Early detection of cardiovascular risk by QIMT: the Esaote method

Esaote’s QIMT uses radio frequency to measure intima-media thickness, conferring early diagnosis, improved quality of life, and cost reduction

Edited by: Professor Pierre Boutouyrie, Pharmacology Unit, European Hospital George Pompidou, Paris, France
Written by: Aisha Shabir, Clinical Applications Specialist

Cardiovascular diseases (CVD) are the biggest killers around the globe, mainly through atherosclerosis, yet, many premature deaths could be prevented by timely detection of modifiable risk factors and by adequate lifestyle interventions. Gender, age, diabetes, smoking, hyperlipidaemia, high blood pressure and family history of CVD are risk factors currently used in clinical practice algorithms to establish the risk of cardiovascular disease. However, the algorithms lack any information about organ damage at a reversible stage.

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