Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database

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Date
2015-10-06
Authors
Jacobs, Colin
van Rikxoort, Eva M.
Murphy, Keelin
Prokop, Mathias
Schaefer-Prokop, Cornelia M.
van Ginneken, Bram
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Publisher
Springer Berlin Heidelberg
Published Version
10.1007/s00330-015-4030-7
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Abstract
Objectives: To benchmark the performance of state-of-the-art computer-aided detection (CAD) of pulmonary nodules using the largest publicly available annotated CT database (LIDC/IDRI), and to show that CAD finds lesions not identified by the LIDC’s four-fold double reading process. Methods: The LIDC/IDRI database contains 888 thoracic CT scans with a section thickness of 2.5 mm or lower. We report performance of two commercial and one academic CAD system. The influence of presence of contrast, section thickness, and reconstruction kernel on CAD performance was assessed. Four radiologists independently analyzed the false positive CAD marks of the best CAD system. Results: The updated commercial CAD system showed the best performance with a sensitivity of 82 % at an average of 3.1 false positive detections per scan. Forty-five false positive CAD marks were scored as nodules by all four radiologists in our study. Conclusions: On the largest publicly available reference database for lung nodule detection in chest CT, the updated commercial CAD system locates the vast majority of pulmonary nodules at a low false positive rate. Potential for CAD is substantiated by the fact that it identifies pulmonary nodules that were not marked during the extensive four-fold LIDC annotation process.
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Keywords
Computer-assisted diagnosis , Image interpretation , Computer-assisted , Lung cancer , Solitary pulmonary nodule , Lung
Citation
Jacobs, C., van Rikxoort, E. M., Murphy, K., Prokop, M., Schaefer-Prokop, C. M. and van Ginneken, B. (2016) 'Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database', European Radiology, 26(7), pp. 2139-2147. doi: 10.1007/s00330-015-4030-7
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https://hdl.handle.net/10468/9248
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INFANT Research Centre - Journal Articles
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© 2915, The Author(s). This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.