ClinicalTrials.gov
public full text
Public Domain
Developing Hyperpolarized Gas MRI Signatures to Detect and Manage Acute Cellular Rejection
Lung transplantation (LT) is the only definitive therapy for many patients with end-stage lung diseases. The supply of donors' lungs is the biggest bottleneck to performing a lung transplant, and many patients die while waiting. Acute Cellular Rejection (ACR) is a significant risk factor for developing chronic allograft failure, a primary reason for death in this patient population. These observations highlight the importance of early diagnosis and management of ACR to prevent chronic graft failure. The preliminary results support the idea that Hyperpolarized Gas Magnetic Resonance Imaging has excellent potential to address this clinical gap. This study hypothesizes that optimized hyperpolarized gas magnetic resonance imaging (HGMRI) signatures can detect early pathophysiologic derangements in lung allografts consistent with ACR. This study also hypothesizes that the optimized HGMRI signatures will correlate with single-cell transcriptomic signatures that reflect dysregulated immune responses associated with ACR.
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
- Hyperpolarized 13C MRI to Predict Response in Pancreatic Cancer#905994
- Correlation of Lung Biopsy, BAL, and High Resolution CT Scan in Lung Transplantation#803656
- Lung Transplant Subjects Using 19F MRI#891346
- A Prospective, Cohort Study of Hyperpolarized 3He MRI in Chronic Obstructive Pulmonary Disease#879105
- Functional and Structural Lung Imaging in Chronic Obstructive Pulmonary Disease#1102424
Record · ID 856691
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