Agreement of CAD features with expert observer ratings for characterization of pulmonary nodules in CT using the LIDC-IDRI database

Rafael Wiemker; Martin Bergtholdt; Ekta Dharaiya; Sven Kabus; Michael C. Lee

doi:10.1117/12.811569

27 February 2009 Agreement of CAD features with expert observer ratings for characterization of pulmonary nodules in CT using the LIDC-IDRI database

Rafael Wiemker, Martin Bergtholdt, Ekta Dharaiya, Sven Kabus, Michael C. Lee

Author Affiliations +

Proceedings Volume 7260, Medical Imaging 2009: Computer-Aided Diagnosis; 72600H (2009) https://doi.org/10.1117/12.811569
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

We have analyzed 3000 nodule delineations and malignancy ratings of pulmonary nodules made by expert observers in the IDRI CT lung image database. The agreement between nodule volume from automatic segmentation and expert delineations is almost as high as inter-observer agreement. For the experts' malignancy rating the inter-observer agreement is quite modest. Linear and support vector regression models have been tested to emulate the expert malignancy rating from a small number of automatically computed numerical image features. Machine-observer and inter-observer agreement have been evaluated using linear correlation and weighted kappa coefficient. The results suggest that the numerical computed malignancy - if considered as an additional observer - cannot be distinguished from the expert ratings.

Citation Download Citation

Rafael Wiemker, Martin Bergtholdt, Ekta Dharaiya, Sven Kabus, and Michael C. Lee "Agreement of CAD features with expert observer ratings for characterization of pulmonary nodules in CT using the LIDC-IDRI database", Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72600H (27 February 2009); https://doi.org/10.1117/12.811569

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