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A Multi-center Cohort Study for Conventional Ultrasound Image Set Collection to Create a Data Set for Research Purposes.

Recruitingn/aAges 18 Years - anyAllThrombUS+
NCT06989255 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

This study aims to collect and create a labelled ultrasound image data set containing ultrasound image series and video clips of patients that undergo routine ultrasound scans on lower limbs, because of suspected deep vein thrombosis. The data will be used to train an AI model within ThrombUS+ project to achieve automated detection of deep vein thrombosis on conventional ultrasound scans. Primary objectives: 1. Collect and curate imaging data from ultrasound scans of patients suspected for DVT. 2. Collect accompanying metadata on patient demographics, referral note, existing known medical conditions at the time of scan, diagnosis based on the scan, operator anonymized ID, metadata on the ultrasound equipment used. 3. Anonymize the data set according to established regulations to be used for research purposes and in specific for training an artificial intelligence model to achieve auto

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📋 Eligibility rules (as published)
Inclusion Criteria: * Age ≥18 years. * The participant has the capacity to consent, and consent is obtained prior to any study-specific procedures. * The conventional diagnostic DVT algorithm indicates that an ultrasound is needed, or the patient has been referred for a scan on suspicion of DVT. Exclusion Criteria: * Patients with a known condition or reason that may potentially result in interrupting or stopping the ultrasound examination before its completion. * Patients considered by their treating physician or the ultrasound operator as non-suitable for a standard ultrasound scan. * Patients who have not signed the informed consent.
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What it tests

  • Not listed
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Where

5 sites
Groupement Hospitalier Eaubonne Montmorency Simone Veil
Montmorency, France
University General Hospital of Alexandroupoli
Alexandroupoli, Greece
Papageorgiou General Hospital
Thessaloniki, Greece
Home Relief of Suffering Hospital
San Giovanni Rotondo, Italy
Lithuanian University of Health Science
Kaunas, Lithuania
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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