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Mammographic density assessed on paired raw and processed digital images and on paired screen-film and digital images across three mammography systems

  • Anya Burton
  • , Graham Byrnes
  • , Jennifer Stone
  • , Rulla M. Tamimi
  • , John Heine
  • , Celine Vachon
  • , Vahit Ozmen
  • , Ana Pereira
  • , Maria Luisa Garmendia
  • , Christopher Scott
  • , John H. Hipwell
  • , Caroline Dickens
  • , Joachim Schüz
  • , Mustafa Erkin Aribal
  • , Kimberly Bertrand
  • , Ava Kwong
  • , Graham G. Giles
  • , John Hopper
  • , Beatriz Pérez Gómez
  • , Marina Pollán
  • Soo-Hwang Teo, Shivaani Mariapun, Nur Aishah Mohd Taib, Martín Lajous, Ruy Lopez-Riduara, Megan Rice, Isabelle Romieu, Anath Arzee Flugelman, Giske Ursin, Samera Qureshi, Huiyan Ma, Eunjung Lee, Reza Sirous, Mehri Sirous, Jong Won Lee, Jisun Kim, Dorria Salem, Rasha Kamal, Mikael Hartman, Hui Miao, Kee-Seng Chia, Chisato Nagata, Sudhir Vinayak, Rose Ndumia, Carla H. van Gils, Johanna O. P. Wanders, Beata Peplonska, Agnieszka Bukowska, Steve Allen, Sarah Vinnicombe, Sue Moss, Anna M. Chiarelli, Linda Linton, Gertraud Maskarinec, Martin J. Yaffe, Norman F. Boyd, Isabel dos-Santos-Silva, Valerie A. McCormack, M Chiarelli
  • International Agency for Research on Cancer
  • Curtin University
  • Harvard Medical School
  • Moffitt Cancer Center
  • Mayo Clinic
  • Istanbul University
  • University of Chile
  • University College London
  • University of the Witwatersrand
  • Marmara University
  • Boston University
  • The University of Hong Kong
  • The University of Melbourne
  • Instituto de Salud Carlos III and CIBERESP
  • University Malaya
  • Cancer Research Malaysia
  • Harvard T.H. Chan School of Public Health
  • Instituto Nacional de Salud Pública
  • National Cancer Control Center
  • University of Oslo
  • Norwegian Center for Minority and Migrant Health Research (NAKMI)
  • Beckman Research Institute
  • University of Southern California
  • Isfahan University of Medical Sciences
  • Asan Medical Center
  • Cairo University
  • National University of Singapore
  • Gifu University
  • Aga Khan University
  • University Medical Center Utrecht
  • Nofer Institute of Occupational Medicine
  • Royal Marsden NHS Foundation Trust
  • Ninewells Hospital & Medical School
  • Queen Mary University of London
  • Cancer Care Ontario
  • Princess Margaret Cancer Centre
  • University of Hawaii Cancer Center
  • University of Toronto
  • London School of Hygiene & Tropical Medicine

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Inter-women and intra-women comparisons of mammographic density (MD) are needed in research, clinical and screening applications; however, MD measurements are influenced by mammography modality (screen film/ digital) and digital image format (raw/processed). We aimed to examine differences in MD assessed on these image types.

Methods: We obtained 1294 pairs of images saved in both raw and processed formats from Hologic and General Electric (GE) direct digital systems and a Fuji computed radiography (CR) system, and 128 screen-film and processed CR-digital pairs from consecutive screening rounds. Four readers performed Cumulus-based MD measurements (n = 3441), with each image pair read by the same reader. Multi-level models of square-root percent MD were fitted, with a random intercept for woman, to estimate processed–raw MD differences.

Results: Breast area did not differ in processed images compared with that in raw images, but the percent MD was higher, due to a larger dense area (median 28.5 and 25.4 cm2 respectively, mean √dense area difference 0.44 cm (95% CI: 0.36, 0.52)). This difference in √dense area was significant for direct digital systems (Hologic 0.50 cm (95% CI: 0.39, 0.61), GE 0.56 cm (95% CI: 0.42, 0.69)) but not for Fuji CR (0.06 cm (95% CI: −0.10, 0.23)). Additionally, within each system, reader-specific differences varied in magnitude and direction (p < 0.001). Conversion equations revealed differences converged to zero with increasing dense area. MD differences between screen-film and processed digital on the subsequent screening round were consistent with expected time-related MD declines.

Conclusions: MD was slightly higher when measured on processed than on raw direct digital mammograms. Comparisons of MD on these image formats should ideally control for this non-constant and reader-specific difference.

Original languageAmerican English
JournalImaging & Diagnostic Radiology, East Africa
Volume12
Issue number18
StatePublished - Dec 1 2016

Keywords

  • Breast density
  • Image processing
  • Mammographic density assessment
  • Breast cancer
  • Methods

Disciplines

  • Radiology

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