【摘 要】
:
Brain tumours remain an important cause of morbidity and mortality and affect an increasing percentage of aging adults with a crude incidence rate of 8 per 100,000 inhabitants in Europe.Diagnosis usin
【机 构】
:
MicroArt Catalonia (Europe) Spain
【出 处】
:
BIT Life Sciences 1st Annual World Cancer Congess-2008(2008中
论文部分内容阅读
Brain tumours remain an important cause of morbidity and mortality and affect an increasing percentage of aging adults with a crude incidence rate of 8 per 100,000 inhabitants in Europe.Diagnosis using Magnetic Resonance Imaging (MRI) is non-invasive, but only achieves 60-90 % accuracy, depending on the tumour type and grade.The current gold standard classification of a brain tumour by histopathological analysis of biopsy is an invasive surgical procedure and incurs a risk of 2.4-3.5% morbidity and 0.2-0.8% mortality, in addition to healtheare costs and stress to patients.There is a need to improve brain tumour classification, and to provide non-invasive methods for brain tumour diagnosis and prognosis, to aid patient management and treatment.The HealthAgents project is engaged in the development of a distributed, agent-based decision support system (DSS), which implements a series of automated classifiers based on pattern recognition methodologies for the diagnosis and prognosis of brain tumours.
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