Meta-Analysis of Magnetic Resonance Imaging in Detecting Residual Breast Cancer After Neoadjuvant Therapy | Zendy

M. Luke Marinovich | Zendy; Nehmat Houssami | Zendy; Petra Macaskill | Zendy; Francesco Sardanelli | Zendy; Les Irwig | Zendy; Eleftherios P. Mamounas | Zendy; Gϋnter von Minckwitz | Zendy; Meagan Brennan | Zendy; Stefano Ciatto | Zendy

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Meta-Analysis of Magnetic Resonance Imaging in Detecting Residual Breast Cancer After Neoadjuvant Therapy

Author(s) -

M. Luke Marinovich,

Nehmat Houssami,

Petra Macaskill,

Francesco Sardanelli,

Les Irwig,

Eleftherios P. Mamounas,

Gϋnter von Minckwitz,

Meagan Brennan,

Stefano Ciatto

Publication year - 2013

Publication title -

jnci journal of the national cancer institute

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 5.797

H-Index - 356

eISSN - 1460-2105

pISSN - 0027-8874

DOI - 10.1093/jnci/djs528

Subject(s) - magnetic resonance imaging , breast cancer , neoadjuvant therapy , medicine , residual , oncology , radiology , cancer , computer science , algorithm

It has been proposed that magnetic resonance imaging (MRI) be used to guide breast cancer surgery by differentiating residual tumor from pathologic complete response (pCR) after neoadjuvant chemotherapy. This meta-analysis examines MRI accuracy in detecting residual tumor, investigates variables potentially affecting MRI performance, and compares MRI with other tests.

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