Evaluation of mammographic density patterns: reproducibility and concordance among scales

被引:40
作者
Garrido-Estepa, Macarena [1 ]
Ruiz-Perales, Francisco [2 ]
Miranda, Josefa [2 ,3 ]
Ascunce, Nieves [4 ]
Gonzalez-Romn, Isabel [5 ]
Sanchez-Contador, Carmen [6 ]
Santamarina, Carmen
Moreo, Pilar [7 ]
Vidal, Carmen [8 ]
Peris, Merce [8 ]
Moreno, Maria P. [7 ]
Vaquez-Carrete, Jose A.
Collado-Garcia, Francisca [6 ]
Casanova, Francisco [5 ]
Ederra, Maria [4 ]
Salas, Dolores [2 ,3 ]
Pollan, Marina [1 ]
机构
[1] Inst Salud Carlos III, Natl Ctr Epidemiol, Madrid, Spain
[2] Gen Directorate Publ Hlth, Valencia Breast Canc Screening Programme, Valencia, Spain
[3] Ctr Super Invest Salud Publ CSISP, Valencia, Spain
[4] Inst Publ Hlth, Navarra Breast Canc Screening Programme, Pamplona, Spain
[5] DG Salud Publ ID & I SACYL, Castilla Leon Breast Canc Screening Programme, Castilla y Leon, Spain
[6] Reg Author Hlth & Consumer Affairs, Balear Islands Breast Canc Screening Programme, Hlth Promot Women & Childhood Gen Directorate Pub, Balearic Isl, Spain
[7] Hlth Serv Aragon, Aragon Breast Canc Screening Programme, Zaragoza, Spain
[8] Catalan Inst Oncol ICO, Canc Prevent & Control Unit, Barcelona, Spain
来源
BMC CANCER | 2010年 / 10卷
关键词
BREAST-CANCER RISK; PARENCHYMAL PATTERNS; DIGITIZED MAMMOGRAMS; QUANTITATIVE ASSESSMENT; DATA SYSTEM; CLASSIFICATION; VARIABILITY; AGREEMENT;
D O I
10.1186/1471-2407-10-485
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Increased mammographic breast density is a moderate risk factor for breast cancer. Different scales have been proposed for classifying mammographic density. This study sought to assess intra-rater agreement for the most widely used scales (Wolfe, Tabar, BI-RADS and Boyd) and compare them in terms of classifying mammograms as high- or low-density. Methods: The study covered 3572 mammograms drawn from women included in the DDM-Spain study, carried-out in seven Spanish Autonomous Regions. Each mammogram was read by an expert radiologist and classified using the Wolfe, Tabar, BI-RADS and Boyd scales. In addition, 375 mammograms randomly selected were read a second time to estimate intra-rater agreement for each scale using the kappa statistic. Owing to the ordinal nature of the scales, weighted kappa was computed. The entire set of mammograms (3572) was used to calculate agreement among the different scales in classifying high/low-density patterns, with the kappa statistic being computed on a pair-wise basis. High density was defined as follows: percentage of dense tissue greater than 50% for the Boyd, "heterogeneously dense and extremely dense" categories for the BI-RADS, categories P2 and DY for the Wolfe, and categories IV and V for the Tabar scales. Results: There was good agreement between the first and second reading, with weighted kappa values of 0.84 for Wolfe, 0.71 for Tabar, 0.90 for BI-RADS, and 0.92 for Boyd scale. Furthermore, there was substantial agreement among the different scales in classifying high-versus low-density patterns. Agreement was almost perfect between the quantitative scales, Boyd and BI-RADS, and good for those based on the observed pattern, i.e., Tabar and Wolfe (kappa 0.81). Agreement was lower when comparing a pattern-based (Wolfe or Tabar) versus a quantitative-based (BI-RADS or Boyd) scale. Moreover, the Wolfe and Tabar scales classified more mammograms in the high-risk group, 46.61 and 37.32% respectively, while this percentage was lower for the quantitative scales (21.89% for BI-RADS and 21.86% for Boyd). Conclusions: Visual scales of mammographic density show a high reproducibility when appropriate training is provided. Their ability to distinguish between high and low risk render them useful for routine use by breast cancer screening programs. Quantitative-based scales are more specific than pattern-based scales in classifying populations in the high-risk group.
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页数:8
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