RecruitingNot ApplicableNCT07495332

Siemens Biomarker Multi-modality

Sponsor

Duke University

Enrollment

45 participants

Start Date

Mar 27, 2026

Study Type

INTERVENTIONAL

Conditions

Fatty Liver Hepatic Steatosis

Summary

The purpose of this study is to see how well Photon Counting CT (PCCT) and ultrasound test results can find fat and scarring in the liver. They will be compared to MRI test results as the reference standard. Participants will get a regular CT scan on the PCCT scanner, plus a few extra pictures just for the study. They will also get an MRI, either on the same day or a different day, whichever is preferred. Participants will get an ultrasound on the same day as the MRI. If they have not had a hematocrit blood test in the past 24 hours, they will also receive one on the day of the CT scan.

Eligibility

Min Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying Magnetic Resonance Imaging (MRI), Photon-counting CT (PCCT), and others for people with fatty liver and hepatic steatosis. The study is currently recruiting participants at 1 location. People eligible for this study include aged 18 Years and older.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DIAGNOSTIC_TESTPhoton-counting CT (PCCT)

Photon-counting computed tomography (PCCT) is a next-generation imaging technology using advanced detectors that directly count individual X-ray photons and measure their energy, rather than integrating total energy like traditional CT.

DIAGNOSTIC_TESTUltrasound

Ultrasound is a safe, radiation-free imaging technique using high-frequency sound waves to visualize soft tissues, organs, and blood flow in real-time.

DIAGNOSTIC_TESTMagnetic Resonance Imaging (MRI)

MRI is a noninvasive, radiation-free medical imaging technique that uses powerful magnets and radio waves to generate detailed, high-resolution 3D images of soft tissues, organs, and bones.