Abstract
Since the introduction of contrast-enhanced breast magnetic resonance imaging (MRI) of the breast, the medical community acknowledged its high sensitivity. On the other hand, breast MRI has been criticized for its supposedly inherently low or at least inferior specificity as compared to mammography and ultrasound. This book chapter analyzes whether this assumption is really true and the reasons which initially led to it. After demonstrating that contrast enhancement is the basis of the high sensitivity of breast MRI, we explain why a number of benign lesions do enhance and can be misinterpreted as false positives, potentially impacting on patient management. An in-depth comparison between a paper published in 1993 showing a specificity of 37% and a paper published in 1994 showing a specificity of 97% is presented as a way to discuss the mantra of a low specificity associated with breast MRI. Factors influencing specificity such as the reference standard used, the indication to the MRI examination (and, therefore, the study population investigated), the technical characteristics of the MRI equipment, and the technical quality of the MRI examination, the reader’s experience, and the diagnostic criteria are discussed. The potential role of diffusion-weighed imaging (DWI) for improving breast MRI specificity is presented.
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Abbreviations
- BI-RADS:
-
Breast Imaging Reporting and Data System
- DWI :
-
Diffusion-weighted imaging
- MRI:
-
Magnetic resonance imaging
- US:
-
Ultrasonography, ultrasound
References
Kaiser WA (2008) Signs in MR-mammography. Springer, Berlin
Jan Gonda (1975) The Indian mantra. Selected studies, vol IV. E.J. Brill, Leiden
Kaiser WA (2008) Personal communication to Baltzer PA
Heywang SH, Hilbertz T, Pruss E et al (1988) Dynamic contrast medium studies with flash sequences in nuclear magnetic resonance tomography of the breast. Digitale Bilddiagn 8:7–13
Kaiser WA, Zeitler E (1989) MR imaging of the breast: fast imaging sequences with and without Gd-DTPA. Preliminary observations. Radiology 170:681–686
Tubiana M (2006) Preface. In: Perry N, Broeders M, de Wolf C, Törnberg S, Holland R, von Karsa L (eds) European guidelines for quality assurance in breast cancer screening and diagnosis, 4th edition, pp VII–VIII.
Hendrick RE (1992) Quality assurance in mammography. Accreditation, legislation, and compliance with quality assurance standards. Radiol Clin N Am 30:243–255
Sickles EA (1992) Quality assurance. How to audit your own mammography practice. Radiol Clin N Am 30:265–275
Gold RH (1992) The evolution of mammography. Radiol Clin N Am 30:1–19
Harms SE, Flamig DP, Hesley KL et al (1993) MR imaging of the breast with rotating delivery of excitation off resonance: clinical experience with pathologic correlation. Radiology 187:493–501
Kaiser WA (1994) False-positive results in dynamic MR mammography. Causes, frequency, and methods to avoid. Magn Reson Imaging Clin N Am 2:539–555
Sardanelli F, Giuseppetti GM, Panizza P et al (2004) Sensitivity of MRI 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 Am J Roentgenol 183:1149–1157
Baltzer PA, Schelhorn J, Dietzel M, Kaiser WA (2010) Breast screening programs using MRI: is there a role for computer-aided diagnosis? Imaging Med 2:659–673
Benndorf M, Baltzer PA, Vag T, Gajda M, Runnebaum IB, Kaiser WA (2010) Breast MRI as an adjunct to mammography: does it really suffer from low specificity? A retrospective analysis stratified by mammographic BI-RADS classes. Acta Radiol 51:715–721
Warner E, Messersmith H, Causer P, Eisen A, Shumak R, Plewes D (2008) Systematic review: using magnetic resonance imaging to screen women at high risk for breast cancer. Ann Intern Med 148:671–679
Bennani-Baiti B, Bennani-Baiti N, Baltzer PA (2016) Diagnostic performance of breast magnetic resonance imaging in non-calcified equivocal breast findings: results from a systematic review and meta-analysis. PLoS One 11:e0160346
Bennani-Baiti B, Baltzer PA (2017) MR imaging for diagnosis of malignancy in mammographic microcalcifications: a systematic review and meta-analysis. Radiology 283:692–701
Warren R, Ciatto S, Macaskill P, Black R, Houssami N (2009) Technical aspects of breast MRI—do they affect outcomes? Eur Radiol 19:1629–1638
Partridge SC, DeMartini WB, Kurland BF, Eby PR, White SW, Lehman CD (2009) Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value. AJR Am J Roentgenol 193:1716–1722
Pinker K, Bickel H, Helbich TH et al (2013) Combined contrast-enhanced magnetic resonance and diffusion-weighted imaging reading adapted to the “Breast Imaging Reporting and Data System” for multiparametric 3-T imaging of breast lesions. Eur Radiol 23:1791–1802
Baltzer A, Dietzel M, Kaiser CG, Baltzer PA (2016) Combined reading of contrast-enhanced and diffusion weighted magnetic resonance imaging by using a simple sum score. Eur Radiol 26:884–891
Spick C, Pinker-Domenig K, Rudas M, Helbich TH, Baltzer PA (2014) MRI-only lesions: application of diffusion-weighted imaging obviates unnecessary MR-guided breast biopsies. Eur Radiol 24:1204–1210
Mann RM, Kuhl CK, Kinkel K, Boetes C (2008) Breast MRI: guidelines from the European Society of Breast Imaging. Eur Radiol 18:1307–1318
Sardanelli F, Boetes C, Borisch B et al (2010) Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group. Eur J Cancer 46:1296–1316
American College of Radiology (2013) Breast Imaging Reporting and Data System® (BI-RADS®). 5th edition. American College of Radiology, Reston, VA, USA
Ikeda DM, Hylton NM, Kinkel K et al (2001) Development, standardization, and testing of a lexicon for reporting contrast-enhanced breast magnetic resonance imaging studies. J Magn Reson Imaging 13:889–895
Benndorf M, Baltzer PAT, Kaiser WA (2011) Assessing the degree of collinearity among the lesion features of the MRI BI-RADS lexicon. Eur J Radiol 80:e322–e324
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. AJR Am J Roentgenol 193:994–1000
Baltzer PAT, Benndorf M, Dietzel M, Gajda M, Runnebaum IB, Kaiser WA (2010) False-positive findings at contrast-enhanced breast MRI: a BI-RADS descriptor study. AJR Am J Roentgenol 194:1658–1663
Jansen SA, Shimauchi A, Zak L, Fan X, Karczmar GS, Newstead GM (2011) The diverse pathology and kinetics of mass, nonmass, and focus enhancement on MR imaging of the breast. J Magn Reson Imaging 33:1382–1389
Baltzer PAT, Kaiser WA, Dietzel M (2015) Lesion type and reader experience affect the diagnostic accuracy of breast MRI: a multiple reader ROC study. Eur J Radiol 84:86–91
Oxford Centre for Evidence-based Medicine (2009) Levels of Evidence. http://www.cebm.net/oxford-centre-evidence-based-medicine-levels-evidence-march-2009/. Accessed 30 Jun 2020
Baum F, Fischer U, Vosshenrich R, Grabbe E (2002) Classification of hypervascularized lesions in CE MR imaging of the breast. Eur Radiol 12:1087–1092
Schnall MD, Blume J, Bluemke DA et al (2006) Diagnostic architectural and dynamic features at breast MR imaging: multicenter study. Radiology 238:42–53
Demartini WB, Kurland BF, Gutierrez RL, Blackmore CC, Peacock S, Lehman CD (2011) Probability of malignancy for lesions detected on breast MRI: a predictive model incorporating BI-RADS imaging features and patient characteristics. Eur Radiol 21:1609–1617
Baltzer PAT, Dietzel M, Kaiser WA (2013) A simple and robust classification tree for differentiation between benign and malignant lesions in MR-mammography. Eur Radiol 23:2051–2060
Marino MA, Clauser P, Woitek R et al (2016) A simple scoring system for breast MRI interpretation: does it compensate for reader experience? Eur Radiol 26:2529–2537
Woitek R, Spick C, Schernthaner M et al (2017) A simple classification system (the Tree flowchart) for breast MRI can reduce the number of unnecessary biopsies in MRI-only lesions. Eur Radiol 27:3799–3809
Song F, Parekh S, Hooper L et al (2010) Dissemination and publication of research findings: an updated review of related biases. Health Technol Assess 14: iii, ix–xi, 1–193
Ioannidis JPA (2005) Why most published research findings are false. PLoS Med 2:e124
Google Scholar. https://scholar.google.com/. Accessed 30 Jun 2020
Sardanelli F, Aase HS, Álvarez M et al (2017) Position paper on screening for breast cancer by the European Society of Breast Imaging (EUSOBI) and 30 national breast radiology bodies from Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Israel, Lithuania, Moldova, The Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Spain, Sweden, Switzerland and Turkey. Eur Radiol 27:2737–2743
Williams TC, DeMartini WB, Partridge SC, Peacock S, Lehman CD (2007) Breast MR imaging: computer-aided evaluation program for discriminating benign from malignant lesions. Radiology 244:94–103
Spick C, Baltzer PAT (2014) Diagnostic utility of second-look US for breast lesions identified at MR imaging: systematic review and meta-analysis. Radiology 273:401–409
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Baltzer, P.A.T., Sardanelli, F. (2020). The Mantra about Low Specificity of Breast MRI. In: Sardanelli, F., Podo, F. (eds) Breast MRI for High-risk Screening. Springer, Cham. https://doi.org/10.1007/978-3-030-41207-4_2
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DOI: https://doi.org/10.1007/978-3-030-41207-4_2
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