Tratamento da Co-Infecção do Vírus da Hepatite B e C. Resposta Excedida

Os vírus da hepatite B (VHB) e da hepatite C (VHC) constituem a causa mais frequente de doença hepática crónica. A partilha de vias de transmissão contribui para o risco de coinfecção VHB-VHC. Nos doentes co-infectados com o VHB e VHC verifica-se uma progressão mais rápida para a cirrose hepática e existe um risco aumentado para o carcinoma hepatocelular. A terapêutica da co-infecção VHB/VHC é empírica, consistindo na indicada para a infecção exclusiva pelo VHC, o qual, na maioria dos casos, é o vírus dominante. A utilização do tratamento padrão para a hepatite C, nomeadamente interferão alfa peguilado e ribavirina, não mostra diferenças significativas na resposta virológica sustentada ao VHC comparativamente com a dos monoinfectados pelo VHC. É incerto o benefício da associação de análogos dos nucleós(t)idos. A acção terapêutica pode modificar a interacção entre os dois vírus e, designadamente, exacerbar a doença por reactivação do VHB. Os autores apresentam o caso clínico de uma doente com co-infecção VHB-VHC, sem reconhecimento de vírus dominante, em que a resposta à terapêutica instituída superou a expectativa da evidência científica disponível.

Automatic Small Bowel Tumor Diagnosis by Using Multi-Scale Wavelet-Based Analysis in Wireless Capsule Endoscopy Images

BACKGROUND: Wireless capsule endoscopy has been introduced as an innovative, non-invasive diagnostic technique for evaluation of the gastrointestinal tract, reaching places where conventional endoscopy is unable to. However, the output of this technique is an 8 hours video, whose analysis by the expert physician is very time consuming. Thus, a computer assisted diagnosis tool to help the physicians to evaluate CE exams faster and more accurately is an important technical challenge and an excellent economical opportunity. METHOD: The set of features proposed in this paper to code textural information is based on statistical modeling of second order textural measures extracted from co-occurrence matrices. To cope with both joint and marginal non-Gaussianity of second order textural measures, higher order moments are used. These statistical moments are taken from the two-dimensional color-scale feature space, where two different scales are considered. Second and higher order moments of textural measures are computed from the co-occurrence matrices computed from images synthesized by the inverse wavelet transform of the wavelet transform containing only the selected scales for the three color channels. The dimensionality of the data is reduced by using Principal Component Analysis. RESULTS: The proposed textural features are then used as the input of a classifier based on artificial neural networks. Classification performances of 93.1% specificity and 93.9% sensitivity are achieved on real data. These promising results open the path towards a deeper study regarding the applicability of this algorithm in computer aided diagnosis systems to assist physicians in their clinical practice.

Comparison of Methods and Co-Registration Maps of EEG and fMRI in Occipital Lobe Epilepsy

Clinically childhood occipital lobe epilepsy (OLE) manifests itself with distinct syndromes. The traditional EEG recordings have not been able to overcome the difficulty in correlating the ictal clinical symptoms to the onset in particular areas of the occipital lobes. To understand these syndromes it is important to map with more precision the epileptogenic cortical regions in OLE. Experimentally, we studied three idiopathic childhood OLE patients with EEG source analysis and with the simultaneous acquisition of EEG and fMRI, to map the BOLD effect associated with EEG spikes. The spatial overlap between the EEG and BOLD results was not very good, but the fMRI suggested localizations more consistent with the ictal clinical manifestations of each type of epileptic syndrome. Since our first results show that by associating the BOLD effect with interictal spikes the epileptogenic areas are mapped to localizations different from those calculated from EEG sources and that by using different EEG/fMRI processing methods our results differ to some extent, it is very important to compare the different methods of processing the localization of activation and develop a good methodology for obtaining co-registration maps of high resolution EEG with BOLD localizations.