Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.
Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Magn Reson Imaging. 2023 Feb;96:50-59. doi: 10.1016/j.mri.2022.11.008. Epub 2022 Nov 18.
To evaluate the performance of different chemical exchange saturation transfer (CEST) metrics for grading gliomas with semiautomatically defined regions of interest (ROIs).
Thirty-eight adult subjects were included, including 23 high-grade gliomas and 15 low-grade gliomas confirmed by histopathology. The B0-corrected CEST z-spectra were first calculated with magnetization transfer ratio asymmetry (MTR) analysis at frequency offsets of 3.5, 3, 2.5, 2, 1.5, and 1 ppm to obtain the fit-free metrics and subsequently fitted with three Lorentzian functions denoting direct water saturation (DS), amide proton transfer (APT), and combined semisolid magnetization transfer and nuclear Overhauser enhancement (MT & NOE) effects to derive the fit-based metrics. Wilcoxon rank-sum test was performed to determine if a statistically significant difference was present in the CEST metrics between low- and high-grade gliomas. Receiver operating characteristic (ROC) curves were used to evaluate the differentiation of CEST metrics between low- and high-grade gliomas. Pearson correlation coefficients were employed to evaluate the correlations of CEST metrics.
For the fit-free metrics, the highest areas under the curve (AUCs) of 0.85, 0.88, and 0.88, corresponding to MTR, MTR (normalization by the reference scan), and MTR (subtraction of inverse z-spectra), respectively, were obtained at 3 ppm across various frequency offsets. In addition, the AUCs generated from the fit-based metrics (0.88-0.90) were higher than those generated from the fit-free metrics at 3 ppm.
The results of this preliminary study indicate that fit-free CEST metrics at 3 ppm are superior to the other frequency offsets for grading human brain gliomas. The fit-based metrics manifested improved differentiation between low- and high-grade gliomas compared to the fit-free CEST metrics.
评估半自动感兴趣区(ROI)定义下不同化学交换饱和转移(CEST)指标在胶质瘤分级中的性能。
共纳入 38 例成年患者,包括 23 例高级别胶质瘤和 15 例低级别胶质瘤,这些患者均经组织病理学证实。首先,在频率偏移为 3.5、3、2.5、2、1.5 和 1 ppm 处,利用磁化转移率不对称性(MTR)分析计算 B0 校正的 CEST z 谱,以获得无拟合指标,随后用三个洛伦兹函数拟合,以表示直接水饱和(DS)、酰胺质子转移(APT)和结合半固态磁化转移和核奥弗豪瑟增强(MT & NOE)效应,以获得拟合指标。采用 Wilcoxon 秩和检验确定低级别和高级别胶质瘤之间 CEST 指标是否存在统计学差异。利用受试者工作特征(ROC)曲线评估 CEST 指标在低级别和高级别胶质瘤之间的区分能力。采用 Pearson 相关系数评估 CEST 指标之间的相关性。
对于无拟合指标,在各个频率偏移下,在 3 ppm 处,MTR(参考扫描归一化)和 MTR(逆 z 谱相减)的曲线下面积(AUC)最高,分别为 0.85、0.88 和 0.88。此外,在 3 ppm 时,基于拟合的指标生成的 AUC(0.88-0.90)高于无拟合的指标。
本初步研究结果表明,3 ppm 处的无拟合 CEST 指标在胶质瘤分级方面优于其他频率偏移。与无拟合 CEST 指标相比,基于拟合的指标在低级别和高级别胶质瘤之间的区分能力有所提高。