Fast 3D rosette spectroscopic imaging of neocortical abnormalities at 3 T: Assessment of spectral quality.

Fast 3D rosette spectroscopic imaging of neocortical abnormalities at 3 T: Assessment of spectral quality.
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DOI:
10.1002/mrm.26901
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发表时间:
2018-05
影响因子:
3.3
通讯作者:
Pan JW
Pan JW
中科院分区:
医学3区
文献类型:
--
作者:
Schirda CV;Zhao T;Yushmanov VE;Lee Y;Ghearing GR;Lieberman FS;Panigrahy A;Hetherington HP;Pan JW

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使用快速三维玫瑰花结光谱成像(RSI)采集定量评价光谱质量如何影响对照组中灰质和白色物质代谢物差异的内源性变化检测,并证明RSI如何检测新皮质异常患者的代谢功能障碍。在3 T MR扫描仪和32通道头部线圈上采集数据,RSI覆盖额顶颞叶的4cm厚。通过LCModel分析、Cramer-Rao下限(CRLB)和回归分析的标准误差评估采集参数和滤波对光谱质量和组织成分灵敏度的影响。优化的协议被用来产生规范的白色和灰质回归和评估三名患者的新皮质异常。作为检测异常的灵敏度的量度,Cr/NAA和Ch/NAA的回归的标准误差与CRLB值显著相关,R分别为0.89和0.92,均具有p<0.001。玫瑰花结采集持续时间为9.6 min,在整个切片上产生的NAA和Cr的平均CRLB(%)分别为4.6±2.6和5.8±2.3。这使得Cr/NAA标准误差为0.08,即,对于50/50混合的灰色和白色物质体素,检测灵敏度为25%。在健康对照组中,扣带回中的Cr/NAA与分数灰质的回归不同于额叶和顶叶区域。快速RSI采集和回归分析能够高效地识别大脑中央和皮层周边的4 cm厚片的代谢差异,产生与临床结果一致的结果。
To use a fast three-dimensional rosette spectroscopic imaging (RSI) acquisition to quantitatively evaluate how spectral quality influences detection of the endogenous variation of gray and white matter metabolite differences in controls, and demonstrate how RSI can detect metabolic dysfunction in patients with neocortical abnormalities. Data were acquired on a 3T MR scanner and 32-channel head coil, with RSI covering a 4 cm slab of fronto-parietal-temporal lobes. The influence of acquisition parameters and filtering on spectral quality and sensitivity to tissue composition was assessed by LCModel analysis, the Cramer-Rao lower bound (CRLB) and the standard errors from regression analyses. The optimized protocol was used to generate normative white and gray matter regressions and evaluate three patients with neocortical abnormalities. As a measure of the sensitivity to detect abnormalities, the standard errors of regression for Cr/NAA and Ch/NAA were significantly correlated with the CRLB values, R=0.89 and 0.92 respectively, both with p<0.001. The rosette acquisition with a duration of 9.6 min, produces a mean CRLB (%) over the entire slab of 4.6±2.6 and 5.8±2.3 for NAA and Cr respectively. This enables a Cr/NAA standard error of 0.08, i.e., detection sensitivity of 25% for a 50/50 mixed gray and white matter voxel. In healthy controls, the regression of Cr/NAA versus fraction gray matter in the cingulate differs from frontal and parietal regions. Fast RSI acquisitions with regression analyses are able to identify metabolic differences across 4 cm slabs of the brain centrally and over the cortical periphery with high efficiency, generating results that are consistent with clinical findings.
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