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Supplemental Breast MRI for Women with Extremely Dense Breasts: Results of the Second Screening Round of the DENSE Trial
Veenhuizen, de Lange, Bakker, Pijnappel, Mann, Monninkhof, Emaus, de Koekkoek-Doll, Bisschops, Lobbes, de Jong, Duvivier, Veltman, Karssemeijer, de Koning, van Diest, Mali, van den Bosch, van Gils, Veldhuis
“The incremental cancer detection rate in the second round was 5.8 per 1000 screening examinations—compared with 16.5 per 1000 screening examinations in the first round. This was accompanied by a strong reduction in the number of false positive results.”
Parenchymal pattern in women with dense breasts. Variation with age and impact on screening outcomes: observations from a UK screening programme
Ward, Heller, Hudson, Wilkinson
“A total of 40,760 women who underwent screening during the
study period had Volpara data available … There was a significant correlation between a diagnosis of cancer and nodular PP compared to not nodular PP (p = 0.043).”
The combined effect of mammographic texture and density on breast cancer risk: a cohort study
Wanders, van Gils, Karssemeijer, Holland, Kallenberg, Peeters, Nielsen, Lillholm
“Deep-learning-based texture pattern scores, measured automatically on digital mammograms, are associated with breast cancer risk, independently of volumetric mammographic density, and augment the capacity to discriminate between future breast cancer and non-breast cancer cases.”
The effect of volumetric breast density on the risk of screen-detected and interval breast cancers: a cohort study
Wanders, Holland, Karssemeijer, Peeters, Veldhuis, Mann, van Gils
“Our results suggest that both absolute dense volume and percentage dense volume are strong markers of breast cancer risk, but that they are even stronger markers for predicting the occurrence of tumors that are not detected during mammography breast cancer screening.”
Quantitative Mammographic Density Measurements and Molecular Subtypes in Chinese Women with Breast Cancer
Tian, Guida, Koka, Li, Zhu, Sung, Chan, Zhang, Tang, Guo, Den, Hu, Lu, Gierach, Li, Yang
“Although biological mechanisms remain to be investigated, the associations for the HER2-enriched and luminal B subtypes with increasing MD may partially explain the higher prevalence of luminal B and HER2+ breast cancers previously reported in Asian women.”
Digital volumetric measurement of mammographic density and the risk of overlooking cancer in Japanese women
Sawada, Akashi, Nakamura, Kuwayama, Enokido, Yoshida, Hashimoto, Ide, Masuda, Taruno, Oyama, Takamaru, Kanada, Ikeda, Kosugi, Sato, Nakayama, Ata, Tonouchi, Sakai, Matsunaga, Matsutani
“The proportions of Japanese women with dense breasts were high. In addition, the false-negative rate for women with dense breasts was also high. Owing to this, Japanese women with dense breasts may need to commonly undergo additional tests to ensure detection of breast cancer in the screening MMG.”
High Volumetric Breast Density Predicts Risk for Breast Cancer in Postmenopausal, but not Premenopausal, Korean Women
Park, Ko, Joo, Park, Jung, Lee, Kwon, Kang, Lee, Lee, Ro
“High volumetric breast density is significantly associated with the risk of breast cancer in postmenopausal women; however, these relationships were not found in premenopausal women.”
Automated and Clinical Breast Imaging Reporting and Data System Density Measures Predict Risk of Screen-Detected and Interval Cancers
Kerlikowske, Scott, Mahmoudzadeh, Ma, Winham, Jensen,Wu, Malkov, Pankratz, Cummings, Shepherd, Brandt, Miglioretti, Vachon
“Automated and clinical BI-RADS density similarly predict interval and screen-detected cancer risk, suggesting that either measure may be used to inform women of their breast density.”
Combining quantitative and qualitative breast density measures to assess breast cancer risk
Kerlikowske, Ma, Scott, Mahmoudzadeh, Jensen, Sprague, Henderson, Pankratz, Cummings, Miglioretti, Vachon, Shepherd
“Risk models with automated dense breast volume combined with BI-RADS breast density may better identify women with dense breasts at high breast cancer risk than risk models with either measure alone.”
Breast Cancer Risk and Mammographic Density Assessed with Semiautomated and Fully Automated Methods and BI-RADS
Jeffers, Sieh, Lipson, Rothstein, McGuire, Whittemore, Rubin
“Mammographic density on FFDM images was positively associated with breast cancer risk by using the computer assisted methods and BI-RADS.”
