Literature DB >> 7549820

Quantitative evaluation of mammographic densities: a comparison of methods of assessment.

H Lee-Han1, G Cooke, N F Boyd.   

Abstract

Differences in the proportion of the breast occupied by mammographic densities have been shown to be associated with differences in breast cancer risk. However, estimation of these densities by radiologists may be subject to error, and it is likely that quantitative measurement will reduce misclassification of densities and strengthen their association with risk of breast cancer. The objective of this study was to compare the extent of mammographic densities estimated subjectively by an experienced radiologist with the measured extent of densities using a digital planimeter. A total of 225 sets of mammograms from women aged 40-49 years and enrolled in the Canadian National Breast Screening Study (NBSS) were selected. The extent of the radiological densities was estimated visually by one radiologist. Independently, the total area of the breast and the areas of density were traced and measured using a digital planimeter. Visual estimations and measurements of mammographic densities were then compared to determine the extent of agreement between the two methods. In general, the two methods showed good agreement (kappa = 0.78). The measured area of mammographic densities tended to be slightly greater than the radiologist's estimations. Both methods were highly reproducible (radiologist-dependent method, kappa = 0.89; quantitative method, r = 0.95, P = 0.0001). Our results indicate that measurement of the area of mammographic density using a quantitative method is reliable, and correlates well with assessment by an experienced radiologist. The method may be useful for identifying women at increased risk of breast cancer.

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Year:  1995        PMID: 7549820     DOI: 10.1097/00008469-199508000-00003

Source DB:  PubMed          Journal:  Eur J Cancer Prev        ISSN: 0959-8278            Impact factor:   2.497


  9 in total

1.  Methods for assessing and representing mammographic density: an analysis of 4 case-control studies.

Authors:  Christy G Woolcott; Shannon M Conroy; Chisato Nagata; Giske Ursin; Celine M Vachon; Martin J Yaffe; Ian S Pagano; Celia Byrne; Gertraud Maskarinec
Journal:  Am J Epidemiol       Date:  2013-10-11       Impact factor: 4.897

2.  Association between mammographic density and age-related lobular involution of the breast.

Authors:  Karthik Ghosh; Lynn C Hartmann; Carol Reynolds; Daniel W Visscher; Kathleen R Brandt; Robert A Vierkant; Christopher G Scott; Derek C Radisky; Thomas A Sellers; V Shane Pankratz; Celine M Vachon
Journal:  J Clin Oncol       Date:  2010-03-29       Impact factor: 44.544

3.  A breast density index for digital mammograms based on radiologists' ranking.

Authors:  J M Boone; K K Lindfors; C S Beatty; J A Seibert
Journal:  J Digit Imaging       Date:  1998-08       Impact factor: 4.056

4.  Breast density influences tumor subtypes and tumor aggressiveness.

Authors:  Karla Kerlikowske; Amanda I Phipps
Journal:  J Natl Cancer Inst       Date:  2011-07-27       Impact factor: 13.506

5.  Mammographic breast density patterns among a group of women in sub Saharan Africa.

Authors:  M Galukande; E Kiguli-Malwadde
Journal:  Afr Health Sci       Date:  2012-12       Impact factor: 0.927

Review 6.  Vitamin D and mammographic breast density: a systematic review.

Authors:  Lusine Yaghjyan; Graham A Colditz; Bettina Drake
Journal:  Cancer Causes Control       Date:  2011-10-08       Impact factor: 2.506

7.  Reproducibility of BI-RADS breast density measures among community radiologists: a prospective cohort study.

Authors:  Mary C Spayne; Charlotte C Gard; Joan Skelly; Diana L Miglioretti; Pamela M Vacek; Berta M Geller
Journal:  Breast J       Date:  2012-05-21       Impact factor: 2.431

8.  Common breast cancer susceptibility variants in LSP1 and RAD51L1 are associated with mammographic density measures that predict breast cancer risk.

Authors:  Celine M Vachon; Christopher G Scott; Peter A Fasching; Per Hall; Rulla M Tamimi; Jingmei Li; Jennifer Stone; Carmel Apicella; Fabrice Odefrey; Gretchen L Gierach; Sebastian M Jud; Katharina Heusinger; Matthias W Beckmann; Marina Pollan; Pablo Fernández-Navarro; Anna Gonzalez-Neira; Javier Benitez; Carla H van Gils; Mariëtte Lokate; N Charlotte Onland-Moret; Petra H M Peeters; Judith Brown; Jean Leyland; Jajini S Varghese; Douglas F Easton; Deborah J Thompson; Robert N Luben; Ruth M L Warren; Nicholas J Wareham; Ruth J F Loos; Kay-Tee Khaw; Giske Ursin; Eunjung Lee; Simon A Gayther; Susan J Ramus; Rosalind A Eeles; Martin O Leach; Gek Kwan-Lim; Fergus J Couch; Graham G Giles; Laura Baglietto; Kavitha Krishnan; Melissa C Southey; Loic Le Marchand; Laurence N Kolonel; Christy Woolcott; Gertraud Maskarinec; Christopher A Haiman; Kate Walker; Nichola Johnson; Valeria A McCormack; Margarethe Biong; Grethe I G Alnaes; Inger Torhild Gram; Vessela N Kristensen; Anne-Lise Børresen-Dale; Sara Lindström; Susan E Hankinson; David J Hunter; Irene L Andrulis; Julia A Knight; Norman F Boyd; Jonine D Figuero; Jolanta Lissowska; Ewa Wesolowska; Beata Peplonska; Agnieszka Bukowska; Edyta Reszka; JianJun Liu; Louise Eriksson; Kamila Czene; Tina Audley; Anna H Wu; V Shane Pankratz; John L Hopper; Isabel dos-Santos-Silva
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-03-27       Impact factor: 4.254

9.  Evaluation of mammographic density patterns: reproducibility and concordance among scales.

Authors:  Macarena Garrido-Estepa; Francisco Ruiz-Perales; Josefa Miranda; Nieves Ascunce; Isabel González-Román; Carmen Sánchez-Contador; Carmen Santamariña; Pilar Moreo; Carmen Vidal; Mercé Peris; María P Moreno; Jose A Váquez-Carrete; Francisca Collado-García; Francisco Casanova; María Ederra; Dolores Salas; Marina Pollán
Journal:  BMC Cancer       Date:  2010-09-13       Impact factor: 4.430

  9 in total

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