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Effects of MRI scanner parameters on breast cancer radiomics.

Publication ,  Journal Article
Saha, A; Yu, X; Sahoo, D; Mazurowski, MA
Published in: Expert Syst Appl
November 30, 2017

PURPOSE: To assess the impact of varying magnetic resonance imaging (MRI) scanner parameters on the extraction of algorithmic features in breast MRI radiomics studies. METHODS: In this retrospective study, breast imaging data for 272 patients were analyzed with magnetic resonance (MR) images. From the MR images, we assembled and implemented 529 algorithmic features of breast tumors and fibrograndular tissue (FGT). We divided the features into 10 groups based on the type of data used for the feature extraction and the nature of the extracted information. Three scanner parameters were considered: scanner manufacturer, scanner magnetic field strength, and slice thickness. We assessed the impact of each of the scanner parameters on each of the feature by testing whether the feature values are systematically diverse for different values of these scanner parameters. A two-sample t-test has been used to establish whether the impact of a scanner parameter on values of a feature is significant and receiver operating characteristics have been used for to establish the extent of that effect. RESULTS: On average, higher proportion (69% FGT versus 20% tumor) of FGT related features were affected by the three scanner parameters. Of all feature groups and scanner parameters, the feature group related to the variation in FGT enhancement was found to be the most sensitive to the scanner manufacturer (AUC = 0.81 ± 0.14). CONCLUSIONS: Features involving calculations from FGT are particularly sensitive to the scanner parameters.

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Published In

Expert Syst Appl

DOI

ISSN

0957-4174

Publication Date

November 30, 2017

Volume

87

Start / End Page

384 / 391

Location

United States

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 09 Engineering
  • 08 Information and Computing Sciences
  • 01 Mathematical Sciences
 

Citation

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Saha, A., Yu, X., Sahoo, D., & Mazurowski, M. A. (2017). Effects of MRI scanner parameters on breast cancer radiomics. Expert Syst Appl, 87, 384–391. https://doi.org/10.1016/j.eswa.2017.06.029
Saha, Ashirbani, Xiaozhi Yu, Dushyant Sahoo, and Maciej A. Mazurowski. “Effects of MRI scanner parameters on breast cancer radiomics.Expert Syst Appl 87 (November 30, 2017): 384–91. https://doi.org/10.1016/j.eswa.2017.06.029.
Saha A, Yu X, Sahoo D, Mazurowski MA. Effects of MRI scanner parameters on breast cancer radiomics. Expert Syst Appl. 2017 Nov 30;87:384–91.
Saha, Ashirbani, et al. “Effects of MRI scanner parameters on breast cancer radiomics.Expert Syst Appl, vol. 87, Nov. 2017, pp. 384–91. Pubmed, doi:10.1016/j.eswa.2017.06.029.
Saha A, Yu X, Sahoo D, Mazurowski MA. Effects of MRI scanner parameters on breast cancer radiomics. Expert Syst Appl. 2017 Nov 30;87:384–391.
Journal cover image

Published In

Expert Syst Appl

DOI

ISSN

0957-4174

Publication Date

November 30, 2017

Volume

87

Start / End Page

384 / 391

Location

United States

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 09 Engineering
  • 08 Information and Computing Sciences
  • 01 Mathematical Sciences