Yinwei Ying, Dongdong Wang, Yajing Zhao, Kai Quan, Xuanxuan Li, Yuxi Xie, Nan Mei, Jie Chen, Zhuoying Ruan, Rong Xu, Guoqiang Ren, Ruibin Liu, Yin Wu, Yiping Lu, Bo Yin
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Comparisons were made between these four regions, high-/low-grade gliomas (HGGs/LGGs), and isocitrate dehydrogenase (IDH)-mutant/wild-type gliomas. Twenty-seven biopsy samples from glioblastomas and peritumoral regions were selected and traced back to the original images. Then, correlations between CEST effects, cellularity, and Ki-67 labeling index (LI) were assessed. An optimal cutoff value for the normalized ratios of QUASS APT (QUASS_rAPT) was generated.</p><p><strong>Statistical tests: </strong>Linear mixed models, t-test, receiver-operating characteristic analysis, and Pearson's correlation tests were used. The statistical significance was set at p ≤ 0.05.</p><p><strong>Results: </strong>QUASS_APT value decreased significantly from tumor solid area, edema, and CNAWM to WMH (3.887 ± 1.489, 2.556 ± 0.985, and 1.584 ± 0.462, respectively). QUASS_rAPT of solid tumor area differentiated LGGs from HGGs (1.878 ± 0.515 vs. 2.857 ± 1.026) and IDH-mutant gliomas from IDH wild-type gliomas (2.195 ± 0.769 vs. 2.875 ± 1.092). QUASS_rAPT strongly correlated with cell density and Ki-67 LI (r = 0.801 and 0.776). The optimal cutoff value of QUASS_rAPT was 1.300.</p><p><strong>Data conclusion: </strong>Compared to other CEST effects and apparent methods, QUASS_rAPT enhances glioma stratification and better reflects cell density and proliferative potential. 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Comparisons were made between these four regions, high-/low-grade gliomas (HGGs/LGGs), and isocitrate dehydrogenase (IDH)-mutant/wild-type gliomas. Twenty-seven biopsy samples from glioblastomas and peritumoral regions were selected and traced back to the original images. Then, correlations between CEST effects, cellularity, and Ki-67 labeling index (LI) were assessed. An optimal cutoff value for the normalized ratios of QUASS APT (QUASS_rAPT) was generated.</p><p><strong>Statistical tests: </strong>Linear mixed models, t-test, receiver-operating characteristic analysis, and Pearson's correlation tests were used. The statistical significance was set at p ≤ 0.05.</p><p><strong>Results: </strong>QUASS_APT value decreased significantly from tumor solid area, edema, and CNAWM to WMH (3.887 ± 1.489, 2.556 ± 0.985, and 1.584 ± 0.462, respectively). 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引用次数: 0
摘要
背景：准稳态（QUASS）算法提高了化学交换饱和转移（CEST）的可靠性，但其检测胶质瘤浸润的有效性尚不清楚。目的：评估表观CEST和QUASS CEST在胶质瘤浸润可视化和预测最佳切除范围（EOR）中的作用。研究类型：前瞻性。人群：成人型弥漫性胶质瘤患者72例（男性37例，49.57±14.76岁），健康志愿者24例（男性12例，48.71±14.23岁）。场强/序列：3t，快速自旋回声CEST。评估：计算实体瘤、水肿、胶质瘤患者对侧正常表观白质（CNAWM）和健康个体白质（WMH）的表观和QUASS CEST效应（酰胺质子转移[APT]、联合磁化转移和核过度增强以及2 ppm化学交换饱和转移峰）。比较了这四个区域，高/低级别胶质瘤（HGGs/LGGs）和异柠檬酸脱氢酶（IDH）突变型/野生型胶质瘤。27个来自胶质母细胞瘤和肿瘤周围区域的活检样本被选中并追溯到原始图像。然后，评估CEST效应、细胞度和Ki-67标记指数（LI）之间的相关性。得到了QUASS APT归一化比率的最佳截止值（QUASS_rAPT）。统计检验：采用线性混合模型、t检验、受者-工作特征分析、Pearson相关检验。p≤0.05为差异有统计学意义。结果：QUASS_APT值从肿瘤实区、水肿、CNAWM到WMH均显著降低（分别为3.887±1.489、2.556±0.985、1.584±0.462）。实体瘤面积的QUASS_rAPT区分LGGs和HGGs(1.878±0.515 vs. 2.857±1.026)，IDH突变型胶质瘤和IDH野生型胶质瘤（2.195±0.769 vs. 2.875±1.092）。QUASS_rAPT与细胞密度和Ki-67 LI呈强相关（r = 0.801和0.776）。QUASS_rAPT的最佳临界值为1.300。数据结论：与其他CEST效果和明显方法相比，QUASS_rAPT增强胶质瘤分层，更好地反映细胞密度和增殖潜能。QUASS_rAPT bbb1.30优化了胶质母细胞瘤的EOR预测。证据等级：2技术功效：第2阶段。
The Application of Quasi-Steady-State Chemical Exchange Saturation Transfer Imaging in the Visualization of Glioma Infiltration and the Optimal Extent of Resection Establishment.
Background: The quasi-steady-state (QUASS) algorithm improves chemical exchange saturation transfer (CEST) reliability, but its efficacy in detecting glioma infiltration is unclear.
Purpose: To assess apparent and QUASS CEST in visualizing glioma infiltration and predicting optimal extent-of-resection (EOR).
Assessment: Apparent and QUASS CEST effects (amide proton transfer [APT], combined magnetization transfer and nuclear overhauser enhancement and the 2-ppm chemical exchange saturation transfer peak) were calculated in solid tumor, edema, contralateral normal apparent white matter (CNAWM) in glioma patients, and white matter in healthy individuals (WMH). Comparisons were made between these four regions, high-/low-grade gliomas (HGGs/LGGs), and isocitrate dehydrogenase (IDH)-mutant/wild-type gliomas. Twenty-seven biopsy samples from glioblastomas and peritumoral regions were selected and traced back to the original images. Then, correlations between CEST effects, cellularity, and Ki-67 labeling index (LI) were assessed. An optimal cutoff value for the normalized ratios of QUASS APT (QUASS_rAPT) was generated.
Statistical tests: Linear mixed models, t-test, receiver-operating characteristic analysis, and Pearson's correlation tests were used. The statistical significance was set at p ≤ 0.05.
Results: QUASS_APT value decreased significantly from tumor solid area, edema, and CNAWM to WMH (3.887 ± 1.489, 2.556 ± 0.985, and 1.584 ± 0.462, respectively). QUASS_rAPT of solid tumor area differentiated LGGs from HGGs (1.878 ± 0.515 vs. 2.857 ± 1.026) and IDH-mutant gliomas from IDH wild-type gliomas (2.195 ± 0.769 vs. 2.875 ± 1.092). QUASS_rAPT strongly correlated with cell density and Ki-67 LI (r = 0.801 and 0.776). The optimal cutoff value of QUASS_rAPT was 1.300.
Data conclusion: Compared to other CEST effects and apparent methods, QUASS_rAPT enhances glioma stratification and better reflects cell density and proliferative potential. A QUASS_rAPT > 1.30 optimized EOR prediction in glioblastomas.
期刊介绍：
The Journal of Magnetic Resonance Imaging (JMRI) is an international journal devoted to the timely publication of basic and clinical research, educational and review articles, and other information related to the diagnostic applications of magnetic resonance.
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