radiogenomics/lung_sarg_nsclc_radiogenomics

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license: mit
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# Lung-SARG nsclc_radiogenomics collection

[Lung-SARG](https://github.com/open-radiogenomics/lung-sarg) is a fully open-source and local-first platform
that improves how communities collaborate on open data to diagnose lung cancer and perform epidemiology
on local populations in low and middle income countries.

## NSCLC Radiogenomics

Source: https://www.cancerimagingarchive.net/collection/nsclc-radiogenomics/

> Medical image biomarkers of cancer promise improvements in patient care through advances in precision medicine. Compared to genomic biomarkers, image biomarkers provide the advantages of being a non-invasive procedure, and characterizing a heterogeneous tumor in its entirety, as opposed to limited tissue available for biopsy. We developed a unique radiogenomic dataset from a Non-Small Cell Lung Cancer (NSCLC) cohort of 211 subjects. The dataset comprises Computed Tomography (CT), Positron Emission Tomography (PET)/CT images, semantic annotations of the tumors as observed on the medical images using a controlled vocabulary, segmentation maps of tumors in the CT scans, and quantitative values obtained from the PET/CT scans. Imaging data are also paired with gene mutation, RNA sequencing data from samples of surgically excised tumor tissue, and clinical data, including survival outcomes. This dataset was created to facilitate the discovery of the underlying relationship between genomic and medical image features, as well as the development and evaluation of prognostic medical image biomarkers.

> Further details regarding this data-set may be found in Bakr, et. al, Sci Data. 2018 Oct 16;5:180202. doi: 10.1038/sdata.2018.202, https://www.ncbi.nlm.nih.gov/pubmed/30325352.

If you use this data, please cite:

> 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

许可证：MIT许可证

# Lung-SARG 非小细胞肺癌放射基因组学数据集集合

[Lung-SARG](https://github.com/open-radiogenomics/lung-sarg) 是一个完全开源且支持本地优先部署的平台，旨在优化社区协作开展开源数据研究的模式，以助力肺癌诊断以及针对中低收入国家本地人群开展流行病学调查。

## 非小细胞肺癌（NSCLC）放射基因组学

数据集来源：https://www.cancerimagingarchive.net/collection/nsclc-radiogenomics/

> 癌症的医学影像生物标志物有望通过精准医学的进步改善患者诊疗效果。与基因组生物标志物相比，影像生物标志物具备无创检测的优势，且可完整表征异质性肿瘤，相较之下活检可获取的组织样本十分有限。我们针对211名非小细胞肺癌（NSCLC）受试者队列构建了独特的放射基因组学数据集。该数据集包含计算机断层扫描（CT）、正电子发射断层扫描（PET）/CT影像，基于受控词汇表对医学影像中观测到的肿瘤进行语义标注，CT扫描中的肿瘤分割图谱，以及从PET/CT扫描中提取的定量参数。影像数据还与手术切除肿瘤组织样本的基因突变、RNA测序数据，以及包含生存结局在内的临床数据完成配对。本数据集旨在助力探索基因组特征与医学影像特征间的内在关联，同时支持预后性医学影像生物标志物的开发与评估。

> 有关本数据集的更多细节可参阅Bakr等人发表于《科学数据（Sci Data）》2018年10月16日，第5卷，180202页的研究，DOI：10.1038/sdata.2018.202，链接：https://www.ncbi.nlm.nih.gov/pubmed/30325352。

若使用本数据集，请引用以下文献：

> 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). 非小细胞肺癌放射基因组学数据集（版本4）[数据集]. 癌症影像档案库. https://doi.org/10.7937/K9/TCIA.2017.7hs46erv