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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy Tcia limited license policy |
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| Pedano, N., Flanders, A. E., Scarpace, L., Mikkelsen, T., Eschbacher, J. M., Hermes, B., Sisneros, V., Barnholtz-Sloan, J., & Ostrom, Q. (2016). The Cancer Genome Atlas Low Grade Glioma Collection (TCGA-LGG) (Version 3) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2016.L4LTD3TK |
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| "The results <published or shown> here are in whole or part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/." |
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| Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 |
Other Publications Using This DataTCIA maintains a list of publications which leverage our data. - Buda, Mateusz et al. "Association of Genomic Subtypes of Lower-Grade Gliomas with Shape Features Automatically Extracted by a Deep Learning Algorithm." Computers in Biology and Medicine, vol. 109, 2019, pp. 218-225, doi:10.1016/j.compbiomed.2019.05.002.
- Chang, Ken et al. "Residual Convolutional Neural Network for the Determination of Idh Status in Low-and High-Grade Gliomas from Mr Imaging." Clinical Cancer Research, vol. 24, no. 5, 2018, pp. 1073-1081, doi:10.1158/1078-0432.CCR-17-2236.
- Chang, Ken et al. "Automatic Assessment of Glioma Burden: A Deep Learning Algorithm for Fully Automated Volumetric and Bi-Dimensional Measurement." Neuro Oncol, 2019, doi:10.1093/neuonc/noz106.
- Chang, P et al. "Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas." American Journal of Neuroradiology, 2018, pp. 1-7, doi:10.3174/ajnr.A5667.
- Halani, Sameer H et al. "Multi-Faceted Computational Assessment of Risk and Progression in Oligodendroglioma Implicates Notch and Pi3k Pathways." NPJ precision oncology, vol. 2, no. 1, 2018, p. 24, doi:10.1038/s41698-018-0067-9 .
- Hsieh, Kevin Li-Chun et al. "Computer-Aided Grading of Gliomas Based on Local and Global Mri Features." Computer Methods and Programs in Biomedicine, vol. 139, 2016, pp. 31-38.
- Hu, Kai et al. "Brain Tumor Segmentation Using Multi-Cascaded Convolutional Neural Networks and Conditional Random Field." IEEE Access, vol. 7, 2019, pp. 92615-92629, doi:10.1109/access.2019.2927433.
- Iqbal, Sajid et al. "Brain Tumor Segmentation in Multi‐Spectral Mri Using Convolutional Neural Networks (Cnn)." Microscopy research and technique, vol. 81, no. 4, 2018, pp. 419-427, doi:doi.org/10.1002/jemt.22994.
Jiang, Chendan et al. "Fusion Radiomics Features from Conventional Mri Predict Mgmt Promoter Methylation Status in Lower Grade Gliomas." Eur J Radiol, vol. 121, 2019, p. 108714, doi:10.1016/j.ejrad.2019.108714. - Juratli, Tareq A et al. "Radiographic Assessment of Contrast Enhancement and T2/Flair Mismatch Sign in Lower Grade Gliomas: Correlation with Molecular Groups." Journal of Neuro-Oncology, 2018, pp. 1-9, doi:10.1007/s11060-018-03034-6.
- Lambrecht, Joren. "Textural Analysis of Tumour Imaging: A Radiomics Approach." Electronics and Information Systems, vol. MS in Biomedical Engineering, Ghent University, 2017, p. 108. general editor, Prof. dr. Roel Van Holen, (Link to Thesis)
- Lehrer, Michael et al. "Multiple-Response Regression Analysis Links Magnetic Resonance Imaging Features to De-Regulated Protein Expression and Pathway Activity in Lower Grade Glioma." Oncoscience, vol. 4, no. 5-6, 2017, p. 57.
- Li, Y. et al. "Genotype Prediction of Atrx Mutation in Lower-Grade Gliomas Using an Mri Radiomics Signature." Eur Radiol, 2018, doi:10.1007/s00330-017-5267-0.
- Liu, Z., Zhang, T., Jiang, H., Xu, W., & Zhang, J. (2018). "Conventional MR-based preoperative nomograms for prediction of IDH/1p19q subtype in low-grade glioma" Academic Radiology. DOI: 10.1016/j.acra.2018.09.022
- Lu, Chia-Feng et al. "Machine Learning-Based Radiomics for Molecular Subtyping of Gliomas." Clinical Cancer Research, 2018, p. clincanres. 3445.2017, doi:10.1158/1078-0432.CCR-17-3445.
- Mazurowski, Maciej A et al. "Radiogenomics of Lower-Grade Glioma: Algorithmically-Assessed Tumor Shape Is Associated with Tumor Genomic Subtypes and Patient Outcomes in a Multi-Institutional Study with the Cancer Genome Atlas Data." Journal of Neuro-Oncology, 2017, pp. 1-9.
- Nakamoto, Takahiro et al. "Prediction of Malignant Glioma Grades Using Contrast-Enhanced T1-Weighted and T2-Weighted Magnetic Resonance Images Based on a Radiomic Analysis." Sci Rep, vol. 9, no. 1, 2019, p. 19411, doi:10.1038/s41598-019-55922-0.
- Patel, Sohil H et al. "Mri and Ct Identify Isocitrate Dehydrogenase (Idh)-Mutant Lower-Grade Gliomas Misclassified to 1p/19q Codeletion Status with Fluorescence in Situ Hybridization." Radiology, vol. 294, no. 1, 2020, pp. 160-167, doi:10.1148/radiol.2019191140.
- Rezaei, Mina et al. "Conditional Generative Adversarial Refinement Networks for Unbalanced Medical Image Semantic Segmentation." 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, 2019, pp. 1836-1845. doi:10.1109/WACV.2019.00200.
- Zeng, Ke et al. "Segmentation of Gliomas in Pre-Operative and Post-Operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework." International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Springer, 2016, pp. 184-194.
- Zhou, Hao et al. "Mri Features Predict Survival and Molecular Markers in Diffuse Lower-Grade Gliomas." Neuro-Oncology, vol. 19, no. 6, 2017, pp. 862-870.
If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
Localtab |
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| Version 3 (Current): Updated 2020/05/29
Data Type | Download all or Query/Filter |
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Images (DICOM, 42.8GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/5309188/TCIA_TCGA-LGG_09-16-2015.tcia?version=1&modificationDate=1534786960462&api=v2 |
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label | Search |
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url | https://www.cancerimagingarchive.net/nbia-search/?CollectionCriteria=TCGA-LGG |
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(Download requires the NBIA Data Retriever) | Tissue Slide Images (web) |
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label | Search |
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url | https://portal.gdc.cancer.gov/image-viewer?filters=%7B%22op%22%3A%22and%22%2C%22content%22%3A%5B%7B%22content%22%3A%7B%22field%22%3A%22cases.case_id%22%2C%22value%22%3A%5B%22set_id%3AYEEmK4gB-Ny-1EyOwW07%22%5D%7D%2C%22op%22%3A%22IN%22%7D%2C%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22cases.project.project_id%22%2C%22value%22%3A%5B%22TCGA-LGG%22%5D%7D%7D%2C%7B%22op%22%3A%22in%22%2C%22content%22%3A%7B%22field%22%3A%22files.data_type%22%2C%22value%22%3A%5B%22Slide%20Image%22%5D%7D%7D%5D%7D |
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| Clinical Data (TXT) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/5309188/gdc_download_clinical_lgg.tar.gz?version=1&modificationDate=1590772985546&api=v2 |
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| Biomedical Data (TXT) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/5309188/gdc_download_biomedical_lgg.tar.gz?version=1&modificationDate=1590772972896&api=v2 |
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| Genomics (web) |
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label | Search |
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url | https://portal.gdc.cancer.gov/projects/TCGA-LGG |
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Updated clinical data link with latest spreadsheets from GDC. Added new biomedical spreadsheets from GDC. Version 2: Updated 2016/01/05
Data Type | Download all or Query/Filter |
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Images (DICOM, 42.8GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/5309188/TCIA_TCGA-LGG_09-16-2015.tcia?version=1&modificationDate=1534786960462&api=v2 |
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(Download requires the NBIA Data Retriever) | Clinical Data (TXT) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/5309188/TCGA-LGG%20Clinical%20Data%201516.zip?version=1&modificationDate=1452102827568&api=v2 |
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| Genomics (web) |
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label | Search |
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url | https://portal.gdc.cancer.gov/projects/TCGA-LGG |
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Extracted latest release of clinical data (TXT) from the GDC Data Portal. Version 1: Updated 2014/09/04
Data Type | Download all or Query/Filter |
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Images (DICOM, 42.8GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/5309188/TCIA_TCGA-LGG_09-16-2015.tcia?version=1&modificationDate=1534786960462&api=v2 |
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(Download requires the NBIA Data Retriever) | Clinical Data (TXT) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/5309188/TCGA-LGG%20Clinical%20Data.zip?version=1&modificationDate=1415214839939&api=v2 |
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| Genomics (web) |
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label | Search |
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url | https://portal.gdc.cancer.gov/projects/TCGA-LGG |
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