Meeting Banner
Abstract #1812

Evaluating the potential of quantitative susceptibility mapping for detecting iron deposition in a rabbit model of renal fibrosis

Tingting Zha1, Wei Xing1, Jie Chen1, Liang Pan1, and Peng Wu2
1First People's Hospital of Changzhou, Changzhou, China, 2Philips Healthcare, Shanghai, China, Shanghai, China

Synopsis

Keywords: Small Animals, Quantitative Susceptibility mapping, iron deposition

Motivation: To investigate quantitative susceptibility mapping’s (QSM) potential in detecting iron deposition in renal fibrosis (RF) and iron deposition’s effect on QSM values in a rabbit model.

Goal(s): QSM can reliably detect longitudinal iron deposition in RF, offering a valuable complementary imaging marker for RF evaluation.

Approach: The dynamic changes of renal cortical and medullary signal with the progression of fibrosis were monitored by QSM, and the compensatory effect of the contralateral kidney was analyzed.

Results: QSM values of the renal cortex and medulla were moderately or strongly correlated with iron deposition in RF.

Impact: Different distributions of iron deposition between the cortex and medulla contribute to different QSM values, raising new possibilities in QSM applications for detecting iron deposition in RF. QSM offers a supplementary and promising imaging marker for evaluating RF.

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