The purpose of this study is to confirm the safety and efficacy of ThinkSono Guidance, a software data collection and communication tool designed to collect ultrasound data to help detect blood clots in veins. The ThinkSono system is CE Mark approved in the European Union and in clinical use in Europe. Usually, when an ultrasound is conducted to detect blood clots in veins, a sonographer (trained technologist who conducts ultrasounds) and/or radiologist will conduct the procedure, including a compression ultrasound exam, and the scan may require a bulky cart and ultrasound equipment. ThinkSono Guidance is a mobile software application that enables other healthcare professionals such as nurses, non-radiologist physicians including general practitioners, and other allied healthcare professionals to perform the ultrasound at the point of care using guidance from the software app. This is a multi-site non-randomized, double-blinded, prospective cohort pivotal study.
Deep vein thrombosis (DVT) is well recognized to cause significant morbidity and mortality both at the time of diagnosis and post-diagnosis. With an estimated incidence of 1- 2 per 1,000 people, over to 300,000 people in the US will be diagnosed with venous thromboembolism (VTE) per annum and two-thirds of these will be DVT. However, positive cases only represent 12-25% of the total number of patients who present with suspected DVT. In other words, between 75-88% of suspected DVT cases, when fully investigated, are negative. Estimates have placed the yearly cost of VTE to the US healthcare system at up to $10 billion. It is notoriously difficult to diagnose a DVT by clinical acumen alone. The standard approach to making a diagnosis of proximal DVT currently involves an algorithm combining pre-test probability assessment through the Wells score, and compression ultrasonography. Handheld ultrasound probes have recently become available. These probes have enabled 'app-based' compression ultrasonography to be performed without the need for bulky cart or laptop-based ultrasound machines. These new machines have a small form factor, meaning only the ultrasound probe is required for diagnostic purposes in conjunction with a smartphone or tablet. At present, although the new handheld probes are smaller and are better suited for point of care diagnosis, they still require an experienced radiologist or sonographer to perform the compression exam. This means that these devices can only be used wherever sonographers/radiologists are based most often i.e. hospital radiology departments. However, due to recent advances in "machine learning", software is now being developed for these 'app-based' probes that can assist non-radiology specialist healthcare professionals (e.g. nurses, non-radiologist physicians, general practitioners and other allied healthcare professionals) to carry out the compression ultrasound exam with minimal training. ThinkSono Guidance is a guidance software expected to help non-radiology specialist healthcare professionals produce compression ultrasound image data that meet or exceed the minimal image quality criteria for a remote diagnosis by an expert (e.g. radiologist). The ThinkSono system is CE Mark approved in the European Union and in clinical use in Europe. This study is a multi-site non-randomized, double-blinded, prospective cohort pivotal study. The purpose of this study is to confirm the safety and efficacy of ThinkSono Guidance as per the intended use defined as: ThinkSono Guidance is a guidance, data acquisition and communication tool that guides non-ultrasound-trained healthcare staff to collect point of care compression ultrasound data in the proximal deep venous system of the lower extremity for interpretation by qualified clinicians.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
634
The ThinkSono Guidance System is a guidance software expected to help non-radiology specialist healthcare professionals produce compression ultrasound image data that meet or exceed the minimal image quality criteria for a remote diagnosis by an expert (e.g. radiologist).
NYU Langone Health
New York, New York, United States
Temple Health
Philadelphia, Pennsylvania, United States
Allegheny Health Network
Pittsburgh, Pennsylvania, United States
South Texas Veterans Health System
San Antonio, Texas, United States
University of Wisconsin-Madison
Madison, Wisconsin, United States
Image Quality Adequacy
ThinkSono Guidance achieves adequate image quality with an American College of Emergency Physicians (ACEP) score equal to or greater than 3 in at least 60% of scans to show that non-ultrasound-trained operators can acquire relevant cine-loops (an expectation ≥75%, lower CI ≥60%). The ACEP score is a score on a scale of 1-5 assessing utilized as the national standard for image quality evaluation. Further information is available at: https://www.acep.org/siteassets/uploads/uploaded-files/acep/clinical-and-practice-management/policy-statements/information-papers/emergency-ultrasound-standard-reporting-guidelines---2018.pdf.
Time frame: Measured during ThinkSono Guidance scanning (median scan time of 5.4 minutes).
Triage Sensitivity
The sensitivity for overall triage performance for proximal DVT is at least 85%.
Time frame: Measured during ThinkSono Guidance scanning (median scan time of 5.4 minutes).
Triage Specificity
The specificity for overall triage performance for proximal DVT is at least 30%.
Time frame: Measured during ThinkSono Guidance scanning (median scan time of 5.4 minutes).
Prioritization Specificity
Prioritization specificity quantifies how reliably the system identifies patients who merit high-urgency imaging specialist assessment based on their ThinkSono scans. A high prioritization specificity means that there are very few false-positive scans that lead to patients being prioritized unnecessarily. Further details are available in the trial protocol and statistical analysis plan. ThinkSono Guidance achieves specificity for prioritizing patients of at least 93%. This means that at least 93% of scans without proximal lower extremity DVT were not labeled as false positives by reviewers of ThinkSono Guidance scans.
Time frame: Measured during ThinkSono Guidance scanning (median scan time of 5.4 minutes).
Predictive Values
To observe the negative-predictive-value and positive-predictive-value of ThinkSono Guidance triage performance.
Time frame: Measured during ThinkSono Guidance scanning (median scan time of 5.4 minutes).
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.