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使用无脂肪方法解锁用于乳腺癌磁共振成像的rNOE-CEST对比。

Unlocking the rNOE-CEST Contrast for Breast Cancer MRI Using the FATLESS Approach.

作者信息

Boyd Philip S, Menshchikov Petr, Loi Lisa, Kempa Neele, Ladd Mark E, Schlemmer Heinz-Peter, Bachert Peter, Paech Daniel, Korzowski Andreas

出版信息

Invest Radiol. 2025 Jul 18. doi: 10.1097/RLI.0000000000001222.

Abstract

OBJECTIVES

Quantitative chemical exchange saturation transfer (CEST) breast imaging is limited by pronounced fat-induced artifacts. The strongest fat artifact, appearing between [-2, -4] ppm in the Z-spectrum, directly overlaps the signal of the exchange-relayed nuclear Overhauser effect (rNOE) at around -3.5 ppm, a key biomarker for protein content and cellularity, making accurate rNOE-CEST evaluation extremely challenging. The aim of this study is to evaluate rNOE-CEST contrast corrected for fat-related artifacts using a novel, fully software-based fat correction method in breast cancer patients.

MATERIALS AND METHODS

FATLESS (Fat Attenuation Technique using Lipid signal Estimation and Simulated Saturations in postprocessing) was developed for correcting fat-related artifacts across the entire Z-spectrum in CEST MRI. The FATLESS method estimates fat signals from residual signals at the direct water saturation offset (0 ppm) while accounting for partial saturation of fat resonances. FATLESS was retrospectively applied to 7T CEST data from breast cancer patients (acquired September 2018 to May 2019). Resulting fat-corrected rNOE, amide, and guanidino MTRRex contrast values were quantified from 2D snapshot GRE CEST with low saturation power (B1=0.6, 0.9 μT). Kruskal-Wallis tests and Pearson correlation analyses were used to compare MTRRex values between tumor and normal-appearing fibroglandular tissue and assess correlations with Ki-67, a tumor proliferation marker.

RESULTS

Nine biopsy-confirmed breast cancer patients [mean age, 50 y ± 10 (SD)] and 7 healthy controls [mean age, 25 y ± 4 (SD)] were included. Fat-corrected MTRRex rNOE maps were validated in phantom and in vivo data, confirming independence from fat artifacts using the FATLESS method. Tumor regions showed significantly higher fat-corrected MTRRex rNOE values than healthy tissue (+140% mean increase, P<0.001). A strong positive correlation was found between fat-corrected MTRRex rNOE values and Ki-67 (R² = 0.71).

CONCLUSIONS

The developed FATLESS fat correction method enables full utilization of all CEST MRI contrasts in the human breast. The observed significant rNOE contrast elevation and strong correlation with tumor proliferation highlight its potential as a non-invasive imaging biomarker for breast cancer characterization.

摘要

目的

定量化学交换饱和转移(CEST)乳腺成像受明显的脂肪诱导伪影限制。最强的脂肪伪影出现在Z谱中[-2, -4] ppm之间,直接与约-3.5 ppm处的交换中继核Overhauser效应(rNOE)信号重叠,rNOE是蛋白质含量和细胞密度的关键生物标志物,这使得准确评估rNOE-CEST极具挑战性。本研究的目的是使用一种新型的、完全基于软件的脂肪校正方法,评估乳腺癌患者中针对脂肪相关伪影校正后的rNOE-CEST对比度。

材料与方法

开发了FATLESS(后处理中使用脂质信号估计和模拟饱和的脂肪衰减技术),用于校正CEST MRI中整个Z谱的脂肪相关伪影。FATLESS方法从直接水饱和偏移(0 ppm)处的残余信号估计脂肪信号,同时考虑脂肪共振的部分饱和。FATLESS被回顾性应用于乳腺癌患者的7T CEST数据(采集于2018年9月至2019年5月)。通过低饱和功率(B1 = 0.6, 0.9 μT)的二维快照GRE CEST对所得的脂肪校正后的rNOE、酰胺和胍基MTRRex对比度值进行量化。使用Kruskal-Wallis检验和Pearson相关分析比较肿瘤与正常外观的纤维腺组织之间的MTRRex值,并评估与肿瘤增殖标志物Ki-67的相关性。

结果

纳入了9例活检确诊的乳腺癌患者[平均年龄,50岁±10(标准差)]和7例健康对照[平均年龄,25岁±4(标准差)]。脂肪校正后的MTRRex rNOE图谱在体模和体内数据中得到验证,证实使用FATLESS方法可独立于脂肪伪影。肿瘤区域的脂肪校正后的MTRRex rNOE值显著高于健康组织(平均增加140%,P<0.001)。发现脂肪校正后的MTRRex rNOE值与Ki-67之间存在强正相关(R² = 0.71)。

结论

所开发的FATLESS脂肪校正方法能够充分利用人乳腺中所有的CEST MRI对比度。观察到的显著rNOE对比度升高以及与肿瘤增殖的强相关性突出了其作为乳腺癌特征化的非侵入性成像生物标志物的潜力。

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