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Articles 1 - 5 of 5
Full-Text Articles in Medicine and Health Sciences
The Effectiveness Of Annual Mammograms Versus Triennial Mammograms In Women Under The Age Of 50, Jordyn A. Gowell, Dakota Grace Cochran, Ashley Cantwell, Sara Doughty, Allison Sgrosso
The Effectiveness Of Annual Mammograms Versus Triennial Mammograms In Women Under The Age Of 50, Jordyn A. Gowell, Dakota Grace Cochran, Ashley Cantwell, Sara Doughty, Allison Sgrosso
Non-Thesis Student Work
The current recommendation for mammography frequency is every 2 years after age 50. However, newer data shows that yearly mammograms are effective in early detection of breast cancer, even before age 50. These authors posed the question: In women under age 50, is a yearly mammogram more effective than a mammogram every 3 years in detecting breast cancer? A literature search was conducted on CINAHL, MEDLINE, Google Scholar and Cochrane Library using the following terms: mammography, mammogram, annual, yearly, every three years, triennial, and breast cancer. A total of 10 articles met the inclusion criteria. The results of the literature …
A Quantitative Visualization Tool For The Assessment Of Mammographic Risky Dense Tissue Types, Margaret R. Mccarthy
A Quantitative Visualization Tool For The Assessment Of Mammographic Risky Dense Tissue Types, Margaret R. Mccarthy
Electronic Theses and Dissertations
Breast cancer is the second most occurring cancer type and is ranked fifth in terms of mortality. X-ray mammography is the most common methodology of breast imaging and can show radiographic signs of cancer, such as masses and calcifcations. From these mammograms, radiologists can also assess breast density, which is a known cancer risk factor. However, since not all dense tissue is cancer-prone, we hypothesize that dense tissue can be segregated into healthy vs. risky subtypes. We propose that risky dense tissue is associated with tissue microenvironment disorganization, which can be quantified via a computational characterization of the whole breast …
Hybrid Power Spectral And Wavelet Image Roughness Analysis, Basel White
Hybrid Power Spectral And Wavelet Image Roughness Analysis, Basel White
Electronic Theses and Dissertations
The Two-Dimensional Wavelet Transform Modulus Maxima (2D WTMM) sliding window methodology has proven to be a robust approach, in particular for the extraction of the Hurst (H) roughness exponent from grayscale mammograms. The power spectrum is a computational analysis based on the Fourier transform that can be used to estimate the roughness of a scale-invariant image or region via the calculation of H. We aim to examine how the calculation of H in fractional Brownian motion (fBm) images and mammograms can be improved. fBm images are generated for H ∈ [0.00,1.00] for testing through the previous 2D …
Exploring The Intersection Of Race, Socioeconomic Status, Breastfeeding And Breast Cancer, Joanna Lafrance
Exploring The Intersection Of Race, Socioeconomic Status, Breastfeeding And Breast Cancer, Joanna Lafrance
Honors College
This thesis examines the negative correlation between breastfeeding duration and breast cancer rates and how they may intersect with race and socioeconomic status for Black women in the United States. There is well documented evidence that exclusive breastfeeding for at least six months, as recommended by the American Pediatric Association, has numerous benefits to both mother and baby, specifically in decreasing the mother’s lifetime risk of developing breast cancer (1). Similarly, many resources state a negative correlation between number of offspring and breast cancer risk. However, after a systematic analysis of 91 articles was conducted, it appears that statements like …
Predictive Diagnostic Analysis Of Mammographic Breast Tissue Microenvironment, Dexter G. Canning
Predictive Diagnostic Analysis Of Mammographic Breast Tissue Microenvironment, Dexter G. Canning
Honors College
Improving computer-aided early detection techniques for breast cancer is paramount because current technology has high false positive rates. Existing methods have led to a substantial number of false diagnostics, which lead to stress, unnecessary biopsies, and an added financial burden to the health care system. In order to augment early detection methodology, one must understand the breast microenvironment. The CompuMAINE Lab has researched computational metrics on mammograms based on an image analysis technique called the Wavelet Transform Modulus Maxima (WTMM) method to identify the fractal and roughness signature from mammograms. The WTMM method was used to color code the mammograms …