Volume 62, Issue 2 pp. 480-493
Research Article

The Application of Quasi-Steady-State Chemical Exchange Saturation Transfer Imaging in the Visualization of Glioma Infiltration and the Optimal Extent of Resection Establishment

Yinwei Ying

Yinwei Ying

Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China

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Dongdong Wang

Dongdong Wang

Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China

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Yajing Zhao

Yajing Zhao

Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China

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Kai Quan

Kai Quan

Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China

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Xuanxuan Li

Xuanxuan Li

Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China

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Yuxi Xie

Yuxi Xie

Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China

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Nan Mei

Nan Mei

Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China

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Jie Chen

Jie Chen

Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China

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Zhuoying Ruan

Zhuoying Ruan

Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China

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Rong Xu

Rong Xu

Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China

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Guoqiang Ren

Guoqiang Ren

Department of Pathology, Huashan Hospital, Fudan University, Shanghai, China

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Ruibin Liu

Ruibin Liu

Shanghai United Imaging Healthcare co., Ltd, Shanghai, China

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Yin Wu

Corresponding Author

Yin Wu

Paul C.Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

Correspondence:

Yin Wu ([email protected])

Yiping Lu ([email protected])

Bo Yin ([email protected])

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Yiping Lu

Corresponding Author

Yiping Lu

Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China

Correspondence:

Yin Wu ([email protected])

Yiping Lu ([email protected])

Bo Yin ([email protected])

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Bo Yin

Corresponding Author

Bo Yin

Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China

Correspondence:

Yin Wu ([email protected])

Yiping Lu ([email protected])

Bo Yin ([email protected])

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First published: 20 April 2025

Funding: This work was supported by the National Natural Science Foundation of China, 82281966. Science and Technology Innovation Action Plan of Shanghai Science and Technology Commission, 22S31905900.

Yinwei Ying, Yajing Zhao, Dongdong Wang and Kai Quan contributed equally to this work.

ABSTRACT

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).

Study Type

Prospective.

Population

72 adult-type diffuse glioma patients (37 males, 49.57 ± 14.76 years) and 24 healthy volunteers (12 males, 48.71 ± 14.23 years).

Fieldstrength/Sequence

3 T, fast spin-echo CEST.

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.

Evidence Level

2.

Technical Efficacy

Stage 2.

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