Skip to main content
Journal cover image

Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?

Publication ,  Journal Article
Harowicz, MR; Saha, A; Grimm, LJ; Marcom, PK; Marks, JR; Hwang, ES; Mazurowski, MA
Published in: J Magn Reson Imaging
November 2017

PURPOSE: To assess the ability of algorithmically assessed magnetic resonance imaging (MRI) features to predict the likelihood of upstaging to invasive cancer in newly diagnosed ductal carcinoma in situ (DCIS). MATERIALS AND METHODS: We identified 131 patients at our institution from 2000-2014 with a core needle biopsy-confirmed diagnosis of pure DCIS, a 1.5 or 3T preoperative bilateral breast MRI with nonfat-saturated T1 -weighted MRI sequences, no preoperative therapy before breast MRI, and no prior history of breast cancer. A fellowship-trained radiologist identified the lesion on each breast MRI using a bounding box. Twenty-nine imaging features were then computed automatically using computer algorithms based on the radiologist's annotation. RESULTS: The rate of upstaging of DCIS to invasive cancer in our study was 26.7% (35/131). Out of all imaging variables tested, the information measure of correlation 1, which quantifies spatial dependency in neighboring voxels of the tumor, showed the highest predictive value of upstaging with an area under the curve (AUC) = 0.719 (95% confidence interval [CI]: 0.609-0.829). This feature was statistically significant after adjusting for tumor size (P < 0.001). CONCLUSION: Automatically assessed MRI features may have a role in triaging which patients with a preoperative diagnosis of DCIS are at highest risk for occult invasive disease. LEVEL OF EVIDENCE: 4 Technical Efficacy: Stage 3 J. Magn. Reson. Imaging 2017;46:1332-1340.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

J Magn Reson Imaging

DOI

EISSN

1522-2586

Publication Date

November 2017

Volume

46

Issue

5

Start / End Page

1332 / 1340

Location

United States

Related Subject Headings

  • Retrospective Studies
  • Radiology
  • Preoperative Period
  • Nuclear Medicine & Medical Imaging
  • Neoplasm Staging
  • Neoplasm Invasiveness
  • Middle Aged
  • Magnetic Resonance Imaging
  • Humans
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Harowicz, M. R., Saha, A., Grimm, L. J., Marcom, P. K., Marks, J. R., Hwang, E. S., & Mazurowski, M. A. (2017). Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer? J Magn Reson Imaging, 46(5), 1332–1340. https://doi.org/10.1002/jmri.25655
Harowicz, Michael R., Ashirbani Saha, Lars J. Grimm, P Kelly Marcom, Jeffrey R. Marks, E Shelley Hwang, and Maciej A. Mazurowski. “Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?J Magn Reson Imaging 46, no. 5 (November 2017): 1332–40. https://doi.org/10.1002/jmri.25655.
Harowicz MR, Saha A, Grimm LJ, Marcom PK, Marks JR, Hwang ES, et al. Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer? J Magn Reson Imaging. 2017 Nov;46(5):1332–40.
Harowicz, Michael R., et al. “Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?J Magn Reson Imaging, vol. 46, no. 5, Nov. 2017, pp. 1332–40. Pubmed, doi:10.1002/jmri.25655.
Harowicz MR, Saha A, Grimm LJ, Marcom PK, Marks JR, Hwang ES, Mazurowski MA. Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer? J Magn Reson Imaging. 2017 Nov;46(5):1332–1340.
Journal cover image

Published In

J Magn Reson Imaging

DOI

EISSN

1522-2586

Publication Date

November 2017

Volume

46

Issue

5

Start / End Page

1332 / 1340

Location

United States

Related Subject Headings

  • Retrospective Studies
  • Radiology
  • Preoperative Period
  • Nuclear Medicine & Medical Imaging
  • Neoplasm Staging
  • Neoplasm Invasiveness
  • Middle Aged
  • Magnetic Resonance Imaging
  • Humans
  • Female