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Changes in breast density over time using automatic density measures. Preliminary analysis.

机译:使用自动密度测量,乳房密度随时间变化。初步分析。

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Breast density is an important risk factor for the development of breast cancer. The aim of this paper is to evaluate temporal breast density changes using density maps, provided by the commercial software Volpara™. The dataset is composed of 563 mammograms from 55 patients (aged between 24 and 75 years old). The time frame between two acquisitions varies from less than one year to 4 years. Pairs of mammograms are registered using the morphons registration algorithm, in order to evaluate the structural similarity of the parenchymal distribution between the two acquisitions. To provide a fair comparison, the results are divided considering the patient age during the first mammographic acquisition and the time between the two studies. To evaluate the changes in breast density, local and global measures, such as the rate of change of the volumetric breast density, the histogram intersection between two density maps and the normalized cross-correlation after the registration, are considered. The results show significant differences in the statistics, mainly focused on patients younger than 30 years old and ranged between 56 and 65 years old with respect to those in the adulthood (between 30 and 55 years old). Similarly, the time between the two mammographic acquisitions shows a significant difference for patients older than 56 years old considering one and two year of difference between the two studies.
机译:乳房密度是乳腺癌发展的重要危险因素。本文的目的是使用由商业软件Volpara™提供的密度图评估乳房的暂时性密度变化。该数据集由来自55位患者(年龄在24至75岁之间)的563张乳房X线照片组成。两次收购之间的时间范围从不到一年到4年不等。使用吗子配准算法配准成对的乳房X线照片,以评估两次采集之间实质分布的结构相似性。为了提供公平的比较,对结果进行划分时应考虑第一次乳房X线照相术期间的患者年龄以及两次研究之间的时间。为了评估乳房密度的变化,考虑了局部和整体测量,例如体积乳房密度的变化率,两个密度图之间的直方图相交以及配准后的归一化互相关。结果显示统计学上的显着差异,主要集中于30岁以下的患者,相对于成年(30至55岁)的患者,年龄介于56至65岁之间。同样,考虑到两项研究之间相差一年和两年,两次X线摄片之间的时间间隔对于56岁以上的患者显示出显着差异。

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