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Association of Microcalcification Clusters with Short-term Invasive Breast Cancer Risk and Breast Cancer Risk Factors.

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  • معلومة اضافية
    • المصدر:
      Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: London : Nature Publishing Group, copyright 2011-
    • الموضوع:
      Mammography*; Breast Neoplasms/*diagnostic imaging ; Calcinosis/*diagnostic imaging; Aged ; Algorithms ; Body Mass Index ; Breast Neoplasms/pathology ; Calcinosis/pathology ; Carcinoma, Ductal, Breast/diagnostic imaging ; Carcinoma, Ductal, Breast/pathology ; Female ; Humans ; Middle Aged ; Pattern Recognition, Automated ; Postmenopause ; Radiographic Image Interpretation, Computer-Assisted ; Regression Analysis ; Risk Factors
    • نبذة مختصرة :
      Using for-presentation and for-processing digital mammograms, the presence of microcalcifications has been shown to be associated with short-term risk of breast cancer. In a previous article we developed an algorithm for microcalcification cluster detection from for-presentation digital mammograms. Here, we focus on digitised mammograms and use a three-step algorithm. In total, 253 incident invasive breast cancer cases (with a negative mammogram between three months and two years before diagnosis, from which we measured microcalcifications) and 728 controls (also with prior mammograms) were included in a short-term risk study. After adjusting for potential confounding variables, we found evidence of an association between the number of microcalcification clusters and short-term (within 3-24 months) invasive breast cancer risk (per cluster OR = 1.30, 95% CI = (1.11, 1.53)). Using the 728 postmenopausal healthy controls, we also examined association of microcalcification clusters with reproductive factors and other established breast cancer risk factors. Age was positively associated with the presence of microcalcification clusters (p = 4 × 10 -04 ). Of ten other risk factors that we studied, life time breastfeeding duration had the strongest evidence of association with the presence of microcalcifications (positively associated, unadjusted p = 0.001). Developing algorithms, such as ours, which can be applied on both digitised and digital mammograms (in particular for presentation images), is important because large epidemiological studies, for deriving markers of (clinical) risk prediction of breast cancer and prognosis, can be based on images from these different formats.
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    • الموضوع:
      Date Created: 20191012 Date Completed: 20201201 Latest Revision: 20210110
    • الموضوع:
      20221213
    • الرقم المعرف:
      PMC6787239
    • الرقم المعرف:
      10.1038/s41598-019-51186-w
    • الرقم المعرف:
      31601987