RIDER Lung CT

License

CC BY 4.0
Creative Commons Attribution 4.0 International License

Citation

Paper BibTeX:

@article{zhao2009evaluating,
  title={Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non--small cell lung cancer},
  author={Zhao, Binsheng and James, Leonard P and Moskowitz, Chaya S and Guo, Pingzhen and Ginsberg, Michelle S and Lefkowitz, Robert A and Qin, Yilin and Riely, Gregory J and Kris, Mark G and Schwartz, Lawrence H},
  journal={Radiology},
  volume={252},
  number={1},
  pages={263--272},
  year={2009},
  publisher={Radiological Society of North America, Inc.}
}

Dataset:

Zhao, B., Schwartz, L. H., Kris, M. G., & Riely, G. J. (2015). Coffee-break lung CT collection with scan images reconstructed at multiple imaging parameters (Version 3) [Dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/k9/tcia.2015.u1x8a5nr

Dataset description

This dataset contains same-day repeat CT scans of 32 non–small cell lung cancer patients, each reconstructed at six imaging settings varying in slice thickness and reconstruction kernel. Radiologist-annotated lesion contours are included as reference standards, enabling evaluation of quantitative imaging biomarkers across different reconstruction parameters.

Number of CT volumes: 59

Contrast: Unenhanced

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: Memorial Sloan-Kettering Cancer Center, New York

Pathology/Disease: Non–small cell lung cancer with measurable primary or metastatic lesions

Original dataset download link: https://www.cancerimagingarchive.net/collection/rider-lung-ct/

Original dataset format: DICOM