Computer-aided diagnosis for detection of interstitial opacities on chest radiographs

Laurence Monnier-Cholley, Heber MacMahon, Shigehiko Katsuragawa, Junji Morishita, Takayuki Ishida, Kunio Doi

Research output: Contribution to journalArticlepeer-review

59 Citations (Scopus)


OBJECTIVE. Our objective was to evaluate the impact of a computer-aided diagnostic scheme on radiologists' interpretations of chest radiographs with interstitial opacities by performing an observer test using receiver operating characteristic (ROC) analysis. MATERIALS AND METHODS. Twenty chest radiographs with normal findings and 20 chest radiographs with abnormal findings were used. Each radiograph was divided into four quadrants. One hundred twenty-nine quadrants (80 normal and 49 abnormal quadrants) were used for testing because we excluded 31 equivocal quadrants. Sixteen independent observers (10 residents and six attending radiologists) participated in this study. The radiologists' performance without and with computer assistance, which indicated cases with normal and abnormal findings by various markers, was evaluated by ROC analysis. RESULTS. The diagnostic accuracy of the observers improved by a statistically significant magnitude when computer- aided diagnosis was used. Thus, the values for the area under the ROC curve obtained with and without the computer-aided diagnostic output were .970 and .948 (p = 20002), respectively, for all observers; .969 and .943 (p = .0006), respectively, for the residents' subgroup; and .972 and .960 (p = .162), respectively, for the attending radiologists' subgroup. The value for the area under the ROC curve for the computerized scheme by itself was .943. CONCLUSION. Our computer-aided diagnostic scheme can assist radiologists in the diagnosis or exclusion of interstitial disease on chest radiographs.

Original languageEnglish
Pages (from-to)1651-1656
Number of pages6
JournalAmerican Journal of Roentgenology
Issue number6
Publication statusPublished - Dec 1998
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging


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