Literature DB >> 16333166

Method for determination of the mean fraction of glandular tissue in individual female breasts using mammography.

J T M Jansen1, W J H Veldkamp, M A O Thijssen, S van Woudenberg, J Zoetelief.   

Abstract

The nationwide breast cancer screening programme using mammography has been in full operation in the Netherlands since 1997. Quality control of the screening programme has been assigned to the National Expert and Training Centre for Breast Cancer Screening. Limits are set to the mean glandular dose and the centre monitors these for all facilities engaged in the screening programme. This procedure is restricted to the determination of the entrance dose on a 5 cm thick polymethylmethacrylate (PMMA) phantom. The mean glandular dose for a compressed breast is estimated from these data. Individual breasts may deviate largely from this 5 cm PMMA breast model. Not only may the compressed breast size vary from 2 to 10 cm, but breast composition varies also. The mean glandular dose is dependent on the fraction of glandular tissue (glandularity) of the breast. To estimate the risk related to individual mammograms requires the development of a method for determination of the glandularity of individual breasts. A method has been developed to derive the glandularity using the attenuation of mammography x-rays in the breast. The method was applied to a series of mammograms at a screening unit. The results, i.e., a glandularity of 93% within the range of 0 to 1, were comparable with data in the literature. The glandularity as a function of compressed breast thickness is similar to results from other investigators using differing methods.

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Year:  2005        PMID: 16333166     DOI: 10.1088/0031-9155/50/24/013

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  3 in total

1.  A Quantification Method for Breast Tissue Thickness and Iodine Concentration Using Photon-Counting Detector.

Authors:  Seokmin Han
Journal:  J Digit Imaging       Date:  2015-10       Impact factor: 4.056

2.  Comparison of a personalized breast dosimetry method with standard dosimetry protocols.

Authors:  Elisabeth Salomon; Peter Homolka; Friedrich Semturs; Michael Figl; Michael Gruber; Johann Hummel
Journal:  Sci Rep       Date:  2019-04-10       Impact factor: 4.379

3.  A Novel mRNA-miRNA Regulatory Sub-Network Associated With Prognosis of Metastatic Clear Cell Renal Cell Carcinoma.

Authors:  Tianyu Yang; Xiaofen Miao; Zhanxiang Bai; Jian Tu; Shanshan Shen; Hui Niu; Wei Xia; Juan Wang; Yongsheng Zhang
Journal:  Front Oncol       Date:  2021-01-19       Impact factor: 6.244

  3 in total

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