Colour maps (depicting the change in T2* caused by USPIO) were used to classify aneurysms on the basis of the presence of USPIO uptake in the aneurysm wall, representing mural inflammation. Intra- and inter-observer agreement were found to be very good, with proportional agreement of 0.91 (kappa 0.82) and 0.83 (kappa 0.66), respectively. At 1 year, there was 29.3% discordant classification of aneurysms on repeated USPIO MRI and at 2 years, discordance was 65%, suggesting that inflammation evolves over time. In the observational study, after a mean of 1005±280 days of follow up, there were 126 (36.8%) aneurysm repairs and 17 (5.0%) ruptures. Participants with USPIO enhancement (42.7%) had increased aneurysm expansion rates (3·1±2·5 versus 2·5±2·4 mm/year; difference 0·6 [95% confidence intervals (CI), 0·02 to 1·2] mm/year, p=0·0424) and had higher rates of aneurysm rupture or repair (69/146=47·3% versus 68/191=35·6%; difference 11·7%, 95% CI 1·1 to 22·2%, p=0·0308). USPIO MRI was therefore shown to predict AAA expansion and the composite of rupture or repair, however this was not independent of aneurysm diameter (c-statistic, 0·7924 to 0·7926; unconditional net reclassification -13·5%, 95% confidence intervals -36·4% to 9·3%). 18F-NaF PET-CT: SINGLE-CENTRE STUDY A sub-group of 76 patients also underwent 18F-NaF PET-CT, which was evaluated using the maximum tissue-to-background ratio (TBRmax) in the most diseased segment (MDS), a technique that showed very good intra- (ICC 0.70-0.89) and inter-observer (ICC 0.637-0.856) agreement. Aneurysm tracer uptake was compared firstly in a case-control study, with 20 patients matched to 20 control patients for age, sex and smoking status. 18F-NaF uptake was higher in aneurysm when compared to control aorta (log2TBRmax 1.712±0.560 vs. 1.314±0.489; difference 0.398 (95% CI 0.057, 0.739), p=0.023), or to non-aneurysmal aorta in patients with AAA (log2TBRmax 1.647±0.537 vs. 1.332±0.497; difference 0.314 (95% CI 0.0685, 0.560), p=0.004). An ex vivo study was performed on aneurysm and control tissue, which demonstrated that 18F-NaF uptake on microPET-CT was higher in the aneurysm hotspots and higher in aneurysm tissue compared to control tissue. Histological analysis suggested that 18F-NaF was highest in areas of focal calcification and necrosis. In an observational cohort study, aneurysms were stratified by tertiles of TBRmax in the MDS and followed up for 510±196 days, with 6 monthly serial ultrasound measurements of diameter. Those in the highest tertile of tracer uptake expanded more than 2.5 times more rapidly than those in the lowest tertile (3.10 [3.58] mm/year vs. 1.24 [2.41] mm/year, p=0.008) and were also more likely to experience repair or rupture (15.3% vs. 5.6%, log-rank p=0.043). In multivariable analyses, 18F-NaF uptake on PET-CT emerged as an independent predictor of AAA expansion (p=0.042) and rupture or repair (HR 2.49, 95% CI1.07, 5.78; p=0.034), even when adjusted for age, sex, body mass index, systolic blood pressure, current smoking and, crucially, aneurysm diameter. Conclusion These are the largest USPIO MRI and PET-CT studies in AAA disease to date and the first to investigate 18F-NaF. Both USPIO MRI and 18F-NaF PET-CT are able to predict AAA expansion and the composite of rupture and repair, with 18F-NaF PETCT emerging as the first imaging biomarker that independently predicts expansion and AAA events, even after adjustment for aneurysm diameter. This represents an exciting new predictor of disease progression that adds incremental value to standard clinical assessments. Feasibility and randomised clinical trials are now required to assess the potential of this technique to change the management and outcome of patients with AAA.

INTRODUÇÃO: Obesidade e doença de Alzheimer afetam um número cada vez maior de pessoas no mundo. Nos últimos anos, surgiram várias evidências de que essas duas doenças estão interligadas, sendo obesidade um fator de risco para a ocorrência de demência. A doença de Alzheimer é de mau prognóstico e de difícil tratamento e estão envolvidos na sua patogênese fatores genéticos e ambientais. A obesidade é encarada como um fator ambiental modificável e, talvez, capaz de mudar a história natural da doença se precocemente controlada. A cirurgia bariátrica é o tratamento mais eficaz para obesidade severa; no entanto, não se sabe claramente o efeito da cirurgia bariátrica sobre o metabolismo cerebral e a função cognitiva. OBJETIVOS: Avaliar prospectivamente o impacto da perda de peso induzida pela cirurgia bariátrica sobre metabolismo cerebral e função cognitiva de obesos; correlacionar metabolismo cerebral e função cognitiva antes e após a cirurgia bariátrica com marcadores metabólicos e inflamatórios. MÉTODOS: 17 mulheres obesas realizaram tomografia computadorizada com emissão de pósitrons com flúor-desoxi-glicose (PET-FDG) para avaliação do metabolismo cerebral de repouso (metabolismo glicolítico regional), testes neuropsicológicos para avaliação da função cognitiva e dosagens de marcadores metabólicos e inflamatórios antes e após a cirurgia bariátrica e, foram comparadas com 16 mulheres de peso normal, eutróficas, pareadas em idade e escolaridade. Foram excluídas da seleção pacientes portadoras de diabetes, usuárias de medicação psicotrópica nos três meses que antecederam as avaliações, portadoras de doença psiquiátrica grave atual ou prévia e mulheres com história de pais acometidos por demência antes dos 70 anos de idade. Nas mulheres obesas as avaliações do metabolismo cerebral, da função cognitiva e das dosagens laboratoriais foram realizadas antes e aproximadamente seis meses após a cirurgia bariátrica, enquanto nas mulheres eutróficas foram realizadas apenas uma vez. Os dados de imagem foram processados através do programa Statistical Parametric Mapping (SPM versão 8) e os demais através do Statistical Analysis System (SAS versão 9.3). Os dados encontrados nas obesas antes da cirurgia foram comparados aos obtidos após a perda de peso e, ambos foram comparados aos dados obtidos nas mulheres eutróficas. RESULTADOS: Mulheres com idade média de 40,5±9,1 anos e índice de massa corporal (IMC) médio de 50.1±4,7 kg/m2 quando comparadas a mulheres de mesma faixa etária com IMC médio de 22.3±2,1 kg/m2 apresentaram aumento do metabolismo cerebral em algumas áreas, principalmente do giro cingulado posterior, com valor de p corrigido para comparações múltiplas de 0,004. No entanto, não encontramos diferença no desempenho dos testes neuropsicológicos entre os grupos. Após a perda de peso, o metabolismo cerebral das mulheres obesas ficou semelhante ao das mulheres eutróficas e houve melhora no desempenho de teste que avalia função executiva (Trail Making Test). CONCLUSÃO: Estudos mostram que o giro cingulado posterior é uma das primeiras áreas acometidas pela doença de Alzheimer e que o aumento do metabolismo cerebral regional pode ser deletério. Esta condição encontrada em obesas, parece ser revertida após a perda de peso induzida por cirurgia bariátrica, acompanhando melhora da função executiva e de marcadores metabólicos e inflamatórios / INTRODUCTION: Obesity and Alzheimer\'s disease affect a growing number of people in the world. In recent years, evidence has arisen suggesting that these two illnesses are linked, with obesity being a risk factor for the occurrence of dementia. Alzheimer\'s disease has an unfavorable prognosis, is hard to treat and genetic and environmental factors are involved in the pathogenesis. Obesity is regarded as a modifiable environmental factor and maybe capable of changing the natural prognosis of the disease if controlled at an early stage. Bariatric surgery is the most effective treatment for severe obesity, however the effect of bariatric surgery on cerebral metabolism and cognitive function is not clearly known. OBJECTIVES: Prospectively assess the impact of weight loss caused by bariatric surgery on the cerebral metabolism and cognitive function of the obese. Correlate the cerebral metabolism and cognitive function before and after bariatric surgery with metabolic and inflammatory markers. METHODS: 17 obese women performed computerized positron emission tomography with fluoro-deoxy-glucose (FDG-PET) for the assessment of resting cerebral metabolism (regional glycolytic metabolism), neuropsychological tests to assess cognitive function and doses of metabolic and inflammatory markers before and after bariatric surgery and compared with 16 women of normal weight, eutrophic, paired by age and level of education. Patients with diabetes, those who had used psychotropic medication within three months prior to the assessments, people with current or previous history of severe psychiatric illness and women with a family history of dementia before 70 years of age. The assessments of cerebral metabolism, cognitive function and laboratory doses were conducted before and approximately 6 months after bariatric surgery in the obese women, whereas the women of normal weight were only assessed once. The imaging data was processed using the Statistic Parametric Mapping (SPM version 8) program and the others through the Statistical Analysis System (SAS version 9.3). The data found in the obese women prior to surgery were compared with those after the weight loss, and both were compared to the data taken from the eutrophic women. RESULTS: Women with a mean age of 40.5±9.1 years and mean body mass index (BMI) of 50.1±4.7 kg/m2 when compared to women of the same age group with mean BMI of 22.3±2.1 kg/m2 presented increased cerebral metabolism in some areas, in particular of the posterior cingulate gyrus, with a corrected p value for multiple comparisons of 0.004. However, differences were not found between the groups for the performance of the neuropsychological tests. After weight loss, the cerebral metabolism of the obese women was similar to the eutrophic women and they performed better in the tests to assess executive function (Trail Making Test). CONCLUSION: Studies show that the posterior cingulate gyrus is one of the first areas affected by Alzheimer\'s disease and that having increased regional cerebral metabolism may be deleterious. This condition found in the obese, appears to be reversed after weight loss induced by bariatric surgery, followed by improved executive function and metabolic and inflammatory markers