Comparing AutoDVT software with specialists in diagnosing blood clots

ISRCTN ISRCTN55099449
DOI https://doi.org/10.1186/ISRCTN55099449
Secondary identifying numbers 15.03.2021
Submission date
11/05/2023
Registration date
12/05/2023
Last edited
27/05/2025
Recruitment status
No longer recruiting
Overall study status
Completed
Condition category
Circulatory System
Prospectively registered
Protocol
Statistical analysis plan
Results
Individual participant data

Plain English summary of protocol

Background and study aims
Deep vein thrombosis (DVT) is a term that describes blood clots (thrombi) that can form in the deep veins. The deep leg veins are commonly affected (such as the proximal veins: the femoral vein or the popliteal vein) or the deep veins of the pelvis. The standard approach to making a diagnosis involves an algorithm combining pre-test probability, a blood test called the D-dimer test, and the patient undergoing an ultrasound of the leg veins. Ultrasound is currently completed by a trained expert (e.g. sonographer or radiologist).

However, handheld ultrasound probes have recently become available and they have enabled ‘app-based’ ultrasonography to be performed. ThinkSono has developed software (AutoDVT software) allowing non-specialists to perform DVT ultrasound, hoping it has the same accuracy for diagnosing DVT as the standard ultrasound. If this study has a positive outcome, it would mean that DVT could be diagnosed at the point of care by non-experts such as nurses, junior doctors, general practitioners and other healthcare staff.

By diagnosing DVT early in the clinical pathway (for example, at GP practices), the technology could reduce emergency department admissions and free up specialists to focus on other clinical tasks. These improvements could also potentially reduce the financial burden of the DVT diagnostic service on healthcare systems.

Who can participate?
Patients aged 18 years and over, coming for a check to see if they have a DVT and have symptoms suggesting that they need an ultrasound scan

What does the study involve?
Participants undergo two compression ultrasound scans. One is carried out by a non-radiology staff member (e.g a nurse) using AI software to guide them and another ultrasound scan will be carried out as already scheduled by a sonographer or radiologist.

What are the possible benefits and risks of participating?
This study will not benefit participants directly in the short term but it may benefit patients having an ultrasound for a DVT in the future. The results from this study will improve knowledge of how software may be able to help diagnose blood clots accurately and quickly.
Ultrasound is a very safe method of confirming a DVT or not and is used already as standard care in hospitals. There are no risks of taking part. The scan does involve some pressing on the leg but if it is painful or participants want to stop they can let the researchers know.

Where is the study run from?
Helios Emil von Behring Klinikum Zehlendorf (Germany)

When is the study starting and how long is it expected to run for?
August 2021 to July 2022

Who is funding the study?
ThinkSono GmbH (Germany)

Who is the main contact?
Sven Mischkewitz, hello@thinksono.com

Contact information

Mrs Andrea Adler
Scientific

Birkenalle 34
Magdeburg
39130
Germany

Phone +49 3917913200
Email notfallmedizin@klinikum-magdeburg.de

Study information

Study designInterventional non-randomised prospective double-blinded
Primary study designInterventional
Secondary study designNon randomised study
Study setting(s)Hospital
Study typeDiagnostic
Participant information sheet Not available in web format, please use contact details to request a participant information sheet.
Scientific titleEvaluation of the diagnostic exclusion ability of the AutoDVT software for an algorithm-guided compression sonography in comparison to conventional compression sonography by experienced specialists
Study objectivesThe evaluation of the remote qualified clinician is compared against the gold-standard ultrasound exam performed by a local specialist. The aim of this study is to judge the maturity of the AutoDVT software for a powered follow-up study to show that adequate quality compression sequences can be reliably obtained by non-specialists and DVT can be excluded safely.
Ethics approval(s)Approved 11/08/2021, Ethikkommission Ärztekammer Sachsen-Anhalt (Am Kirchtor 9, 06108 Halle, Germany; +493453880936; bs-hal@aeksa.de), ref: 45/21
Health condition(s) or problem(s) studiedProximal Deep Vein Thrombosis
InterventionAn AI-assisted scan with the AutoDVT software is performed by a non-specialist. A follow-up gold-standard scan is performed by a local specialist (compression ultrasound). The images collected by the non-specialist are presented to a remote qualified clinician who evaluated image quality according to the quality scale of the American College of Emergency Physicians (ACEP) and consequently, if the image quality is sufficient, assesses whether the veins of the patient are compressible, incompressible or indeterminate.
Intervention typeDevice
Pharmaceutical study type(s)Not Applicable
PhaseNot Applicable
Drug / device / biological / vaccine name(s)AutoDVT
Primary outcome measureSensitivity and specificity compared between the AI-guided ultrasound and local imaging specialist performing the gold-standard ultrasound exam. The gold-standard exam is performed on the same day
Secondary outcome measuresImage quality of the AI-guided ultrasound assessed by remote qualified clinicians according to the American College of Emergency Physicians (ACEP) scoring scale from 1 to 5. The overall proportion will be reported.
Overall study start date11/08/2021
Completion date14/07/2022

Eligibility

Participant type(s)Patient
Age groupAdult
Lower age limit18 Years
SexBoth
Target number of participants30
Total final enrolment26
Key inclusion criteria1. Age: at least 18 years old, of both sexes
2. Suspicion of the presence of a deep vein thrombosis, indicating a compression ultrasound exam according to standard clinical practice
3. Capacity to consent in the study through the patients or the legal Representative
Key exclusion criteriaInability to the consent in the study or rejection through patients or the legal representative.
Date of first enrolment08/10/2021
Date of final enrolment27/05/2022

Locations

Countries of recruitment

  • Germany

Study participating centre

Klinikum Magdeburg
Birkenallee 34
Magdeburg
39130
Germany

Sponsor information

ThinkSono GmbH
Industry

August-Bebel-Straße 88
Potsdam
14482
Germany

Phone +49 1724754848
Email hello@thinksono.com
Website https://thinksono.com

Funders

Funder type

Industry

ThinkSono GmbH

No information available

Results and Publications

Intention to publish date01/09/2023
Individual participant data (IPD) Intention to shareNo
IPD sharing plan summaryNot expected to be made available
Publication and dissemination planWe plan to publish the study at a peer reviewed journal, potentially in combination with other study data. The writing of the publication and selection of the journal is currently ongoing.
IPD sharing planDue to patient confidentiality, no patient data will be shared. However, anonymised ultrasound data may be shared if a request is made be relevant authorities. This must be sent to hello@thinksono.com and a statement about the use of the data must be made.

Study outputs

Output type Details Date created Date added Peer reviewed? Patient-facing?
Results article 01/02/2024 27/05/2025 Yes No

Editorial Notes

27/05/2025: Publication reference added.
11/05/2023: Trial's existence confirmed by Ethikkommission Ärztekammer Sachsen-Anhalt.