Estudio piloto de la relación entre el aumento de la velocidad de onda del pulso en arteria carótida común medida por resonancia magnética y los factores de riesgo vasculares clásicos en sujetos con sospecha de lesión cerebrovascular isquémica

Arterial stiffness assessed by carotid-femoral pulse wave velocity (cfPWV) measurement is now well accepted as an independent predictor of vascular mortality and morbidity. However, the value of cfPWV has been considered to be limited for risk classification in patients with several vascular risk factors. Magnetic resonance (MR) allows measurement of PWV between two points, though to date mainly used to study the aorta. To assess the common carotid artery pulse wave velocity by magnetic resonance, determine their association with classical vascular risk factors and ischemic brain injury burden in patients with suspected ischemic cerebrovascular disease

A Novel Breast Tissue Density Classification Methodology

It has been shown that the accuracy of mammographic abnormality detection methods is strongly dependent on the breast tissue characteristics, where a dense breast drastically reduces detection sensitivity. In addition, breast tissue density is widely accepted to be an important risk indicator for the development of breast cancer. Here, we describe the development of an automatic breast tissue classification methodology, which can be summarized in a number of distinct steps: 1) the segmentation of the breast area into fatty versus dense mammographic tissue; 2) the extraction of morphological and texture features from the segmented breast areas; and 3) the use of a Bayesian combination of a number of classifiers. The evaluation, based on a large number of cases from two different mammographic data sets, shows a strong correlation ( and 0.67 for the two data sets) between automatic and expert-based Breast Imaging Reporting and Data System mammographic density assessment