Annotations for The Clinical Proteomic Tumor Analysis Consortium Pancreatic Ductal Adenocarcinoma Collection

This dataset contains image annotations derived from "<a href="https://doi.org/10.7937/K9/TCIA.2018.SC20FO18">The Clinical Proteomic Tumor Analysis Consortium Pancreatic Ductal Adenocarcinoma Collection (CPTAC-PDA)</a>”.  This dataset was generated as part of a National Cancer Institute project to augment images from The Cancer Imaging Archive with tumor annotations that will improve their value for cancer researchers and artificial intelligence experts.<h3><strong>Annotation Protocol</strong></h3>For each patient, all scans were reviewed to identify and annotate the clinically relevant time points and sequences/series. Scans were initially annotated by an international team of radiologists holding MBBS degrees or higher, which were then reviewed by US-based board-certified radiologists to ensure accuracy. In a typical patient all available time points were annotated. The following annotation rules were followed:<ol><li>PERCIST criteria was followed for PET imaging. Specifically, the lesions estimated to have the most elevated SUVmax were annotated.</li><li>RECIST 1.1 was otherwise generally followed for MR and CT imaging. A maximum of 5 lesions were annotated per patient scan (timepoint); no more than 2 per organ. The same 5 lesions were annotated at each time point. Lymph nodes were annotated if >1 cm in short axis. Other lesions were annotated if >1 cm. If the primary lesion measures < 1 cm, it was still annotated.</li><li>Three-dimensional segmentations of lesions were created in the axial plane. If no axial plane was available, lesions were annotated in the coronal plane.</li><li>MRIs were annotated using axial T1-weighted post contrast sequences that best demonstrated the tumor.</li><li>CTs were annotated using all axial post contrast series. If not available, the axial non-contrast series were annotated.</li><li>PET/CTs were annotated on the CT and attenuation corrected PET images, unless there was a diagnostic CT from the same time point, in which case the CT portion of the PET/CT was not annotated.</li><li>Lesions were labeled separately.</li><li>Seed points were automatically generated, but reviewed by a radiologist.</li><li>A “negative” annotation was created for any exam without findings.</li></ol>At each time point:<ol><li>Volume calculations were performed for each segmented structure.  These calculations are provided in the Annotation Metadata CSV.</li><li>A seed point (kernel) was created for each segmented structure. The seed points for each segmentation are provided in a separate DICOM RTSTRUCT file.</li><li>SNOMED-CT “Anatomic Region Sequence” and “Segmented Property Category Code Sequence” and codes were inserted for all segmented structures.</li><li>Imaging time point codes were inserted to help identify each annotation in the context of the clinical trial assessment protocol.<ol><li>“Clinical Trial Time Point ID” was used to encode time point type using one of the following strings as applicable: “pre-dose” or “post-chemotherapy”.</li><li>Content Item in “Acquisition Context Sequence” was added containing "Time Point Type" using Concept Code Sequence (0040,A168) selected from:<ol><li>(255235001, SCT, “Pre-dose”)</li><li>(719864002, SCT, "Post-cancer treatment monitoring")</li></ol></li></ol></li></ol><h3>Important supplementary information and sample code</h3><ol><li>A spreadsheet containing key details about the annotations is available in the <strong>Data Access</strong> section below.</li><li>A Jupyter notebook demonstrating how to use the <a href="https://wiki.cancerimagingarchive.net/display/NBIA/NBIA+Data+Retriever+Command-Line+Interface+Guide">NBIA Data Retriever Command-Line Interface</a> application and the <a href="https://wiki.cancerimagingarchive.net/display/Public/NBIA+Search+REST+API+Guide">REST API</a> to access these data can be found in the <strong>Additional Resources</strong> section below.</li></ol>

本数据集包含由《临床蛋白质组肿瘤分析联盟胰腺导管腺癌集合》（CPTAC-PDA）衍生的图像标注信息，该集合可通过以下链接访问：<a href="https://doi.org/10.7937/K9/TCIA.2018.SC20FO18">The Clinical Proteomic Tumor Analysis Consortium Pancreatic Ductal Adenocarcinoma Collection (CPTAC-PDA)</a>。该数据集的生成是国家癌症研究所项目的一部分，旨在通过向《癌症成像档案》中的图像添加肿瘤标注来增强其价值，以服务于癌症研究人员和人工智能专家。标注协议如下：对每位患者的所有扫描图像进行审查，以识别和标注临床相关的时点及序列/系列。首先由持有MBBS学位或更高学位的国际放射学团队进行标注，随后由美国认证的放射学专家进行复核以确保准确性。在典型患者中，所有可用的时点均进行了标注。遵循以下标注规则：