接受新辅助化疗的乳腺癌患者体内非相干运动和动态对比增强磁共振成像测量参数之间的关系:一项纵向队列研究

Zyad M Almutlaq, Sarah E. Bacon, Daniel J. Wilson, Nisha Sharma, T. Dondo, David L. Buckley
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引用次数: 0

摘要

这项研究的主要目的是探讨体细胞内非相干运动(IVIM)是否能提供一种无对比剂的动态对比增强(DCE)-MRI替代方法来测量乳腺肿瘤的灌注。在新辅助化疗(NACT)前和化疗期间,40 位原发性乳腺癌患者(中位年龄:44.5 岁)在 1.5 T 下共获得了 108 次成对的 DWI 和 DCE-MRI 扫描。DWI 参数包括表观扩散系数 (ADC)、组织扩散系数 (Dt)、假扩散系数 (Dp)、灌注分数 (f) 和乘积 f×Dp(微血管血流)。DCE-MRI 参数包括血流量(Fb)、血容积分数(vb)、间质容积分数(ve)和细胞外容积分数(vd)。所有参数都是在治疗前、NACT 一个周期和三个周期后的三次 MRI 检查中从三个肿瘤感兴趣区(全瘤、ADC 冷斑和 DCE-MRI 热斑)提取的。斯皮尔曼秩相关用于评估对象间相关性(r),而重复测量相关用于评估每个区域的 DWI 和 DCE-MRI 参数在各次检查中的对象内相关性(rrm)。在整个肿瘤区域,ADC 与 ve 之间(r=0.461,rrm=0.597)、Dt 与 ve 之间(r=0.405,rrm=0.514)以及 ADC 与 vd 之间、Dt 与 vd 之间(rrm 分别为 0.619 和 0.564)均呈显著的组间和组内中度正相关。这可能是由于对 fxDp 和 vb 的估计不精确,也可能是 IVIM 和 DCE-MRI 测量的内容存在潜在差异。在将 IVIM 参数(f 和 f×Dp)解释为 DCE-MRI 测量参数的替代物时应谨慎。不过,ADC 和 Dt 与 DCE-MRI 参数 ve 和 vd 之间的适度正相关证实了随着细胞间质和细胞外体积分数的增加,水的扩散也会增加的预期。
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The relationship between parameters measured using intravoxel incoherent motion and dynamic contrast-enhanced MRI in patients with breast cancer undergoing neoadjuvant chemotherapy: a longitudinal cohort study
The primary aim of this study was to explore whether intravoxel incoherent motion (IVIM) can offer a contrast-agent-free alternative to dynamic contrast-enhanced (DCE)-MRI for measuring breast tumor perfusion. The secondary aim was to investigate the relationship between tissue diffusion measures from DWI and DCE-MRI measures of the tissue interstitial and extracellular volume fractions.A total of 108 paired DWI and DCE-MRI scans were acquired at 1.5 T from 40 patients with primary breast cancer (median age: 44.5 years) before and during neoadjuvant chemotherapy (NACT). DWI parameters included apparent diffusion coefficient (ADC), tissue diffusion (Dt), pseudo-diffusion coefficient (Dp), perfused fraction (f), and the product f×Dp (microvascular blood flow). DCE-MRI parameters included blood flow (Fb), blood volume fraction (vb), interstitial volume fraction (ve) and extracellular volume fraction (vd). All were extracted from three tumor regions of interest (whole-tumor, ADC cold-spot, and DCE-MRI hot-spot) at three MRI visits: pre-treatment, after one, and three cycles of NACT. Spearman’s rank correlation was used for assessing between-subject correlations (r), while repeated measures correlation was employed to assess within-subject correlations (rrm) across visits between DWI and DCE-MRI parameters in each region.No statistically significant between-subject or within-subject correlation was found between the perfusion parameters estimated by IVIM and DCE-MRI (f versus vb and f×Dp versus Fb; P=0.07–0.81). Significant moderate positive between-subject and within-subject correlations were observed between ADC and ve (r=0.461, rrm=0.597) and between Dt and ve (r=0.405, rrm=0.514) as well as moderate positive within-subject correlations between ADC and vd and between Dt and vd (rrm=0.619 and 0.564, respectively) in the whole-tumor region.No correlations were observed between the perfusion parameters estimated by IVIM and DCE-MRI. This may be attributed to imprecise estimates of fxDp and vb, or an underlying difference in what IVIM and DCE-MRI measure. Care should be taken when interpreting the IVIM parameters (f and f×Dp) as surrogates for those measured using DCE-MRI. However, the moderate positive correlations found between ADC and Dt and the DCE-MRI parameters ve and vd confirms the expectation that as the interstitial and extracellular volume fractions increase, water diffusion increases.
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