Impact of type of full-field digital image on mammographic density assessment and breast cancer risk estimation: a case-control study.
Impact of type of full-field digital image on mammographic density assessment and breast cancer risk estimation: a case-control study.
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DOI：
10.1186/s13058-016-0756-7
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发表时间：
2016-09-26
期刊：
影响因子：
--
通讯作者：
Dos-Santos-Silva I
中科院分区：
文献类型：
--
作者：
Busana MC;Eng A;Denholm R;Dowsett M;Vinnicombe S;Allen S;Dos-Santos-Silva I
Full-field digital mammography, which is gradually being introduced in most clinical and screening settings, produces two types of images: raw and processed. However, the extent to which mammographic density measurements, and their ability to predict breast cancer risk, vary according to type of image is not fully known. We compared the performance of the semi-automated Cumulus method on digital raw, “analogue-like” raw and processed images, and the performance of a recently developed method - Laboratory for Breast Radiodensity Assessment (LIBRA) - on digital raw and processed images, in a case-control study (414 patients (cases) and 684 controls) by evaluating the extent to which their measurements were associated with breast cancer risk factors, and by comparing their ability to predict breast cancer risk. Valid Cumulus and LIBRA measurements were obtained from all available images, but the resulting distributions differed according to the method and type of image used. Both Cumulus and LIBRA percent density were inversely associated with age, body mass index (BMI), parity and postmenopausal status, regardless of type of image used. Cumulus percent density was strongly associated with breast cancer risk, but with the magnitude of the association slightly stronger for processed (risk increase per one SD increase in percent density (95 % CI): 1.55 (1.29, 1.85)) and “analogue-like” raw (1.52 (1.28, 1.80)) than for raw (1.35 (1.14, 1.60)) images. LIBRA percent density produced weaker associations with risk, albeit stronger for processed (1.32 (1.08, 1.61)) than raw images (1.17 (0.99, 1.37)). The percent density values yielded by the various density assessment/type of image combinations had similar ability to discriminate between patients and controls (area under the receiving operating curve values for percent density, age, BMI, parity and menopausal status combined ranged from 0.61 and 0.64). The findings showed that Cumulus can be used to measure density on all types of digital images. They also indicate that LIBRA may provide a valid fully automated alternative to the more labour-intensive Cumulus. However, the same digital image type and assessment method should be used when examining mammographic density across populations, or longitudinal changes in density within a single population. The online version of this article (doi:10.1186/s13058-016-0756-7) contains supplementary material, which is available to authorized users.
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影响因子：
3.5
作者：
Kallenberg, Michiel G. J.;Lokate, Mariette;Karssemeijer, Nico
通讯作者：
Karssemeijer, Nico
DOI：
10.1158/1055-9965.epi-10-1150
发表时间：
2011-07
期刊：
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子：
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作者：
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通讯作者：
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1995-05-03
期刊：
JOURNAL OF THE NATIONAL CANCER INSTITUTE
影响因子：
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作者：
BOYD, NF;BYNG, JW;YAFFE, MJ
通讯作者：
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DOI：
10.1186/bcr3372
发表时间：
2013-01-04
期刊：
Breast cancer research : BCR
影响因子：
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DOI：
10.1158/1055-9965.epi-09-1059
发表时间：
2010-02
期刊：
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子：
--
作者：
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通讯作者：
dos Santos Silva I