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Comparison of detectability of breast cancer by abbreviated breast MRI based on diffusion-weighted images and postcontrast MRI

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Japanese Journal of Radiology Aims and scope Submit manuscript

Abstract

Purpose

To compare the detectability of unenhanced abbreviated magnetic resonance imaging (MRI) based on diffusion-weighted imaging (DWI) and abbreviated postcontrast MRI for breast cancer.

Methods

The study population consisted of 87 patients undergoing breast MRI between December 2016 and March 2017 in a clinical setting. All breast MRIs were performed using a 1.5-T MRI scanner with a 16-channel breast radiofrequency coil. The abbreviated protocols based on DWI (AP1) and postcontrast MRI (AP2) were assessed independently by two radiologists. Sensitivity and specificity were calculated. Receiver operating characteristic analysis was performed and the areas under the curves (AUCs) were compared between AP1 and AP2.

Results

The study included 87 patients with 89 breast cancer lesions ≤ 2 cm in diameter. The sensitivity/specificity for AP1 and AP2 for reader 1 was 89.9/97.6% and 95.5/90.6%, respectively, and those for reader 2 was 95.5/94.1% and 98.9/94.1%, respectively. The AUCs for AP1 and AP2 for reader 1 were 0.9629 and 0.9640 (p = 0.95), respectively, and those for reader 2 were 0.9755 and 0.9843 (p = 0.46), respectively.

Conclusions

The detectability of the unenhanced abbreviated protocol based on DWI would be comparable to that of abbreviated postcontrast MRI for breast cancer.

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References

  1. Kriege M, Brekelmans CT, Boetes C, Besnard PE, Zonderland HM, Obdeijn IM, et al. Efficacy of MRI and mammography for breast-cancer screening in women with a familial or genetic predisposition. N Engl J Med. 2004;351:427–37.

    Article  CAS  PubMed  Google Scholar 

  2. Kuhl C, Weigel S, Schrading S, Arand B, Bieling H, Konig R, et al. Prospective multicenter cohort study to refine management recommendations for women at elevated familial risk of breast cancer: the EVA trial. J Clin Oncol. 2010;28:1450–7.

    Article  PubMed  Google Scholar 

  3. Passaperuma K, Warner E, Causer PA, Hill KA, Messner S, Wong JW, et al. Long-term results of screening with magnetic resonance imaging in women with BRCA mutations. Br J Cancer. 2012;107:24–30.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Kuhl CK, Schrading S, Strobel K, Schild HH, Hilgers RD, Bieling HB. Abbreviated breast magnetic resonance imaging (MRI): first postcontrast subtracted images and maximum-intensity projection—a novel approach to breast cancer screening with MRI. J Clin Oncol. 2014;32:2304–10.

    Article  PubMed  Google Scholar 

  5. Saslow D, Boetes C, Burke W, Harms S, Leach MO, Lehman, et al. American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin. 2007;57:75–89.

    Article  PubMed  Google Scholar 

  6. Grimm LJ, Soo MS, Yoon S, Kim C, Ghate SV, Johnson KS. Abbreviated screening protocol for breast MRI: a feasibility study. Acad Radiol. 2015;22:1157–62.

    Article  PubMed  Google Scholar 

  7. Harvey SC, Di Carlo PA, Lee B, Obadina E, Sippo D, Mullen L. An abbreviated protocol for high-risk screening breast MRI saves time and resources. J Am Coll Radiol. 2016;13:R74–80.

    Article  PubMed  Google Scholar 

  8. Mango VL, Morris EA, David Dershaw D, Abramson A, Fry C, Moskowitz CS, et al. Abbreviated protocol for breast MRI: are multiple sequences needed for cancer detection? Eur J Radiol. 2015;84:65–70.

    Article  PubMed  Google Scholar 

  9. Moschetta M, Telegrafo M, Rella L, Stabile Ianora AA, Angelelli G. Abbreviated combined MR protocol: a new faster strategy for characterizing breast lesions. Clin Breast Cancer. 2016;16:207–11.

    Article  PubMed  Google Scholar 

  10. Heacock L, Melsaether AN, Heller SL, Gao Y, Pysarenko KM, Babb JS, et al. Evaluation of a known breast cancer using an abbreviated breast MRI protocol: correlation of imaging characteristics and pathology with lesion detection and conspicuity. Eur J Radiol. 2016;85:815–23.

    Article  PubMed  Google Scholar 

  11. Chhor CM, Mercado CL. Abbreviated MRI protocols: wave of the future for breast cancer screening. AJR Am J Roentgenol. 2017;208:284–9.

    Article  PubMed  Google Scholar 

  12. Chen SQ, Huang M, Shen YY, Liu CL, Xu CX. Application of abbreviated protocol of magnetic resonance imaging for breast cancer screening in dense breast tissue. Acad Radiol. 2017;24:316–20.

    Article  PubMed  Google Scholar 

  13. Machida Y, Shimauchi A, Kanemaki Y, Igarashi T, Harada M, Fukuma E. Feasibility and potential limitations of abbreviated breast MRI: an observer study using an enriched cohort. Breast Cancer. 2017;24:411–9.

    Article  PubMed  Google Scholar 

  14. Strahle DA, Pathak DR, Sierra A, Saha S, Strahle C, Devisetty K. Systematic development of an abbreviated protocol for screening breast magnetic resonance imaging. Breast Cancer Res Treat. 2017;162:283–95.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Panigrahi B, Mullen L, Falomo E, Panigrahi B, Harvey S. An abbreviated protocol for high-risk screening breast magnetic resonance imaging: impact on performance metrics and BI-RADS assessment. Acad Radiol. 2017;24:1132–8.

    Article  PubMed  Google Scholar 

  16. Chen X, Li WL, Zhang YL, Wu Q, Guo YM, Bai ZL. Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions. BMC Cancer. 2010;10:693.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Kuroki-Suzuki S, Kuroki Y, Nas K, Nawano S, Moriyama N, Okazaki M. Detecting breast cancer with non-contrast MR imaging: combining diffusion-weighted and STIR imaging. Magn Reson Med Sci. 2007;6:21–7.

    Article  PubMed  Google Scholar 

  18. Yabuuchi H, Matsuo Y, Sunami S, Kamitani S, Kawanami S, Setoguchi T, et al. Detection of non-palpable breast cancer in asymptomatic women by using unenhanced diffusion-weighted and T2-weighted MR imaging: comparison with mammography and dynamic contrast-enhanced MR imaging. Eur Radiol. 2011;21:11–7.

    Article  PubMed  Google Scholar 

  19. Bickelhaupt S, Laun FB, Tesdorff J, Lederer W, Daniel H, Stiever A, et al. Fast and noninvasive characterization of suspicious lesions detected at breast cancer X-ray screening: capability of diffusion-weighted MR imaging with MIPs. Radiology. 2016;278:689–97.

    Article  PubMed  Google Scholar 

  20. Welch HG, Prorok PC, O’Malley AJ, Kramer BS. Breast-cancer tumor size, overdiagnosis, and mammography screening effectiveness. N Engl J Med. 2016;375:1438–47.

    Article  PubMed  Google Scholar 

  21. Sagara Y, Mallory MA, Wong S, Aydogan F, DeSantis S, Barry WT, et al. Survival benefit of breast surgery for low-grade ductal carcinoma in situ: a population-based cohort study. JAMA Surg. 2015;150:739–45.

    Article  PubMed  Google Scholar 

  22. Hamilton LJ, Evans AJ, Wilson AR, Scott N, Cornford EJ, Pinder SE, et al. Breast imaging findings in women with BRCA1- and BRCA2-associated breast carcinoma. Clin Radiol. 2004;59:895–902.

    Article  CAS  PubMed  Google Scholar 

  23. Schrading S, Kuhl CK. Mammographic. US and MR imaging phenotypes of familial breast cancer. Radiology. 2008;246:58–70.

    Article  PubMed  Google Scholar 

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Acknowledgements

We would like to thank Mr. Seiji Umano, the radiology technician who assisted with preparation of the image sets in the picture archiving and communication system server.

Author information

Authors and Affiliations

  1. Department of Radiology, St. Marianna University School of Medicine, Yokohama City Seibu Hospital, 1197-1 Yasashicho, Asahi-Ward, Yokohama, Kanagawa, 241-0811, Japan

    Takayuki Yamada

  2. Department of Radiology, Breast and Imaging Center, St. Marianna University School of Medicine, 6-7-2 Mampukuji, Asao-Ward, Kawasaki, Kanagawa, 215-0004, Japan

    Yoshihide Kanemaki & Satoko Okamoto

  3. Department of Radiology, St. Marianna University School of Medicine, 2-16-1 Sugao, Miyamae-Ward, Kawasaki, Kanagawa, 216-8511, Japan

    Yasuo Nakajima

Authors
  1. Takayuki Yamada
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  2. Yoshihide Kanemaki
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  3. Satoko Okamoto
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  4. Yasuo Nakajima
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Corresponding author

Correspondence to Takayuki Yamada.

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Conflict of interest

Takayuki Yamada: There is no conflict of interest to disclose with respect to the study. Yoshihide Kanemaki: There is no conflict of interest to disclose with respect to the study. Satoko Okamoto: There is no conflict of interest to disclose with respect to the study. Yasuo Nakajima: There is no conflict of interest to disclose with respect to the study.

IRB statement

This study was approved by our institutional review board.

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Yamada, T., Kanemaki, Y., Okamoto, S. et al. Comparison of detectability of breast cancer by abbreviated breast MRI based on diffusion-weighted images and postcontrast MRI. Jpn J Radiol 36, 331–339 (2018). https://doi.org/10.1007/s11604-018-0731-6

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  • DOI: https://doi.org/10.1007/s11604-018-0731-6

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