ClinicalTrials.gov
public full text
Public Domain
Clinical Study on a New Diagnostic Strategy for Osteoporosis and Sarcopenia in Chronic Kidney Disease Patients Based on MRI-FF
This is a single-center, observational cohort study aiming to validate the diagnostic value of MRI-FF in identifying osteoporosis and sarcopenia in patients with chronic kidney disease (CKD). A total of 868 participants, including 434 CKD patients and 434 non-CKD controls, will be enrolled at Beijing Jishuitan Hospital. All subjects will undergo MRI-FF scans of the lumbar spine and thigh to assess bone mineral density and muscle fat fraction. The primary objective is to evaluate the correlation between MRI-FF parameters and conventional diagnostic criteria for osteoporosis and sarcopenia, as well as to determine the optimal cut-off values for early detection. The study duration is from March 2026 to December 2028.
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
- Renal MRI standardisation and clinical validation to improve personalised management of patients with chronic kidney disease#68519
- Multiparametric MRI in a Prospective Cohort of Living Kidney Donors, Recipients, and Healthy Controls: Correlations With Markers of Renal Function, Fibrosis and Ageing#1102668
- Chemical-Shift-Encoded MRI for Active Bone Marrow Dosimetry in Radiopharmaceutical Therapy#980747
- Assessment of Renal Physiology by Magnetic Resonance Imaging (MRI) in Normal Volunteers#903605
- Renal Functional Magnetic Resonance Imaging in Healthy Persons - Reproducibility and Impact of Stress#1031247
Record · ID 1094968
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