Skip to content

The Clinical Application of Infrared Thermal Imaging Detecting Venous Thromboembolism

The Clinical Application of Infrared Thermal Imaging Detecting Venous Thromboembolism

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02552420
Enrollment
128
Registered
2015-09-17
Start date
2007-09-30
Completion date
2015-07-31
Last updated
2015-09-17

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

Conditions

Deep Venous Thrombosis

Keywords

infrared thermal imaging, deep venous thrombosis

Brief summary

The purpose of this study is to determine the effectiveness of infrared thermal imaging in adjunctive diagnostic screening for lower limb deep venous thrombosis (DVT).

Interventions

None listed

Sponsors

The First Affiliated Hospital of Guangzhou Medical University
Lead SponsorOTHER

Study design

Observational model
COHORT

Eligibility

Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
Yes

Inclusion criteria

1. Willing to participate in the trial and sign the informed consent form, 2. Aged: 18-75 years. They had been definitively diagnosed with venous thromboembolism, 3. The bed-rest immobilization time should be more than 72 hours, 4. Planing to gynecology operation, 5. The D dimer should be more than500 g • L-1, 6. There is no obvious symptoms of systemic infection two weeks before the test, 7. There is no trauma, infection, biopsy or puncture, hemorrhage and tumor in the corresponding detection site (chest and lower limbs), 8. There is no skin disease, heart, liver, kidney, gastrointestinal tract, hematopoietic system and mental, neurological has no serious diseases.

Exclusion criteria

1. Patients can not be good partners, 2. Doctors believe that there is any inappropriate situations.

Design outcomes

Primary

MeasureTime frameDescription
Using the Infrared Thermal Imaging to detecting Venous Thromboembolismup to 24 months① Different levels of pseudocode (white, red, pink, yellow, green, blue, black) representing related IRTI that corresponds to a color scale bar of low to high temperatures, so we can know disease's position, extent and severity by comparing with the difference of color distribution and shape in the thermal imaging. ②The intensity of thermal distribution is higher than normals (great than or equal 0.5 Celsius degree is unnoraml), the symmetry of thermal range is relatively increased (pixels over 0.5 \ 1.0-fold), the difference of spatial distribution of the thermal field and the difference of statistically analyze are related to the disease.

Outcome results

None listed

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