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Evaluation of Endometriosis With 18F-fluorofuranylnorprogesterone PET / MRI

Phase 2
Recruiting
Conditions
Endometriosis
Interventions
Drug: 18F-fluorofuranylnorprogesterone PET / MRI
Registration Number
NCT05480995
Lead Sponsor
University of North Carolina, Chapel Hill
Brief Summary

Purpose: The aim of this study is to assess the sensitivity and specificity of FFNP PET/MRI for diagnosis of endometriosis.

Participants: A total of 24 participants will be recruited from individuals with clinically suspected endometriosis.

Procedures (methods): This is a prospective, one arm, single center study of 24 subjects with clinically suspected endometriosis to demonstrate FFNP PET-MRI's clinical utility for diagnosis of endometriosis.

Detailed Description

Not available

Recruitment & Eligibility

Status
RECRUITING
Sex
Female
Target Recruitment
24
Inclusion Criteria

Not provided

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Exclusion Criteria

Not provided

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Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
18F-fluorofuranylnorprogesterone PET / MRI18F-fluorofuranylnorprogesterone PET / MRIAll enrolled subjects will receive the tracer and then have a PET/MRI scan.
Primary Outcome Measures
NameTimeMethod
Sensitivity of 18F-fluorofuranylnorprogesterone (FFNP) PET/MR for evaluating endometriosisUpon completion of all study image data collection for all participants [approximately 1 year]

The sensitivity of FFNP PET /MR is defined as the ability of readers (radiologists) to correctly detect endometriosis in patients who have endometriosis.

Specificity of 18F-fluorofuranylnorprogesterone (FFNP) PET/MR for evaluating endometriosisUpon completion of all study image data collection for all participants [approximately 1 year]

The specificity is similarly defined as the ability of readers to exclude endometriosis in patients who do not have it.

Secondary Outcome Measures
NameTimeMethod
Diagnostic accuracy of PET /MRIUpon completion of all study image data collection for all participants [approximately 1 year]

Diagnostic accuracy will be defined by the histologic presence of endometriosis at laparotomy or laparoscopy and/or by symptomatic improvement as defined surgically by the referring physician within 3 months of surgery (surgeon will make final determination).

Correlation of uptake values (SUV-max) with Endometriosis Health Profile (EHP-30) scale controlling for covariatesUpon completion of all study image data collection for all participants [approximately 1 year]

Diagnostic accuracy will be defined by the histologic presence of endometriosis at laparotomy or laparoscopy and/or by symptomatic improvement as defined surgically by the referring physician within 3 months of surgery (surgeon will make final determination). EHP-30 score is this is the arithmetic mean of 30 questions, each rated 0-100, about function and pain with endometriosis, where 0 indicates the best health status through to 100 worst health status. Scale scores for each scale are calculated from the total of the raw scores of each item in the scale divided by the maximum possible raw score of all the items in the scale, multiplied by 100. The investigators will implement a random effects linear regression model, modeling SUV-max as a function of EHP-30, while controlling for patient-level covariates (BMI, race, age). The investigators will include physician as a random effect to account for physician-level correlation.

Correlation of uptake values (SUV-max) with pain level using a visual analog scale (VAS) controlling for covariatesUpon completion of all study image data collection for all participants [approximately 1 year]

Diagnostic accuracy will be defined by the histologic presence of endometriosis at laparotomy or laparoscopy and/or by symptomatic improvement as defined surgically by the referring physician within 3 months of surgery (surgeon will make final determination). The pain intensity is assessed using a visual analogue scale (VAS), which is a horizontal line 100 mm in length. Subjects mark the VAS with a single vertical line to indicate their current pain level, with 0 mm representing "No Pain" and 100 mm representing "Worst Possible Pain". The investigators will implement a random effects linear regression model, modeling SUV-max as a function of the pain rating, while controlling for patient-level covariates (BMI, race, age). The investigators will include physician as a random effect to account for physician-level correlation.

Trial Locations

Locations (1)

University of North Carolina at Chapel Hill

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Chapel Hill, North Carolina, United States

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