Vanderbilt University Institute of Imaging Science, Nashville, Tennessee, USA.
Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Magn Reson Med. 2023 Aug;90(2):596-614. doi: 10.1002/mrm.29675. Epub 2023 Apr 24.
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 ).
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 .
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).
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.
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。
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。
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。
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。