DICOM converted Slide Microscopy images for the NLST collection

This dataset corresponds to a collection of images and/or image-derived data available from National Cancer Institute Imaging Data Commons (IDC) [1]. This dataset was converted into DICOM representation and ingested by the IDC team. You can explore and visualize the corresponding images using IDC Portal here: NLST. You can use the manifests included in this Zenodo record to download the content of the collection following the Download instructions below. Collection description This collection contains Slide Microscopy images from the National Lung Screening Trial (NLST), which was conducted to determine whether screening with low-dose CT could reduce mortality from lung cancer for persons at high risk for lung cancer at 33 U.S. medical centers. Participants were randomly assigned to undergo three annual screenings between 2002-2004. Please see the NLST wiki page to learn more about the original images and to obtain any supporting metadata for this collection. Files included A manifest file's name indicates the IDC data release in which a version of collection data was first introduced. For example, collection_id-idc_v8-aws.s5cmd corresponds to the contents of the collection_id collection introduced in IDC data release v8. If there is a subsequent version of this Zenodo page, it will indicate when a subsequent version of the corresponding collection was introduced. nlst-idc_v10-aws.s5cmd: manifest of files available for download from public IDC Amazon Web Services buckets nlst-idc_v10-gcs.s5cmd: manifest of files available for download from public IDC Google Cloud Storage buckets nlst-idc_v10-dcf.dcf: Gen3 manifest (for details see https://learn.canceridc.dev/data/organization-of-data/guids-and-uuids) Note that manifest files that end in -aws.s5cmd reference files stored in Amazon Web Services (AWS) buckets, while -gcs.s5cmd reference files in Google Cloud Storage. The actual files are identical and are mirrored between AWS and GCP. Download instructions Each of the manifests include instructions in the header on how to download the included files. To download the files using .s5cmd manifests: install idc-index package: pip install --upgrade idc-index download the files referenced by manifests included in this dataset by passing the .s5cmd manifest file: idc download manifest.s5cmd. To download the files using .dcf manifest, see manifest header. Acknowledgments Imaging Data Commons team has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under Task Order No. HHSN26110071 under Contract No. HHSN261201500003l. References [1] Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S. D., Gibbs, D. L., Bridge, C., Herrmann, M. D., Homeyer, A., Lewis, R., Aerts, H. J. W., Krishnaswamy, D., Thiriveedhi, V. K., Ciausu, C., Schacherer, D. P., Bontempi, D., Pihl, T., Wagner, U., Farahani, K., Kim, E. & Kikinis, R. National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence. RadioGraphics (2023). https://doi.org/10.1148/rg.230180本数据集收录了可从美国国家癌症研究所成像数据共享库（National Cancer Institute Imaging Data Commons, IDC）[1]获取的图像及/或图像衍生数据。本数据集已被转换为DICOM格式，并由IDC团队完成数据摄入。您可通过IDC门户的NLST页面探索并可视化对应图像。您可遵循下述下载说明，使用本Zenodo记录中包含的清单文件下载该数据集的全部内容。 数据集概述 本数据集包含来自国家肺癌筛查试验（National Lung Screening Trial, NLST）的玻片显微图像。该试验于美国33家医疗中心开展，旨在评估低剂量CT筛查能否降低肺癌高危人群的肺癌死亡率。受试者于2002至2004年间被随机分配接受为期三年的年度筛查。 请参阅NLST维基页面以了解原始图像的更多细节，并获取本数据集的相关辅助元数据。 包含文件 清单文件名可指示该数据集版本首次纳入的IDC数据发布版本。例如，collection_id-idc_v8-aws.s5cmd对应于IDC数据发布v8中首次引入的collection_id数据集的内容。若本Zenodo记录后续更新版本，将一并标注对应数据集新版本的引入时间。 nlst-idc_v10-aws.s5cmd：可从IDC公开亚马逊云服务（Amazon Web Services, AWS）存储桶下载的文件清单 nlst-idc_v10-gcs.s5cmd：可从IDC公开谷歌云存储（Google Cloud Storage, GCS）存储桶下载的文件清单 nlst-idc_v10-dcf.dcf：Gen3格式清单（详情请参阅https://learn.canceridc.dev/data/organization-of-data/guids-and-uuids） 请注意，以-aws.s5cmd结尾的清单文件对应存储于AWS存储桶中的文件，而以-gcs.s5cmd结尾的清单文件则对应谷歌云存储中的文件。所有实际文件内容完全一致，且在AWS与谷歌云平台（GCP）间实现镜像同步。 下载说明 所有清单文件的头部均包含对应包含文件的下载方法。 使用.s5cmd格式清单下载文件： 1. 安装idc-index工具包：执行命令 pip install --upgrade idc-index 2. 通过指定.s5cmd格式清单文件，下载本数据集中清单引用的所有文件：执行命令 idc download manifest.s5cmd 使用.dcf格式清单下载文件，请参阅对应清单文件头部的说明。 致谢 成像数据共享库团队的研究经费全部或部分来源于美国国立卫生研究院下属国家癌症研究所的联邦拨款，项目任务订单号为HHSN26110071，合同编号为HHSN261201500003l。 参考文献 [1] Fedorov, A., Longabaugh, W. J. R., Pot, D., Clunie, D. A., Pieper, S. D., Gibbs, D. L., Bridge, C., Herrmann, M. D., Homeyer, A., Lewis, R., Aerts, H. J. W., Krishnaswamy, D., Thiriveedhi, V. K., Ciausu, C., Schacherer, D. P., Bontempi, D., Pihl, T., Wagner, U., Farahani, K., Kim, E. & Kikinis, R. 美国国家癌症研究所成像数据共享库：迈向影像人工智能的透明化、可复现性与规模化. RadioGraphics, 2023. https://doi.org/10.1148/rg.230180