Meeting Banner
Abstract #0586

Multimodal MR Assessment of Skeletal Muscle in Patients with Chronic Kidney Disease and Dialysis

Can Wu1,2, Qi Peng3, William Paredes4, Moriel Vandsburger5, and Matthew K. Abramowitz4
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Philips Healthcare, Andover, MA, United States, 3Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, United States, 4Department of Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, United States, 5Department of Bioengineering, University of California, Berkeley, Berkeley, CA, United States

Chronic kidney disease (CKD) is associated with reduced skeletal muscle mass, strength, and function, but a quantitative approach to systematically assess changes in skeletal muscle is lacking. The purpose of this study was to develop a multimodal MR method for quantitative assessment of skeletal muscle in patients with CKD compared to normal controls. The study revealed significant changes of T1ρ, intra- and extra-myocellular lipid ratio, ADC, and FA in CKD or dialysis patients. In addition, there was significant correlation between T1ρ and DTI biomarkers. These findings may provide new insights into the impaired skeletal muscle function in CKD patients.

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