In Vivo Assessment of Neurodegeneration in Type C Niemann-Pick Disease by IDEAL-IQ

Korean J Radiol. 2018 Jan-Feb;19(1):93-100. doi: 10.3348/kjr.2018.19.1.93. Epub 2018 Jan 2.

Abstract

Objective: To noninvasively assess the neurodegenerative changes in the brain of patients with Niemann-Pick type C (NPC) disease by measuring the lesion tissue with the iterative decomposition of water and fat with echo asymmetry and least square estimation-iron quantification (IDEAL-IQ).

Materials and methods: Routine brain MRI, IDEAL-IQ and 1H-proton magnetic resonance spectroscopy (1H-MRS, served as control) were performed on 12 patients with type C Niemann-Pick disease (4 males and 8 females; age range, 15-61 years; mean age, 36 years) and 20 healthy subjects (10 males and 10 females; age range, 20-65 years; mean age, 38 years). The regions with lesion and the normal appearing regions (NARs) of patients were measured and analyzed based on the fat/water signal intensity on IDEAL-IQ and the lipid peak on 1H-MRS.

Results: Niemann-Pick type C patients showed a higher fat/water signal intensity ratio with IDEAL-IQ on T2 hyperintensity lesions and NARs (3.7-4.9%, p < 0.05 and 1.8-3.0%, p < 0.05, respectively), as compared to healthy controls (HCs) (1.2-2.3%). After treatment, the fat/water signal intensity ratio decreased (2.2-3.4%), but remained higher than in the HCs (p < 0.05). The results of the 1H-MRS measurements showed increased lipid peaks in the same lesion regions, and the micro-lipid storage disorder of NARs in NPC patients was detectable by IDEAL-IQ instead of 1H-MRS.

Conclusion: The findings of this study suggested that IDEAL-IQ may be useful as a noninvasive and objective method in the evaluation of patients with NPC; additionally, IDEAL-IQ can be used to quantitatively measure the brain parenchymal adipose content and monitor patient follow-up after treatment of NPC.

Keywords: Magnetic resonance imaging; Magnetic resonance spectroscopy; Neurodegeneration; Niemann-Pick type C disease.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Brain / diagnostic imaging*
  • Case-Control Studies
  • Fats / chemistry
  • Female
  • Humans
  • Image Processing, Computer-Assisted
  • Iron / analysis*
  • Least-Squares Analysis
  • Male
  • Middle Aged
  • Niemann-Pick Disease, Type C / diagnosis*
  • Niemann-Pick Disease, Type C / diagnostic imaging
  • Proton Magnetic Resonance Spectroscopy
  • Retrospective Studies
  • Water / chemistry
  • Young Adult

Substances

  • Fats
  • Water
  • Iron