Understanding Liver Cirrhosis with Ga-PSMA-11 PET/MRI
This study is looking at how well a special imaging technique, called Ga-PSMA-11 PET/MRI, can assess liver cirrhosis (scarring of the liver). Researchers want to see if this imaging can help understand changes in the liver, including blood flow and how well the liver is working. You would receive an injection of a gadolinium contrast agent (like Gadavist, Eovist, or Dotarem) and a radiotracer called Ga-PSMA-11 (Illucix) before having PET and MRI scans. The study aims to enroll 45 people aged 18 to 99 who have been diagnosed with liver cirrhosis. The main goal is to see how well Ga-PSMA-PET/MRI can help classify liver conditions.
- Study design
- This is an observational study, meaning researchers will observe and collect information without assigning specific treatments. It plans to enroll 45 participants.
- What's involved
- You would receive injections of a gadolinium contrast agent and Ga-PSMA-11, followed by PET and MRI scans. An intravenous catheter will be placed for the Ga-PSMA-11 injection.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary outcome, assessment of LI-RADS, is measured at 1-2 months.
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Value of [68Ga]Ga-PSMA-11 PET/MRI in the Assessment of Liver Cirrhosis
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Onofrio Catalano · PRINCIPAL_INVESTIGATOR · [email protected]
Who to contact
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Do you actually qualify for this trial?
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Inclusion
Exclusion
What this trial measures
- Assessment of LI-RADS with Ga-PSMA-PET/MRI1-2 Months
PET, MRI, and fused PET/MRI images will be evaluated to determine the effect of contrast-enhanced Ga-PSMA/PETMRI on evaluating liver nodules. Images will be evaluated at least 4 weeks apart from each other to reduce recall bias. Each lesion described by the readers of the imaging modalities will then be classified accordingly into true positive, false positive, true negative, or false negative. Sensitivity, specificity, accuracy, positive predictive value, and negative predictive value will then be computed using adequate proportions as estimates.