Percentage density, Wolfe's and Tabar's mammographic patterns: agreement and association with risk factors for breast cancer

被引:76
作者
Gram, IT [1 ]
Bremnes, Y
Ursin, G
Maskarinec, G
Bjurstam, N
Lund, E
机构
[1] Univ Tromso, Inst Community Med, Breivika, Norway
[2] Univ Oslo, Inst Nutr Res, N-0316 Oslo, Norway
[3] Univ So Calif, Keck Sch Med, Dept Prevent Med, Los Angeles, CA USA
[4] Univ Hawaii, Canc Res Ctr Hawaii, Honolulu, HI 96813 USA
[5] Univ Hosp N Norway, Ctr Breast Imaging, Dept Radiol, Tromso, Norway
关键词
D O I
10.1186/bcr1308
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction The purpose of this report was to classify mammograms according to four methods and to examine their agreement and their relationship to selected risk factors for breast cancer. Method Mammograms and epidemiological data were collected from 987 women, aged 55 to 71 years, attending the Norwegian Breast Cancer Screening Program. Two readers each classified the mammograms according to a quantitative method ( Cumulus or Madena software) and one reader according to two qualitative methods (Wolfe and Tabar patterns). Mammograms classified in the reader-specific upper quartile of percentage density, Wolfe's P2 and DY patterns, or Tabar's IV and V patterns, were categorized as high-risk density patterns and the remaining mammograms as low-risk density patterns. We calculated intra-reader and inter-reader agreement and estimated prevalence odds ratios of having high-risk mammographic density patterns according to selected risk factors for breast cancer. Results The Pearson correlation coefficient was 0.86 for the two quantitative density measurements. There was moderate agreement between the Wolfe and Tabar classifications ( Kappa = 0.51; 95% confidence interval 0.46 to 0.56). Age at screening, number of children and body mass index ( BMI) showed a statistically significant inverse relationship with high-risk density patterns for all four methods ( all P < 0.05). After adjustment for percentage density, the Wolfe classification was not associated with any of the risk factors for breast cancer, whereas the association with number of children and BMI remained statistically significant for the Tabar classification. Adjustment for Wolfe or Tabar patterns did not alter the associations between these risk factors and percentage mammographic density. Conclusion The four assessments methods seem to capture the same overall associations with risk factors for breast cancer. Our results indicate that the quantitative methods convey additional information over the qualitative methods.
引用
收藏
页码:R854 / R861
页数:8
相关论文
共 54 条
[1]  
American college of Radiology, 1995, BREAST IM REP DAT SY
[2]   RADIOGRAPHIC PATTERNS OF THE MAMMARY PARENCHYMA - VARIATION WITH AGE AT EXAMINATION AND AGE AT 1ST BIRTH [J].
ANDERSSON, I ;
JANZON, L ;
PETTERSSON, H .
RADIOLOGY, 1981, 138 (01) :59-62
[3]   Red clover-derived isoflavones and mammographic breast density: a double-blind, randomized, placebo-controlled trial [ISRCTN42940165] [J].
Atkinson, C ;
Warren, RML ;
Sala, E ;
Dowsett, M ;
Dunning, AM ;
Healey, CS ;
Runswick, S ;
Day, NE ;
Bingham, SA .
BREAST CANCER RESEARCH, 2004, 6 (03) :R170-R179
[4]   The Gothenburg Breast Screening Trial [J].
Bjurstam, N ;
Björneld, L ;
Warwick, J ;
Sala, E ;
Duffy, SW ;
Nyström, L ;
Walker, N ;
Cahlin, E ;
Eriksson, O ;
Hafström, LO ;
Lingaas, H ;
Mattsson, J ;
Persson, S ;
Rudenstam, CM ;
Salander, H ;
Säve-Söderbergh, J ;
Wahlin, T .
CANCER, 2003, 97 (10) :2387-2396
[5]  
Boyd N F, 2001, IARC Sci Publ, V154, P163
[6]  
Boyd NF, 1998, CANCER EPIDEM BIOMAR, V7, P1133
[7]   QUANTITATIVE CLASSIFICATION OF MAMMOGRAPHIC DENSITIES AND BREAST-CANCER RISK - RESULTS FROM THE CANADIAN NATIONAL BREAST SCREENING STUDY [J].
BOYD, NF ;
BYNG, JW ;
JONG, RA ;
FISHELL, EK ;
LITTLE, LE ;
MILLER, AB ;
LOCKWOOD, GA ;
TRITCHLER, DL ;
YAFFE, MJ .
JOURNAL OF THE NATIONAL CANCER INSTITUTE, 1995, 87 (09) :670-675
[8]  
Brisson J, 2003, CANCER EPIDEM BIOMAR, V12, P728
[9]  
Byng JW, 1997, CANCER, V80, P66, DOI 10.1002/(SICI)1097-0142(19970701)80:1<66::AID-CNCR9>3.0.CO
[10]  
2-D