Diss. (sammanfattning) Uppsala : Univ., 2007. / Härtill 4 uppsatser.

Introdução: Neurocisticercose (NCC) é a principal causa evitável de epilepsia adquirida no mundo. NCC, além de ser, a doença parasitária mais comum do SNC, representa um importante problema de saúde pública, especialmente em países em desenvolvimento. Estudos de neuroimagem são cruciais no diagnóstico e planejamento terapêutico da NCC. Apesar da ressonância magnética (RM) fornecer maior número e detalhe de informações sobre a doença, a tomografia computadorizada (TC) ainda é o método mais sensível na detecção de calcificação intracraniana, o achado radiológico mais comum da NCC. Objetivo: Comparar performance das sequências de RM ponderadas em suscetibilidade magnética na identificação de calcificações intracranianas em pacientes com NCC. Métodos: Estudo prospectivo, unicêntrico, no qual 57 indivíduos foram submetidos a TC e RM de crânio. Todos os indivíduos foram provenientes do Ambulatório de Doenças Infecciosas do Departamento de Neurologia do Hospital das Clínicas - Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), com diagnóstico confirmado de NCC. O protocolo de RM incluiu uma sequência convencional 2D gradiente eco (2D-GRE) e duas relativamente novas sequências de suscetibilidade magnética: susceptibilityweighted imaging (SWI) e principles of echo shifting with a train of observations (PRESTO). A TC foi considerada método padrão de referência. Dois neurorradiologistas, cegos para os dados clínicos e demais achados radiológicos, analisaram independentemente as sequências 2D-GRE, SWI e PRESTO quanto à presença, número e localizações de calcificações intracranianas atribuídas a NCC. Resultados: Foram identificadas, pela TC, 739 lesões calcificadas relacionadas a NCC em 50 dos 57 indivíduos incluídos no estudo. A média de lesões calcificadas por paciente foi de 12,9 (± 19,8). A médias de lesões encontradas pelas sequências de suscetibilidade magnética, obtido através da média dos resultados dos observadores, foi de 10,8 (± 17,5) para PRESTO, 10,6 (± 17,3) para SWI e 8,3 (± 13,6) para 2D-GRE. Neste quesito não houve diferença estaticamente significativa entre PRESTO e SWI (p = 0,359) e ambos foram superiores a 2D-GRE (p < 0,05). A concordância foi fraca a moderada, provavelmente devido ao alto número de lesões falso-positivas encontradas (490), das quais 53,9% representavam lesões relacionadas a NCC em estágios não calcificados. A sensibilidade e especificidade das sequências estudadas em identificar corretamente indivíduos com NCC em estágio calcificado foi respectivamente de 85% e 100% para 2D-GRE, 90% e 100% para SWI e 93% e 100% para PRESTO. Conclusão: As sequências SWI, PRESTO e 2D-GRE apresentam boa sensibilidade na identificação de lesões calcificadas em pacientes com NCC. As sequências SWI e PRESTO tiveram melhor performance do que 2D-GRE. Todas as sequências estudadas mostrarem-se apropriadas para identificar indivíduos com NCC no estágio de calcificação. Sequências ponderadas em suscetibilidade magnética podem ajudar no entendimento da história natural, fisiopatologia e achados de imagem da NCC / Background: Neurocysticercosis (NCC) is the main preventable cause of acquired epilepsy. NCC, besides being the most common parasitic disease of the CNS, is an important public health problem, mainly in developing countries. Neuroimaging studies are crucial in the diagnosis and therapeutic planning of NCC. Although magnetic resonance imaging (MRI) provides countless and more detailed information about the disease, computed tomography (CT) is still the most sensitive method for detecting intracranial calcification, the most common radiological finding of NCC. Purpose: To compare the diagnostic performance of susceptibility-weighted MRI sequences in identification of intracranial calcifications in patients with NCC. Methods: A prospective study with 57 subjects who underwent CT and MRI of the brain. All individuals came from Department of Neurology of the Hospital das Clínicas - Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), with a stablished diagnosis of NCC. The MRI protocol included a conventional 2D gradient echo sequence (2D-GRE) and two relatively new susceptibility-weighted sequences: susceptibility-weighted imaging (SWI) and principles of echo shifting with a train of observations (PRESTO). CT was considered the standard reference method. Two neuroradiologists, blinded to clinical data and other radiological findings, independently analyzed the 2D-GRE, SWI and PRESTO sequences on behalf to presence, number and sites of intracranial calcifications attributed to NCC. Results: A total of 739 NCC-related calcified lesions were identified by CT in 50 of the 57 subjects included in the study. The mean number of calcified lesions per patient was 12.9 (± 19.8). The mean number of lesions found by the susceptibility-weighted MRI sequences, obtained through the mean of the observers\' results, was 10.8 (± 17.5) for PRESTO, 10.6 (± 17.3) for SWI and 8.3 (± 13.6) for 2D-GRE. There was no statistically significant difference between PRESTO and SWI (p = 0.359) and both were superior to 2D-GRE (p < 0.05). The concordance was weak to moderate, probably due to the high number of false-positive lesions found (490), of which 53.9% represented NCC-related lesions in non-calcified stages. The sensitivity and specificity of the sequences studied in correctly identifying individuals with calcified NCC were 85% and 100% respectively for 2D-GRE, 90% and 100% for SWI and 93% and 100% for PRESTO. Conclusion: SWI, PRESTO and 2D-GRE sequences have good sensitivity in the identification of calcified lesions in patients with NCC. SWI and PRESTO performed better than 2DGRE. All sequences studied are suitable for identifying individuals with NCC in the calcified stage. The new susceptibility-weighted MRI sequences may help in understanding the natural history, pathophysiology and imaging findings of NCC

Objective: Chronic recurrent multifocal osteomyelitis/ chronic non-bacterial osteomyelitis (CRMO/CNO) is a rare auto-inflammatory disease and typically manifests in terms of musculoskeletal pain. Because of a high frequency of musculoskeletal disorders in children/ adolescents, it can be quite challenging to distinguish CRMO/ CNO from nonspecific musculosketetal pain or from malignancies. The purpose of this study was to evaluate the visibility of CRMO lesions in a whole-body diffusion-weighted imaging (WB-DWI) technique and its potential clinical value to better characterize MR-visible lesions. Materials and methods: Whole-body imaging at 3T was performed in 16 patients (average: 13 years) with confirmed CRMO. The protocol included 2D Short Tau Inversion Recovery (STIR) imaging in coronal and axial orientation as well as diffusion-weighted imaging in axial orientation. Visibility of lesions in DWI and STIR was evaluated by two readers in consensus. The apparent diffusion coefficient (ADC) was measured for every lesion and corresponding reference locations. Results: A total of 33 lesions (on average 2 per patient) visible in STIR and DWI images (b = 800 s/mm2 and ADC maps) were included, predominantly located in the long bones. With a mean value of 1283 mm2/s in lesions, the ADC was significantly higher than in corresponding reference regions (782 mm2/s). By calculating the ratio (lesion to reference), 82% of all lesions showed a relative signal increase of 10% or higher and 76% (25 lesions) showed a signal increase of more than 15%. The median relative signal increase was 69%. Conclusion: This study shows that WB-DWI can be reliably performed in children at 3T and predominantly, the ADC values were substantially elevated in CRMO lesions. WB-DWI in conjunction with clinical data is seen as a promising technique to distinguish benign inflammatory processes (in terms of increased ADC values) from particular malignancies.

A better understanding of tumour heterogeneity is central for accurate diagnosis, targeted therapy and personalised treatment of glioblastoma patients. This thesis aims to investigate whether pre-operative multi-parametric magnetic resonance imaging (MRI) can provide a useful tool for evaluating inter-tumoural and intra-tumoural heterogeneity of glioblastoma. For this purpose, we explored: 1) the utilities of habitat imaging in combining multi-parametric MRI for identifying invasive sub-regions (I & II); 2) the significance of integrating multi-parametric MRI, and extracting modality inter-dependence for patient stratification (III & IV); 3) the value of advanced physiological MRI and radiomics approach in predicting epigenetic phenotypes (V). The following observations were made: I. Using a joint histogram analysis method, habitats with different diffusivity patterns were identified. A non-enhancing sub-region with decreased isotropic diffusion and increased anisotropic diffusion was associated with progression-free survival (PFS, hazard ratio [HR] = 1.08, P < 0.001) and overall survival (OS, HR = 1.36, P < 0.001) in multivariate models. II. Using a thresholding method, two low perfusion compartments were identified, which displayed hypoxic and pro-inflammatory microenvironment. Higher lactate in the low perfusion compartment with restricted diffusion was associated with a worse survival (PFS: HR = 2.995, P = 0.047; OS: HR = 4.974, P = 0.005). III. Using an unsupervised multi-view feature selection and late integration method, two patient subgroups were identified, which demonstrated distinct OS (P = 0.007) and PFS (P < 0.001). Features selected by this approach showed significantly incremental prognostic value for 12-month OS (P = 0.049) and PFS (P = 0.022) than clinical factors. IV. Using a method of unsupervised clustering via copula transform and discrete feature extraction, three patient subgroups were identified. The subtype demonstrating high inter-dependency of diffusion and perfusion displayed higher lactate than the other two subtypes (P = 0.016 and P = 0.044, respectively). Both subtypes of low and high inter-dependency showed worse PFS compared to the intermediate subtype (P = 0.046 and P = 0.009, respectively). V. Using a radiomics approach, advanced physiological images showed better performance than structural images for predicting O6-methylguanine-DNA methyltransferase (MGMT) methylation status. For predicting 12-month PFS, the model of radiomic features and clinical factors outperformed the model of MGMT methylation and clinical factors (P = 0.010). In summary, pre-operative multi-parametric MRI shows potential for the non-invasive evaluation of glioblastoma heterogeneity, which could provide crucial information for patient care.

Diffusion-weighted (DW) magnetic resonance imaging is an important neuroimaging technique that has successful applications in diagnosis of ischemic stroke and methods based on diffusion tensor imaging (DTI). Tensor measures have been used for detecting changes in tissue microstructure and for non-invasively tracing white matter connections in vivo. The most common image acquistion strategy is to use a DW single-shot echo-planar imaging (ss-EPI) pulse sequence, which is attractive due to its robustness to motion artefacts and high imaging speed. However, this sequence has limited achievable spatial resolution and suffers from geometric distortion and blurring artefacts. Readout-segmented echo-planar imaging (rs-EPI) is a DW sequence that is capable of acquiring high-resolution images by segmenting the acquisition of k- space into multiple shots. The fast, short readouts reduce distortion and blurring and the problem of artefacts due to motion-induced phase changes between shots can be overcome with navigator techniques. The rs-EPI sequence has two main shortcomings. (i) The method is slow to produce image volumes, which is limiting for clinical scans due to patient welfare and prevents us from acquiring very many directions in DTI. (ii) The sequence (like other diffusion techniques) is far from the optimum repetition time (TR) for acquiring data with the highest possible signal-to-noise ratio (SNR) in a given time. The work in this thesis seeks to address both of these important issues using a range of approaches. In Chapter 4 a partial Fourier extension is presented, which addresses point (i) by reducing the number of readout segments acquired and estimating the missing data. This allows reductions in scan time by approximately 40&percnt; and the reliability of the images is demonstrated in comparisons with the original images. The application of a simultaneous multi-slice scheme to rs-EPI, to address points (i) and (ii), is described in Chapter 5. Using the slice-accelerated rs-EPI sequence, tractography data were compared to ss-EPI data and high-resolution trace-weighted data were acquired in clinically relevant scan times. Finally, a 3D multi-slab extension that addresses point (i) is presented in Chapter 6. A 3D sequence could also allow higher resolution in the slice direction than 2D multi-slice methods, which are limited by the difficulties in exciting thin, accurate slices. A 3D version of rs-EPI was simulated and implemented and a k-space acquisition synchronised to the cardiac cycle showed substantial improvements in image artefacts compared to a conventional k-space acquisition.

Application of Diffusion Tensor Imaging to Brain Gray and White Ma er A In the present work we explore the gray and white ma er applicability of diffusion tensor imaging (DTI). To evaluate effect of ferritin-bound iron on gray ma er contrast in DTI, we created an in vitro model consisting of agarose gel phantoms doped with ferritin, and validated our results in vivo on healthy volunteer subjects - years of age in the basal ganglia. We further explored the application of DTI to amyotrophic lateral sclerosis (ALS) and multiple system atrophy (MSA); neurodegenerative diseases with gray and white ma er pathophysiological components. In the ALS study, patients and age- and sex-matched controls were recruited, while the MSA study included probable MSA subjects ( MSA-P, MSA-C) and age- and sex-matched controls. We found that ferritin-bound iron may make a signi cant contribution to DTI scalars in gray ma er regions of the brain, mediated by eigenvalue repulsion. is has important implications for DTI studies targeting gray ma er regions, especially in adolescence and in diseases associated with altered brain-iron load. In ALS, we found altered diffusion in the corona radiata and callosal body, and changes in R in the caudate nucleus and frontal white ma er. In MSA, we observed widespread white ma er changes associated...

Lanthanide(III) complexes of DOTA derivatives are utilized in the medical imaging techniques such as magnetic resonance imaging (MRI), magnetic resonance angiography (MRA), and magnetic resonance spectroscopy (MRS), nuclear imaging (PET and SPECT), or optical methods (luminescence). It has been shown that relaxometric parameters of the Gd(III) complexes of DOTA derivatives with a phosphinic acid pendant arm (Gd-DO3APR ) can reach optimal values (e.g. water residence time, τM, being close to ~10 ns). The relaxometric parameters can be further modified through the phosphorus substituents. It is also known that the complexes possess a high thermodynamic stability and they are kinetically inert. The main goal of this Thesis is an investigation of the effect of pendant amino group protonation in substituents bound to the phosphorus atom on properties of the complexes. Thus in this Thesis, DOTA derivatives with the phosphinic acid pendant arm with an amino group and their complexes were prepared and characterized. The complexes are intended as contrast agents for molecular imaging techniques (mainly for MRI and 31 P MRS). The first part of the Thesis introduces two new versatile "phospha-Mannich" protocols performed under mild conditions. Amino-H-phosphinic acids (AHPAs) were synthesized with excess of...

Diss. (sammanfattning) Uppsala : Univ., 2004. / Härtill 5 uppsatser.

Diss. (sammanfattning) Linköping : Linköpings universitet, 2010. / Härtill 6 uppsatser.

This thesis deals with the magnetic resonance perfusion data analysis especially DCEMRI. In its introduction the thesis describes the problem of DCE-MRI data aquisition, the necessity of appropriate contrast agent and basic principles of perfusion analysis. The dynamic behavior of contrast agent vascular distribution can be described by arterial input function (AIF). The shape of the curves close to the area of interest is affected by dispersion which is called vascular transport function (VTF) due to the distribution of the contrast agent to the region of interest. Finally the tissue residual function describes system behavior of tissue. The practical part of the diploma thesis is aimed at implementation of model curves AIF, VTF and TRF. Furthermore, a simulation program was created for easy manipulation with introduced models moreover the program is used to perform an estimation of perfusion parameters based on nonblind deconvolution. The method is validated on synthetic data and illustrated on clinical data of the renal cell carcinoma patient.