Search Results - "Aung, Ye K"

Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds by Nguyen, Tuong L, Aung, Ye K, Li, Shuai, Trinh, Nhut Ho, Evans, Christopher F, Baglietto, Laura, Krishnan, Kavitha, Dite, Gillian S, Stone, Jennifer, English, Dallas R, Song, Yun-Mi, Sung, Joohon, Jenkins, Mark A, Southey, Melissa C, Giles, Graham G, Hopper, John L

“…Case-control studies show that mammographic density is a better risk factor when defined at higher than conventional pixel-brightness thresholds. We asked if…”
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Novel mammogram‐based measures improve breast cancer risk prediction beyond an established mammographic density measure by Nguyen, Tuong L., Schmidt, Daniel F., Makalic, Enes, Maskarinec, Gertraud, Li, Shuai, Dite, Gillian S., Aung, Ye K., Evans, Christopher F., Trinh, Ho N., Baglietto, Laura, Stone, Jennifer, Song, Yun‐Mi, Sung, Joohon, MacInnis, Robert J., Dugué, Pierre‐Antoine, Dowty, James G., Jenkins, Mark A., Milne, Roger L., Southey, Melissa C., Giles, Graham G., Hopper, John L.

“…Mammograms contain information that predicts breast cancer risk. We developed two novel mammogram‐based breast cancer risk measures based on image brightness…”
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Interval breast cancer risk associations with breast density, family history and breast tissue aging by Nguyen, Tuong L., Li, Shuai, Dite, Gillian S., Aung, Ye K., Evans, Christopher F., Trinh, Ho N., Baglietto, Laura, Stone, Jennifer, Song, Yun‐Mi, Sung, Joohon, English, Dallas R., Jenkins, Mark A., Dugué, Pierre‐Antoine, Milne, Roger L., Southey, Melissa C., Giles, Graham G., Pike, Malcolm C., Hopper, John L.

“…Interval breast cancers (those diagnosed between recommended mammography screens) generally have poorer outcomes and are more common among women with dense…”
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Breast Cancer Risk Associations with Digital Mammographic Density by Pixel Brightness Threshold and Mammographic System by Nguyen, Tuong L, Choi, Yoon-Ho, Aung, Ye K, Evans, Christopher F, Trinh, Nhut H, Li, Shuai, Dite, Gillian S, Kim, Myeong-Seong, Brennan, Patrick C, Jenkins, Mark A, Sung, Joohon, Song, Yun-Mi, Hopper, John L

“…Purpose To compare three mammographic density measures defined by different pixel intensity thresholds as predictors of breast cancer risk for two different…”
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Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk by Nguyen, Tuong L, Aung, Ye K, Evans, Christopher F, Dite, Gillian S, Stone, Jennifer, MacInnis, Robert J, Dowty, James G, Bickerstaffe, Adrian, Aujard, Kelly, Rommens, Johanna M, Song, Yun-Mi, Sung, Joohon, Jenkins, Mark A, Southey, Melissa C, Giles, Graham G, Apicella, Carmel, Hopper, John L

“…Mammographic density defined by the conventional pixel brightness threshold, and adjusted for age and body mass index (BMI), is a well-established risk factor…”
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Measurement challenge: protocol for international case–control comparison of mammographic measures that predict breast cancer risk by Dench, Evenda, Bond-Smith, Daniela, Darcey, Ellie, Lee, Grant, Aung, Ye K, Chan, Ariane, Cuzick, Jack, Ding, Ze Y, Evans, Chris F, Harvey, Jennifer, Highnam, Ralph, Hsieh, Meng-Kang, Kontos, Despina, Li, Shuai, Mariapun, Shivaani, Nickson, Carolyn, Nguyen, Tuong L, Pertuz, Said, Procopio, Pietro, Rajaram, Nadia, Repich, Kathy, Tan, Maxine, Teo, Soo-Hwang, Trinh, Nhut Ho, Ursin, Giske, Wang, Chao, dos-Santos-Silva, Isabel, McCormack, Valerie, Nielsen, Mads, Shepherd, John, Hopper, John L, Stone, Jennifer

“…IntroductionFor women of the same age and body mass index, increased mammographic density is one of the strongest predictors of breast cancer risk. There are…”
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