volumetricautomaticbreastdensityassessmentinan…：容量自動(dòng)乳腺密度評(píng)估一…-資料下載頁
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【正文】 in XIPBuilder Dense Tissue Volume Total Tissue Volume x 100 = Percent Density RADBuilder Process S o X I P L o a dD I C O MS o I t k B in a r yT h r e s h o ldI m a g e F ilt e rS o X I P B r e a s tT o t a lT is s u eV o lu m eC a lc u la t io nS o I t k M u lt ip lyI m a g e F ilt e rS o X I P B r e a s tD e n s eT is s u e V o lu m eC a lc u la t io nS o X I P L in e a rA t t e n u a t io nC o e f f ic ie n t sC a lc u la t o r S e p a r a t o rS o I t k B in a r yT h r e s h o ldI m a g e F ilt e rSeparator ? Module in RADBuilder ? Displays output ? In this case, text Methods II ? 20 CC fullfield digital mammograms ? Prior manual breast density assessment using ImageJ ? Determine breast density using Cumulus?, a popular interactive thresholding program ? Determine breast density with the automated XIP solution Methods III ? Compare the three measurements of breast density to determine Kendall’s Coefficient of Concordance ? Use that coefficient to determine a χ2 that allows testing of the null hypothesis: There is no agreement in the assessment of breast density by the three methods Results ? The overall Kendall’s Coefficient paring the three systems was ? For 20 cases and three systems, the χ2 is which allows the rejection of the null hypothesis (χ2 of , 19 degrees of freedom, α =). Conclusion ? It was possible to develop, in XIP, an automatic software application to measure volumetric breast density in mammograms. ? The automatic measurement agreed well with two, independent, manual thresholding based techniques in mon, current use. Future Work ? MLO view capability ? Anisotropic Filter ? Improve fatty reference value identification ? Validate this and other techniques against ground truth (MRI) References 1. Boyd, N., Lockwood, G., Byng, J., Tritchler, D., Yaffe, M., “Mammographic Densities and Breast Cancer Risk”. Cancer Epidemiology, Biomarkers amp。 Prevention, 7, 11331144. 2. Marias K et al. “A Mammographic Image Analysis Method to Detect and Measure Changes in Breast Density”. European Journal of Radiology. 2022。 52:276282. 3. Vacek, Pamela M., Geller, Berta M. (2022) A Prospective Study of Breast Cancer Risk Using Routine Mammographic Breast Density. Cancer Epidemiology, Biomarkers amp。 Prevention. 13(5). 715722. 4. Van Engeland, S., Snoeren, ., Huisman, H., Boetes, C., Karssemeijer, N., (2022) A Prospective Study of Breast Cancer Risk Using Routine Mammographic Breast Density. Cancer Epidemiology, Biomarkers amp。 Prevention. 2022。 13(5):715722. 5. Wolfe JN. “Risk for Breast Cancer Development Determined by Mammographic Parenchymal Pattern”. Cancer. 1976。 37:248692.
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