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Meta-analysis of pre-operative magnetic resonance imaging (MRI) and surgical treatment for breast cancer
Open accessAbstract
Background Although there is no consensus on whether pre-operative MRI in women with breast cancer (BC) benefits surgical treatment, MRI continues to be used pre-operatively in practice. This meta-analysis examines the association between pre-operative MRI and surgical outcomes in BC.Methods A systematic review was performed to identify studies reporting quantitative data on pre-operative MRI and surgical outcomes (without restriction by type of surgery received or type of BC) and using a controlled design. Random-effects logistic regression calculated the pooled odds ratio (OR) for each surgical outcome (MRI vs. no-MRI groups), and estimated ORs stratified by study-level age. Subgroup analysis was performed for invasive lobular cancer (ILC).Results Nineteen studies met eligibility criteria: 3 RCTs and 16 comparative studies that included newly diagnosed BC of any type except for three studies restricted to ILC. Primary analysis (85,975 subjects) showed that pre-operative MRI was associated with increased odds of receiving mastectomy [OR 1.39 (1.23, 1.57); p < 0.001]; similar findings were shown in analyses stratified by study-level median age. Secondary analyses did not find statistical evidence of an effect of MRI on the rates of re-excision, re-operation, or positive margins; however, MRI was significantly associated with increased odds of receiving contralateral prophylactic mastectomy [OR 1.91 (1.25, 2.91); p = 0.003]. Subgroup analysis for ILC did not find any association between MRI and the odds of receiving mastectomy [OR 1.00 (0.75, 1.33); p = 0.988] or the odds of re-excision [OR 0.65 (0.35, 1.24); p = 0.192].Conclusions Pre-operative MRI is associated with increased odds of receiving ipsilateral mastectomy and contralateral prophylactic mastectomy as surgical treatment in newly diagnosed BC patients.
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Brownlee, S., Chalkidou, K., Doust, J. A., Elshaug, A. G., Glasziou, P., Heath, I., Nagpal, S., Saini, V., Srivastava, D., Chalmers, K., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(16)32585-5 · Cited by 1,154
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Sardanelli, F., Boetes, C., Borisch, B., Decker, T. W., Federico, M., Gilbert, F. J., Helbich, T. H., Heywang-Köbrunner, S. H., Kaiser, W. A., Kerin, M. J., et al. (2010) · European Journal of Cancer · doi:10.1016/j.ejca.2010.02.015 · Cited by 981
Houssami, N., Ciatto, S., Macaskill, P., Lord, S. J., Warren, R. M. L., Dixon, J. M., & Irwig, L. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2007.15.2108 · Cited by 827
Self-citationComparative effectiveness of MRI in breast cancer (COMICE) trial: a randomised controlled trial
Turnbull, L. W., Brown, S., Harvey, I. M., Olivier, C., Drew, P., Napp, V., Hanby, A. M., & Brown, J. M. (2010) · The Lancet · doi:10.1016/s0140-6736(09)62070-5 · Cited by 636
MRI for breast cancer screening, diagnosis, and treatment
Morrow, M., Waters, J., & Morris, E. A. (2011) · The Lancet · doi:10.1016/s0140-6736(11)61350-0 · Cited by 450
Self-citationMarinovich, M. L., Houssami, N., Macaskill, P., Sardanelli, F., Irwig, L., Mamounas, E. P., von Minckwitz, G., Brennan, M. E., & Ciatto, S. (2013) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djs528 · Cited by 383
Self-citationSolin, L. J., Orel, S. G., Hwang, W., Harris, E. E. R., & Schnall, M. D. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2006.09.5448 · Cited by 347
Peters, N. H. G. M., van Esser, S., van den Bosch, M. A. A. J., et al. (2010) · European Journal of Cancer · doi:10.1016/j.ejca.2010.11.035 · Cited by 326
Invasive Breast Cancer Version 1.2016, NCCN Clinical Practice Guidelines in Oncology
Gradishar, W. J., Anderson, B. O., Balassanian, R., Blair, S. L., Burstein, H. J., Cyr, A. E., ELIAS, A. D., Farrar, W. B., Forero, A., Giordano, S. H., et al. (2016) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2016.0037 · Cited by 307
Brennan, M. E., Houssami, N., Lord, S. J., et al. (2009) · Journal of Clinical Oncology · doi:10.1200/jco.2008.21.5756 · Cited by 302
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Houssami, N., Turner, R. M., & Morrow, M. (2012) · Annals of Surgery · doi:10.1097/sla.0b013e31827a8d17 · Cited by 294
Self-citationSaini, V., García-Armesto, S., Klemperer, D., Paris, V., Elshaug, A. G., Brownlee, S., Ioannidis, J. P. A., & Fisher, E. S. (2017) · The Lancet · doi:10.1016/s0140-6736(16)30947-3 · Cited by 269
Houssami, N., & Hayes, D. F. (2009) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.20028 · Cited by 267
Self-citationBleicher, R. J., Ciocca, R. M., Egleston, B. L., et al. (2009) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2009.04.010 · Cited by 255
Mann, R. M., Loo, C. E., Wobbes, T., et al. (2009) · Breast Cancer Research and Treatment · doi:10.1007/s10549-009-0616-6 · Cited by 206
Houssami, N., Turner, R. M., Macaskill, P., et al. (2014) · Journal of Clinical Oncology · doi:10.1200/jco.2013.52.7515 · Cited by 192
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Gonzalez, V., Sandelin, K., Karlsson, A., et al. (2014) · World Journal of Surgery · doi:10.1007/s00268-014-2605-0 · Cited by 130
Pengel, K. E., Loo, C. E., Teertstra, H. J., Muller, S. H., Wesseling, J., Peterse, J. L., Bartelink, H. G. M. M., Rutgers, E. J. T., & Gilhuijs, K. G. A. (2008) · Breast Cancer Research and Treatment · doi:10.1007/s10549-008-0182-3 · Cited by 121
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Stout, N. K., Nekhlyudov, L., Li, L., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.11958 · Cited by 120
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Morrow, M., Abrahamse, P. H., Hofer, T. P., et al. (2017) · JAMA Oncology · doi:10.1001/jamaoncol.2017.0774 · Cited by 116
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Kuhl, C. K., Kuhn, W. C., Braun, M., & Schild, H. H. (2007) · The Breast · doi:10.1016/j.breast.2007.07.014 · Cited by 113
Marinovich, M. L., Macaskill, P., Irwig, L., Sardanelli, F., von Minckwitz, G., Mamounas, E. P., Brennan, M. E., Ciatto, S., & Houssami, N. (2013) · British Journal of Cancer · doi:10.1038/bjc.2013.473 · Cited by 108
Self-citationFancellu, A., Turner, R. M., Dixon, J. M., Pinna, A., Cottu, P., & Houssami, N. (2015) · British journal of surgery · doi:10.1002/bjs.9797 · Cited by 101
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Miller, B. T., Abbott, A. M., & Tuttle, T. M. (2011) · Annals of Surgical Oncology · doi:10.1245/s10434-011-1932-8 · Cited by 98
McGhan, L. J., Wasif, N., Gray, R. J., et al. (2010) · Annals of Surgical Oncology · doi:10.1245/s10434-010-1266-y · Cited by 82
Fortune-Greeley, A. K., Wheeler, S. B., Meyer, A., Reeder-Hayes, K. E., Biddle, A. K., Muss, H. B., & Carpenter, W. R. (2013) · Breast Cancer Research and Treatment · doi:10.1007/s10549-013-2787-4 · Cited by 79
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Self-citationWoodard, P. K., Bluemke, D. A., Cascade, P. N., et al. (2006) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2006.06.007 · Cited by 65
Killelea, B. K., Long, J. B., Chagpar, A. B., Ma, X., Soulos, P. R., Ross, J. S., & Gross, C. P. (2013) · Breast Cancer Research and Treatment · doi:10.1007/s10549-013-2656-1 · Cited by 59
Use of Preoperative Magnetic Resonance Imaging for Breast Cancer
Arnaout, A., Catley, C., Booth, C. M., et al. (2015) · JAMA Oncology · doi:10.1001/jamaoncol.2015.3018 · Cited by 56
Landercasper, J., Bailey, L., Berry, T. S., et al. (2016) · Annals of Surgical Oncology · doi:10.1245/s10434-016-5327-8 · Cited by 48
Vapiwala, N., Hwang, W., Kushner, C. J., et al. (2016) · Cancer · doi:10.1002/cncr.30479 · Cited by 44
Pilewskie, M. L., & King, T. A. (2014) · Cancer · doi:10.1002/cncr.28700 · Cited by 39
Grady, I., Gorsuch-Rafferty, H., & Hadley, P. (2012) · The Breast Journal · doi:10.1111/j.1524-4741.2012.01227.x · Cited by 39
Vos, E. L., Voogd, A. C., Verhoef, C. K., et al. (2015) · British journal of surgery · doi:10.1002/bjs.9947 · Cited by 35
Chandwani, S., George, P., Azu, M. C., et al. (2014) · Annals of Surgical Oncology · doi:10.1245/s10434-014-3748-9 · Cited by 35
Current clinical indications for magnetic resonance imaging of the breast
Knuttel, F. M., Menezes, G. L. G., van den Bosch, M. A. A. J., et al. (2014) · Journal of Surgical Oncology · doi:10.1002/jso.23655 · Cited by 32
Brennan, M. E., McKessar, M., Snook, K., Burgess, I. A., & Spillane, A. J. (2017) · The Breast · doi:10.1016/j.breast.2017.01.015 · Cited by 30
The Case Against Routine Preoperative Breast MRI
Jatoi, I., & Benson, J. R. (2013) · Future Oncology · doi:10.2217/fon.12.186 · Cited by 29
Selective Preoperative Magnetic Resonance Imaging in Women With Breast Cancer
Weber, J. J., Bellin, L., Milbourn, D. E., et al. (2012) · Archives of Surgery · doi:10.1001/archsurg.2012.1660 · Cited by 28
Heil, J., Bühler, A., Golatta, M., et al. (2011) · Annals of Surgical Oncology · doi:10.1245/s10434-011-1565-y · Cited by 27
Onega, T., Tosteson, A. N. A., Weiss, J. E., Alford‐Teaster, J., Hubbard, R. A., Henderson, L. M., Kerlikowske, K. M., Goodrich, M., O’Donoghue, C., Wernli, K. J., et al. (2016) · BMC Health Services Research · doi:10.1186/s12913-016-1317-6 · Cited by 21
Parsyan, A. E., Moldoveanu, D., Balram, B., et al. (2015) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2015.08.028 · Cited by 20
Surgical impact of preoperative breast MRI in women below 40 years of age
Petrillo, A., Porto, A., Fusco, R., et al. (2013) · Breast Cancer Research and Treatment · doi:10.1007/s10549-013-2651-6 · Cited by 16
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Killelea, B. K., Grube, B. J., Rishi, M. A., et al. (2013) · World Journal of Surgical Oncology · doi:10.1186/1477-7819-11-154 · Cited by 14
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Metadata
- Authors
- Houssami, N., Turner, R. M., & Morrow, M.
- Affiliations
- The University of Sydney (AU)
- UNSW Sydney (AU)
- Memorial Sloan Kettering Cancer Center (US)
- Corresponding author
- Houssami, Nehmat
- Venue
- Breast Cancer Research and Treatment
- Published
- 2017-06-06
- Volume
- 165
- Issue
- 2
- Pages
- 273-283
- ISSN
- 0167-6806 (ISSN-L)
- 1573-7217
- PMC
- PMC5580248
- OpenAlex
- W2622061173
- Cited by
- 243
- References
- 47
- Citations by year
- 2026: 21 · 2025: 21 · 2024: 19 · 2023: 49 · 2022: 28 · 2021: 37 · 2020: 30 · 2019: 22 · 2018: 13 · 2017: 2
- FWCI
- 2.77
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Breast Cancer Research and Treatment (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- The Sydney eScholarship Repository (The University of Sydney) (submittedVersion)
- Funders
- National Cancer Institute (P30CA008748)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › MRI in cancer diagnosis
- Health Sciences › Medicine › Pathology and Forensic Medicine › Breast Lesions and Carcinomas
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Keywords
- breast cancer surgery, mastectomy, contralateral prophylactic mastectomy, re-excision, surgical outcomes, invasive lobular carcinoma, newly diagnosed breast cancer
- MeSH terms
- Breast Neoplasms, Female, Humans, Magnetic Resonance Imaging, Mastectomy, Preoperative Care, Prognosis, Reoperation, Mastectomy, Segmental, Odds Ratio, Treatment Outcome
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