Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
600 participants
INTERVENTIONAL
2022-09-15
2026-04-29
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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Pelvic Pain
Patients referred to the gynecology outpatient clinic, with complain of pelvic pain. Positives and negatives for endometriosis will be outlined by an expert gynecologist according to the following criteria:
* Pelvic MRI (Magnetic Resonance Imaging) report;
* Gynecologic exam;
* Clinical symptoms and history;
The intervention is the use of the ATR-FTIR Spectrometer in patient's urine samples to develop and validate a tool for detecting endometriosis.
FTIR spectroscopy analysis
ATR-FTIR Spectroscopy analysis combined with machine learning algorithms.
Interventions
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FTIR spectroscopy analysis
ATR-FTIR Spectroscopy analysis combined with machine learning algorithms.
Eligibility Criteria
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Inclusion Criteria
* Pelvic pain complain
Exclusion Criteria
* Lack of informed consent
18 Years
55 Years
FEMALE
No
Sponsors
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Conselho Nacional de Desenvolvimento Científico e Tecnológico
OTHER_GOV
Federal University of Espirito Santo
OTHER
Responsible Party
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VALERIO GARRONE BARAUNA
Professor
Principal Investigators
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Valerio G Barauna, PhD
Role: PRINCIPAL_INVESTIGATOR
Universidade Federal do Espírito Santo
Locations
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University Hospital Cassiano Antonio Moraes at Federal Univeristy Of Espírito Santo
Vitória, Espírito Santo, Brazil
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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FTIR-ENDOMETRIOSIS
Identifier Type: -
Identifier Source: org_study_id
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