B Al Mohammad1, S L Hillis2, W Reed3, M Alakhras3, P C Brennan3. 1. Department of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, The University of Sydney, Cumberland Campus, 75 East St, Lidcombe, NSW, 2141, Australia. Electronic address: baal8200@uni.sydney.edu.au. 2. Departments of Radiology and Biostatistics, The University of Iowa, 3170 ML, 200 Hawkins Drive, Iowa City, IA, 52242-1077, USA. 3. Department of Medical Imaging and Radiation Sciences, Faculty of Health Sciences, The University of Sydney, Cumberland Campus, 75 East St, Lidcombe, NSW, 2141, Australia.
Abstract
AIM: To measure the level of radiologists' performance in lung cancer detection, and to explore radiologists' performance in cancer specialised and non-specialised centres. MATERIALS AND METHODS: 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. RESULTS: 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). CONCLUSION: 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.
AIM: To measure the level of radiologists' performance in lung cancer detection, and to explore radiologists' performance in cancer specialised and non-specialised centres. MATERIALS AND METHODS: 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. RESULTS: 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). CONCLUSION: 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.
Authors: Hao Gong; Jeffrey F Marsh; Jamison Thorne; Shuai Leng; Cynthia H McCollough; Joel G Fletcher; Lifeng Yu Journal: Proc SPIE Int Soc Opt Eng Date: 2021-02-15
Authors: Erich Sorantin; Michael G Grasser; Ariane Hemmelmayr; Sebastian Tschauner; Franko Hrzic; Veronika Weiss; Jana Lacekova; Andreas Holzinger Journal: Pediatr Radiol Date: 2021-10-19