Correlative ROI Calculation of MCAs: Another Promising Primary Sign of Acute Infarction?

The purpose of this project was to calculate the ROI of the middle cerebral artery (MCA) in patients with acute stroke to establish if this measurement could be used as another primary sign of infarction even if other established primary signs of infarction are absent. CT brain scans of 465 patients, who presented in the emergency room in the first six hours after the onset of symptoms, were studied retrospectively. Two polygonal ROIs were drawn on the M1 segments of both middle cerebral arteries and three parameters were calculated automatically: HU density, volume and surface of the corresponding artery segment.

Cinacalcet-induced leukocytoclastic vasculitis.

An 80-year-old woman on maintenance hemodialysis therapy developed severe hypercalcemia under vitamin D treatment for secondary hyperparathyroidism. To avoid the toxic calcemic effects, cinacalcet was introduced and the dose of vitamin D was substantially decreased. Cinacalcet targets the calcium-sensing receptor and decreases parathyroid hormone levels without increasing calcium and phosphorus levels.

Computational intelligence for the detection and classification of malignant lesions in screening mammography.

This report deals with the discussion of the findings obtained from the application of two computational intelligence methodologies for the detection of microcalcifications in screening mammography data. Genetic programming and inductive machine learning have been applied, in order to produce meaningful diagnostic rules for the medical staff. The data used in the experiments correspond to information acquired from two images of each breast of the patient, along with some associated patient information such as the age at time of study.

Breast tumor malignancy modelling using evolutionary neural logic networks.

The present work proposes a computer assisted methodology for the effective modelling of the diagnostic decision for breast tumor malignancy. The suggested approach is based on innovative hybrid computational intelligence algorithms properly applied in related cytological data contained in past medical records. The experimental data used in this study were gathered in the early 1990s in the University of Wisconsin, based in post diagnostic cytological observations performed by expert medical staff.