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Proceedings Paper

Characterization of solid pulmonary nodules using three-dimensional features
Author(s): Artit C. Jirapatnakul; Anthony P. Reeves; Tatiyana V. Apanasovich; Matthew D. Cham; David F. Yankelevitz; Claudia I. Henschke
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Paper Abstract

With the development of high-resolution, multirow-detector CT scanners, the prospects for diagnosing and treating lung cancer at an early stage are much improved. However, it is often difficult to determine whether a nodule, especially a small nodule, is malignant from a single CT scan. We developed a computer-aided diagnostic algorithm to distinguish benign from malignant solid nodules based on features that can be extracted from a single CT scan. Our method uses 3D geometric and densitometric moment analysis of a segmented nodule image and surface curvature from a polygonal surface model of the nodule. After excluding features directly related to size, we computed a total of 28 features. Prior to classification, the number of features was reduced through stepwise feature selection. The features are used by two classifiers, k-nearest-neighbors (k-NN) and logistic regression. We used 48 malignant nodules whose status was determined by biopsy or resection, and 55 benign nodules determined to be clinically stable through two years of no change or biopsy. The k-NN classifier achieved a sensitivity of 0.81 with a specificity of 0.76, while the logistic regression classifier achieved a sensitivity of 0.85 and a specificity of 0.80.

Paper Details

Date Published: 30 March 2007
PDF: 8 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65143E (30 March 2007); doi: 10.1117/12.707814
Show Author Affiliations
Artit C. Jirapatnakul, Cornell Univ. (United States)
Anthony P. Reeves, Cornell Univ. (United States)
Tatiyana V. Apanasovich, Cornell Univ. (United States)
Matthew D. Cham, Weill Medical College of Cornell Univ. (United States)
David F. Yankelevitz, Weill Medical College of Cornell Univ. (United States)
Claudia I. Henschke, Weill Medical College of Cornell Univ. (United States)


Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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