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題名 Short- and long-term quantitation reproducibility of brain metabolites in the medial wall using proton echo planar spectroscopic imaging
作者 蔡尚岳
Tsai, Shang-Yueh;Lin, Yi-Ru;Wang, Woan-Chyi;Niddam, David M.
貢獻者 應物所
關鍵詞 Glutamate;Glutamine;Cingulate;TE averaging;Sagittal 2D MRSI;PEPSI
日期 2012.11
上傳時間 9-Dec-2013 13:37:55 (UTC+8)
摘要 Proton echo planar spectroscopic imaging (PEPSI) is a fast magnetic resonance spectroscopic imaging (MRSI) technique that allows mapping spatial metabolite distributions in the brain. Although the medial wall of the cortex is involved in a wide range of pathological conditions, previous MRSI studies have not focused on this region. To decide the magnitude of metabolic changes to be considered significant in this region, the reproducibility of the method needs to be established. The study aims were to establish the short- and long-term reproducibility of metabolites in the right medial wall and to compare regional differences using a constant short-echo time (TE30) and TE averaging (TEavg) optimized to yield glutamatergic information. 2D sagittal PEPSI was implemented at 3 T using a 32 channel head coil. Acquisitions were repeated immediately and after approximately 2 weeks to assess the coefficients of variation (COV). COVs were obtained from eight regions-of-interest (ROIs) of varying size and location. TE30 resulted in better spectral quality and similar or lower quantitation uncertainty for all metabolites except glutamate (Glu). When Glu and glutamine (Gln) were quantified together (Glx) reduced quantitation uncertainty and increased reproducibility was observed for TE30. TEavg resulted in lowered quantitation uncertainty for Glu but in less reliable quantification of several other metabolites. TEavg did not result in a systematically improved short- or long-term reproducibility for Glu. The ROI volume was a major factor influencing reproducibility. For both short- and long-term repetitions, the Glu COVs obtained with TEavg were 5–8% for the large ROIs, 12–17% for the medium sized ROIs and 16–26% for the smaller cingulate ROIs. COVs obtained with TE30 for the less specific Glx were 3–5%, 8–10% and 10–15%. COVs for N-acetyl aspartate, creatine and choline using TE30 with long-term repetition were between 2–10%. Our results show that the cost of more specific glutamatergic information (Glu versus Glx) is the requirement of an increased effect size especially with increasing anatomical specificity. This comes in addition to the loss of sensitivity for other metabolites. Encouraging results were obtained with TE30 compared to other previously reported MRSI studies. The protocols implemented here are reliable and may be used to study disease progression and intervention mechanisms.
關聯 Neuroimage, 63(3), 1020-1029
資料類型 article
DOI http://dx.doi.org/10.1016/j.neuroimage.2012.07.039
dc.contributor 應物所en_US
dc.creator (作者) 蔡尚岳zh_TW
dc.creator (作者) Tsai, Shang-Yueh;Lin, Yi-Ru;Wang, Woan-Chyi;Niddam, David M.en_US
dc.date (日期) 2012.11en_US
dc.date.accessioned 9-Dec-2013 13:37:55 (UTC+8)-
dc.date.available 9-Dec-2013 13:37:55 (UTC+8)-
dc.date.issued (上傳時間) 9-Dec-2013 13:37:55 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/62305-
dc.description.abstract (摘要) Proton echo planar spectroscopic imaging (PEPSI) is a fast magnetic resonance spectroscopic imaging (MRSI) technique that allows mapping spatial metabolite distributions in the brain. Although the medial wall of the cortex is involved in a wide range of pathological conditions, previous MRSI studies have not focused on this region. To decide the magnitude of metabolic changes to be considered significant in this region, the reproducibility of the method needs to be established. The study aims were to establish the short- and long-term reproducibility of metabolites in the right medial wall and to compare regional differences using a constant short-echo time (TE30) and TE averaging (TEavg) optimized to yield glutamatergic information. 2D sagittal PEPSI was implemented at 3 T using a 32 channel head coil. Acquisitions were repeated immediately and after approximately 2 weeks to assess the coefficients of variation (COV). COVs were obtained from eight regions-of-interest (ROIs) of varying size and location. TE30 resulted in better spectral quality and similar or lower quantitation uncertainty for all metabolites except glutamate (Glu). When Glu and glutamine (Gln) were quantified together (Glx) reduced quantitation uncertainty and increased reproducibility was observed for TE30. TEavg resulted in lowered quantitation uncertainty for Glu but in less reliable quantification of several other metabolites. TEavg did not result in a systematically improved short- or long-term reproducibility for Glu. The ROI volume was a major factor influencing reproducibility. For both short- and long-term repetitions, the Glu COVs obtained with TEavg were 5–8% for the large ROIs, 12–17% for the medium sized ROIs and 16–26% for the smaller cingulate ROIs. COVs obtained with TE30 for the less specific Glx were 3–5%, 8–10% and 10–15%. COVs for N-acetyl aspartate, creatine and choline using TE30 with long-term repetition were between 2–10%. Our results show that the cost of more specific glutamatergic information (Glu versus Glx) is the requirement of an increased effect size especially with increasing anatomical specificity. This comes in addition to the loss of sensitivity for other metabolites. Encouraging results were obtained with TE30 compared to other previously reported MRSI studies. The protocols implemented here are reliable and may be used to study disease progression and intervention mechanisms.en_US
dc.format.extent 1455992 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Neuroimage, 63(3), 1020-1029en_US
dc.subject (關鍵詞) Glutamate;Glutamine;Cingulate;TE averaging;Sagittal 2D MRSI;PEPSIen_US
dc.title (題名) Short- and long-term quantitation reproducibility of brain metabolites in the medial wall using proton echo planar spectroscopic imagingen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1016/j.neuroimage.2012.07.039-
dc.doi.uri (DOI) http://dx.doi.org/10.1016/j.neuroimage.2012.07.039-