Computer-aided detection of lung nodules on multidetector CT in concurrent-reader and second-reader modes: a comparative study.
Eur J Radiol
; 82(8): 1332-7, 2013 Aug.
Article
in En
| MEDLINE
| ID: mdl-23480965
PURPOSE: To compare the reading times and detection performances of radiologists in concurrent-reader and second-reader modes of computer-aided detection (CAD) for lung nodules on multidetector computed tomography (CT). MATERIALS AND METHODS: Fifty clinical multidetector CT datasets containing nodules up to 20mm in diameter were retrospectively collected. For the detection and rating of non-calcified nodules larger than 4mm in diameter, 6 radiologists (3 experienced radiologists and 3 resident radiologists) independently interpreted these datasets twice, once with concurrent-reader CAD and once with second-reader CAD. The reference standard of nodules in the datasets was determined by the consensus of two experienced chest radiologists. The reading times and detection performances in the two modes of CAD were statistically compared, where jackknife free-response receiver operating characteristic (JAFROC) analysis was used for the comparison of detection performances. RESULTS: Two hundreds and seven nodules constituted the reference standard. Reading time was significantly shorter in the concurrent-reader mode than in the second-reader mode, with the mean reading time for the 6 radiologists being 132s with concurrent-reader CAD and 210s with second-reader CAD (p<0.01). JAFROC analysis revealed no significant difference between the detection performances in the two modes, with the average figure-of-merit value for the 6 radiologists being 0.70 with concurrent-reader CAD and 0.72 with second-reader CAD (p=0.35). CONCLUSION: In CAD for lung nodules on multidetector CT, the concurrent-reader mode is more time-efficient than the second-reader mode, and there can be no significant difference between the two modes in terms of detection performance of radiologists.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Pattern Recognition, Automated
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Radiographic Image Interpretation, Computer-Assisted
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Solitary Pulmonary Nodule
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Diagnostic Errors
Type of study:
Diagnostic_studies
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Etiology_studies
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Prevalence_studies
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Risk_factors_studies
Limits:
Adult
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Aged
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Aged80
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Female
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Humans
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Male
/
Middle aged
Country/Region as subject:
Asia
Language:
En
Journal:
Eur J Radiol
Year:
2013
Document type:
Article
Affiliation country:
Japan
Country of publication:
Ireland