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The Clinical Application of Infrared Thermal Imaging Detecting Venous Thromboembolism

Completed
Conditions
Deep Venous Thrombosis
Registration Number
NCT02552420
Lead Sponsor
The First Affiliated Hospital of Guangzhou Medical University
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).

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
128
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.

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Using the Infrared Thermal Imaging to detecting Venous Thromboembolismup to 24 months

① 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.

Secondary Outcome Measures
NameTimeMethod
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