Gerasimova-Chechkina Evgeniya, Toner Brian C, Batchelder Kendra A, White Basel, Freynd Genrietta, Antipev Igor, Arneodo Alain, Khalil Andre
Laboratory of Physical Foundations of Strength, Institute of Continuous Media Mechanics UB RAS, Perm, Russia.
CompuMAINE Laboratory, University of Maine, Orono, ME, United States.
Front Physiol. 2021 May 5;12:660883. doi: 10.3389/fphys.2021.660883. eCollection 2021.
The 2D wavelet transform modulus maxima (WTMM) method is used to perform a comparison of the spatial fluctuations of mammographic breast tissue from patients with invasive lobular carcinoma, those with invasive ductal carcinoma, and those with benign lesions. We follow a procedure developed and validated in a previous study, in which a sliding window protocol is used to analyze thousands of small subregions in a given mammogram. These subregions are categorized according to their Hurst exponent values (): fatty tissue ( ≤ 0.45), dense tissue ( ≥ 0.55), and disrupted tissue potentially linked with tumor-associated loss of homeostasis (0.45 < < 0.55). Following this categorization scheme, we compare the mammographic tissue composition of the breasts. First, we show that cancerous breasts are significantly different than breasts with a benign lesion (-value ∼ 0.002). Second, the asymmetry between a patient's cancerous breast and its contralateral counterpart, when compared to the asymmetry from patients with benign lesions, is also statistically significant (-value ∼ 0.006). And finally, we show that lobular and ductal cancerous breasts show similar levels of disruption and similar levels of asymmetry. This study demonstrates reproducibility of the WTMM sliding-window approach to help detect and characterize tumor-associated breast tissue disruption from standard mammography. It also shows promise to help with the detection lobular lesions that typically go undetected via standard screening mammography at a much higher rate than ductal lesions. Here both types are assessed similarly.
二维小波变换模极大值（WTMM）方法用于对浸润性小叶癌患者、浸润性导管癌患者和良性病变患者的乳腺钼靶图像中乳腺组织的空间波动进行比较。我们遵循先前研究中开发并验证的程序，其中使用滑动窗口协议来分析给定乳腺钼靶图像中的数千个小区域。这些区域根据其赫斯特指数值（）进行分类：脂肪组织（≤0.45）、致密组织（≥0.55）以及可能与肿瘤相关的内环境稳态丧失有关的破坏组织（0.45＜＜0.55）。按照这种分类方案，我们比较了乳房的乳腺钼靶组织组成。首先，我们表明癌性乳房与良性病变乳房有显著差异（p值～0.002）。其次，与良性病变患者的不对称性相比，患者癌性乳房与其对侧乳房之间的不对称性在统计学上也具有显著性（p值～0.006）。最后，我们表明小叶癌性乳房和导管癌性乳房表现出相似程度的破坏和相似程度的不对称性。这项研究证明了WTMM滑动窗口方法的可重复性，有助于从标准乳腺钼靶图像中检测和表征与肿瘤相关的乳腺组织破坏。它还显示出有望帮助检测小叶病变，这些病变通常通过标准筛查乳腺钼靶难以检测到，其未被检测到的比例比导管病变高得多。这里对两种类型的评估方式相似。
