The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics

Anthony P. Reeves; Alberto M. Biancardi; Tatiyana V. Apanasovich; Charles R. Meyer; Heber MacMahon; Edwin J. R. van Beek; Ella A. Kazerooni; David Yankelevitz; Michael F. McNitt-Gray; Geoffrey McLennan; Samuel G. Armato III; Denise R. Aberle M.D.; Claudia I. Henschke; Eric A. Hoffman; Barbara Y. Croft; Laurence P. Clarke

doi:10.1117/12.713672

29 March 2007 The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics

Anthony P. Reeves, Alberto M. Biancardi, Tatiyana V. Apanasovich, Charles R. Meyer, Heber MacMahon, Edwin J. R. van Beek, Ella A. Kazerooni, David Yankelevitz, Michael F. McNitt-Gray, Geoffrey McLennan, Samuel G. Armato III, Denise R. Aberle M.D., Claudia I. Henschke, Eric A. Hoffman, Barbara Y. Croft, Laurence P. Clarke

Author Affiliations +

Proceedings Volume 6514, Medical Imaging 2007: Computer-Aided Diagnosis; 65140J (2007) https://doi.org/10.1117/12.713672
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Size is an important metric for pulmonary nodule characterization. Furthermore, it is an important parameter in measuring the performance of computer aided detection systems since they are always qualified with respect to a given size range of nodules. The first 120 whole-lung CT scans documented by the Lung Image Database Consortium using their protocol for nodule evaluation were used in this study. For documentation, each inspected lesion was reviewed independently by four expert radiologists and, when a lesion was considered to be a nodule larger than 3mm, the radiologist provided boundary markings in each image in which the nodule was contained. Three size metrics were considered: a uni-dimensional and a bi-dimensional measure on a single image slice and a volumetric measurement based on all the image slices. In this study we analyzed the boundary markings of these nodules in the context of these three size metrics to characterize the inter-radiologist variation and to examine the difference between these metrics. A data set of 63 nodules each having four observations was analyzed for inter-observer variation and an extended set of 252 nodules each having at least one observation was analyzed for the difference between the metrics. A very high inter-observer variation was observed for all these metrics and also a very large difference among the metrics was observed.

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Anthony P. Reeves, Alberto M. Biancardi, Tatiyana V. Apanasovich, Charles R. Meyer, Heber MacMahon, Edwin J. R. van Beek, Ella A. Kazerooni, David Yankelevitz, Michael F. McNitt-Gray, Geoffrey McLennan, Samuel G. Armato III, Denise R. Aberle M.D., Claudia I. Henschke, Eric A. Hoffman, Barbara Y. Croft, and Laurence P. Clarke "The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65140J (29 March 2007); https://doi.org/10.1117/12.713672

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