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Research ArticleBrain

Evaluation of Normal Changes in Pons Metabolites due to Aging Using Turbo Spectroscopic Imaging

A. Yang, X.h. Xiao and Z.l. Wang
American Journal of Neuroradiology November 2014, 35 (11) 2099-2105; DOI: https://doi.org/10.3174/ajnr.A4031
A. Yang
aFrom the Medical Imaging Center, Affiliated Zhongshan City Hospital of Sun Yat-sen University, Zhongshan City, Guangdong Province, China.
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X.h. Xiao
aFrom the Medical Imaging Center, Affiliated Zhongshan City Hospital of Sun Yat-sen University, Zhongshan City, Guangdong Province, China.
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Z.l. Wang
aFrom the Medical Imaging Center, Affiliated Zhongshan City Hospital of Sun Yat-sen University, Zhongshan City, Guangdong Province, China.
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  • Fig 1.
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    Fig 1.

    Positioning of the pons TSI scan and spectrum data processing. A, T2-weighted images show the placement of volumes of interest in the pons. The left side is sagittal, and the right side is transversal. The TSI was positioned parallel to the frontal cranial fossa. Note that the box is the signal-generating area. B, The upper row of images shows the region-of-interest selection area, and the lower image shows the reconstructed average metabolite ratios of the region of interest.

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    Fig 2.

    Proton MR spectrum of the pons in subjects of different ages. A, Spectrum of a 1-month-old baby's pons. B, Spectrum of a 5-year-old boy's pons. C, Spectrum of a 63-year-old man's pons. Note the relatively high Cho and low NAA levels in the baby. There is a higher NAA level and a lower Cho level in the 5-year-old child compared with the baby. The Cho level is lower in the 63-year-old man compared with the 5-year-old child.

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    Fig 3.

    Scatterplot showing the metabolite changes in the pons with age. A, The scatterplot shows that NAA/Cr was low at birth, rose rapidly at 0–5 years, reaching a peak at approximately 10–20 years, and then gradually decreased. B, The Cho/Cr decreased rapidly at 0–5 years, then continued to decline, and was stable after 20 years of age. C, The Cho/NAA decreased rapidly at 0–5 years, then continued to decline, and finally rose after 20 years of age. Note that the curve-fitting model used is locally weighted scatterplot smoothing (LOESS), and the percentage of fitting points is 50%.

Tables

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    Table 1:

    Comparison of NAA/Cr among different age groups

    Age Groups (yr)MeanNo.P Value
    0–52.14 ± 0.2520.001,a <.001b
    6–201.90 ± 0.2015.468,c .261d
    21–501.85 ± 0.1921.665e
    Older than 501.82 ± 0.2022<.001f
    • ↵a Comparison between 0 to 5- and 6 to 20-year-old subjects.

    • ↵b Comparison between 0 to 5- and 21 to 50-year-old subjects.

    • ↵c Comparison between 6 to 20- and 21 to 50-year-old subjects.

    • ↵d Comparison between 6 to 20- and older than 50-year-old subjects.

    • ↵e Comparison between 21 to 50- and older than 50-year-old subjects.

    • ↵f Comparison between 0 to 5- and older than 50-year-old subjects.

    • View popup
    Table 2:

    Comparison of Cho/Cr among different age groups

    Age Groups (yr)MeanNo.P Value
    0–52.14 ± 0.25200.001,a <.001b
    6–201.90 ± 0.20150.468,c .261d
    21–501.85 ± 0.1921.665e
    Older than 501.82 ± 0.2022<.001f
    • ↵a Comparison between 0 to 5- and 6 to 20-year-old subjects.

    • ↵b Comparison between 0 to 5- and 21 to 50-year-old subjects.

    • ↵c Comparison between 6 to 20- and 21 to 50-year-old subjects.

    • ↵d Comparison between 6 to 20- and older than 50-year-old subjects.

    • ↵e Comparison between 21 to 50- and older than 50-year-old subjects.

    • ↵f Comparison between 0 to 5- and older than 50-year-old subjects.

    • View popup
    Table 3:

    Comparison of Cho/NAA among different age groups

    Age Groups (yr)Median/QuartileNo.P Value
    0–51.01/0.84–1.4320<.001,a <.001b
    6–200.63/0.60–0.6715.005,c <.001d
    21–500.70/0.65–0.7821.015e
    Older than 500.81/0.72–0.8622.001f
    • ↵a Comparison between 0 to 5- and 6 to 20-year-old subjects.

    • ↵b Comparison between 0 to 5- and 21 to 50-year-old subjects.

    • ↵c Comparison between 6 to 20- and 21 to 50-year-old subjects.

    • ↵d Comparison between 6 to 20- and older than 50-year-old subjects.

    • ↵e Comparison between 21 to 50- and older than 50-year-old subjects.

    • ↵f Comparison between 0 to 5- and older than 50-year-old subjects.

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American Journal of Neuroradiology: 35 (11)
American Journal of Neuroradiology
Vol. 35, Issue 11
1 Nov 2014
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Cite this article
A. Yang, X.h. Xiao, Z.l. Wang
Evaluation of Normal Changes in Pons Metabolites due to Aging Using Turbo Spectroscopic Imaging
American Journal of Neuroradiology Nov 2014, 35 (11) 2099-2105; DOI: 10.3174/ajnr.A4031

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Evaluation of Normal Changes in Pons Metabolites due to Aging Using Turbo Spectroscopic Imaging
A. Yang, X.h. Xiao, Z.l. Wang
American Journal of Neuroradiology Nov 2014, 35 (11) 2099-2105; DOI: 10.3174/ajnr.A4031
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