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A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.

Publication ,  Journal Article
Saha, A; Harowicz, MR; Wang, W; Mazurowski, MA
Published in: J Cancer Res Clin Oncol
May 2018

PURPOSE: To determine whether multivariate machine learning models of algorithmically assessed magnetic resonance imaging (MRI) features from breast cancer patients are associated with Oncotype DX (ODX) test recurrence scores. METHODS: A set of 261 female patients with invasive breast cancer, pre-operative dynamic contrast enhanced magnetic resonance (DCE-MR) images and available ODX score at our institution was identified. A computer algorithm extracted a comprehensive set of 529 features from the DCE-MR images of these patients. The set of patients was divided into a training set and a test set. Using the training set we developed two machine learning-based models to discriminate (1) high ODX scores from intermediate and low ODX scores, and (2) high and intermediate ODX scores from low ODX scores. The performance of these models was evaluated on the independent test set. RESULTS: High against low and intermediate ODX scores were predicted by the multivariate model with AUC 0.77 (95% CI 0.56-0.98, p < 0.003). Low against intermediate and high ODX score was predicted with AUC 0.51 (95% CI 0.41-0.61, p = 0.75). CONCLUSION: A moderate association between imaging and ODX score was identified. The evaluated models currently do not warrant replacement of ODX with imaging alone.

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Published In

J Cancer Res Clin Oncol

DOI

EISSN

1432-1335

Publication Date

May 2018

Volume

144

Issue

5

Start / End Page

799 / 807

Location

Germany

Related Subject Headings

  • Risk Factors
  • Prognosis
  • Oncology & Carcinogenesis
  • Neoplasm Recurrence, Local
  • Multivariate Analysis
  • Middle Aged
  • Magnetic Resonance Imaging
  • Machine Learning
  • Humans
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Saha, A., Harowicz, M. R., Wang, W., & Mazurowski, M. A. (2018). A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models. J Cancer Res Clin Oncol, 144(5), 799–807. https://doi.org/10.1007/s00432-018-2595-7
Saha, Ashirbani, Michael R. Harowicz, Weiyao Wang, and Maciej A. Mazurowski. “A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.J Cancer Res Clin Oncol 144, no. 5 (May 2018): 799–807. https://doi.org/10.1007/s00432-018-2595-7.
Saha A, Harowicz MR, Wang W, Mazurowski MA. A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models. J Cancer Res Clin Oncol. 2018 May;144(5):799–807.
Saha, Ashirbani, et al. “A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.J Cancer Res Clin Oncol, vol. 144, no. 5, May 2018, pp. 799–807. Pubmed, doi:10.1007/s00432-018-2595-7.
Saha A, Harowicz MR, Wang W, Mazurowski MA. A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models. J Cancer Res Clin Oncol. 2018 May;144(5):799–807.
Journal cover image

Published In

J Cancer Res Clin Oncol

DOI

EISSN

1432-1335

Publication Date

May 2018

Volume

144

Issue

5

Start / End Page

799 / 807

Location

Germany

Related Subject Headings

  • Risk Factors
  • Prognosis
  • Oncology & Carcinogenesis
  • Neoplasm Recurrence, Local
  • Multivariate Analysis
  • Middle Aged
  • Magnetic Resonance Imaging
  • Machine Learning
  • Humans
  • Female