Identification of asymmetric pulmonary nodule growth using a moment-based algorithm

Artit C. Jirapatnakul, Anthony P. Reeves, Alberto M. Biancardi, David F. Yankelevitz, Claudia I. Hensehke

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


The growth rate of pulmonary nodules has been shown to be an indicator of malignancy, and previous work on pulmonary nodule characterization has suggested that the asymmetry of a nodule's shape may be correlated with malignancy. We have also observed that measurements in the axial direction on CT scans are less repcatable than measurements in-plane and this should be considered when making lesion size-change measurements. To address this, we present a method to measure the asymmetry of a pulmonary nodule's growth by the use of second-order central moments that arc insensitive to z-dircction variation. The difference in the moment ratios on each scan is used as a measure of the asymmetry of growth. To establish what level of difference is significant, the 95% confidence interval of the differences was determined on a zero-change dataset of 22 solid pulmonary nodules with repeat scans in the same session. This method was applied to a set of 47 solid, stable pulmonary nodules and a set of 49 solid, malignant nodules. The confidence interval established from the zero-change dataset was (-0.45, 0.38); nodules with differences outside this confidence interval arc considered to have asymmetric growth. Of the 47 stable nodules, 12.8% (6/47) were found to have asymmetric growth compared to 24.5% (12/49) of malignant nodules. These preliminary results suggest that nodules with asymmetric growth can be identified.

Original languageEnglish
Title of host publicationMedical Imaging 2009
Subtitle of host publicationComputer-Aided Diagnosis
StatePublished - 2009
Externally publishedYes
EventMedical Imaging 2009: Computer-Aided Diagnosis - Lake Buena Vista, FL, United States
Duration: 10 Feb 200912 Feb 2009

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceMedical Imaging 2009: Computer-Aided Diagnosis
Country/TerritoryUnited States
CityLake Buena Vista, FL


  • Asymmetric growth
  • Computed tomography
  • Lung cancer
  • Moment analysis
  • Pulmonary nodule
  • Zero-change


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