Mammographic Density and Breast Cancer Characteristics

  • Kathy Ren
  • Elaine Harkness
  • Caroline Boggis
  • Soujanya Gadde
  • Mary Wilson
  • Yit Lim
  • Jamie Sergeant
  • Sigrid Whiteside
  • Julie Morris
  • Susan M. Astley
Conference paper

DOI: 10.1007/978-3-319-07887-8_41

Volume 8539 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Ren K. et al. (2014) Mammographic Density and Breast Cancer Characteristics. In: Fujita H., Hara T., Muramatsu C. (eds) Breast Imaging. IWDM 2014. Lecture Notes in Computer Science, vol 8539. Springer, Cham

Abstract

The aim of this research is to investigate, in a screening population, the relationship between mammographic density and tumour characteristics including size, invasiveness and mammographic features. Mammograms of 105 women with screen detected breast cancer were analysed; 111 lesions were identified. Volumetric density measurements were obtained using QuantaTM and VolparaTM. Histological information was extracted from the screening database and radiological features were assessed by two expert breast radiologists. Statistical analysis was performed using Mann-Whitney U test and Spearman’s rank order correlation. The median percentage density by VolparaTM of women with invasive cancers was significantly higher than those with DCIS (6.5 vs 5.0, p =0.046). Similar results were replicated in the QuantraTM measurements, however the results were not statistically significant (17 vs 16, p = 0.19). Further analysis showed a significant positive association between whole tumour size and volumetric density for invasive lesions. Architectural distortion was the only mammographic feature associated with a significant difference in percentage density.

Keywords

Screening mammogram cancer volumetric breast density invasive DCIS distortion 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Kathy Ren
    • 1
  • Elaine Harkness
    • 2
    • 3
    • 4
  • Caroline Boggis
    • 2
  • Soujanya Gadde
    • 2
  • Mary Wilson
    • 2
  • Yit Lim
    • 2
    • 3
  • Jamie Sergeant
    • 3
    • 5
    • 6
  • Sigrid Whiteside
    • 7
  • Julie Morris
    • 7
  • Susan M. Astley
    • 2
    • 3
    • 4
    • 8
  1. 1.Manchester Medical SchoolUniversity of ManchesterManchesterUK
  2. 2.Nightingale Centre and Genesis Prevention CentreUniversity Hospital of South ManchesterManchesterUK
  3. 3.Centre for Imaging Sciences, Institute of Population Health, Faculty of Medical and Human SciencesManchester Academic Health Science Centre, University of ManchesterManchesterUK
  4. 4.The University of Manchester, Manchester Academic Health Science CentreUniversity Hospital of South Manchester NHS Foundation TrustManchesterUK
  5. 5.Arthritis Research UK Centre for Epidemiology, Institute of Inflammation and Repair, Faculty of Medical and Human SciencesManchester Academic Health Science Centre, University of ManchesterManchesterUK
  6. 6.NIHR Manchester Musculoskeletal Biomedical Research Unit, Central Manchester NHS Foundation TrustManchester Academic Health Science CentreManchesterUK
  7. 7.Department of Medical StatisticsUniversity Hospital of South ManchesterManchesterUK
  8. 8.Manchester Breast Centre, Manchester Cancer Research CentreUniversity of Manchester, Christie HospitalManchesterUK