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This dataset is a subset of the "QIN multi-site collection of Lung CT data with Nodule Segmentations" (http://doi.org/10.7937/K9/TCIA.2015.1BUVFJR7) created previously. This dataset was used by the NCI's Quantitative Imaging Network (QIN) PET-CT Subgroup as part of their Multi-center Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Datasets project.

Specifically, the same 10 cases selected from the LIDC-IDRI dataset that were used in that previous study were used in this study. As in that previous study, a single lesion from each case was identified for analysis. That previous study generated VOIs using algorithms from three academic institutions and each method performed three repeat runs on each nodule. For this study, and to eliminate one source of variability in our project, one of the VOIs previously created for each lesion was identified and all sites used that same VOI definition. The specific VOI chosen for each lesion was the first run of the first algorithm (algorithm 1, run 1). As in that prior project, both DICOM and NIfTI formats were created for each image dataset and the VOI was provided in each format as well (DICOM Segmentation Object (DSO) as well as NIfTI segmentation boundary).