单次多参数MRI用于从动态葡萄糖增强对比中分离T2效应。

IF 13.3 1区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL
Theranostics Pub Date : 2025-08-30 eCollection Date: 2025-01-01 DOI:10.7150/thno.116483
Junxian Jin, Haizhen Ding, Zhekai Chen, Yuan Huang, Hongmin Chen, Zhong Chen, Lin Chen
{"title":"单次多参数MRI用于从动态葡萄糖增强对比中分离T2效应。","authors":"Junxian Jin, Haizhen Ding, Zhekai Chen, Yuan Huang, Hongmin Chen, Zhong Chen, Lin Chen","doi":"10.7150/thno.116483","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background:</b> Glucose is a central substrate in cellular metabolism and serves as a non-invasive biomarker for pathological processes. Dynamic glucose-enhanced (DGE) MRI based on chemical exchange saturation transfer (CEST) offers a promising tool for mapping glucose uptake, but its quantification is confounded by glucose-induced changes in <i>T<sub>2</sub></i> relaxation in addition to glucose concentration. <b>Methods:</b> We developed a single-shot multiparametric CEST (MP-CEST) MRI sequence based on multi-echo spatiotemporal encoding (SPEN), enabling the simultaneous acquisition of <i>T<sub>2</sub></i> and saturation-weighted proton density (PD) maps within a single scan. To correct for <i>T<sub>2</sub></i> -related confounding effects in glucoCEST quantification, a two-step correction strategy was employed. First, the saturation-weighted PD maps, which mitigate <i>T<sub>2</sub></i> -dependent signal attenuation during image acquisition, were used to reconstruct the Z-spectrum, thereby providing a more accurate representation of the true saturation signal amplitude. Second, calibration curves derived from Bloch-McConnell simulations were applied in combination with the simultaneously acquired <i>T<sub>2</sub></i> maps to compensate for spillover effects in the Z-spectrum, thereby improving glucose-specific CEST contrast. The full framework was validated through phantom experiments and <i>in vivo</i> studies in rat brain and tumor xenograft models. Quantitative performance was evaluated by computing the Pearson correlation between DGE signals and <i>T<sub>2</sub></i> values before and after correction, as well as by comparing fitted <i>T<sub>2</sub></i> and PD values with reference maps. <b>Results:</b> Phantom experiments demonstrated high accuracy in PD and <i>T<sub>2</sub></i> quantification (R<sup>2</sup> > 0.99). <i>In vivo</i> studies in rat brain and tumor xenografts showed that the proposed correction method significantly reduced the correlation between DGE signals and <i>T<sub>2</sub></i> values, improving the specificity of glucose-related contrast. In addition, <i>T<sub>2</sub></i> maps provided complementary structural and physiological information relevant to tumor heterogeneity and tissue microstructure. <b>Conclusions:</b> The proposed MP-CEST approach improves the robustness and accuracy of DGE quantification, offering a more comprehensive metabolic imaging framework applicable to both oncological and neurological research.</p>","PeriodicalId":22932,"journal":{"name":"Theranostics","volume":"15 18","pages":"9678-9694"},"PeriodicalIF":13.3000,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12486256/pdf/","citationCount":"0","resultStr":"{\"title\":\"Single-shot multiparametric MRI for separating <i>T<sub>2</sub></i> effects from dynamic glucose-enhanced contrast.\",\"authors\":\"Junxian Jin, Haizhen Ding, Zhekai Chen, Yuan Huang, Hongmin Chen, Zhong Chen, Lin Chen\",\"doi\":\"10.7150/thno.116483\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Background:</b> Glucose is a central substrate in cellular metabolism and serves as a non-invasive biomarker for pathological processes. Dynamic glucose-enhanced (DGE) MRI based on chemical exchange saturation transfer (CEST) offers a promising tool for mapping glucose uptake, but its quantification is confounded by glucose-induced changes in <i>T<sub>2</sub></i> relaxation in addition to glucose concentration. <b>Methods:</b> We developed a single-shot multiparametric CEST (MP-CEST) MRI sequence based on multi-echo spatiotemporal encoding (SPEN), enabling the simultaneous acquisition of <i>T<sub>2</sub></i> and saturation-weighted proton density (PD) maps within a single scan. To correct for <i>T<sub>2</sub></i> -related confounding effects in glucoCEST quantification, a two-step correction strategy was employed. First, the saturation-weighted PD maps, which mitigate <i>T<sub>2</sub></i> -dependent signal attenuation during image acquisition, were used to reconstruct the Z-spectrum, thereby providing a more accurate representation of the true saturation signal amplitude. Second, calibration curves derived from Bloch-McConnell simulations were applied in combination with the simultaneously acquired <i>T<sub>2</sub></i> maps to compensate for spillover effects in the Z-spectrum, thereby improving glucose-specific CEST contrast. The full framework was validated through phantom experiments and <i>in vivo</i> studies in rat brain and tumor xenograft models. Quantitative performance was evaluated by computing the Pearson correlation between DGE signals and <i>T<sub>2</sub></i> values before and after correction, as well as by comparing fitted <i>T<sub>2</sub></i> and PD values with reference maps. <b>Results:</b> Phantom experiments demonstrated high accuracy in PD and <i>T<sub>2</sub></i> quantification (R<sup>2</sup> > 0.99). <i>In vivo</i> studies in rat brain and tumor xenografts showed that the proposed correction method significantly reduced the correlation between DGE signals and <i>T<sub>2</sub></i> values, improving the specificity of glucose-related contrast. In addition, <i>T<sub>2</sub></i> maps provided complementary structural and physiological information relevant to tumor heterogeneity and tissue microstructure. <b>Conclusions:</b> The proposed MP-CEST approach improves the robustness and accuracy of DGE quantification, offering a more comprehensive metabolic imaging framework applicable to both oncological and neurological research.</p>\",\"PeriodicalId\":22932,\"journal\":{\"name\":\"Theranostics\",\"volume\":\"15 18\",\"pages\":\"9678-9694\"},\"PeriodicalIF\":13.3000,\"publicationDate\":\"2025-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12486256/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Theranostics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.7150/thno.116483\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theranostics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.7150/thno.116483","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

背景:葡萄糖是细胞代谢的中心底物,是病理过程的非侵入性生物标志物。基于化学交换饱和转移(CEST)的动态葡萄糖增强(DGE) MRI为绘制葡萄糖摄取图谱提供了一种很有前景的工具,但其量化受到葡萄糖诱导的T2弛豫变化和葡萄糖浓度的影响。方法:我们开发了一种基于多回声时空编码(SPEN)的单次多参数CEST (MP-CEST) MRI序列,能够在单次扫描中同时获取T2和饱和加权质子密度(PD)图。为了校正葡萄糖测试定量中T2相关的混淆效应,采用了两步校正策略。首先,使用饱和度加权PD图来重建z谱,从而更准确地表示真实的饱和信号幅度,从而减轻图像采集过程中T2依赖的信号衰减。其次,从Bloch-McConnell模拟中获得的校准曲线与同时获得的T2图谱结合使用,以补偿z谱中的溢出效应,从而提高葡萄糖特异性CEST的对比度。完整的框架通过幻影实验和大鼠脑和肿瘤异种移植模型的体内研究得到验证。通过计算校正前后DGE信号与T2值之间的Pearson相关性,以及将拟合的T2和PD值与参考图进行比较,来评估定量性能。结果:幻影实验显示PD和T2定量准确度高(R2 > 0.99)。在大鼠脑和肿瘤异种移植的体内研究表明,所提出的校正方法显著降低了DGE信号与T2值的相关性,提高了葡萄糖相关对比的特异性。此外,T2图谱还提供了与肿瘤异质性和组织微观结构相关的补充结构和生理信息。结论:提出的MP-CEST方法提高了DGE量化的稳健性和准确性,为肿瘤和神经学研究提供了更全面的代谢成像框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single-shot multiparametric MRI for separating T2 effects from dynamic glucose-enhanced contrast.

Background: Glucose is a central substrate in cellular metabolism and serves as a non-invasive biomarker for pathological processes. Dynamic glucose-enhanced (DGE) MRI based on chemical exchange saturation transfer (CEST) offers a promising tool for mapping glucose uptake, but its quantification is confounded by glucose-induced changes in T2 relaxation in addition to glucose concentration. Methods: We developed a single-shot multiparametric CEST (MP-CEST) MRI sequence based on multi-echo spatiotemporal encoding (SPEN), enabling the simultaneous acquisition of T2 and saturation-weighted proton density (PD) maps within a single scan. To correct for T2 -related confounding effects in glucoCEST quantification, a two-step correction strategy was employed. First, the saturation-weighted PD maps, which mitigate T2 -dependent signal attenuation during image acquisition, were used to reconstruct the Z-spectrum, thereby providing a more accurate representation of the true saturation signal amplitude. Second, calibration curves derived from Bloch-McConnell simulations were applied in combination with the simultaneously acquired T2 maps to compensate for spillover effects in the Z-spectrum, thereby improving glucose-specific CEST contrast. The full framework was validated through phantom experiments and in vivo studies in rat brain and tumor xenograft models. Quantitative performance was evaluated by computing the Pearson correlation between DGE signals and T2 values before and after correction, as well as by comparing fitted T2 and PD values with reference maps. Results: Phantom experiments demonstrated high accuracy in PD and T2 quantification (R2 > 0.99). In vivo studies in rat brain and tumor xenografts showed that the proposed correction method significantly reduced the correlation between DGE signals and T2 values, improving the specificity of glucose-related contrast. In addition, T2 maps provided complementary structural and physiological information relevant to tumor heterogeneity and tissue microstructure. Conclusions: The proposed MP-CEST approach improves the robustness and accuracy of DGE quantification, offering a more comprehensive metabolic imaging framework applicable to both oncological and neurological research.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Theranostics
Theranostics MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
25.40
自引率
1.60%
发文量
433
审稿时长
1 months
期刊介绍: Theranostics serves as a pivotal platform for the exchange of clinical and scientific insights within the diagnostic and therapeutic molecular and nanomedicine community, along with allied professions engaged in integrating molecular imaging and therapy. As a multidisciplinary journal, Theranostics showcases innovative research articles spanning fields such as in vitro diagnostics and prognostics, in vivo molecular imaging, molecular therapeutics, image-guided therapy, biosensor technology, nanobiosensors, bioelectronics, system biology, translational medicine, point-of-care applications, and personalized medicine. Encouraging a broad spectrum of biomedical research with potential theranostic applications, the journal rigorously peer-reviews primary research, alongside publishing reviews, news, and commentary that aim to bridge the gap between the laboratory, clinic, and biotechnology industries.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信