Clinical Radiology
Volume 62, Issue 11 , Pages 1052-1060 , November 2007

A comparison of some anthropometric parameters between an Italian and a UK population: “proof of principle” of a European project using MammoGrid

  • R. Warren

      Affiliations

    • Department of Radiology, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
    • Corresponding Author InformationGuarantor and correspondent: R. Warren, Department of Radiology, University of Cambridge, Addenbrooke's Hospital, Cambridge CB2 2QQ, UK. Tel.: +44 01223 586959/217627; fax: +44 01223 217886.
    • ,
  • D. Thompson

      Affiliations

    • Cancer Research-UK Genetic Epidemiology Group, University of Cambridge, Strangeway's Research Laboratory, Cambridge, UK
    • ,
  • C. del Frate

      Affiliations

    • Istituto di Radiologia, Universita di Udine, Italy
    • ,
  • M. Cordell

      Affiliations

    • Siemens Molecular Imaging, Oxford, UK
    • ,
  • R. Highnam

      Affiliations

    • Siemens Molecular Imaging, Oxford, UK
    • ,
  • C. Tromans

      Affiliations

    • Department of Engineering Science, Oxford University, Oxford, UK
    • ,
  • I. Warsi

      Affiliations

    • Department of Radiology, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
    • ,
  • J. Ding

      Affiliations

    • Department of Radiology, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
    • ,
  • E. Sala

      Affiliations

    • Department of Radiology, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
    • ,
  • F. Estrella

      Affiliations

    • CCCS Research Centre, University of West of England, Frenchay, Bristol, UK
    • ,
  • A.E. Solomonides

      Affiliations

    • CCCS Research Centre, University of West of England, Frenchay, Bristol, UK
    • ,
  • M. Odeh

      Affiliations

    • CCCS Research Centre, University of West of England, Frenchay, Bristol, UK
    • ,
  • R. McClatchey

      Affiliations

    • CCCS Research Centre, University of West of England, Frenchay, Bristol, UK
    • ,
  • M. Bazzocchi

      Affiliations

    • Istituto di Radiologia, Universita di Udine, Italy
    • ,
  • S.R. Amendolia

      Affiliations

    • ETT Division, CERN, Geneva, Switzerland
    • ,
  • M. Brady

      Affiliations

    • Department of Engineering Science, Oxford University, Oxford, UK

Received 21 May 2006 ,Revised 9 February 2007 ,Accepted 3 April 2007.

References 

  1. Boyd NF, Lockwood GA, Byng JW, et al. Mammographic densities and breast cancer risk. Cancer Epidemiol Biomarkers Prev. 1998;7:1133–1144
  2. Byrne C, Schairer C, Wolfe J, et al. Mammographic features and breast cancer risk: effects with time, age, and menopause status. J Natl Cancer Inst. 1995;87:1622–1629
  3. Couzin J. Breast cancer. Dissecting a hidden breast cancer risk. Science. 2005;309:1664–1666
  4. Slimani N, Kaaks R, Ferrari P, et al. European prospective investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics. Public Health Nutr. 2002;5(Suppl. B):1125–1145
  5. Highnam R, Pan X, Warren R, et al. Breast composition measurements using retrospective standard mammogram form (SMF). Phys Med Biol. 2006;51:2693–2713
  6. Wolfe JN. Breast patterns as an index of risk for developing breast cancer. AJR Am J Roentgenol. 1976;126:1130–1137
  7. Breast Imaging Reporting and Data System® Atlas. Report No.: P-BIRADSA Virginia: American College of Radiology; 2003;
  8. Boyd NF, Byng JW, Jong RA, et al. Quantitative classification of mammographic densities and breast cancer risk: results from the Canadian National Breast Screening Study. J Natl Cancer Inst. 1995;87:670–675
  9. Gram IT, Funkhouser E, Tabar L. The Tabar classification of mammographic parenchymal patterns. Eur J Radiol. 1997;24:131–136
  10. Byng JW, Boyd NF, Fishell E, et al. Automated analysis of mammographic densities. Phys Med Biol. 1996;41:909–923
  11. Highnam R, Brady M. Mammographic image analysis. 1st ed.. Dordrecht: Kluwer Academic Publishers; 1999;
  12. Marias K, Behrenbruch C, Highnam R, et al. A mammographic image analysis method to detect and measure changes in breast density. Eur J Radiol. 2004;52:276–282
  13. Hufton A, Astley S, Marchant T, et al. A method for the quantification of dense breast tissue from digitised mammograms. Proceedings of the IWDM 2004; in press.
  14. Pawluczyk O, Augustine B, Yaffe M, et al. A volumetric method for estimation of breast density on digitized screen-film mammograms. Med Phys. 2003;30:352–364
  15. Estrella F, McClatchey R, Rogulin D, et al. A service-based approach in managing mammography data. Medinfo. 2004;1585
  16. Amendolia SR, Brady M, McClatchey R, et al. MammoGrid: large-scale distributed mammogram analysis. Stud Health Technol Inform. 2003;95:194–199
  17. Highnam R, Brady M, Shepstone B. A representation for mammographic image processing. Med Image Anal. 1996;1:1–18
  18. van Duijnhoven F, Peeters P, Warren R, et al. Influence of estrogen receptor alpha and progesterone receptor polymorphisms on the effects of hormone therapy on mammographic density. Cancer Epidemiol Biomarkers Prev. 2006;15:462–467
  19. Sala E, Warren R, Duffy S, et al. High risk mammographic parenchymal patterns and diet: a case–control study. Br J Cancer. 2000;83:121–126
  20. Jeffreys M, Warren R, Highnam R, et al. Initial experiences of using an automated volumetric measure of breast density: the standard mammogram form. Br J Radiol. 2006;79:378–382
  21. Yaffe MJ, Boyd NF, Byng JW, et al. Breast cancer risk and measured mammographic density. Eur J Cancer Prev. 1998;7(Suppl. 1):S47–S55
  22. Vachon CM, Sellers TA, Vierkant RA, et al. Case–control study of increased mammographic breast density response to hormone replacement therapy. Cancer Epidemiol Biomarkers Prev. 2002;11:1382–1388
  23. Jeffreys M, Warren R, Gunnell D, et al. Life course breast cancer risk factors and adult breast density (United Kingdom). Cancer Causes Control. 2004;15:947–955
  24. Sala E, Warren R, McCann J, et al. Smoking and high-risk mammographic parenchymal patterns: a case–control study. Breast Cancer Res. 2000;2:59–63

PII: S0009-9260(07)00161-4

doi: 10.1016/j.crad.2007.04.002

Clinical Radiology
Volume 62, Issue 11 , Pages 1052-1060 , November 2007

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