Using tissue texture surrounding calcification clusters to predict benign vs malignant outcomes.

@article{Thiele1996UsingTT,
  title={Using tissue texture surrounding calcification clusters to predict benign vs malignant outcomes.},
  author={Dwain L. Thiele and Carolyn Kimme-Smith and Timothy D. Johnson and Marc McCombs and Lawrence W. Bassett},
  journal={Medical physics},
  year={1996},
  volume={23 4},
  pages={549-55}
}
The positive predictive value of mammography is between 20% and 25% for clustered microcalcifications. For very early cancers there is often a lack of concordance between mammographic signs and pathology. This study examines the usefulness of computer texture analysis to improve the accuracy of malignant diagnosis. Texture analysis of the breast tissue surrounding microcalcifications on digitally acquired images during stereotactic biopsy is used in this study to predict malignant vs benign… CONTINUE READING

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