Journal
FRONTIERS IN PHYSIOLOGY
Volume 12, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fphys.2021.660883
Keywords
Radiomics; tissue homeostasis; mammography; wavelets; breast density; fractals; multifractals; Hurst exponent (H)
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Funding
- Ministry of Education and Science of Russia [14.W01.17.2674-MK]
- NVIDIA Corporation
- National Cancer Institute of the National Institutes of Health [R15CA246335]
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The study compares spatial fluctuations of mammographic breast tissue using the WTMM method. Results show significant differences between cancerous and benign breast tissue, as well as statistically significant asymmetry between cancerous breasts and their contralateral counterparts. Lobular and ductal cancerous breasts exhibit similar levels of disruption and asymmetry. This study has the potential to assist in detecting and characterizing tumor-associated breast tissue and could improve screening techniques for lobular lesions.
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 (H): fatty tissue (H <= 0.45), dense tissue (H >= 0.55), and disrupted tissue potentially linked with tumor-associated loss of homeostasis (0.45 < H < 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 (p-value similar to 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 (p-value similar to 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.
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