Feasibility of quantitative susceptibility mapping (QSM) of the human kidney View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2020-11-24

AUTHORS

Eric Bechler, Julia Stabinska, Thomas Thiel, Jonas Jasse, Romans Zukovs, Birte Valentin, Hans-Jörg Wittsack, Alexandra Ljimani

ABSTRACT

ObjectiveTo evaluate the feasibility of in-vivo quantitative susceptibility mapping (QSM) of the human kidney.MethodsAn axial single-breath-hold 3D multi-echo sequence (acquisition time 33 s) was completed on a 3 T-MRI-scanner (Magnetom Prisma, Siemens Healthineers, Erlangen, Germany) in 19 healthy volunteers. Graph-cut-based unwrapping combined with the T2*-IDEAL approach was performed to remove the chemical shift of fat and to quantify QSM of the upper abdomen. Mean susceptibility values of the entire, renal cortex and medulla in both kidneys and the liver were determined and compared. Five subjects were measured twice to examine the reproducibility. One patient with severe renal fibrosis was included in the study to evaluate the potential clinical relevance of QSM.ResultsQSM was successful in 17 volunteers and the patient with renal fibrosis. Anatomical structures in the abdomen were clearly distinguishable by QSM and the susceptibility values obtained in the liver were comparable to those found in the literature. The results showed a good reproducibility. Besides, the mean renal QSM values obtained in healthy volunteers (0.04 ± 0.07 ppm for the right and − 0.06 ± 0.19 ppm for the left kidney) were substantially higher than that measured in the investigated fibrotic kidney (− 0.43 ± − 0.02 ppm).ConclusionQSM of the human kidney could be a promising approach for the assessment of information about microscopic renal tissue structure. Therefore, it might further improve functional renal MR imaging. More... »

PAGES

389-397

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10334-020-00895-9

DOI

http://dx.doi.org/10.1007/s10334-020-00895-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1132861832

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/33230656


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