ClinicalTrials.gov
public full text
Public Domain
Siemens Biomarker Multi-modality
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.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Non-isotope Based Imaging Modalities vs Technetium-99m Single-Photon Emission Computed Tomography(99mTcSPECT)#870316
- Fontan Associated Liver Disease and the Evaluation of Biomarkers for Disease Severity Assessment#993117
- Integrated Imaging Strategy to Phenotype Progression of Liver Tumors During and After Chemoembolization#838478
- Comparison of 19g FNA and 19g FNB Needles for EUS-LB#1007481
- Follow-up Yttrium-90 Internal Pair Production PET/CT vs Brehmsstrahlung Imaging in Patients With Primary/Metastatic Liver Tumors#858744
Record · ID 858147
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive