Endometriosis and ATR-FTIR Spectroscopy
Detection of Endometriosis Using ATR-FTIR Spectroscopy
1 other identifier
interventional
600
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Sep 2022
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 15, 2022
CompletedFirst Submitted
Initial submission to the registry
May 14, 2024
CompletedFirst Posted
Study publicly available on registry
May 23, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 29, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
April 29, 2026
CompletedMay 29, 2024
May 1, 2024
3.6 years
May 14, 2024
May 26, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Spectroscopy Reliability (diagnostic metrics)
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.
1 year
Study Arms (1)
Pelvic Pain
EXPERIMENTALPatients 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.
Interventions
ATR-FTIR Spectroscopy analysis combined with machine learning algorithms.
Eligibility Criteria
You may qualify if:
- Female
- Pelvic pain complain
You may not qualify if:
- Age under 18 or above 55
- Lack of informed consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University Hospital Cassiano Antonio Moraes at Federal Univeristy Of Espírito Santo
Vitória, Espírito Santo, 29041-295, Brazil
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Valerio G Barauna, PhD
Universidade Federal do Espírito Santo
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
May 14, 2024
First Posted
May 23, 2024
Study Start
September 15, 2022
Primary Completion
April 29, 2026
Study Completion
April 29, 2026
Last Updated
May 29, 2024
Record last verified: 2024-05
Data Sharing
- IPD Sharing
- Will not share