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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 Publisher Pubmed



Burton A1 ; Byrnes G1 ; Stone J2 ; Tamimi RM3 ; Heine J4 ; Vachon C5 ; Ozmen V6 ; Pereira A7 ; Garmendia ML8 ; Scott C5 ; Hipwell JH8 ; Dickens C9 ; Schuz J1 ; Aribal ME10 Show All Authors
Authors
  1. Burton A1
  2. Byrnes G1
  3. Stone J2
  4. Tamimi RM3
  5. Heine J4
  6. Vachon C5
  7. Ozmen V6
  8. Pereira A7
  9. Garmendia ML8
  10. Scott C5
  11. Hipwell JH8
  12. Dickens C9
  13. Schuz J1
  14. Aribal ME10
  15. Bertrand K11
  16. Kwong A12, 13
  17. Giles GG14, 15
  18. Hopper J15
  19. Perez Gomez B16
  20. Pollan M16
  21. Teo SH17, 18
  22. Mariapun S18
  23. Taib NAM17
  24. Lajous M19, 20
  25. Lopezriduara R20
  26. Rice M3
  27. Romieu I21
  28. Flugelman AA22
  29. Ursin G23, 24, 25
  30. Qureshi S26
  31. Ma H27
  32. Lee E25
  33. Sirous R28
  34. Sirous M28
  35. Lee JW29
  36. Kim J29
  37. Salem D30
  38. Kamal R31
  39. Hartman M32, 33
  40. Miao H33
  41. Chia KS34
  42. Nagata C35
  43. Vinayak S36
  44. Ndumia R36
  45. Van Gils CH37
  46. Wanders JOP37
  47. Peplonska B38
  48. Bukowska A38
  49. Allen S39
  50. Vinnicombe S40
  51. Moss S41
  52. Chiarelli AM42
  53. Linton L43
  54. Maskarinec G44
  55. Yaffe MJ45
  56. Boyd NF43
  57. Dossantossilva I46
  58. Mccormack VA1
Show Affiliations
Authors Affiliations
  1. 1. International Agency for Research on Cancer, Section of Environment and Radiation, 150 cours Albert Thomas, Lyon, Cedex 09, 69372, France
  2. 2. Centre for Genetic Origins of Health and Disease, Curtin University and the University of Western Australia, Perth, Australia
  3. 3. Harvard Medical School, Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States
  4. 4. Moffitt Cancer Center, Tampa, FL, United States
  5. 5. Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States
  6. 6. Istanbul University, Department of Surgery, Istanbul Faculty of Medicine, Istanbul, Turkey
  7. 7. Institute of Nutrition and Food Technology, University of Chile, Santiago, Chile
  8. 8. University College London, Centre for Medical Image Computing, London, United Kingdom
  9. 9. University of the Witwatersrand, Faculty of Health Sciences, Johannesburg, South Africa
  10. 10. Marmara University School of Medicine Department of Radiology, Istanbul, Turkey
  11. 11. Boston University, Slone Epidemiology Center, Boston, MA, United States
  12. 12. The University of Hong Kong, Division of Breast Surgery, Department of Surgery, Hong Kong
  13. 13. Hong Kong Sanatorium and Hospital, Department of Surgery, Hong Kong
  14. 14. Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia
  15. 15. The University of Melbourne, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, Melbourne, VIC, Australia
  16. 16. Cancer Epidemiology Unit, Instituto de Salud Carlos III and CIBERESP, Madrid, Spain
  17. 17. University Malaya Medical Centre, University Malaya, Breast Cancer Research Group, Kuala Lumpur, Malaysia
  18. 18. Cancer Research Malaysia, Subang Jaya, Malaysia
  19. 19. Harvard T.H. Chan School of Public Health, Department of Global Health and Population, Boston, MA, United States
  20. 20. Center for Research on Population Health, Instituto Nacional de Salud Publica, Mexico City, Mexico
  21. 21. International Agency for Research on Cancer, Section of Nutrition and Metabolism, Lyon, France
  22. 22. National Cancer Control Center, Haifa, Israel
  23. 23. Cancer Registry of Norway, Oslo, Norway
  24. 24. Institute of Basic Medical Sciences, University of Oslo, Department of Nutrition, Oslo, Norway
  25. 25. University of Southern California, Department of Preventive Medicine, Los Angeles, CA, United States
  26. 26. Norwegian Center for Minority and Migrant Health Research (NAKMI), Oslo, Norway
  27. 27. Beckman Research Institute, Department of Population Sciences, City of Hope, CA, United States
  28. 28. Isfahan University of Medical Sciences, Isfahan, Iran
  29. 29. Asan Medical Center, Department of Surgery, Seoul, South Korea
  30. 30. Cairo University, Cairo, Egypt
  31. 31. Cairo University Hospitals, Woman Imaging Unit, Radiodiagnosis Department, Kasr El Aini, Cairo, Egypt
  32. 32. Yong Loo Lin School of Medicine, Department of Surgery, Singapore, Singapore
  33. 33. National University of Singapore, Saw Swee Hock School of Public Health, Singapore, Singapore
  34. 34. National University of Singapore, NUS Graduate School for Integrative Sciences and Engineering, Singapore, Singapore
  35. 35. Gifu University, Gifu, Japan
  36. 36. Aga Khan University Hospital, Nairobi, Kenya
  37. 37. University Medical Center Utrecht, Julius Center for Health Sciences and Primary Care, Utrecht, Netherlands
  38. 38. Nofer Institute of Occupational Medicine, Lodz, Poland
  39. 39. Royal Marsden NHS Foundation Trust, Department of Imaging, London, United Kingdom
  40. 40. Ninewells Hospital and Medical School, Division of Cancer Research, Dundee, United Kingdom
  41. 41. Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom
  42. 42. Cancer Care Ontario, Ontario Breast Screening Program, Toronto, Canada
  43. 43. Princess Margaret Cancer Centre, Toronto, Canada
  44. 44. University of Hawaii Cancer Center, Honolulu, HI, United States
  45. 45. University of Toronto, Medical Biophysics, Toronto, Canada
  46. 46. London School of Hygiene and Tropical Medicine, Department of Non-Communicable Disease Epidemiology, London, United Kingdom

Source: Breast Cancer Research Published:2016


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 25.4cm2 respectively, mean √dense area difference 0.44cm (95% CI: 0.36, 0.52)). This difference in √dense area was significant for direct digital systems (Hologic 0.50cm (95% CI: 0.39, 0.61), GE 0.56cm (95% CI: 0.42, 0.69)) but not for Fuji CR (0.06cm (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. © 2016 The Author(s).
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