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

Alhulail A. A., Servati M., Ooms N., Akin O., DİNÇER A., Thomas M. A., ...Daha Fazla

METABOLITES, cilt.12, sa.5, 2022 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 12 Sayı: 5
  • Basım Tarihi: 2022
  • Doi Numarası: 10.3390/metabo12050386
  • Dergi Adı: METABOLITES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, Chemical Abstracts Core, EMBASE, Directory of Open Access Journals
  • Anahtar Kelimeler: kidney, renal, lipid, fast MRSI, PROTON MR SPECTROSCOPY, CELL CARCINOMA, FATTY KIDNEY, CHEMICAL-SHIFT, DIAGNOSIS, OBESITY, TUMORS, LIVER
  • Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli: Evet

Özet

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 x 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 similar to 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.