NSCLC Radiogenomics

License

CC BY 3.0
Creative Commons Attribution 3.0 Unported License

Citation

Paper BibTeX:

@article{bakr2018radiogenomic,
  title={A radiogenomic dataset of non-small cell lung cancer},
  author={Bakr, Shaimaa and Gevaert, Olivier and Echegaray, Sebastian and Ayers, Kelsey and Zhou, Mu and Shafiq, Majid and Zheng, Hong and Benson, Jalen Anthony and Zhang, Weiruo and Leung, Ann NC and others},
  journal={Scientific data},
  volume={5},
  number={1},
  pages={1--9},
  year={2018},
  publisher={Nature Publishing Group}
}

Dataset:

Bakr, S., Gevaert, O., Echegaray, S., Ayers, K., Zhou, M., Shafiq, M., Zheng, H., Zhang, W., Leung, A., Kadoch, M., Shrager, J., Quon, A., Rubin, D., Plevritis, S., & Napel, S. (2017). Data for NSCLC Radiogenomics (Version 4) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2017.7hs46erv

Dataset description

This dataset contains imaging, genomic, and clinical data for 211 patients with non-small cell lung cancer. It includes CT and PET/CT scans, tumor annotations, segmentation maps, and matched genomic profiles to support research in radiogenomics and prognostic biomarker discovery.

Number of CT volumes: 131

Contrast: -

CT body coverage: Chest

Does the dataset include any ground truth annotations?: Yes

Original GT annotation targets: Lung tumors

Number of annotated CT volumes:

Annotator: Human

Acquisition centers: Stanford University Medical Center and Palo Alto Veterans Affairs Healthcare System

Pathology/Disease: Non-small cell lung cancer, with detailed imaging of lung tumors

Original dataset download link: https://www.cancerimagingarchive.net/collection/nsclc-radiogenomics/

Original dataset format: DICOM