pH Mapping of Gliomas Using Quantitative Chemical Exchange Saturation Transfer MRI : Quasi-Steady-State, Spillover-, and MT-Corrected Omega Plot Analysis
© 2024 International Society for Magnetic Resonance in Medicine..
BACKGROUND: Quantitative in-situ pH mapping of gliomas is important for therapeutic interventions, given its significant association with tumor progression, invasion, and metastasis. Although chemical exchange saturation transfer (CEST) offers a noninvasive way for pH imaging based on the pH-dependent exchange rate (ksw ), the reliable quantification of ksw in glioma remains constrained due to technical challenges.
PURPOSE: To quantify the pH of gliomas by measuring the proton exchange rate through optimized omega plot analysis.
STUDY TYPE: Prospective.
PHANTOMS/ANIMAL MODEL/SUBJECTS: Creatine and murine brain lysates phantoms, six rats with glioma xenograft model, and three patients with World Health Organization grade 2-4 gliomas.
FIELD STRENGTH/SEQUENCE: 11.7 T, 7.0 T, CEST imaging, T2 -weighted (T2 W) imaging, and T1 -mapping.
ASSESSMENT: Omega plot analysis, quasi-steady-state (QUASS) analysis, multi-pool Lorentzian fitting, amine and amide concentration-independent detection, pH enhanced method with the combination of amide and guanidyl (pHenh ), and magnetization transfer ratio (MTR) were utilized for pH metric quantification. The clinical outcomes were determined through radiologic follow-up and histopathological analysis.
STATISTICAL TESTS: Mann-Whitney U test was performed to compare glioma with normal tissue, and Pearson's correlation analysis was used to assess the relationship between ksw and other parameters.
RESULTS: In vitro experiments reveal that the determined ksw at 2 ppm increases exponentially with pH (creatine phantoms: ksw = 106 + 0.147 × 10(pH-4.198) ; lysates: ksw = 185.1 + 0.101 × 10(pH-3.914) ). Omega plot analysis exhibits a linear correlation between 1/MTRRex and 1/ω1 2 in the glioma xenografts (R2 > 0.98) and glioma patients (R2 > 0.99). The exchange rate in the rat glioma decreases compared to the contralateral normal tissue (349.46 ± 30.40 s-1 vs. 403.54 ± 51.01 s-1 , P = 0.025), while keeping independence from changes in concentration (r = 0.5037, P = 0.095). Similar pattern was observed in human data.
DATA CONCLUSION: Utilizing QUASS-based, spillover-, and MT-corrected omega plot analysis for the measurement of exchange rates, offers a feasible method for quantifying pH within glioma.
LEVEL OF EVIDENCE: NA TECHNICAL EFFICACY: Stage 1.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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| Enthalten in: |
Journal of magnetic resonance imaging : JMRI - (2024) vom: 18. Jan. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Liu, Ying [VerfasserIn] |
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Date Revised 18.01.2024 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.1002/jmri.29241 |
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| PPN (Katalog-ID): |
NLM367273047 |
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| 100 | 1 | |a Liu, Ying |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a pH Mapping of Gliomas Using Quantitative Chemical Exchange Saturation Transfer MRI |b Quasi-Steady-State, Spillover-, and MT-Corrected Omega Plot Analysis |
| 264 | 1 | |c 2024 | |
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| 500 | |a Date Revised 18.01.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status Publisher | ||
| 520 | |a © 2024 International Society for Magnetic Resonance in Medicine. | ||
| 520 | |a BACKGROUND: Quantitative in-situ pH mapping of gliomas is important for therapeutic interventions, given its significant association with tumor progression, invasion, and metastasis. Although chemical exchange saturation transfer (CEST) offers a noninvasive way for pH imaging based on the pH-dependent exchange rate (ksw ), the reliable quantification of ksw in glioma remains constrained due to technical challenges | ||
| 520 | |a PURPOSE: To quantify the pH of gliomas by measuring the proton exchange rate through optimized omega plot analysis | ||
| 520 | |a STUDY TYPE: Prospective | ||
| 520 | |a PHANTOMS/ANIMAL MODEL/SUBJECTS: Creatine and murine brain lysates phantoms, six rats with glioma xenograft model, and three patients with World Health Organization grade 2-4 gliomas | ||
| 520 | |a FIELD STRENGTH/SEQUENCE: 11.7 T, 7.0 T, CEST imaging, T2 -weighted (T2 W) imaging, and T1 -mapping | ||
| 520 | |a ASSESSMENT: Omega plot analysis, quasi-steady-state (QUASS) analysis, multi-pool Lorentzian fitting, amine and amide concentration-independent detection, pH enhanced method with the combination of amide and guanidyl (pHenh ), and magnetization transfer ratio (MTR) were utilized for pH metric quantification. The clinical outcomes were determined through radiologic follow-up and histopathological analysis | ||
| 520 | |a STATISTICAL TESTS: Mann-Whitney U test was performed to compare glioma with normal tissue, and Pearson's correlation analysis was used to assess the relationship between ksw and other parameters | ||
| 520 | |a RESULTS: In vitro experiments reveal that the determined ksw at 2 ppm increases exponentially with pH (creatine phantoms: ksw = 106 + 0.147 × 10(pH-4.198) ; lysates: ksw = 185.1 + 0.101 × 10(pH-3.914) ). Omega plot analysis exhibits a linear correlation between 1/MTRRex and 1/ω1 2 in the glioma xenografts (R2 > 0.98) and glioma patients (R2 > 0.99). The exchange rate in the rat glioma decreases compared to the contralateral normal tissue (349.46 ± 30.40 s-1 vs. 403.54 ± 51.01 s-1 , P = 0.025), while keeping independence from changes in concentration (r = 0.5037, P = 0.095). Similar pattern was observed in human data | ||
| 520 | |a DATA CONCLUSION: Utilizing QUASS-based, spillover-, and MT-corrected omega plot analysis for the measurement of exchange rates, offers a feasible method for quantifying pH within glioma | ||
| 520 | |a LEVEL OF EVIDENCE: NA TECHNICAL EFFICACY: Stage 1 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a CEST | |
| 650 | 4 | |a exchange rate | |
| 650 | 4 | |a glioma | |
| 650 | 4 | |a omega plot | |
| 650 | 4 | |a pH | |
| 700 | 1 | |a Wu, Yin |e verfasserin |4 aut | |
| 700 | 1 | |a Ji, Yang |e verfasserin |4 aut | |
| 700 | 1 | |a Zhao, Botao |e verfasserin |4 aut | |
| 700 | 1 | |a Jin, Ziyi |e verfasserin |4 aut | |
| 700 | 1 | |a Ju, Shenghong |e verfasserin |4 aut | |
| 700 | 1 | |a Chu, Ying-Hua |e verfasserin |4 aut | |
| 700 | 1 | |a Liebig, Patrick Alexander |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, He |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Cong |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Xiao-Yong |e verfasserin |4 aut | |
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