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Publikováno v:
Breast Cancer Research
Introduction Mammographic density is a strong, independent risk factor for breast cancer. A critical unanswered question is whether cancers tend to arise in mammographically dense tissue (i.e. are densities directly related to risk or are they simply
Autor:
Laurence N. Kolonel, Song-Yi Park, Melissa A. Little, Shannon M. Conroy, Gertraud Maskarinec, Ian Pagano
Publikováno v:
Breast Cancer Research : BCR
Introduction Mammographic density, a strong predictor for breast cancer incidence, may also worsen prognosis in women with breast cancer. This prospective analysis explored the effect of prediagnostic mammographic density among 607 breast cancer case
Autor:
J Meyer, Elaine F. Harkness, Yit Yoong Lim, Susan M. Astley, Mary E. Wilson, Julie Morris, M Bydder, CE Mercer, Anthony J. Maxwell
Publikováno v:
Breast Cancer Research : BCR
Previous work has demonstrated that approximately 14% of women who attend their first breast screening appointment fail to attend the next appointment. It is well recognised that some women experience marked discomfort or pain during mammography whic
Publikováno v:
Breast Cancer Research : BCR
Introduction Over the last decade several breast cancer risk alleles have been identified which has led to an increased interest in individualised risk prediction for clinical purposes. Methods We investigate the performance of an up-to-date 18 breas
Autor:
Yeun-Chung Chang, Chiun-Sheng Huang, Yu-Sen Huang, Wei-Chun Ko, Yao-Hui Tseng, Jenny Ling-Yu Chen, Sung-Hsin Kuo, Fu-Shan Jaw
Publikováno v:
Breast Cancer Research : BCR
We aimed to evaluate the influence of mammographic breast density at diagnosis on the risk of cancer recurrence and survival outcomes in patients with invasive breast cancer after modified radical mastectomy. This case-control study included 121 case
Autor:
L. M. Peelen, Wouter B. Veldhuis, Carla H. van Gils, Gerco Haars, Petra H.M. Peeters, Mariëtte Lokate
Publikováno v:
Breast Cancer Research : BCR
Introduction Both the percent of mammographic density and absolute dense (fibroglandular) area are strong breast cancer risk factors. The role of non-dense (fat) breast tissue is not often investigated, but we hypothesize that this also influences ri
Autor:
Randall R. Kinnick, Matthew W. Urban, James F. Greenleaf, Dana H. Whaley, Azra Alizad, Rickey E. Carter, Mostafa Fatemi
Publikováno v:
Breast Cancer Research : BCR
Introduction Vibro-acoustography (VA) is a recently developed imaging modality that is sensitive to the dynamic characteristics of tissue. It detects low-frequency harmonic vibrations in tissue that are induced by the radiation force of ultrasound. H
Autor:
Bruce J. Tromberg, Enrico Gratton, Albert E. Cerussi, Anais Leproux, Montana Compton, Amanda Durkin
Publikováno v:
Leproux, Anaïs; Durkin, Amanda; Compton, Montana; Cerussi, Albert E; Gratton, Enrico; & Tromberg, Bruce J. (2013). Assessing tumor contrast in radiographically dense breast tissue using Diffuse Optical Spectroscopic Imaging (DOSI). Breast Cancer Research, 15(5), R89. doi: http://dx.doi.org/10.1186/bcr3485. Retrieved from: http://www.escholarship.org/uc/item/0rt1h123
Breast Cancer Research : BCR
Breast Cancer Research : BCR
Introduction Radiographic density adversely affects the performance of X-ray mammography and can be particularly problematic in younger and high-risk women. Because of this limitation, there is significant ongoing effort to develop alternative cancer
Publikováno v:
Breast Cancer Research : BCR
Introduction Classification of breast cancers according to the HER-2 oncogene status is of central importance in the selection of post-surgical therapies. A decrease in the proportion of HER-2-positive breast cancer has been suspected, but no data on
Autor:
Hanna Birke, Anthony Howell, Adam R. Brentnall, Stephen W. Duffy, Jennifer Stone, Ruth Warren, Jack Cuzick, Elizabeth Pinney, Jane Warwick
Publikováno v:
Breast Cancer Research : BCR
Introduction Mammographic density is well-established as a risk factor for breast cancer, however, adjustment for age and body mass index (BMI) is vital to its clinical interpretation when assessing individual risk. In this paper we develop a model t