Computerized assessment of tissue composition on digitized mammograms
Computerized assessment of tissue composition on digitized mammograms
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DOI：
10.1016/s1076-6332(03)80459-2
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发表时间：
2002-08-01
影响因子：
4.8
通讯作者：
Gur, D
中科院分区：
文献类型：
--
作者：
Chang, YH;Wang, XH;Gur, D
基本原理和目标。作者开发了一种计算机方法，用于数字化乳房x光片上乳腺组织成分的定量评估。材料与方法。三名放射科医生被要求审查200张数字化乳房x光照片，并独立提供一个类似于乳腺成像报告和数据系统的乳房组织成分评级，评分范围从0到4。这些值被纳入“共识”评级，作为制定和评价计算机化方法的参考点。排除非组织区域的组织分割后，计算一组定量特征。开发了一个计算机化的汇总索引，试图重现放射科医生的评分。相关系数（Pearson r）用于比较计算机化指数与共识评分。对于相对致密的乳房区域，计算出的一些个体特征与放射科医生的主观评分有很好的相关性（r>0.8）。组织成分的汇总指数也有显著的相关性（r=0.87）。可以开发出与放射科医生对乳腺组织组成的评分有良好相关性的计算机化方法。
Rationale and Objectives. The authors developed a computerized method for the quantitative assessment of breast tissue composition on digitized mammograms.Materials and Methods. Three radiologists were asked to review 200 digitized mammograms and independently provide a Breast Imaging Reporting and Data System-like rating for breast tissue composition on a scale of 0 to 4. These values were incorporated into a "consensus" rating that was used as a reference point in the development and evaluation of a computerized method. After tissue segmentation that excluded nontissue areas, a set of quantitative features was computed. A computerized summary index that attempts to reproduce the radiologists' ratings was developed. Correlation coefficients (Pearson r) were used to compare the computerized index with the consensus ratings.Results. Some individual features computed for the relatively dense breast areas showed good correlation (r>0.8) with the radiologists' subjective ratings. The summary index of tissue composition demonstrated a significant correlation (r=0.87), as well.Conclusion. Computerized methods that show good correlation with radiologists' ratings of breast tissue composition can be developed.