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DTSTAMP:20250802T220650Z
DESCRIPTION:Title: Fractal Analysis of Mammographic Brest Lesions and Chara
 cterization of Loss of Tissue Homeostasis in Tumor Microenvironment.\n\nAb
 stract: The current breast cancer projects in my lab investigate individua
 l breast tumors\, as well as their microenvironment\, through mammography.
 \n	Several studies show that malignant tumor growth may develop in fractal 
 patterns. We used the 2D Wavelet-Transform Modulus Maxima (WTMM) method to
  estimate the 3D fractal structure of breast lesions—in this case\, microc
 alcification clusters—by pairing the information from two separate 2D-proj
 ected mammographic views of the same breast. 92%\n	of malignant breast lesi
 ons studied were fractal\, while 88% of the benign lesions were Euclidean 
 (non-fractal). These results support the notion that the fractal structure
  of malignant tumors is more likely to be associated with an invasive beha
 vior into the surrounding tissue compared to the less invasive\, Euclidean
  structure of benign tumors.\n	The multicellular architecture and organizat
 ion of the ductal tree of the mammary glandhas coherent cellular movement 
 within an extracellular matrix cocoon that guides formation of structural 
 units of tissues important for quiescence and homeostasis. This motivated 
 us to “think outside the tumor”. We verified the hypothesis that this disr
 uption of coherent angular motion\, and the consequential adoption of rand
 omized motility associated to malignant transformation\, is a physical phe
 nomenon that we can characterize quantitatively via the roughness fluctuat
 ion analysis of mammographic microenvironment tissue. When compared to nor
 mal tissue environment\, the tissue in the microenvironment of tumors is d
 isrupted\, as quantified via the 2D WTMM method. The density fluctuations 
 in healthy mammographic breast tissue\, characterized by their surface rou
 ghness by the Hurst exponent\, H\, is either H~1/3 (high roughness) for fa
 tty tissue or H~2/3 (low roughness) for dense tissue. However\, increasing
  numbers of tissue regions with H~1/2 were found surrounding tumors. We in
 fer that the underlying physical processes associated with breast tumors h
 ave a H~1/2 signature\, which indicates randomness\, lack of spatial corre
 lation\, and free diffusion.\n	 \n
DTSTART:20190117T170000Z
DTEND:20190117T183000Z
LOCATION:Room 4336\, CA\, Pav. André-Aisenstadt\, 2920\, ch. de la Tour
SUMMARY:André Khalil\, University of Maine\, Orono
URL:/mathstat/channels/event/andre-khalil-university-m
 aine-orono-293083
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