Compression ultrasonography data collection for deep vein thrombosis
Research type
Research Study
Full title
Compression ultrasonography data collection for the development of an Automatic deep vein thrombosis (DVT) detection software algorithm.
IRAS ID
234007
Contact name
Nicola Curry
Contact email
Sponsor organisation
ThinkSono Ltd
Duration of Study in the UK
1 years, 0 months, 1 days
Research summary
Deep vein thrombosis (DVT) is the formation of blood clots (thrombi) in the deep veins. It commonly affects the deep leg veins (such as the calf veins, femoral vein, or popliteal vein) or the deep veins of the pelvis. It is a potentially dangerous condition that can lead to preventable morbidity and mortality. The approach to making a diagnosis currently involves an algorithm combining pretest probability, D-dimer testing, and compression ultrasonography. \n\nThe current diagnostic approach is expensive (estimated to cost the NHS £640 million a year) and inefficient (between 75-88% of patients come back negative). \n\nIn order to reduce the cost and improve the efficiency of DVT diagnosis, a “point of care“ DVT diagnosis technology is being developed. It uses software to do the diagnosis. For this software to work, ultrasound data from patients must be collected in order to “train“ the algorithm to recognize DVT and diagnose it automatically. \n\nHence, this data collection study is proposed. \n\n
REC name
South Central - Berkshire B Research Ethics Committee
REC reference
18/SC/0220
Date of REC Opinion
16 Apr 2018
REC opinion
Favourable Opinion