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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

The relationship between Aging and T1 relaxation time in deep gray matter: A voxel-based analysis / 深部灰白質における加齢とT1緩和時間の相関関係:ボクセルベース解析

Okubo, Gosuke 23 March 2017 (has links)
京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第20257号 / 医博第4216号 / 新制||医||1020(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 宮本 享, 教授 村井 俊哉, 教授 高橋 淳 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM
2

Deep and cortical gray matter volumetric of extremely low gestational age and full term newborn children at 9 to 11 years of age

Shao, Di 09 March 2017 (has links)
PURPOSE: Extremely low gestation age newborns (ELGANs) are at high risk for developmental brain abnormalities. This study is to determine deep and superficial gray matter volumetric abnormalities of ELGAN children and full term children at 9 to 11 years of age. METHODS: High-resolution magnetic resonance imaging (MRI) scans were obtained from 160 ELGAN children (70 males and 90 females) and 30 full term children (15 males and 15 females) using a dual-echo turbo spin-echo (DE-TSE) pulse sequence at 3.0T (or 1.5T at only one site). The DICOM MR images were processed with quantitative MRI algorithms programmed in Mathcad. The brain deep gray matter (dGM) was manually segmented; dGM and cortical gray matter (cGM) volumes were quantified using semi-automated clustering segmentation algorithms. RESULTS: ELGAN children had smaller deep gray matter volume (41.86 ± 7.42 ml) than full term children (49.24 ± 10.91 ml). Deep gray matter volumes of ELGAN children showed similar distribution range (SD = 7.42 ml) with the full term children (SD = 10.91 ml). About 83% of the ELGAN children had smaller deep gray matter volumes compared to the average volume of full term children at the same ages. Male children had smaller deep gray matter volumes in ELGAN (42.77 ± 7.09 ml) than in full term (51.74 ± 9.76 ml), but female children had similar deep gray matter volumes in ELGAN (41.14 ± 7.62 ml) with full term (44.27 ± 7.56 ml). Additionally, smaller deep gray matter volumes were observed more often in males (90%) than in females (65%). Cortical gray matter volumes of ELGAN children distributed from 345.60 to 1177.50ml. Moreover, female ELGAN children had smaller cortical gray matter volumes (828.14 ± 147.61 ml) than males (883.13 ± 151.34 ml). Correlation analysis revealed a positive correlation between cerebral deep gray matter volumes and total gray matter volumes (total: r = 0.57, p<0.0001; male: r = 0.542, p < 0.0001; female: r = 0.587, p < 0.0001). CONCLUSION: Male ELGAN children had smaller brain deep gray matter volumes than full term children at ages of 9 to 11 years, but not females. Cortical gray matter volumes of female ELGAN were smaller than male ELGAN. Smaller deep gray matter volumes were associated with smaller total gray matter volumes in ELGAN children.

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