Journal article
Radiologist performance in the detection of lung cancer using CT
Clinical radiology, Vol.74(1), pp.67-75
01/2019
DOI: 10.1016/j.crad.2018.10.008
PMID: 30470412
Abstract
To measure the level of radiologists' performance in lung cancer detection, and to explore radiologists' performance in cancer specialised and non-specialised centres.
Thirty radiologists read 60 chest computed tomography (CT) examinations. Thirty cases had surgically or biopsy-proven lung cancer and 30 were cancer-free cases. The cancer cases were validated by four expert radiologists who located the malignant lung nodules. Reader performance was evaluated by calculating sensitivity, location sensitivity, specificity, and area under the receiver operating characteristic (ROC) curve (AUC). In addition, sensitivity at fixed specificity (0.794) was computed from each reader's estimated ROC curve.
The radiologists had a mean sensitivity of 0.749, sensitivity at fixed specificity of 0.744, location sensitivity of 0.666, specificity of 0.81 and AUC of 0.846. Radiologists in the specialised and non-specialised cancer centres had the following (specialised, non-specialised) pairs of values: sensitivity=(0.80, 0.719); sensitivity for fixed 0.794 specificity=(0.752, 0.740); location sensitivity=(0.712, 0.637); specificity=(0.794, 0.82) and AUC=(0.846, 0.846).
The efficacy of radiologists was comparable to other studies. Furthermore, AUC outcomes were similar for specialised and non-specialised cancer centre radiologists, suggesting they have similar discriminatory ability and that the higher sensitivity and lower specificity for specialised-centre radiologists can be attributed to them being less conservative in interpreting case images.
•When planning for a large scale lung cancer screening program, it is important to evaluate radiologists performance in lung cancer detection.•The radiologists mean Sensitivity was 0.75, Specificity 0.81 and AUC 0.85.•Radiologists in general hospitals perform similar to cancer center radiologists.
Details
- Title: Subtitle
- Radiologist performance in the detection of lung cancer using CT
- Creators
- B Al Mohammad - Department of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, The University of Sydney, Cumberland Campus, 75 East St, Lidcombe, NSW, 2141, AustraliaS.L Hillis - Departments of Radiology and Biostatistics, The University of Iowa, 3170 ML, 200 Hawkins Drive, Iowa City, IA, 52242-1077, USAW Reed - Department of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, The University of Sydney, Cumberland Campus, 75 East St, Lidcombe, NSW, 2141, AustraliaM Alakhras - Department of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, The University of Sydney, Cumberland Campus, 75 East St, Lidcombe, NSW, 2141, AustraliaP C Brennan - Department of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, The University of Sydney, Cumberland Campus, 75 East St, Lidcombe, NSW, 2141, Australia
- Resource Type
- Journal article
- Publication Details
- Clinical radiology, Vol.74(1), pp.67-75
- DOI
- 10.1016/j.crad.2018.10.008
- PMID
- 30470412
- NLM abbreviation
- Clin Radiol
- ISSN
- 0009-9260
- eISSN
- 1365-229X
- Publisher
- Elsevier Ltd
- Language
- English
- Date published
- 01/2019
- Academic Unit
- Radiology; Biostatistics
- Record Identifier
- 9984051887602771
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