In Vivo Renal Lipid Quantification by Accelerated Magnetic Resonance Spectroscopic Imaging at 3T: Feasibility and Reliability Study

• Published in: Metabolites Vol. 12; no. 5; p. 386
• Main Authors: Alhulail, Ahmad A, Servati, Mahsa, Ooms, Nathan, Akin, Oguz, Dincer, Alp, Thomas, M Albert, Dydak, Ulrike, Emir, Uzay E
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 23-04-2022; MDPI
• Subjects: Biomarkers; Diabetes; fast MRSI; Fatty acids; Feasibility studies; kidney; Kidneys; lipid; Lipids; Magnetic resonance imaging; Magnetic resonance spectroscopy; Metabolites; Methods; renal; Spatial discrimination; Spectrum analysis; Tumors; renal; kidney; fast MRSI; lipid
• ISSN: 2218-1989; 2218-1989
• DOI: 10.3390/metabo12050386

A reliable and practical renal-lipid quantification and imaging method is needed. Here, the feasibility of an accelerated MRSI method to map renal fat fractions (FF) at 3T and its repeatability were investigated. A 2D density-weighted concentric-ring-trajectory MRSI was used for accelerating the acquisition of 48 × 48 voxels (each of 0.25 mL spatial resolution) without respiratory navigation implementations. The data were collected over 512 complex-FID timepoints with a 1250 Hz spectral bandwidth. The MRSI sequence was designed with a metabolite-cycling technique for lipid-water separation. The in vivo repeatability performance of the sequence was assessed by conducting a test-reposition-retest study within healthy subjects. The coefficient of variation (CV) in the estimated FF from the test-retest measurements showed a high degree of repeatability of MRSI-FF (CV = 4.3 ± 2.5%). Additionally, the matching level of the spectral signature within the same anatomical region was also investigated, and their intrasubject repeatability was also high, with a small standard deviation (8.1 ± 6.4%). The MRSI acquisition duration was ~3 min only. The proposed MRSI technique can be a reliable technique to quantify and map renal metabolites within a clinically acceptable scan time at 3T that supports the future application of this technique for the non-invasive characterization of heterogeneous renal diseases and tumors.