Application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT

Michael F. McNitt-Gray; Eric M. Hart M.D.; Nathaniel Wyckoff; James W. Sayre; Jonathan G. Goldin; Denise R. Aberle

doi:10.1117/12.310850

24 June 1998 Application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT

Michael F. McNitt-Gray, Eric M. Hart M.D., Nathaniel Wyckoff, James W. Sayre, Jonathan G. Goldin, Denise R. Aberle

Author Affiliations +

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310850
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

The purpose of this research is to characterize solitary pulmonary nodules as benign or malignant based on quantitative measures extracted from high resolution CT images. High resolution CT images of 17 patients with solitary pulmonary nodules and definitive diagnoses were obtained. The diagnoses of these 17 cases (11 benign and 6 malignant) were determined from either radiologic follow-up or pathological specimens. On the HRCT images, solitary nodules were identified using semiautomated contouring techniques. From the resulting contours, several quantitative measures are extracted related to the nodule's size, shape, density and texture. A stepwise discriminant analysis was performed to determine which combination of measures are best able to discriminate between the benign and malignant nodules. Using several selected features, a linear discriminant analysis was performed on the 17 cases. The preliminary discriminant analysis identified two different texture measures as the top features in discriminating between benign and malignant nodules. The linear discriminant analysis using these features correctly classified 16/17 cases (94.1%) of the training set. A less biased estimate, using jackknifed training and testing yielded 15/17 cases (88.2%) correctly classified. The preliminary results of this approach are very promising in characterizing solitary nodules using quantitative measures extracted from HRCT images.

Citation Download Citation

Michael F. McNitt-Gray, Eric M. Hart M.D., Nathaniel Wyckoff, James W. Sayre, Jonathan G. Goldin, and Denise R. Aberle "Application of image analysis techniques to distinguish benign from malignant solitary pulmonary nodules imaged on CT", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310850

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available