Gravidez após Colocação de Banda Gástrica para Tratamento da Obesidade Mórbida

Obesity is known to have a negative impact on pregnancy outcome, as it is associated with an increase in the incidence of gestational diabetes, hypertension, preeclampsia, neural tube defects, macrosomia, and late fetal death. Gastric banding is considered an appropriate intervention for morbid obesity when other weight-loss measures are unsuccessful, and this treatment has been shown to be effective in causing a sustainable weight loss. Some women will become pregnant after bariatric surgery, and the nutritional and metabolic challenges brought by gastric banding may have a profound impact on maternal health and pregnancy outcome. The authors report the case of a 27 year old pregnant woman, with a past medical history of gastric banding surgery for morbid obesity. At 18 weeks of gestation, the patient started complaining of severe nausea and vomiting, The situation deteriorated three weeks later when she rapidly developed severe desnutrition, dehydration and early signs of liver and renal failure. Migration of the gastric band was diagnosed, and laparoscopy conducted to remove it. In the day following surgery the patient complained of absent fetal movements, and an intrauterine demise was diagnosed on ultrasound. Pathological examination of the fetus and placenta failed to reveal the cause of death, but no growth restriction was documented, suggesting the occurrence of an acute event.

Migração de Banda Gástrica - Casuística da Unidade de Tratamento da Obesidade e Doenças Metabólicas do Hospital de São José, Lisboa

A banda gástrica é um método eficaz na obtenção da perda de peso, mas tem uma taxa de complicações a longo prazo que pode ser considerada elevada. Entre elas, a migração intragástrica é rara (0.6-10%) consiste na erosão da banda através da parede gástrica até ao lúmen por um processo de destruição e auto-regeneração com processo infeccioso mínimo. Neste trabalho analisamos os aspetos clínicos, analíticos e terapêuticos presentes em 24 doentes operados na nossa unidade para remoção de bandas migradas. Conclui-se que esta complicação exige com frequência uma terapêutica cirúrgica que é segura devendo favorecer-se a mudança de conceito e evolução de uma cirurgia restritiva (banda) parar cirurgia de absorção limitada ou técnica mista.

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.