The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
The role of magnetic resonance imaging in assessing residual disease and pathologic complete response in breast cancer patients receiving neoadjuvant chemotherapy: a systematic review
Open accessAbstract
OBJECTIVES: This systematic review aimed to assess the role of magnetic resonance imaging (MRI) in evaluating residual disease extent and the ability to detect pathologic complete response (pCR) after neoadjuvant chemotherapy for invasive breast cancer. METHODS: PubMed, the Cochrane Library, MEDLINE, and Embase databases were searched for relevant studies published until 1 July 2012. After primary selection, two reviewers independently assessed the content of each eligible study using a standardised extraction form and pre-defined inclusion and exclusion criteria. RESULTS: A total of 35 eligible studies were selected. Correlation coefficients of residual tumour size assessed by MRI and pathology were good, with a median value of 0.698. Reported sensitivity, specificity, positive predictive value and negative predictive value for predicting pCR with MRI ranged from 25 to 100 %, 50-97 %, 47-73 % and 71-100 %, respectively. Both overestimation and underestimation were observed. MRI proved more accurate in determining residual disease than physical examination, mammography and ultrasound. Diagnostic accuracy of MRI after neoadjuvant chemotherapy could be influenced by treatment regimen and breast cancer subtype. CONCLUSIONS: Breast MRI accuracy for assessing residual disease after neoadjuvant chemotherapy is good and surpasses other diagnostic means. However, both overestimation and underestimation of residual disease extent could be observed. MAIN MESSAGES: • Breast MRI accuracy for assessing residual disease is good and surpasses other diagnostic means. • Correlation coefficients of residual tumour size assessed by MRI and pathology were considered good. • However, both overestimation and underestimation of residual disease were observed. • Diagnostic accuracy of MRI seems to be affected by treatment regimen and breast cancer subtype.
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“MRI is superior to mammography and US in determining tumor extent and morphology before and after NAC because it provides comprehensive imaging information about tumors (6).”
From A multimodal and fully automated system for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer (2025) · cites this paper as [6]
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Cites
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Yeh, E. D., Slanetz, P. J., Kopans, D. B., Rafferty, E. A., Georgian-Smith, D., Moy, L. P., Halpern, E. F., Moore, R. H., Kuter, I., & Taghian, A. G. (2005) · American Journal of Roentgenology · doi:10.2214/ajr.184.3.01840868 · Cited by 400
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Cited by
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Contrast-enhanced Mammography: State of the Art
Jochelson, M. S., & Lobbes, M. B. I. (2021) · Radiology · doi:10.1148/radiol.2021201948 · Cited by 353
Self-citationHylton, N. M., Gatsonis, C. A., Rosen, M. A., Lehman, C. D., Newitt, D. C., Partridge, S. C., Bernreuter, W. K., Pisano, E. D., Morris, E. A., Weatherall, P. T., et al. (2015) · Radiology · doi:10.1148/radiol.2015150013 · Cited by 278
Imaging Neoadjuvant Therapy Response in Breast Cancer
Fowler, A. M., Mankoff, D. A., & Joe, B. N. (2017) · Radiology · doi:10.1148/radiol.2017170180 · Cited by 244
Quality indicators in breast cancer care: An update from the EUSOMA working group
Biganzoli, L., Marotti, L., Hart, C. D., Cataliotti, L., Cutuli, B., Kühn, T., Mansel, R. E., Ponti, A., Poortmans, P. M., Regitnig, P., et al. (2017) · European Journal of Cancer · doi:10.1016/j.ejca.2017.08.017 · Cited by 225
Liedtke, C., & Thill, M. (2016) · Breast Care · doi:10.1159/000446941 · Cited by 188
Metadata
- Authors
- Lobbes, M. B. I., Prevos, R., Smidt, M., Tjan-Heijnen, V. C. G., van Goethem, M., Schipper, R., Beets-Tan, R. G., & Wildberger, J. E.
- Affiliations
- Maastricht University Medical Centre (NL)
- Corresponding author
- Lobbes, M. B. I.
- Venue
- Insights into Imaging
- Published
- 2013-01-29
- Volume
- 4
- Issue
- 2
- Pages
- 163-175
- ISSN
- 1869-4101 (ISSN-L)
- PMC
- PMC3609956
- OpenAlex
- W2057016707
- Cited by
- 237
- References
- 56
- Citations by year
- 2026: 10 · 2025: 15 · 2024: 27 · 2023: 21 · 2022: 22 · 2021: 25 · 2020: 15 · 2019: 23 · 2018: 16 · 2017: 24 · 2016: 16 · 2015: 11 · 2014: 8 · 2013: 4
- FWCI
- 1.84
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Insights into Imaging (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by)
- Research Publications (Maastricht University) (submittedVersion, cc-by)
- 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 MRI, residual disease, pathological complete response, neoadjuvant chemotherapy, invasive breast cancer, diagnostic accuracy, breast cancer subtypes
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