Background: The purpose of this study was to determine the prevalence of hypertension, cardiovascular risk factors and target organ damage using baseline data from the EVA study.
Methods: EVA is a 5-year multicentre prospective study of women aged between 40 and 70 years attending primary care centres in a rural-urban area in the north of Spain. The recruitment period was between October 2009 and January 2010.
(1)H MRS is becoming an accurate, non-invasive technique for initial examination of brain masses. We investigated if the combination of single-voxel (1)H MRS at 1.5 T at two different (TEs), short TE (PRESS or STEAM, 20-32 ms) and long TE (PRESS, 135-136 ms), improves the classification of brain tumors over using only one echo TE.
View Article and Find Full Text PDFConf Proc IEEE Eng Med Biol Soc
June 2007
This paper introduces a novel distributed decision support system to help radiologists in the diagnosis of soft tissue tumors (STT). Decision support systems are based on pattern recognition engines that discriminate between benign/malignant character and histological groups with a satisfactory estimated efficiency. This system is based on a distributed architecture with three specialized nodes: Radiologist Visual Interface, Information System and Decision Support Web-services.
View Article and Find Full Text PDFUnlabelled: This article presents a pattern-recognition approach to the soft tissue tumors (STT) benign/malignant character diagnosis using magnetic resonance (MR) imaging applied to a large multicenter database.
Objective: To develop and test an automatic classifier of STT into benign or malignant by using classical MR imaging findings and epidemiological information.
Materials And Methods: A database of 430 patients (62% benign and 38% malignant) from several European multicenter registers.