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DeepView SnapShot Portable (DV-SSP): Device Training Study

DeepView SnapShot Portable (DV-SSP): Device Training Study

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05023135
Enrollment
251
Registered
2021-08-26
Start date
2021-09-07
Completion date
2023-04-30
Last updated
2024-03-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Burns, Wound Heal

Brief summary

The purpose of this study is to continue development and validation of an algorithm for burn healing assessment by the Spectral MD DeepView device and provide burn healing potential assessment.

Interventions

DV-SSP assistive imaging to collect observational data

Sponsors

SpectralMD
Lead SponsorINDUSTRY

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Willing and able to give informed consent or have a Legally Authorized Representative (LAR) able to do so; * Life expectancy \> 6 months; * Thermal burn mechanism (flame, scald, or contact); * The Study Burn(s) occurred less than 72 hours prior to the time of first imaging; and * Minimum burn wound size for adult or pediatric patients is 0.5% TBSA per region * For adult Subjects: Have 2 - 4 regions of their clinical burn(s) that meet the criteria for a Study Burn. * For pediatric Subjects: Have 1 - 4 regions of their clinical burn(s) that meet the criteria for a Study Burn

Exclusion criteria

* Burn pattern distribution isolated to head, face, neck, hands, feet, genitalia, and/or joints; * Subject has burns involving \> 50% total body surface area (TBSA); * Sepsis at the time of enrollment; * Immunosuppression/radiation/chemotherapy \< 3 months prior to enrollment; * Concurrent use of investigational products with a known effect on the burn sites; and/or * Any condition that in the opinion of the Investigator may prevent compliance with the study requirements or compromise subject safety.

Design outcomes

Primary

MeasureTime frameDescription
Predict area of severe burn, using measurement tools such as the Pearson Correlation Coefficient3 weeksTest that the Burn Segmentation Algorithm's predicted severe burn area (i.e., deep second degree and third degree) within an image of a burn injury, will be equivalent to the true area of severe burn as determined by the expert panel. The analysis for this study would only include data obtained from participants in the study.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026