Quantitative Computed Tomography Classification of Lung Nodules: Initial Comparison of 2- and 3-Dimensional Analysis.

@article{Gierada2016QuantitativeCT,
  title={Quantitative Computed Tomography Classification of Lung Nodules: Initial Comparison of 2- and 3-Dimensional Analysis.},
  author={David S. Gierada and David G. Politte and Jie Zheng and Kenneth B. Schechtman and Bruce R. Whiting and Kirk E. Smith and Traves D. Crabtree and Daniel Kreisel and Alexander S Krupnick and G. Alexander Patterson and Varun Puri and Bryan F. Meyers},
  journal={Journal of computer assisted tomography},
  year={2016},
  volume={40 4},
  pages={589-95}
}
OBJECTIVE The aim of this study was to compare the performance of 2- (2D) and 3-dimensional (3D) quantitative computed tomography (CT) methods for classifying lung nodules as lung cancer, metastases, or benign. METHODS Using semiautomated software and computerized analysis, we analyzed more than 50 quantitative CT features of 96 solid nodules in 94 patients, in 2D from a single slice and in 3D from the entire nodule volume. Multivariable logistic regression was used to classify nodule types… CONTINUE READING