Endometriomas, Endometriosis
Conditions
Keywords
Endometriosis, Diagnosis, Spectroscopy, FTIR, Urine, Detection, Infrared
Brief summary
The goal of this study is to explore the use of mid-infrared spectroscopy (ATR-FTIR) as a detection tool for endometriosis in urine.
Detailed description
Endometriosis is a chronic gynecological disease that is considered debilitating and multifactorial. Its diagnosis is invasive and can be prolonged due to non-specific symptoms and erroneous or late investigations, which can lead to delays and impair the provision of adequate treatment. ATR-FTIR Spectroscopy is a non-invasive technique with the capability to identify the chemical composition and molecular changes of samples through its interaction with mid-infrared radiation. The aim of this work is to develop a rapid test for the detection of endometriosis in urine samples using spectroscopy and machine learning algorithms.
Interventions
DIAGNOSTIC_TESTFTIR spectroscopy analysis
ATR-FTIR Spectroscopy analysis combined with machine learning algorithms.
Sponsors
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Federal University of Espirito Santo
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
FEMALE
Age
18 Years to 55 Years
Healthy volunteers
No
Inclusion criteria
* Female * Pelvic pain complain
Exclusion criteria
* Age under 18 or above 55 * Lack of informed consent
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Spectroscopy Reliability (diagnostic metrics) | 1 year | The primary outcome is the evaluation of specificity, sensitivity and accuracy of the diagnostic. Acceptable diagnostic metrics must be comparable to MRI, which will demonstrate if spectroscopy can discriminate between negative and positive endometriosis patients. |
Countries
Brazil
Contacts
Primary ContactValerio G Barauna, PhD
Outcome results
None listed