Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Transforming Non-Invasive Liver Disease Detection by MRE: The Hepatogram

Mayo Clinic · 2015
ClinicalTrials.gov · Datasets · License: Public Domain · 2015
Open Source ↗
fatty-livernaobesity
A variety of liver insults lead to pathological changes in liver architecture that culminate in cirrhosis. While invasive liver biopsy was required to detect cirrhosis, the development of magnetic resonance elastography (MRE) has revolutionized our ability to detect liver fibrosis through non-invasive means that involve measurement of liver stiffness. However, a number of pathological findings occur in liver in response to various insults that precede cirrhosis and are clinically important to identify such as steatosis associated with NASH, inflammation associated with viral hepatitis, and congestion associated with cardiac hepatopathy. Detection of such entities provides essential diagnostic, prognostic, and treatment information but yet is not available non-invasively. Recent murine studies from this group of investigators has identified that MRE technology can be adapted to non-invasively detect these conditions. Implementing this into the practice will transform it by obviating the need for invasive liver biopsies in patients suspected of having such forms of suspected liver disease. This will differentiate Mayo from other institutions where such technology is not available. An additional aim of this study is to examine the impact of obstructive sleep apnea (OSA) on the pathogenesis of nonalcoholic fatty liver disease (NAFLD), both common comorbidities of obesity. Recent evidence indicates a potential link between OSA and severity of NASH and fibrosis, but the mechanisms of OSA- associated hypoxia on liver disease progression in NAFLD is unclear. This study offers the unique opportunity to analyze this association, as the study population will undergo routine evaluation for OSA, as part as the preoperative work-up prior to bariatric surgery.
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

Record · ID 863577
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