دورية أكاديمية
أعرض في EDS

Mammographic texture and risk of breast cancer by tumor type and estrogen receptor status.

التفاصيل البيبلوغرافية
العنوان: Mammographic texture and risk of breast cancer by tumor type and estrogen receptor status.
المؤلفون: Malkov S; Department of Radiology and Biomedical Imaging, UCSF School of Medicine, San Francisco, CA, USA. serghei.malkov@ucsf.edu., Shepherd JA; Department of Radiology and Biomedical Imaging, UCSF School of Medicine, San Francisco, CA, USA., Scott CG; Mayo Clinic, Rochester, MN, USA., Tamimi RM; Harvard Medical School, Boston, MA, USA., Ma L; UCSF Departments of Medicine and Epidemiology/Biostatistics, San Francisco, CA, USA., Bertrand KA; Slone Epidemiology Center at Boston University, Boston, MA, USA., Couch F; Mayo Clinic, Rochester, MN, USA., Jensen MR; Mayo Clinic, Rochester, MN, USA., Mahmoudzadeh AP; Department of Radiology and Biomedical Imaging, UCSF School of Medicine, San Francisco, CA, USA., Fan B; Department of Radiology and Biomedical Imaging, UCSF School of Medicine, San Francisco, CA, USA., Norman A; Mayo Clinic, Rochester, MN, USA., Brandt KR; Mayo Clinic, Rochester, MN, USA., Pankratz VS; Mayo Clinic, Rochester, MN, USA., Vachon CM; Mayo Clinic, Rochester, MN, USA., Kerlikowske K; UCSF Departments of Medicine and Epidemiology/Biostatistics, San Francisco, CA, USA.
المصدر: Breast cancer research : BCR [Breast Cancer Res] 2016 Dec 06; Vol. 18 (1), pp. 122. Date of Electronic Publication: 2016 Dec 06.
نوع المنشور: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100927353 Publication Model: Electronic Cited Medium: Internet ISSN: 1465-542X (Electronic) Linking ISSN: 14655411 NLM ISO Abbreviation: Breast Cancer Res Subsets: MEDLINE
أسماء مطبوعة: Publication: London, UK : BioMed Central Ltd
Original Publication: London, UK : Current Science, c1999-
مواضيع طبية MeSH: Breast Density*, Breast Neoplasms/*diagnostic imaging , Mammography/*methods , Receptors, Estrogen/*metabolism, Aged ; Body Mass Index ; Breast Neoplasms/diagnosis ; Breast Neoplasms/metabolism ; Carcinoma, Intraductal, Noninfiltrating/diagnosis ; Carcinoma, Intraductal, Noninfiltrating/diagnostic imaging ; Carcinoma, Intraductal, Noninfiltrating/metabolism ; Case-Control Studies ; Female ; Fractals ; Humans ; Logistic Models ; Mass Screening/methods ; Middle Aged ; Risk Assessment/methods ; Risk Factors
مستخلص: Background: Several studies have shown that mammographic texture features are associated with breast cancer risk independent of the contribution of breast density. Thus, texture features may provide novel information for risk stratification. We examined the association of a set of established texture features with breast cancer risk by tumor type and estrogen receptor (ER) status, accounting for breast density.
Methods: This study combines five case-control studies including 1171 breast cancer cases and 1659 controls matched for age, date of mammogram, and study. Mammographic breast density and 46 breast texture features, including first- and second-order features, Fourier transform, and fractal dimension analysis, were evaluated from digitized film-screen mammograms. Logistic regression models evaluated each normalized feature with breast cancer after adjustment for age, body mass index, first-degree family history, percent density, and study.
Results: Of the mammographic features analyzed, fractal dimension and second-order statistics features were significantly associated (p < 0.05) with breast cancer. Fractal dimensions for the thresholds equal to 10% and 15% (FD_TH_10 [corrected] and FD_TH_15) [corrected] were associated with an increased risk of breast cancer while thresholds from 60% to 85% (FD_TH_60 to FD_TH_85) [corrected] were associated with a decreased risk. Increasing the FD_TH_75 [corrected] and Energy feature values were associated with a decreased risk of breast cancer while increasing Entropy was associated with an increased [corrected] risk of breast cancer. For example, 1 standard deviation increase of FD_TH_75 [corrected] was associated with a 13% reduced risk of breast cancer (odds ratio = 0.87, 95% confidence interval 0.79-0.95). Overall, the direction of associations between features and ductal carcinoma in situ (DCIS) and invasive cancer, and estrogen receptor positive and negative cancer were similar.
Conclusion: Mammographic features derived from film-screen mammograms are associated with breast cancer risk independent of percent mammographic density. Some texture features also demonstrated associations for specific tumor types. For future work, we plan to assess risk prediction combining mammographic density and features assessed on digital images.
التعليقات: Erratum in: Breast Cancer Res. 2017 Jan 4;19(1):1. (PMID: 28052757)
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معلومات مُعتمدة: R01 CA050385 United States CA NCI NIH HHS; R01 CA166945 United States CA NCI NIH HHS; R01 CA128931 United States CA NCI NIH HHS; U01 CA063740 United States CA NCI NIH HHS; R01 CA176785 United States CA NCI NIH HHS; P01 CA087969 United States CA NCI NIH HHS; R01 CA097396 United States CA NCI NIH HHS; UM1 CA176726 United States CA NCI NIH HHS; P01 CA154292 United States CA NCI NIH HHS; R01 CA124865 United States CA NCI NIH HHS; U01 CA116167 United States CA NCI NIH HHS; R01 CA175080 United States CA NCI NIH HHS; P50 CA058207 United States CA NCI NIH HHS; R01 CA116167 United States CA NCI NIH HHS; P50 CA116201 United States CA NCI NIH HHS; UM1 CA186107 United States CA NCI NIH HHS; R21 CA157254 United States CA NCI NIH HHS; R01 CA131332 United States CA NCI NIH HHS; R01 CA140286 United States CA NCI NIH HHS
المشرفين على المادة: 0 (Receptors, Estrogen)
تواريخ الأحداث: Date Created: 20161208 Date Completed: 20180129 Latest Revision: 20181113
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC5139106
DOI: 10.1186/s13058-016-0778-1
PMID: 27923387
قاعدة البيانات: MEDLINE
الوصف
تدمد:1465-542X
DOI:10.1186/s13058-016-0778-1