کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5726075 1609727 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Research paperLocal breast density assessment using reacquired mammographic images
ترجمه فارسی عنوان
ارزیابی تراکم محلی با استفاده از تصاویر ماموگرافی مجدد
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی رادیولوژی و تصویربرداری
چکیده انگلیسی

PurposeThe aim of this paper is to evaluate the spatial glandular volumetric tissue distribution as well as the density measures provided by Volpara™ using a dataset composed of repeated pairs of mammograms, where each pair was acquired in a short time frame and in a slightly changed position of the breast.Materials and methodsWe conducted a retrospective analysis of 99 pairs of repeatedly acquired full-field digital mammograms from 99 different patients. The commercial software Volpara™ Density Maps (Volpara Solutions, Wellington, New Zealand) is used to estimate both the global and the local glandular tissue distribution in each image. The global measures provided by Volpara™, such as breast volume, volume of glandular tissue, and volumetric breast density are compared between the two acquisitions. The evaluation of the local glandular information is performed using histogram similarity metrics, such as intersection and correlation, and local measures, such as statistics from the difference image and local gradient correlation measures.ResultsGlobal measures showed a high correlation (breast volume R = 0.99, volume of glandular tissue R = 0.94, and volumetric breast density R = 0.96) regardless the anode/filter material. Similarly, histogram intersection and correlation metric showed that, for each pair, the images share a high degree of information. Regarding the local distribution of glandular tissue, small changes in the angle of view do not yield significant differences in the glandular pattern, whilst changes in the breast thickness between both acquisition affect the spatial parenchymal distribution.ConclusionsThis study indicates that Volpara™ Density Maps is reliable in estimating the local glandular tissue distribution and can be used for its assessment and follow-up. Volpara™ Density Maps is robust to small variations of the acquisition angle and to the beam energy, although divergences arise due to different breast compression conditions.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Radiology - Volume 93, August 2017, Pages 121-127
نویسندگان
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