Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Assessment of Detection Rate Applying the Digital Convergence Mammographic Imaging Methods(FFDM, DBT, BMRI): Based on Breast Density

디지털 융복합 유방 영상 검사기법(FFDM, DBT, BMRI)을 사용한 검출률 평가 : 유방밀도에 근거하여

  • Jang, Eun-Hee (Department of Radiological Science, Graduate School of Health Sciences, Cheonggju University) ;
  • Goo, Eun-Hoe (Department of Radiological Science, Cheongju University)
  • 장은희 (청주대학교 보건의료대학원 방사선학과) ;
  • 구은회 (청주대학교 방사선학과)
  • Received : 2017.03.09
  • Accepted : 2017.05.20
  • Published : 2017.05.28
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Abstract

This study aimed to assess detection rate applying the mammographic imaging methods. The evaluation of the shape and margin of tumor was conducted by score oriented to 180 patients who had undergone FFDM, DBT and BMRI scans among breast cancer patients, and the number of calcification was classified by size. There was no significant difference between DBT and BMRI for tumors larger than 1 cm in low-density breasts and for tumors larger than 2 cm in high-density breasts. Moreover, as for the detection rate of number of fine calcification, the highest rate was observed in FFDM followed by DBT and BMRI in the order named regardless of size. In conclusion, DBT was able to be detected even without BMRI if the mass was larger than 1 cm in the low-density breast and larger than 2 cm in the high-density breast. The detection rate of calcification turned out to be the highest in FFDM followed by DBT regardless of size, and calcification was not observed by BMRI. The appropriate use of FFDM, DBT and BMRI with respect to mass tumor will contribute to serving as a guide to examination methods of reducing burden of patients.

본 연구는 유방영상 검사기법을 사용하여 종양의 검출률을 평가하고자 하였다. 유방암 환자 중 FFDM, DBT, BMRI 검사를 시행한 180명을 대상으로 종양의 모양(shape)과 마진(margin)을 score로 평가하고 또, 석회석을 크기에 따라 분류해서 개수를 평가하였다. 저밀도 유방에서 1cm이상, 고밀도 유방에서 2cm이상 종양은 DBT와 BMRI의 유의한 차이가 없었다. 또한 미세석회석의 개수는 크기에 관계없이 FFDM, DBT, BMRI순으로 검출률이 높았다. 결론적으로 저밀도 유방에서 종괴가 1cm이상, 고밀도 유방에서 종괴가 2cm이상 일 경우 BMRI를 시행하지 않아도 DBT로 검출이 가능하였다. 그리고 석회석은 크기와 관계없이 FFDM, DBT 순으로 검출률이 높았으며, BMRI는 석회석이 관찰되지 않았다. 향후 종괴성 종양에 대한 FFDM, DBT, BMRI를 적절히 활용함으로 환자의 부담감을 줄일 수 있는 검사법에 대한 가이드가 될 것이다.

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References

  1. Ko-Un Kim, Hye-Won Oh,"The Effect of home education convergence program on arm functions, occupational performance, quality of life, and depression in mastectomy patients with armfunction impairment," Journal of Digital Convergence, Vol. 14, No. 9, pp. 515-523, 2016. https://doi.org/10.14400/JDC.2016.14.9.515
  2. Lee, Mi-Hwa, Kim, Sang-Hyun, “Breast cancer screening rates-related factors Korea women ever considering area environmental characteristics,” Journal of Digital Convergence, Vol. 12, No. 11, pp. 437-449, 2014. https://doi.org/10.14400/JDC.2014.12.11.437
  3. Mun, Sung-Hyun, “Convergence Study on Factors that Influence Cancer Screening Rate in Korea and Japan,” Journal of the Korea Convergence Society, Vol. 6, No. 6, pp. 247-253, 2015. https://doi.org/10.15207/JKCS.2015.6.6.247
  4. Mi-Ae Park, Baeg-Ju Na, Moo-Sik Lee, Jee-Young Hong, Sang-Ha Kim, "Relationship between Health Promotion Behavior and Health Service Satisfaction at Regular Medical Checkup," KAIS, Vol 8, 2009 Dec, pp. 778-781, 2009.
  5. Jeung, Jeung-Woo, Na, Baeg-Ju, Kim, Chul-Woung, Lee, Moo-Sik, Kim, Sang-Ha, "Related Factors of Regular Breast Examination Before The Incidence of Breast Cance," KAIS, Vol 8, 2009 May, pp. 9-12, 2009.
  6. Jong-Min Lim, Ju-Dong Jang, Hyun-Soo Kim, Moo-Sik Lee, "Effects on the Mortality Patterns by Religious and Related Factors in Korean Population," Journal of the Korea Convergence Society, Vol. 6, No4, pp. 213-223, 2015. https://doi.org/10.15207/JKCS.2015.6.4.213
  7. Norman F. Boyd, Lisa J. Martin, Michael ronskill, Martin J. Yaffe, Neb Duric, Salomon Minkin "Breast Tissue Composition and Susceptibility to Breast Cancer," J Natl Cancer Inst, Vol. 18; 102(16), pp. 1224-123, 2010. https://doi.org/10.1093/jnci/djq239
  8. Boyd NF1, Guo H, Martin LJ, Sun L, Stone J, Fishell E, Jong RA, Hislop G, Chiarelli A, Minkin S, Yaffe MJ, "Mammographic density and the risk and detection of breast cance," PubMed, Vol. 18;356(3), pp. 227-236, 2007.
  9. Kang Hyun-Ju, Hong Jee-Young, Lee Moo-Sik, Na Baeg-Ju, Lee Bo-Woo, "Factors Affecting Breast Self-examination According to Health Belief Model," KAIS, Vol. 8(2010 May 28), pp. 1077-1082, 2010.
  10. Norman F. Boyd, M.D., D.Sc., Helen Guo, M.Sc., Lisa J. Martin, Ph.D., Limei Sun, M.Sc., Jennifer Stone, M.Sc., Eve Fishell, M.D., F.R.C.P.C., Roberta A. Jong, M.D., "Mammographic Density and the Risk and Detection of Breast Cancer," N Engl J Med, Vol. 356, pp. 227-236, 2007. https://doi.org/10.1056/NEJMoa062790
  11. Marilyn A. Roubidoux, MD, Janet E. Bailey, MD, Linda A. Wray, PhD2, and Mark A. Helvie, MD, Roubidoux MA, Bailey JE, Wray LA, et al, "Invasive cancers detected after breast cancer screening yielded a negative result: relationship of mammographic density to tumor prognostic factor," Radiology, Vol. 230, pp. 42-48, 2004. https://doi.org/10.1148/radiol.2301020589
  12. Kim, Sun-Ae, Jeon, Hye-Won, “Convergent research of Experience about Women Religious on Breast Self-Examination Education Participation,” Journal of the Korea Convergence Society, Vol. 7, No. 1, pp. 77-87, 2016. https://doi.org/10.15207/JKCS.2016.7.1.077
  13. Stuart S. Kaplan, MD, "Clinical Utility of Bilateral Whole-Breast US in the Evaluation of Women with Dense Breast Tissue," RSNA Radiology, Vol. 221, 2001. DOI: http://dx.doi.org/10.1148/radiol.2213010364
  14. Min Sun Bae MD, Woo Kyung Moon MD, Jung Min Chang MD, Hye Ryoung Koo MD, Won Hwa Kim MD, Nariya Cho MD, Ann Yi MD, Bo La Yun MD, Su Hyun Lee MD, Mi Young Kim MD, Eun Bi Ryu MD, Mirinae Seo MD,"Breast Cancer Detected with Screening US: Reasons for Nondetection at Mammography," Radiology, Vol. 270, No. 2, 2014.
  15. L T Niklason, B T Christian, L E Niklason, D B Kopans, D E Castleberry, B H Opsahl-Ong, C E Landberg, P J Slanetz, A A Giardino, R Moore, D Albagli, M C DeJule, P F Fitzgerald, D F Fobare, B WGiambattista, R F Kwasnick, "Digital DBTsynthesis in breast imaging," RSNA Radiology, Vol. 205, No 2, 1997.
  16. Stamatia V. Destounis, Renee Morgan, Andrea Arieno, "Screening for Dense Breasts:Digital Breast DBTsynthesis," AJR Am J Roentgenol Vol. 204, pp. 261-264, 2015. https://doi.org/10.2214/AJR.14.13554
  17. Andrew Smith Ph.D, "Fundamentals of Breast DBTsynthesis Improving the Performance of Mammography," Hologic FundmntlsDBT, 2012.
  18. Srinivasan Vedantham PhD, Andrew Karellas PhD, Gopal R. Vijayaraghavan MD, MPH Daniel B. Kopans MD, "Digital Breast DBTsynthesis: State of the Art," Radiology, Vol 277, No 3, 2015.
  19. Stephen L. Rose, Andra L. Tidwell, Louis J. Bujnoch, Anne C. Kushwaha, Amy S. Nordmann, Russell Sexton, Jr." Implementation of Breast DBTsynthesis in a Routine Screening Practice: An Observational Study," AJR Am J Roentgenol, Vol. 200, pp. 1401-.1408, 2013. https://doi.org/10.2214/AJR.12.9672
  20. Melissa A. Durand MD, Brian M. Haas MD, Xiaopan Yao PhD, Jaime L. Geisel MD, Madhavi Raghu MD, Regina J. Hooley MD, "Early Clinical Experience with Digital Breast DBTsynthesis for Screening Mammography," Radiology, Vol. 274, No. 1, 2015.
  21. Per Skaane, Andriy I. Bandos, Randi Gullien, Ellen B. Eben, Ulrika Ekseth, Unni Haakenaasen, Mina Izadi, Ingvild N. Jebsen, Gunnar Jahr, Mona Krager, Loren T. Niklason, Solveig Hofvind, David Gur, "Comparison of Digital Mammography Alone and Digital Mammography Plus DBTsynthesis in a Populationbased Screening Program," Radiology, Vol. 267, No. 1, 2013.
  22. Debbie Saslow, PhD; Carla Boetes, MD, PhD; Wylie Burke, MD, PhD; Steven Harms, MD; Martin O. Leach, PhD; Constance D. Lehman, MD, PhD; Elizabeth Morris, MD; Etta Pisano, MD; Mitchell Schnall, MD, PhD; Stephen Sener, MD; Robert A . Smith, PhD, "American Cancer Society Guidelines for Breast Screening with BMRI as an Adjunct to Mammography," CA Cancer J Clin Vol. 57, pp. 75-89, 2007. https://doi.org/10.3322/canjclin.57.2.75
  23. Lee Mi-Hwa, "Convergence of the Image Evaluation by BI-RADS Classification in Accordance with Algorithms in DR Mammography," Journal title : Journal of Digital Convergence, Vol. 13, Issue 9, pp. 489-495, 2015. https://doi.org/10.14400/JDC.2015.13.9.489
  24. American College of Radiology. Breast Imaging Reporting and Data System (BI-RADS) Atlas 5 Edition changes. Reston, Va: American College of Radiology, 2013.
  25. Elizabeth Lazarus MD, Martha B. Mainiero MD, Barbara Schepps MD, Susan L. Koelliker MD, Linda S. Livingston MD, "BI-RADS Lexicon for US and Mammography," Radiology, Vol. 239, No. 2, 2006.
  26. Kevin Strobel, MD, PhD, Simone Schrading, MD, PhD, Nienke L. Hansen, MD, PhD, "Assessment of BI-RADS Category 4 Lesions Detected with Screening Mammography and Screening US: Utility of MR Imaging," Radiology, Vol. 274, No. 2, 2015.
  27. Massimo Bazzocchi, Chiara Zuiani1, Pietro Panizza, Chiara Del Frate, Franca Soldano, Miriam Isola, Francesco Sardanelli ,Gian Marco Giuseppetti, Giovanni Simonetti, "Contrast-Enhanced Breast BMRI in Patients with Suspicious Microcalcifications on ammography:Results of a Multicenter Trial," AJR Am J Roentgenol, Vol. 186, pp. 1723-1732, 2006. https://doi.org/10.2214/AJR.04.1898
  28. Francesco Sardanelli, Gian M. Giuseppetti, Pietro Panizza, Massimo Bazzocchi, Alfonso Fausto, Giovanni Simonetti, Vincenzo Lattanzio, Alessandro Del Maschio, Sensitivity of BMRI Versus Mammography for Detecting Foci of Multifocal, Multicentric Breast Cancer in Fatty and Dense Breasts Using the Whole-Breast Pathologic Examination as a Gold Standard, AJR, Vol. 183, pp. 1149-1157, 2004 https://doi.org/10.2214/ajr.183.4.1831149
  29. M. Lee Spangler, Margarita L. Zuley, Jules H. Sumkin, Gordan Abrams, Marie A. Ganott, Christiane Hakim, Ronald Perrin, " Detection and Classification of Calcifications on Digital Breast DBTsynthesis and FFDM Digital Mammography: A Comparison," AJR, Vol. 196, pp. 320-.324, 2011 mmography: A Comparison, AJR,Vol. 196, pp. 320-324, 2011 https://doi.org/10.2214/AJR.10.4656
  30. Peters S, Hellmich M, Stork A, Kemper J, Grinstein O, "Comparison of the Detection Rate of Simulated Microcalcifications in Full-Field Digital Mammography, Digital Breast DBTsynthesis, and Synthetically Reconstructed 2-Dimensional Images Performed With 2 Different Digital X-ray Mammography Systems," NCBI, 2016, http://insights.ovid.com/crossref?an=00004424-201704000-00003, 2016/11, DOI: 10.1097/RLI.0000000000000334