Meeting Banner
Abstract #1023

In vivo resting state MRI of the kidney predicts the development of fibrosis after acute kidney injury, and correlates with nephron number

Edwin J Baldelomar1, Shella D Keilholz2, Jennifer R Charlton3, and Kevin M Bennett1
1Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States, 2Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States, 3Department of Pediatrics, University of Virginia, Charlottesville, VA, United States

Synopsis

Keywords: Kidney, Kidney, rsMRI, chronic kidney disease, Early detection

Motivation: Current clinical tools are insensitive to detect early changes in kidney structure and function during chronic kidney disease (CKD) progression.

Goal(s): Resting state MRI (rsMRI) has been proposed to detect and map spontaneous physiological fluctuations in the kidney. Here, we show rsMRI predicts CKD progression after acute kidney injury (AKI) and investigate its physiological mechanisms.

Approach: We compared rsMRI spectra with clinical metrics and pathologic assessment following mild AKI. We demonstrate that rsMRI is specifically sensitive to tubuloglomerular feedback and directly correlates with nephron number in healthy rats.

Results: rsMRI predicts CKD progression after AKI and reflects nephron number in vivo.

Impact: rsMRI of the kidney provides novel physiological biomarkers that may facilitate early detection of risk and progression of chronic kidney disease (CKD) after acute kidney injury (AKI).

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords