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Anti-PD-1_Lung | Anti-PD-1 Immunotherapy Lung
DOI: 10.7937/tcia.2019.zjjwb9ip | Data Citation Required | Image Collection
| Location | Species | Subjects | Data Types | Cancer Types | Size | Status | Updated |
|---|---|---|---|---|---|---|---|
| Lung | Human | 46 | CT, SC, PT | Lung Cancer | Public, Complete | 2019/04/19 |
Summary
This collection includes 46 lung cases treated with anti-PD1 immunotherapy in 2016, each with pre-treatment and most with 1 imaging follow-up timepoint.
Data Access
Version 1: Updated 2019/04/19
| Title | Data Type | Format | Access Points | Subjects | License | |||
|---|---|---|---|---|---|---|---|---|
| Images | CT, SC, PT | DICOM | Download requires NBIA Data Retriever |
46 | 86 | 677 | 134,465 | CC BY 3.0 |
Additional Resources for this Dataset
The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.
- Imaging Data Commons (IDC) (Imaging Data)
- IDC Zenodo community dataset Image segmentations produced by BAMF under the AIMI Annotations initiative
Citations & Data Usage Policy
Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:
Data Citation |
|
|
Madhavi, P., Patel, S., & Tsao, A. S. (2019). Data from Anti-PD-1 Immunotherapy Lung [Data set]. The Cancer Imaging Archive. DOI: 10.7937/tcia.2019.zjjwb9ip |
Related Publications
Publications by the Dataset Authors
The authors recommended this paper as the best source of additional information about this dataset:
No publications by dataset authors were found.
Research Community Publications
TCIA maintains a list of publications which leverage our data. If you have a publication you’d like to add please contact TCIA’s Helpdesk.
- Kosareva, A. A., Paulenka, D. A., Snezhko, E. V., Bratchenko, I. A., & Kovalev, V. A. (2022). Examining the Validity of Input Lung CT Images Submitted to the AI-Based Computerized Diagnosis. Journal of Biomedical Photonics & Engineering, 8(3). doi: https://doi.org/10.18287/JBPE22.08.030307
- Leitner, B. P., & Perry, R. J. (2020). The Impact of Obesity on Tumor Glucose Uptake in Breast and Lung Cancer. JNCI Cancer Spectrum. doi:10.1093/jncics/pkaa007
- Sinthia, P., Malathi, M., K, A., & Suresh Anand, M. (2022). Improving lung cancer detection using faster region‐based convolutional neural network aided with fuzzy butterfly optimization algorithm. Concurrency and Computation: Practice and Experience. doi:https://doi.org/10.1002/cpe.7251
- Trebeschi, S., Bodalal, Z., van Dijk, N., Boellaard, T. N., Apfaltrer, P., Tareco Bucho, T. M., . . . Beets-Tan, R. G. H. (2021). Development of a Prognostic AI-Monitor for Metastatic Urothelial Cancer Patients Receiving Immunotherapy. Front Oncol, 11, 637804. doi:10.3389/fonc.2021.637804