A pilot study to evaluate AI-assisted ultrasound software for the diagnosis of venous thrombosis
- Conditions
- Proximal deep vein thrombosisCirculatory System
- Registration Number
- ISRCTN24293748
- Lead Sponsor
- ThinkSono GmbH
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- All
- Target Recruitment
- 50
1. Aged 18 years old and over
2. Suspicion of the presence of a deep vein thrombosis, indicating a compression ultrasound exam according to standard clinical practice
3. Capacity to consent to the study through the patients or the Legal Representative
1. Inability to consent to the study or rejection through patients or the legal representative.
2. Pregnant for more than 12 weeks
3. D-dimer testing cannot be performed/patient is on anticoagulation
4. History of DVT in the symptomatic leg
Study & Design
- Study Type
- Interventional
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Sensitivity and specificity measured using AI-guided ultrasound and a local imaging specialist performing the gold-standard ultrasound exam at the same timepoint
- Secondary Outcome Measures
Name Time Method Image quality of the AI-guided ultrasound measured by a remote qualified clinician according to the American College of Emergency Physicians (ACEP) scoring scale from 1 to 5 at one timepoint