Zhang Lihong, Xu Chongxin, Li Zhen, Sun Junding, Wang Xiaoli, Hou Beibei, Zhao Yingcheng
College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, China.
Department of Medical Imaging, Weifang Medical University, Weifang, China.
Quant Imaging Med Surg. 2023 Mar 1;13(3):1860-1873. doi: 10.21037/qims-22-420. Epub 2022 Dec 5.
Chemical exchange saturation transfer (CEST) is a promising method for the detection of biochemical alterations in cancers and neurological diseases. However, the sensitivity of the currently existing quantitative method for detecting ischemia needs further improvement.
To further improve the quantification of the CEST signal and enhance the CEST detection for ischemia, we used a quantitative analysis method that combines an inverse Z-spectrum analysis and a 5-pool Lorentzian fitting. Specifically, a 5-pool Lorentzian simulation was conducted with the following brain tissue parameters: water, amide (3.5 ppm), amine (2.2 ppm), magnetization transfer (MT), and nuclear Overhauser enhancement (NOE; -3.5 ppm). The parameters were first calculated offline and stored as the initial value of the Z-spectrum fitting. Then, the measured Z-spectrum with the peak value set to 0 was fitted via the stored initial value, which yielded the reference Z-spectrum. Finally, the difference between the inverse of the Z-spectrum and the inverse of the reference Z-spectrum was used as the CEST definite spectrum.
The simulation results demonstrated that the Z-spectra of the rat brain were well simulated by a 5-pool Lorentzian fitting. Further, the proposed method detected a larger difference than did either the saturation transfer difference or the 5-pool Lorentzian fitting, as demonstrated by simulations. According to the results of the cerebral ischemia rat model, the proposed method provided the highest contrast-to-noise ratio (CNR) between the contralateral and the ipsilateral striatum under various acquisition conditions. The results indicated that the difference of fitted amplitudes generated with a 5-pool Lorentzian fitting in amide at 3.5 ppm (6.04%±0.39%; 6.86%±0.39%) was decreased in a stroke lesion compared to the contralateral normal tissue. Moreover, the difference of the residual of inversed Z-spectra in which 5-pool Lorentzian fitting was used to calculate the reference Z-spectra ( ) amplitudes in amide at 3.5 ppm (13.83%±2.20%, 15.69%±1.99%) was reduced in a stroke lesion compared to the contralateral normal tissue.
is predominantly pH-sensitive and is suitable for detecting tissue acidosis following an acute stroke.
化学交换饱和转移(CEST)是一种检测癌症和神经疾病中生化改变的有前景的方法。然而,目前现有检测缺血的定量方法的灵敏度需要进一步提高。
为了进一步改善CEST信号的定量并增强对缺血的CEST检测,我们使用了一种结合反Z谱分析和五池洛伦兹拟合的定量分析方法。具体而言,使用以下脑组织参数进行五池洛伦兹模拟:水、酰胺(3.5 ppm)、胺(2.2 ppm)、磁化转移(MT)和核Overhauser增强(NOE;-3.5 ppm)。这些参数首先离线计算并存储为Z谱拟合的初始值。然后,将峰值设为0的测量Z谱通过存储的初始值进行拟合,从而得到参考Z谱。最后,将Z谱的倒数与参考Z谱的倒数之间的差值用作CEST确定谱。
模拟结果表明,大鼠脑的Z谱通过五池洛伦兹拟合得到了很好的模拟。此外,模拟表明,所提出的方法检测到的差异比饱和转移差异或五池洛伦兹拟合检测到的差异更大。根据脑缺血大鼠模型的结果,在所提出的方法在各种采集条件下,对侧和同侧纹状体之间提供了最高的对比噪声比(CNR)。结果表明,与对侧正常组织相比,中风病变中在3.5 ppm酰胺处用五池洛伦兹拟合产生的拟合幅度差异(6.04%±0.39%;6.86%±0.39%)降低。此外,与对侧正常组织相比,中风病变中在3.5 ppm酰胺处使用五池洛伦兹拟合计算参考Z谱( )幅度的反Z谱残差差异(13.83%±2.20%,15.69%±1.99%)减小。
主要对pH敏感,适用于检测急性中风后的组织酸中毒。