Similarity of Fibroglandular Breast Tissue Content Measured from Magnetic Resonance and Mammographic Images and by a Mathematical Algorithm
المؤلفون المشاركون
Brunder, Donald G.
Ju, Hyunsu
Nayeem, Fatima
Khamapirad, Tuenchit
Anderson, Karl E.
Lu, Lee-Jane W.
Nagamani, Manubai
المصدر
International Journal of Breast Cancer
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-07-15
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
Women with high breast density (BD) have a 4- to 6-fold greater risk for breast cancer than women with low BD.
We found that BD can be easily computed from a mathematical algorithm using routine mammographic imaging data or by a curve-fitting algorithm using fat and nonfat suppression magnetic resonance imaging (MRI) data.
These BD measures in a strictly defined group of premenopausal women providing both mammographic and breast MRI images were predicted as well by the same set of strong predictor variables as were measures from a published laborious histogram segmentation method and a full field digital mammographic unit in multivariate regression models.
We also found that the number of completed pregnancies, C-reactive protein, aspartate aminotransferase, and progesterone were more strongly associated with amounts of glandular tissue than adipose tissue, while fat body mass, alanine aminotransferase, and insulin like growth factor-II appear to be more associated with the amount of breast adipose tissue.
Our results show that methods of breast imaging and modalities for estimating the amount of glandular tissue have no effects on the strength of these predictors of BD.
Thus, the more convenient mathematical algorithm and the safer MRI protocols may facilitate prospective measurements of BD.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Nayeem, Fatima& Ju, Hyunsu& Brunder, Donald G.& Nagamani, Manubai& Anderson, Karl E.& Khamapirad, Tuenchit…[et al.]. 2014. Similarity of Fibroglandular Breast Tissue Content Measured from Magnetic Resonance and Mammographic Images and by a Mathematical Algorithm. International Journal of Breast Cancer،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-511705
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Nayeem, Fatima…[et al.]. Similarity of Fibroglandular Breast Tissue Content Measured from Magnetic Resonance and Mammographic Images and by a Mathematical Algorithm. International Journal of Breast Cancer No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-511705
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Nayeem, Fatima& Ju, Hyunsu& Brunder, Donald G.& Nagamani, Manubai& Anderson, Karl E.& Khamapirad, Tuenchit…[et al.]. Similarity of Fibroglandular Breast Tissue Content Measured from Magnetic Resonance and Mammographic Images and by a Mathematical Algorithm. International Journal of Breast Cancer. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-511705
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-511705
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر