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Direct comparison between apparent diffusion coefficient and macromolecular proton fraction as quantitative biomarkers of the human fetal brain maturation.
Korostyshevskaya, Alexandra M; Prihod'ko, Irina Yu; Savelov, Andrey A; Yarnykh, Vasily L.
Afiliação
  • Korostyshevskaya AM; Institute "International Tomography Center" of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation.
  • Prihod'ko IY; Institute "International Tomography Center" of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation.
  • Savelov AA; Institute "International Tomography Center" of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation.
  • Yarnykh VL; University of Washington, Department of Radiology, Seattle, Washington, USA.
J Magn Reson Imaging ; 50(1): 52-61, 2019 07.
Article em En | MEDLINE | ID: mdl-30635965
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;5052-61.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diagnóstico Pré-Natal / Encéfalo / Mapeamento Encefálico / Imagem de Difusão por Ressonância Magnética Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Diagnóstico Pré-Natal / Encéfalo / Mapeamento Encefálico / Imagem de Difusão por Ressonância Magnética Idioma: En Ano de publicação: 2019 Tipo de documento: Article