ADVENT

Automatic-DVT diagnostic software for the detection of deep vein thrombosis

Chief investigator: Nikki Curry
Primary sponsor: Oxford University Hospitals NHS Foundation Trust
Industrial collaborator: ThinkSono
Funder: Wellcome Trust
NHSBT research theme: Transfusion Medicine

Summary

Automatic-DVT diagnostic software for the detection of deep vein thrombosis (DVT). Medical device (software) for non-radiographers to detect proximal DVTs.

Study hypothesis

DVT is a term which describes a blood clot (thrombus) that can form in the deep veins. DVT commonly affects the proximal deep veins of the pelvis.

The standard approach to making a diagnosis currently involves an algorithm combining pre-test probability, D-dimer testing, and compression ultrasonography (typically a two or three-point compression exam).

This study will compare the gold standard two or three-point compression ultrasound exam with an automated DVT scan guided by novel software (AutoDVT).

The aim of the study is to estimate the sensitivity and specificity of the AutoDVT software compared to a two or three-point compression ultrasound exam.

Study design

Multi-centre, double-blinded pilot study. The study will be run and conducted in the UK.

Trial contact

Ashley Foster
Email: Ashley.Foster@nhsbt.nhs.uk
Tel: 01223 588132