Journal of Digital Imaging

, Volume 26, Issue 4, pp 768–773 | Cite as

Detection of Breast Cancer with a Computer-Aided Detection Applied to Full-Field Digital Mammography

  • Ryusuke Murakami
  • Shinichiro Kumita
  • Hitomi Tani
  • Tamiko Yoshida
  • Kenichi Sugizaki
  • Tomoyuki Kuwako
  • Tomonari Kiriyama
  • Kenta Hakozaki
  • Emi Okazaki
  • Keiko Yanagihara
  • Shinya Iida
  • Shunsuke Haga
  • Shinichi Tsuchiya
Article
First Online:

Abstract

A study was conducted to evaluate the sensitivity of computer-aided detection (CAD) with full-field digital mammography in detection of breast cancer, based on mammographic appearance and histopathology. Retrospectively, CAD sensitivity was assessed in total group of 152 cases for subgroups based on breast density, mammographic presentation, lesion size, and results of histopathological examination. The overall sensitivity of CAD was 91 % (139 of 152 cases). CAD detected 100 % (47/47) of cancers manifested as microcalcifications; 98 % (62/63) of those manifested as non-calcified masses; 100 % (15/15) of those manifested as mixed masses and microcalcifications; 75 % (12/16) of those manifested as architectural distortions, and 69 % (18/26) of those manifested as focal asymmetry. CAD sensitivity was 83 % (10/12) for cancers measuring 1–10 mm, 92 % (37/40) for those measuring 11–20 mm, and 92 % (92/100) for those measuring >20 mm. There was no significant difference in CAD detection efficiency between cancers in dense breasts (88 %; 69/78) and those in non-dense breasts (95 %; 70/74). CAD showed a high sensitivity of 91 % (139/152) for the mammographic appearance of cancer and 100 % sensitivity for identifying cancers manifested as microcalcifications. Sensitivity was not influenced by breast density or lesion size. CAD should be effective for helping radiologists detect breast cancer at an earlier stage.

Keywords

Breast neoplasm Cancer detection Computer-aided diagnosis (CAD) Digital mammography 
This is a preview of subscription content, log in to check access.

Notes

Declaration of interest

The authors report no conflicts of interest and are alone responsible for the content and writing of this paper.

References

  1. 1.
    Shtern F: Digital mammography and related technologies: a perspective from the National Cancer Institute. Radiology 183:629–630, 1992PubMedGoogle Scholar
  2. 2.
    Pisano ED, Yaffe MJ: Digital mammography. Radiology 234:353–362, 2005PubMedCrossRefGoogle Scholar
  3. 3.
    Yang SK, Moon WK, Cho N, Park JS, Cha JH, Kim SM, Kim SJ, Im JG: Screening mammography-detected cancers: sensitivity of a computer-aided detection system applied to full-field digital mammograms. Radiology 244:104–111, 2007PubMedCrossRefGoogle Scholar
  4. 4.
    The JS, Schilling KJ, Hoffmeister JW, Friedmann E, McGinnis R, Holcomb RG: Detection of breast cancer with full-field digital mammography and computer-aided detection. AJR Am J Roentgenol 192:337–340, 2009PubMedCrossRefGoogle Scholar
  5. 5.
    Baum F, Fischer U, Obenauer S, Grabbe E: Computer-aided detection in direct digital full-field mammography: initial results. Eur Radiol 12:3015–3017, 2002PubMedGoogle Scholar
  6. 6.
    Kim SJ, Moon WK, Cho N, Cha JH, Kim SM, Im JG: Computer-aided detection in digital mammography: comparison of craniocaudal, mediolateral oblique, and mediolateral views. Radiology 241:695–701, 2006PubMedCrossRefGoogle Scholar
  7. 7.
    Skaane P, Kshirsagar A, Stapleton S, Young K, Castellino RA: Effect of computer-aided detection on independent double reading of paired screen-film and full-field digital screening mammograms. AJR Am J Roentgenol 188:377–384, 2007PubMedCrossRefGoogle Scholar
  8. 8.
    Kim SJ, Moon WK, Cho N, Cha JH, Kim SM, Im JG: Computer-aided detection in full-field digital mammography: sensitivity and reproducibility in serial examinations. Radiology 246:71–80, 2008PubMedCrossRefGoogle Scholar
  9. 9.
    Brancato B, Houssami N, Francesca D, Bianchi S, Risso G, Catarzi S, Taschini R, Rosselli Del Turco M, Ciatto S: Does computer-aided detection (CAD) contribute to the performance of digital mammography in a self-referred population? Breast Cancer Res Treat 111:373–376, 2008PubMedCrossRefGoogle Scholar
  10. 10.
    van den Biggelaar FJ, Kessels AG, van Engelshoven JM, Boetes C, Flobbe K: Computer-aided detection in full-field digital mammography in a clinical population: performance of radiologist and technologists. Breast Cancer Res Treat 120:499–506, 2010PubMedCrossRefGoogle Scholar
  11. 11.
    American College of Radiology. BI-RADS: mammography. In: Breast imaging reporting and data system: BI-RADS Atlas, fourth ed. Reston, VA: American College of Radiology: 2003Google Scholar
  12. 12.
    Warren Burhenne LJ, Wood SA, D’Orsi CJ, Feig SA, Kopans DB, O’Shaughnessy KF, Sickles EA, Tabar L, Vyborny CJ, Castellino RA: Potential contribution of computer-aided detection to the sensitivity of screening mammography. Radiology 215:554–562, 2000PubMedGoogle Scholar
  13. 13.
    Brem RF, Hoffmeister JW, Rapelyea JA, Zisman G, Mohtashemi K, Jindal G, Disimio MP, Rogers SK: Impact of breast density on computer-aided detection for breast cancer. AJR Am J Roentgenol 184:439–444, 2005PubMedCrossRefGoogle Scholar
  14. 14.
    Bolivar AV, Gomez SS, Merino P, Alonso-Bartolomé P, Garcia EO, Cacho PM, Hoffmeister JW: Computer-aided detection system applied to full-field digital mammograms. Acta Radiol 51:1086–1092, 2010PubMedCrossRefGoogle Scholar
  15. 15.
    Sadaf A, Crystal P, Scaranelo A, Helbich T: Performance of computer-aided detection applied to full-field digital mammography in detection of breast cancers. Eur J Radiol 77:457–461, 2011PubMedCrossRefGoogle Scholar
  16. 16.
    Brem RF, Rapelyea JA, Zisman G, Hoffmeister JW, Desimio MP: Evaluation of breast cancer with a computer-aided detection system by mammographic appearance and histopathology. Cancer 104:931–935, 2005PubMedCrossRefGoogle Scholar
  17. 17.
    Malich A, Sauner D, Marx C, Facius M, Boehm T, Pfleiderer SO, Fleck M, Kaiser WA: Influence of breast lesion size and histologic findings on tumor detection rate of a computer-aided detection system. Radiology 228:851–856, 2003PubMedCrossRefGoogle Scholar
  18. 18.
    Evans WP, Warren Burhenne LJ, Laurie L, O’Shaughnessy KF, Castellino RA: Invasive lobular carcinoma of the breast: mammographic characteristics and computer-aided detection. Radiology 225:182–189, 2002PubMedCrossRefGoogle Scholar
  19. 19.
    Sickles EA: Mammographic features of 300 consecutive nonpalpable breast cancers. AJR Am J Roentgenol 146:661–663, 1986PubMedCrossRefGoogle Scholar
  20. 20.
    Kopans D: Breast imaging, 2nd edition. Lippincott-Ravan, Philadelphia, 1998Google Scholar
  21. 21.
    Baker JA, Rosen EL, Lo JY, Gimenez EI, Walsh R, Soo MS: Computer-aided detection (CAD) in screening mammography: sensitivity of commercial CAD systems for detecting architectural distortion. AJR Am J Roentgenol 181:1083–1088, 2003PubMedCrossRefGoogle Scholar

Copyright information

© Society for Imaging Informatics in Medicine 2013

Authors and Affiliations

  • Ryusuke Murakami
    • 1
  • Shinichiro Kumita
    • 1
  • Hitomi Tani
    • 1
  • Tamiko Yoshida
    • 1
  • Kenichi Sugizaki
    • 1
  • Tomoyuki Kuwako
    • 1
  • Tomonari Kiriyama
    • 1
  • Kenta Hakozaki
    • 1
  • Emi Okazaki
    • 1
  • Keiko Yanagihara
    • 2
  • Shinya Iida
    • 2
  • Shunsuke Haga
    • 2
  • Shinichi Tsuchiya
    • 3
  1. 1.Department of RadiologyGraduate School of Medicine, Nippon Medical School1-1-5 SendagiJapan
  2. 2.Department Surgery for Organ Function and Biological RegulationGraduate School of Medicine, Nippon Medical School1-1-5 SendagiJapan
  3. 3.Division of Diagnostic PathologyNippon Medical School Hospital1-1-5 SendagiJapan

Personalised recommendations