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Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon.

Publication ,  Journal Article
Baker, JA; Kornguth, PJ; Lo, JY; Williford, ME; Floyd, CE
Published in: Radiology
September 1995

PURPOSE: To determine if an artificial neural network (ANN) to categorize benign and malignant breast lesions can be standardized for use by all radiologists. MATERIALS AND METHODS: An ANN was constructed based on the standardized lexicon of the Breast Imaging Recording and Data System (BI-RADS) of the American College of Radiology. Eighteen inputs to the network included 10 BI-RADS lesion descriptors and eight input values from the patient's medical history. The network was trained and tested on 206 cases (133 benign, 73 malignant cases). Receiver operating characteristic curves for the network and radiologists were compared. RESULTS: At a specified output threshold, the ANN would have improved the positive predictive value (PPV) of biopsy from 35% to 61% with a relative sensitivity of 100%. At a fixed sensitivity of 95%, the specificity of the ANN (62%) was significantly greater than the specificity of radiologists (30%) (P < .01). CONCLUSION: The BI-RADS lexicon provides a standardized language between mammographers and an ANN that can improve the PPV of breast biopsy.

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Published In

Radiology

DOI

ISSN

0033-8419

Publication Date

September 1995

Volume

196

Issue

3

Start / End Page

817 / 822

Location

United States

Related Subject Headings

  • Terminology as Topic
  • Sensitivity and Specificity
  • Radiology
  • ROC Curve
  • Prospective Studies
  • Predictive Value of Tests
  • Nuclear Medicine & Medical Imaging
  • Neural Networks, Computer
  • Middle Aged
  • Mammography
 

Citation

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Baker, J. A., Kornguth, P. J., Lo, J. Y., Williford, M. E., & Floyd, C. E. (1995). Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon. Radiology, 196(3), 817–822. https://doi.org/10.1148/radiology.196.3.7644649
Baker, J. A., P. J. Kornguth, J. Y. Lo, M. E. Williford, and C. E. Floyd. “Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon.Radiology 196, no. 3 (September 1995): 817–22. https://doi.org/10.1148/radiology.196.3.7644649.
Baker JA, Kornguth PJ, Lo JY, Williford ME, Floyd CE. Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon. Radiology. 1995 Sep;196(3):817–22.
Baker, J. A., et al. “Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon.Radiology, vol. 196, no. 3, Sept. 1995, pp. 817–22. Pubmed, doi:10.1148/radiology.196.3.7644649.
Baker JA, Kornguth PJ, Lo JY, Williford ME, Floyd CE. Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon. Radiology. 1995 Sep;196(3):817–822.

Published In

Radiology

DOI

ISSN

0033-8419

Publication Date

September 1995

Volume

196

Issue

3

Start / End Page

817 / 822

Location

United States

Related Subject Headings

  • Terminology as Topic
  • Sensitivity and Specificity
  • Radiology
  • ROC Curve
  • Prospective Studies
  • Predictive Value of Tests
  • Nuclear Medicine & Medical Imaging
  • Neural Networks, Computer
  • Middle Aged
  • Mammography