Literature DB >> 30635965

Direct comparison between apparent diffusion coefficient and macromolecular proton fraction as quantitative biomarkers of the human fetal brain maturation.

Alexandra M Korostyshevskaya1, Irina Yu Prihod'ko1, Andrey A Savelov1, Vasily L Yarnykh2,3.   

Abstract

BACKGROUND: Apparent diffusion coefficient (ADC) is known as a quantitative biomarker of prenatal brain maturation. Fast macromolecular proton fraction (MPF) mapping is an emerging method for quantitative assessment of myelination that was recently adapted to fetal MRI.
PURPOSE: To compare the capability of ADC and MPF to quantify the normal fetal brain development. STUDY TYPE: Prospective. POPULATION: Forty-two human fetuses in utero (gestational age [GA] = 27.7 ± 6.0, range 20-38 weeks). FIELD STRENGTH/SEQUENCE: 1.5 T; diffusion-weighted single-shot echo-planar spin-echo with five b-values for ADC mapping; spoiled multishot echo-planar gradient-echo with T1 , proton density, and magnetization transfer contrast weightings for single-point MPF mapping. ASSESSMENT: Two operators measured ADC and MPF in the medulla, pons, cerebellum, thalamus, and frontal, occipital, and temporal cerebral white matter (WM). STATISTICAL TESTS: Mixed repeated-measures analysis of variance (ANOVA) with the factors of pregnancy trimester and brain structure; Pearson correlation coefficient (r); Hotelling-Williams test to compare strengths of correlations.
RESULTS: From the 2nd to 3rd trimester, ADC significantly decreased in the thalamus and cerebellum (P < 0.005). MPF significantly increased in the medulla, pons, thalamus, and cerebellum (P < 0.005). Cerebral WM had significantly higher ADC and lower MPF compared with the medulla and pons in both trimesters. MPF (r range 0.83, 0.89, P < 0.001) and ADC (r range -0.43, -0.75, P ≤ 0.004) significantly correlated with GA and each other (r range -0.32, -0.60, P ≤ 0.04) in the medulla, pons, thalamus, and cerebellum. No significant correlations or distinctions between regions and trimesters were observed for cerebral WM (P range 0.1-0.75). Correlations with GA were significantly stronger for MPF compared with ADC in the medulla, pons, and cerebellum (Hotelling-Williams test, P < 0.003) and similar in the thalamus. Structure-averaged MPF and ADC values strongly correlated (r = 0.95, P < 0.001). DATA
CONCLUSION: MPF and ADC demonstrated qualitatively similar but quantitatively different spatiotemporal patterns. MPF appeared more sensitive to changes in the brain structures with prenatal onset of myelination. LEVEL OF EVIDENCE: 2 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2019;50:52-61.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  apparent diffusion coefficient; brain maturation; fetal MRI; macromolecular proton fraction; myelin

Year:  2019        PMID: 30635965      PMCID: PMC6579650          DOI: 10.1002/jmri.26635

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  11 in total

Review 1.  How to read a fetal magnetic resonance image 101.

Authors:  Ailish C Coblentz; Sara R Teixeira; David M Mirsky; Ann M Johnson; Tamara Feygin; Teresa Victoria
Journal:  Pediatr Radiol       Date:  2020-11-30

2.  Scan-Rescan Repeatability and Impact of B0 and B1 Field Nonuniformity Corrections in Single-Point Whole-Brain Macromolecular Proton Fraction Mapping.

Authors:  Vasily L Yarnykh; Alena A Kisel; Marina Y Khodanovich
Journal:  J Magn Reson Imaging       Date:  2019-11-18       Impact factor: 4.813

Review 3.  Imaging of fetal brain tumors.

Authors:  Patricia Cornejo; Tamara Feygin; Jennifer Vaughn; Cory M Pfeifer; Alexandra Korostyshevska; Mittun Patel; Dianna M E Bardo; Jeffrey Miller; Luis F Goncalves
Journal:  Pediatr Radiol       Date:  2020-11-30

4.  Data-Driven Retrospective Correction of B1 Field Inhomogeneity in Fast Macromolecular Proton Fraction and R1 Mapping.

Authors:  Vasily L Yarnykh
Journal:  IEEE Trans Med Imaging       Date:  2021-11-30       Impact factor: 10.048

5.  Multiparametric mapping in post-mortem perinatal MRI: a feasibility study.

Authors:  Amy R McDowell; Susan C Shelmerdine; Sara Lorio; Wendy Norman; Rod Jones; David W Carmichael; Owen J Arthurs
Journal:  Br J Radiol       Date:  2020-04-24       Impact factor: 3.039

6.  Myelin development in cerebral gray and white matter during adolescence and late childhood.

Authors:  Neva M Corrigan; Vasily L Yarnykh; Daniel S Hippe; Julia P Owen; Elizabeth Huber; T Christina Zhao; Patricia K Kuhl
Journal:  Neuroimage       Date:  2020-12-29       Impact factor: 6.556

7.  Quantitative Imaging of White and Gray Matter Remyelination in the Cuprizone Demyelination Model Using the Macromolecular Proton Fraction.

Authors:  Marina Khodanovich; Anna Pishchelko; Valentina Glazacheva; Edgar Pan; Andrey Akulov; Mikhail Svetlik; Yana Tyumentseva; Tatyana Anan'ina; Vasily Yarnykh
Journal:  Cells       Date:  2019-10-05       Impact factor: 6.600

Review 8.  Macromolecular Proton Fraction as a Myelin Biomarker: Principles, Validation, and Applications.

Authors:  Alena A Kisel; Anna V Naumova; Vasily L Yarnykh
Journal:  Front Neurosci       Date:  2022-02-09       Impact factor: 5.152

9.  Global hypomyelination of the brain white and gray matter in schizophrenia: quantitative imaging using macromolecular proton fraction.

Authors:  Liudmila P Smirnova; Vasily L Yarnykh; Daria A Parshukova; Elena G Kornetova; Arkadiy V Semke; Anna V Usova; Anna O Pishchelko; Marina Y Khodanovich; Svetlana A Ivanova
Journal:  Transl Psychiatry       Date:  2021-06-30       Impact factor: 6.222

10.  Long-term monitoring of chronic demyelination and remyelination in a rat ischemic stroke model using macromolecular proton fraction mapping.

Authors:  Marina Yu Khodanovich; Ilya L Gubskiy; Marina S Kudabaeva; Darya D Namestnikova; Alena A Kisel; Tatyana V Anan'ina; Yana A Tumentceva; Lilia R Mustafina; Vasily L Yarnykh
Journal:  J Cereb Blood Flow Metab       Date:  2021-06-09       Impact factor: 6.960

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