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NCI CDAS: NLST and PLCO screening trial data
NCI CDAS holds the lung screening trial images that trained Sybil and most lung-nodule AI.
Overview
NCI CDAS holds the lung screening trial images that trained Sybil and most lung-nodule AI. The collection includes low-dose CT images and outcomes from the National Lung Screening Trial, which enrolled 53,000 smokers, together with PLCO screening data, available to approved researchers through a data access request. The NLST CT archive has become the standard resource for building lung cancer risk models. It is maintained by the NCI, is linked to the National Cancer Institute (NIH) and to the technology Sybil (MIT/MGH lung cancer risk from CT), and is referenced by the paper on the NLST result that yearly low-dose CT scans cut lung cancer deaths in heavy smokers.
Holds
Low-dose CT images and outcomes from the National Lung Screening Trial, and PLCO screening data, available to approved researchers.
Licence
Data access request
Maintainer
NCI
Dataset registry
Size: NLST: 53,000 participants with low-dose CT; PLCO screening data
Access: controlled
Consent and reuse: Data access request to NCI CDAS.
All datasets and the models trained on them →Similar pages
- CollectionNCI Imaging Data Commons (IDC)
Shares National Cancer Institute (NIH) and the tag data.
- CollectionThe Cancer Imaging Archive (TCIA)
Shares National Cancer Institute (NIH) and the tag data.
- Key paperScreening by chest radiograph and lung cancer mortality: the Prostate, Lung, Colorectal, and Ovarian (PLCO) randomized trial
Shares NLST: yearly low-dose CT scans cut lung cancer deaths in heavy smokers, National Cancer Institute (NIH).
- TrialNLST & NELSON (low-dose CT screening)
Shares NLST: yearly low-dose CT scans cut lung cancer deaths in heavy smokers, National Cancer Institute (NIH).