Unbound MEDLINE

Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists' detection performance. Radiology. [Radiology] Journal article

 
TitlePulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists' detection performance.
Author(s)Awai K, Murao K, Ozawa A, Komi M, Hayakawa H, Hori S, Nishimura Y 
InstitutionDepartment of Radiology, Kinki University School of Medicine, 377-2 Oono-higashi, Osaka-Sayama City, Osaka 589-8511, Japan.
SourceRadiology 2004 Feb; 230(2):347-52.
MeSHAdult
Aged
Aged, 80 and over
Area Under Curve
Clinical Competence
Coin Lesion, Pulmonary
Comparative Study
Diagnosis, Computer-Assisted
Female
Humans
Internship and Residency
Lung Neoplasms
Male
Middle Aged
Observer Variation
Predictive Value of Tests
ROC Curve
Radiology
Tomography, Spiral Computed
AbstractPURPOSE: To evaluate the effect of computer-aided diagnosis (CAD) on radiologists' detection of pulmonary nodules.
MATERIALS AND METHODS: Fifty chest computed tomographic (CT) examination cases were used. The mean nodule size was 0.81 cm +/- 0.60 (SD) (range, 0.3-2.9 cm). Alternative free-response receiver operating characteristic (ROC) analysis with a continuous rating scale was used to compare the observers' performance in detecting nodules with and without use of CAD. Five board-certified radiologists and five radiology residents participated in an observer performance study. First they were asked to rate the probability of nodule presence without using CAD; then they were asked to rate the probability of nodule presence by using CAD.
RESULTS: For all radiologists, the mean areas under the best-fit alternative free-response ROC curves (Az) without and with CAD were 0.64 +/- 0.08 and 0.67 +/- 0.09, respectively, indicating a significant difference (P <.01). For the five board-certified radiologists, the mean Az values without and with CAD were 0.63 +/- 0.08 and 0.66 +/- 0.09, respectively, indicating a significant difference (P <.01). For the five resident radiologists, the mean Az values without and with CAD were 0.66 +/- 0.04 and 0.68 +/- 0.04, respectively, indicating a significant difference (P =.02). At observer performance analyses, there were no significant differences in Az values obtained either without (P =.61) or with (P =.88) CAD between the board-certified radiologists and the residents. For all radiologists, in the detection of pulmonary nodules 1.0 cm in diameter or smaller, the mean Az values without and with CAD were 0.60 +/- 0.11 and 0.64 +/- 0.11, respectively, indicating a significant difference (P <.01).
CONCLUSION: Use of the CAD system improved the board-certified radiologists' and residents' detection of pulmonary nodules at chest CT.
Languageeng
Pub Type(s)Journal Article
PubMed ID14752180
  
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