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在高场强下评估肿瘤酰胺质子转移加权成像和核 Overhauser 增强加权成像对比的贡献者。

Evaluation of contributors to amide proton transfer-weighted imaging and nuclear Overhauser enhancement-weighted imaging contrast in tumors at a high magnetic field.

机构信息

Vanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.

Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

出版信息

Magn Reson Med. 2023 Aug;90(2):596-614. doi: 10.1002/mrm.29675. Epub 2023 Apr 24.

Abstract

PURPOSE

The purpose is to evaluate the relative contribution from confounding factors (T weighting and magnetization transfer) to the CEST ratio (CESTR)-quantified amide proton transfer (APT) and nuclear Overhauser enhancement (NOE) (-3.5) in tumors as well as whether the CESTR can reflect the distribution of the solute concentration (f ).

METHODS

We first provided a signal model that shows the separate dependence of CESTR on these confounding factors and the clean CEST/NOE effects quantified by an apparent exchange-dependent relaxation (AREX) method. We then measured the change in these effects in the 9-L tumor model in rats, through which we calculated the relative contribution of each confounding factor. f was also fitted, and its correlations with the CESTR and AREX were assessed to evaluate their capabilities to reflect f .

RESULTS

The CESTR-quantified APT shows "positive" contrast in tumors, which arises primarily from R at low powers and both R and magnetization transfer at high powers. CESTR-quantified NOE (-3.5) shows no or weak contrast in tumors, which is due to the cancelation of R and NOE (-3.5), which have opposite contributions. CESTR-quantified APT has a stronger correlation with APT f than AREX-quantified APT. CESTR-quantified NOE (-3.5) has a weaker correlation with NOE (-3.5) f than AREX-quantified NOE (-3.5).

CONCLUSION

CESTR reflects a combined effect of T weighting and CEST/NOE. Both factors depend on f , which contributes positively to the dependence of CESTR on f in APT imaging and enhances its correlation with f . In contrast, these factors have opposite contributions to its dependence on f in NOE (-3.5) imaging, thereby weakening the correlation.

摘要

目的

评估混杂因素(T 加权和磁化转移)对 CEST 比(CESTR)量化酰胺质子转移(APT)和核奥弗豪瑟增强(NOE)(-3.5)的相对贡献,以及 CESTR 是否可以反映溶质浓度(f)的分布。

方法

我们首先提供了一个信号模型,该模型显示了 CESTR 对这些混杂因素的单独依赖性以及通过表观交换相关弛豫(AREX)方法量化的纯净 CEST/NOE 效应。然后,我们通过 9-L 肿瘤模型在大鼠中测量了这些效应的变化,通过计算得出了每个混杂因素的相对贡献。还拟合了 f,并评估了其与 CESTR 和 AREX 的相关性,以评估它们反映 f 的能力。

结果

CESTR 量化的 APT 在肿瘤中显示“正”对比,主要来自低功率下的 R 和高功率下的 R 和磁化转移。CESTR 量化的 NOE(-3.5)在肿瘤中没有或仅有微弱的对比,这是由于 R 和 NOE(-3.5)的抵消,它们具有相反的贡献。CESTR 量化的 APT 与 AREX 量化的 APT 相比,与 APT f 的相关性更强。CESTR 量化的 NOE(-3.5)与 AREX 量化的 NOE(-3.5)相比,与 NOE(-3.5)f 的相关性较弱。

结论

CESTR 反映了 T 加权和 CEST/NOE 的综合效应。这两个因素都依赖于 f,这有助于 CESTR 对 APT 成像中 f 的依赖性,并增强了与 f 的相关性。相反,这些因素在 NOE(-3.5)成像中对其对 f 的依赖性有相反的贡献,从而削弱了相关性。

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