MRI features predictive of negative surgical margins in patients with HER2 overexpressing breast cancer undergoing breast conservation Journal Article


Authors: Dashevsky, B. Z.; Oh, J. H.; Apte, A. P.; Bernard-Davila, B.; Morris, E. A.; Deasy, J. O.; Sutton, E. J.
Article Title: MRI features predictive of negative surgical margins in patients with HER2 overexpressing breast cancer undergoing breast conservation
Abstract: Here we develop a tool to predict resectability of HER2+ breast cancer at breast conservation surgery (BCS) utilizing features identified on preoperative breast MRI. We identified patients with HER2+ breast cancer who obtained pre-operative breast MRI and underwent BCS between 2002-2013. From the contoured tumor on pre-operative MRI, shape, histogram, and co-occurrence and size zone matrix texture features were extracted. In univariate analysis, Spearman's correlation coefficient (Rs) was used to assess the correlation between each image feature and an endpoint (surgical re-excision). For multivariate modeling, we employed a support vector machine (SVM) method in a manner of leave-one-out cross-validation (LOOCV). Of 109 patients with HER2+breast cancer who underwent BCS, 39% underwent surgical re-excision. 62% had residual cancer at re-excision. In univariate analysis, solidity (Rs = -0.32, p = 0.009) and extent (Rs = -0.29, p = 0.019) were significantly associated with re-excision. Skewness in post-contrast 1, 2, and 3 (Rs = 0.25, p = 0.045; Rs = 0.30, p = 0.015; Rs = 0.28, p = 0.026) and kurtosis in post-contrast 1 (Rs = 0.26, p = 0.035) were also statistically significant. LOOCV-based SVM test achieved 74.4% specificity and 71.4% sensitivity when 21 features were used. Thus, tumor texture, histogram and morphological MRI features may assist surgical planning, encouraging wide margins or mastectomy in patients who may otherwise go on to re-excision. © 2017 The Author(s).
Journal Title: Scientific Reports
Volume: 8
ISSN: 2045-2322
Publisher: Nature Publishing Group  
Date Published: 2018-01-10
Start Page: 315
Language: English
DOI: 10.1038/s41598-017-18758-0
PROVIDER: scopus
PMCID: PMC5762896
PUBMED: 29321645
DOI/URL:
Notes: Article -- Export Date: 1 February 2018 -- Source: Scopus
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MSK Authors
  1. Elizabeth A Morris
    341 Morris
  2. Jung Hun Oh
    187 Oh
  3. Joseph Owen Deasy
    524 Deasy
  4. Aditya Apte
    203 Apte
  5. Elizabeth Jane Sutton
    70 Sutton
  6. Bianca Bernard
    24 Bernard