- ICH GCP
- Registro de ensaios clínicos dos EUA
- Ensaio Clínico NCT05480995
Avaliação da Endometriose com 18F-fluorofuranilnorprogesterona PET/MRI
Avaliação da endometriose com 18F-fluorofuranilnorprogesterona Tomografia por emissão de pósitrons por ressonância magnética (PET / MRI)
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.
Visão geral do estudo
Status
Condições
Intervenção / Tratamento
Tipo de estudo
Inscrição (Real)
Estágio
- Fase 2
Contactos e Locais
Locais de estudo
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North Carolina
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Chapel Hill, North Carolina, Estados Unidos, 27599
- University of North Carolina at Chapel Hill
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-
Critérios de participação
Critérios de elegibilidade
Idades elegíveis para estudo
Aceita Voluntários Saudáveis
Gêneros Elegíveis para o Estudo
Descrição
Inclusion Criteria
- Age 18 or older
- Female of childbearing age (18-55 years)
- Clinically suspected (symptomatic) endometriosis as defined by referring physician (this would also include endometriomas as other disease may be present).
- Scheduled for planned operative laparoscopy with no hormone treatment for at least two cycles
- Able to provide informed consent
Exclusion Criteria
- Male
- Institutionalized subject (prisoner or nursing home patient)
- Known history of breast, ovarian or endometrial cancer.
- Pregnant or breast-feeding women
- Chronic progestin-containing medications or Gonadotropin-releasing hormone (GnRH) analogues in the last 10-16 days (or 2 cycles in the case of GnRH analogues as these are dosed monthly) or inability to discontinue these medications
- Allergy to gadolinium contrast or Glomerular Filtration Rate (GFR) below 30 ml/min.
Plano de estudo
Como o estudo é projetado?
Detalhes do projeto
- Finalidade Principal: Diagnóstico
- Alocação: N / D
- Modelo Intervencional: Atribuição de grupo único
- Mascaramento: Nenhum (rótulo aberto)
Armas e Intervenções
Grupo de Participantes / Braço |
Intervenção / Tratamento |
|---|---|
|
Experimental: 18F-fluorofuranylnorprogesterone PET / MRI
All enrolled subjects will receive the tracer and then have a PET/MRI scan. |
Subjects will receive a PET/MRI with 18F-fluorofuranylnorprogesterone tracer |
O que o estudo está medindo?
Medidas de resultados primários
Medida de resultado |
Descrição da medida |
Prazo |
|---|---|---|
|
Sensitivity of 18F-fluorofuranylnorprogesterone (FFNP) PET/MR for evaluating endometriosis
Prazo: 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. |
Upon completion of all study image data collection for all participants [approximately 1 year]
|
|
Specificity of 18F-fluorofuranylnorprogesterone (FFNP) PET/MR for evaluating endometriosis
Prazo: 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. |
Upon completion of all study image data collection for all participants [approximately 1 year]
|
Medidas de resultados secundários
Medida de resultado |
Descrição da medida |
Prazo |
|---|---|---|
|
Diagnostic accuracy of PET /MRI
Prazo: 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). |
Upon completion of all study image data collection for all participants [approximately 1 year]
|
|
Correlation of uptake values (SUV-max) with Endometriosis Health Profile (EHP-30) scale controlling for covariates
Prazo: 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. |
Upon completion of all study image data collection for all participants [approximately 1 year]
|
|
Correlation of uptake values (SUV-max) with pain level using a visual analog scale (VAS) controlling for covariates
Prazo: 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. |
Upon completion of all study image data collection for all participants [approximately 1 year]
|
Colaboradores e Investigadores
Patrocinador
Colaboradores
Investigadores
- Investigador principal: Jorge Oldan, MD, University of North Carolina, Chapel Hill
Datas de registro do estudo
Datas Principais do Estudo
Início do estudo (Real)
Conclusão Primária (Real)
Conclusão do estudo (Real)
Datas de inscrição no estudo
Enviado pela primeira vez
Enviado pela primeira vez que atendeu aos critérios de CQ
Primeira postagem (Real)
Atualizações de registro de estudo
Última Atualização Postada (Real)
Última atualização enviada que atendeu aos critérios de controle de qualidade
Última verificação
Mais Informações
Termos relacionados a este estudo
Termos MeSH relevantes adicionais
Outros números de identificação do estudo
- 22-1175
- 1P01HD106485-01 (Concessão/Contrato do NIH dos EUA)
Plano para dados de participantes individuais (IPD)
Planeja compartilhar dados de participantes individuais (IPD)?
Descrição do plano IPD
Deidentified individual data that supports the results will be shared beginning 9 to 36 months following publication provided the investigator who proposes to use the data has approval from an Institutional Review Board (IRB), Independent Ethics Committee (IEC), or Research Ethics Board (REB), as applicable, and executes a data use/sharing agreement with the University of North Carolina (UNC).
Prazo de Compartilhamento de IPD
Beginning 9 months after and continuing for 36 months following publication
Critérios de acesso de compartilhamento IPD
The investigator who proposes to use the data has approved IRB, IEC, or REB and an executed data use/sharing agreement with UNC.
Tipo de informação de suporte de compartilhamento de IPD
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