Evaluation of Endometriosis With 18F-fluorofuranylnorprogesterone PET / MRI
- 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
Not provided
Not provided
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description 18F-fluorofuranylnorprogesterone PET / MRI 18F-fluorofuranylnorprogesterone PET / MRI All enrolled subjects will receive the tracer and then have a PET/MRI scan.
- Primary Outcome Measures
Name Time Method Sensitivity of 18F-fluorofuranylnorprogesterone (FFNP) PET/MR for evaluating endometriosis Upon 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 endometriosis Upon 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
Name Time Method Diagnostic accuracy of PET /MRI Upon 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 covariates Upon 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 covariates Upon 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
🇺🇸Chapel Hill, North Carolina, United States