Classification of breast lesions with multimodality computer-aided diagnosis: Observer study results on an independent clinical data set

Karla Horsch, Maryellen L. Giger*, Carl J. Vyborny, Li Lan, Ellen B. Mendelson, R. Edward Hendrick

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

87 Scopus citations

Abstract

Purpose: To evaluate a computer-aided diagnosis multimodality intelligent workstation as an aid to radiologists in the interpretation of mammograms and breast sonograms. Materials and Methods: An institutional review board approved the protocol for an observer study with signed consent, as well as the retrospective use of the mammograms, sonograms, and clinical data with waiver of consent. The HIPAA-compliant observer study was conducted with five breast radiologists and five breast imaging fellows, all of whom gave confidence ratings and patient management decisions, both without and with the computer aid, for 97 lesions that were unknown to both the observers and the computer. The performance of each observer without and with the computer aid was quantified by using four performance measures: area under the receiver operating characteristic curve (Az) value, partial Az value, sensitivity, and specificity. The statistical significance of the differences in the performance measures without and with the computer aid was determined by using a two-tailed t test for paired data. Results: Use of the computer aid resulted in an improvement of the average performance of the 10 observers, as measured by means of a statistically significant increase in Az value (0.87-0.92; P < .001), partial Az value (0.47-0.68; P < .001 ), and sensitivity (0.88-0.93; P = .005). A statistically significant difference was not found in the specificity without and with the computer aid (0.66-0.69; P = .20). Conclusion: Use of multimodality intelligent workstations can improve the performance of radiologists in the task of differentiating malignant and benign lesions at mammography and sonography.

Original languageEnglish (US)
Pages (from-to)357-368
Number of pages12
JournalRadiology
Volume240
Issue number2
DOIs
StatePublished - Aug 2006

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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