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MRI-visualized T2 hyperintense breast lesions: identifying clinical and imaging factors linked to malignant biopsy outcomes

  • Epidemiology
  • Published:
Breast Cancer Research and Treatment Aims and scope Submit manuscript

Abstract

Purpose

To determine the malignancy rate for MRI-guided breast biopsies performed for T2 hyperintense breast lesions and to assess additional clinical and MRI characteristics that can predict benign and malignant outcomes.

Methods

A retrospective chart review of consecutive MRI-guided breast biopsies performed in two tertiary hospitals was conducted over two years. Biopsies performed for T2 hyperintense lesions were selected, and further lesion imaging characteristics and patient risk factors were collected. Univariate and multivariate modeling regression were used to determine additional imaging and patient factors associated with malignant outcomes for biopsies of T2 hyperintense lesions.

Results

Out of 369 MRI-guided breast biopsies, 100 (27%) were performed for T2 hyperintense lesions. Two biopsy-proven benign lesions were excluded as the patient was lost on follow-up. With a study cohort of 98 lesions, the final pathology results were benign for 80 (80%) of these lesions, while 18 (18%) were malignant. Using multivariate logistic modeling, patient age > 50 (OR 5.99 (1.49, 24.08 95% CI), p < 0.05) and lesion size > 3 cm (OR 5.54 (1.54–18.7), p < 0.01) were found to be important predictors of malignant outcomes for MRI biopsies performed for T2 hyperintense lesions.

Conclusion

Our study observed a high malignancy rate, challenging the assumption that T2 hyperintensity can be considered a benign imaging characteristic for otherwise suspicious MRI-detected lesions. Decision-making regarding tissue sampling should be made based on a thorough evaluation of more reliable additional demographic and imaging factors, including patient age and lesion size.

Key messages

  • Increasing patient age and increasing target lesion size are important predictors of a malignant breast biopsy for T2 hyperintense lesions.

  • Lesion T2 intensity should be assessed for every target; however, additional imaging and clinical features should be used to guide decision-making regarding the need for tissue sampling.

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Data availability

The datasets generated during and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.

References

  1. Mann RM, Cho N, Moy L (2019) Breast MRI: state of the art. Radiology 292(3):520–536. https://doi.org/10.1148/radiol.2019182947

    Article  PubMed  Google Scholar 

  2. D’Orsi C, Sickles E, Mendelson EB, Morris E (2013) ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology, Reston, VA

    Google Scholar 

  3. Gibson AL, Watkins JE, Agrawal A, Tyminski MM, DeBenedectis CM (2022) Shedding light on T2 bright masses on breast MRI: benign and malignant causes. J Breast Imaging 4(4):430–440. https://doi.org/10.1093/jbi/wbac030

    Article  PubMed  Google Scholar 

  4. Sharma S, Nwachukwu C, Wieseler C, Elsherif S, Letter H, Sharma S (2021) MRI virtual biopsy of T2 hyperintense breast lesions. J Clin Imaging Sci 11:18. https://doi.org/10.25259/JCIS_42_2021

    Article  PubMed  PubMed Central  Google Scholar 

  5. Westra C, Dialani V, Mehta TS, Eisenberg RL (2014) Using T2-weighted sequences to more accurately characterize breast masses seen on MRI. Am J Roentgenol 202(3):W183–W190. https://doi.org/10.2214/AJR.13.11266

    Article  Google Scholar 

  6. Santamaría G, Velasco M, Bargalló X, Caparrós X, Farrús B, Luis FP (2010) Radiologic and pathologic findings in breast tumors with high signal intensity on T2-weighted MR images. Radiographics 30(2):533–548. https://doi.org/10.1148/rg.302095044

    Article  PubMed  Google Scholar 

  7. Yuen S, Uematsu T, Kasami M et al (2007) Breast carcinomas with strong high-signal intensity on T2-weighted MR images: pathological characteristics and differential diagnosis. J Magn Reson Imaging 25(3):502–510. https://doi.org/10.1002/jmri.20845

    Article  PubMed  Google Scholar 

  8. Taskin F, Soyder A, Tanyeri A, Ozturk VS, Unsal A (2017) Lesion characteristics, histopathologic results, and follow-up of breast lesions after MRI-guided biopsy. Diagn Interv Radiol 23(5):333–338. https://doi.org/10.5152/dir.2017.17004

    Article  PubMed  PubMed Central  Google Scholar 

  9. Spick C, Schernthaner M, Pinker K et al (2016) MR-guided vacuum-assisted breast biopsy of MRI-only lesions: a single center experience. Eur Radiol 26(11):3908–3916. https://doi.org/10.1007/s00330-016-4267-9

    Article  PubMed  PubMed Central  Google Scholar 

  10. Ferré R, Ianculescu V, Ciolovan L et al (2016) Diagnostic performance of MR-guided vacuum-assisted breast biopsy: 8 years of experience. Breast J 22(1):83–89. https://doi.org/10.1111/tbj.12519

    Article  PubMed  Google Scholar 

  11. Malhaire C, El Khoury C, Thibault F et al (2010) Vacuum-assisted biopsies under MR guidance: results of 72 procedures. Eur Radiol 20(7):1554–1562. https://doi.org/10.1007/s00330-009-1707-9

    Article  CAS  PubMed  Google Scholar 

  12. Liberman L, Bracero N, Morris E, Thornton C, Dershaw DD (2005) MRI-guided 9-gauge vacuum-assisted breast biopsy: initial clinical experience. Am J Roentgenol 185(1):183–193

    Article  Google Scholar 

  13. Perlet C, Heywang-Kobrunner SH, Heinig A et al (2006) Magnetic resonance-guided, vacuum-assisted breast biopsy: results from a European multicenter study of 538 lesions. Cancer 106(5):982–990. https://doi.org/10.1002/cncr.21720

    Article  PubMed  Google Scholar 

  14. Özcan BB, Yan J, Xi Y, Baydoun S, Scoggins ME, Doğan BE (2022) Performance benchmark metrics and clinicopathologic outcomes of MRI-guided breast biopsies: a systematic review and meta-analysis. Eur J Breast Health 19(1):1–27. https://doi.org/10.4274/ejbh.galenos.2022.2022-12-1

    Article  Google Scholar 

  15. Kuhl CK, Klaschik S, Mielcarek P (1999) Do T2-weighted pulse sequences help with the differential diagnosis of enhancing lesions in dynamic breast MRI? J Magn Reson Imaging 9(2):187–196

    Article  CAS  PubMed  Google Scholar 

  16. Grimm LJ, Enslow M, Ghate SV (2019) Solitary, well-circumscribed, t2 hyperintense masses on MRI have very low malignancy rates. J Breast Imaging 1(1):37–42. https://doi.org/10.1093/jbi/wby014

    Article  PubMed  Google Scholar 

  17. Aydin H (2019) The MRI characteristics of non-mass enhancement lesions of the breast: associations with malignancy. Br J Radiol 92(1096):20180464. https://doi.org/10.1259/bjr.20180464

    Article  PubMed  PubMed Central  Google Scholar 

  18. Fujiwara K, Yamada T, Kanemaki Y et al (2018) Grading system to categorize breast MRI in BI-RADS 5th edition: a multivariate study of breast mass descriptors in terms of probability of malignancy. Am J Roentgenol 210(3):W118–W127. https://doi.org/10.2214/AJR.17.17926

    Article  Google Scholar 

  19. Grimm LJ, Anderson AL, Baker JA et al (2015) Frequency of malignancy and imaging characteristics of probably benign lesions seen at breast MRI. Am J Roentgenol 205(2):442–447. https://doi.org/10.2214/AJR.14.13530

    Article  Google Scholar 

  20. Ha R, Sung J, Lee C, Comstock C, Wynn R, Morris E (2014) Characteristics and outcome of enhancing foci followed on breast MRI with management implications. Clin Radiol 69(7):715–720. https://doi.org/10.1016/j.crad.2014.02.007

    Article  CAS  PubMed  Google Scholar 

  21. Gutierrez RL, DeMartini WB, Eby PR, Kurland BF, Peacock S, Lehman CD (2009) BI-RADS lesion characteristics predict likelihood of malignancy in breast MRI for masses but not for nonmasslike enhancement. Am J Roentgenol 193(4):994–1000. https://doi.org/10.2214/AJR.08.1983

    Article  Google Scholar 

  22. Peters NHGM, Borel Rinkes IHM, Zuithoff NPA, Mali WPTM, Moons KGM, Peeters PHM (2008) Meta-analysis of MR imaging in the diagnosis of breast lesions. Radiology 246(1):116–124. https://doi.org/10.1148/radiol.2461061298

    Article  PubMed  Google Scholar 

  23. Eby PR, DeMartini WB, Peacock S, Rosen EL, Lauro B, Lehman CD (2007) Cancer yield of probably benign breast MR examinations. J Magn Reson Imaging 26(4):950–955. https://doi.org/10.1002/jmri.21123

    Article  PubMed  Google Scholar 

  24. Mann RM, Kuhl CK, Moy L (2019) Contrast-enhanced MRI for breast cancer screening. J Magn Reson Imaging 50(2):377–390. https://doi.org/10.1002/jmri.26654

    Article  PubMed  PubMed Central  Google Scholar 

  25. Malich A, Fischer DR, Wurdinger S et al (2005) Potential MRI interpretation model: differentiation of benign from malignant breast masses. Am J Roentgenol 185(4):964–970. https://doi.org/10.2214/AJR.04.1073

    Article  Google Scholar 

  26. Chikarmane SA, Michaels AY, Giess CS (2017) Revisiting nonmass enhancement in breast MRI: analysis of outcomes and follow-up using the updated BI-RADS Atlas. Am J Roentgenol 209(5):1178–1184. https://doi.org/10.2214/AJR.17.18086

    Article  Google Scholar 

  27. Alikhassi A, Li X, Au F et al (2023) False-positive incidental lesions detected on contrast-enhanced breast MRI: clinical and imaging features. Breast Cancer Res Treat 198(2):321–334. https://doi.org/10.1007/s10549-023-06861-y

    Article  CAS  PubMed  Google Scholar 

  28. Myers KS, Oluyemi ET, Mullen LA, Ambinder EB, Kamel IR, Harvey SC (2020) Outcomes of foci on breast MRI: features associated with malignancy. Am J Roentgenol 215(4):1012–1019. https://doi.org/10.2214/AJR.19.22423

    Article  Google Scholar 

  29. Myers KS, Kamel IR, Macura KJ (2015) MRI-guided breast biopsy: outcomes and effect on patient management. Clin Breast Cancer 15(2):143–152. https://doi.org/10.1016/j.clbc.2014.11.003

    Article  PubMed  Google Scholar 

  30. Uematsu T (2015) Focal breast edema associated with malignancy on T2-weighted images of breast MRI: peritumoral edema, prepectoral edema, and subcutaneous edema. Breast Cancer 22(1):66–70. https://doi.org/10.1007/s12282-014-0572-9

    Article  PubMed  Google Scholar 

  31. Rauch GM, Dogan BE, Smith TB, Liu P, Yang WT (2012) Outcome analysis of 9-gauge MRI-guided vacuum-assisted core needle breast biopsies. Am J Roentgenol 198(2):292–299. https://doi.org/10.2214/AJR.11.7594

    Article  Google Scholar 

  32. Han BK, Schnall MD, Orel SG, Rosen M (2008) Outcome of MRI-guided breast biopsy. Am J Roentgenol 191(6):1798–1804. https://doi.org/10.2214/AJR.07.2827

    Article  Google Scholar 

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Funding

This research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

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Contributions

All authors contributed to the study's conception and design. MBB, VF, and SK performed material preparation, data collection, and analysis. MBB wrote the first draft of the manuscript, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Vivianne Freitas.

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Bissell, M.B., Keshavarsi, S., Fleming, R. et al. MRI-visualized T2 hyperintense breast lesions: identifying clinical and imaging factors linked to malignant biopsy outcomes. Breast Cancer Res Treat 205, 159–168 (2024). https://doi.org/10.1007/s10549-023-07239-w

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