The‌ ‌Cancer‌ ‌Imaging‌ ‌Archive‌ ‌Updates:‌ January 2022

[Kirby, Justin (NIH/NCI) [C]]

The Cancer Imaging Archive Updates : January 2023 New Collections Cervical Cancer – Tumor Heterogeneity: Serial Functional and Molecular Imaging Across the Radiation Therapy Course in Advanced Cervical Cancer (CC-Tumor-Heterogeneity) is now available.The understanding of biological processes occurring within the tumor environment during the ongoing radiation therapy course remains a major knowledge gap in radiation oncology for cervical cancer and other malignancies. This collection seeks to help fill this gap by providing functional/molecular tumor imaging data sets – spatially to assess tumor heterogeneity and temporally across the radiation therapy course in advanced cervical cancer patients. The collection shares functional/molecular imaging data sets that were prospectively acquired in clinical patients with advanced-stage cervical cancer, who were treated with standard combined radiation therapy with concurrent Cisplatin-based chemotherapy. MRIs and tumor volumes/contours are included for each imaging time point. Annotations for Combination Chemotherapy With or Without Radiation Therapy in Treating Young Patients With Newly Diagnosed Stage III or Stage IV Wilms Tumor (AREN0533-Tumor-Annotations) are now available. At each time point volumetric segmentations, seed points, and negative finding assessments (DICOM RTSTRUCT) were created. The key objective of this project is to generate a large and highly curated imaging dataset of pediatric Wilms tumor patients with annotations suitable for cancer researchers and AI developers. Partnerships EuCanImage is a research project funded by the European Commission, which is developing a European cancer imaging platform and new Artificial Intelligence solutions for oncology. The EuCanImage catalog integrated all TCIA public collections as well as a rapidly growing number of EU data collections. Hence, it is now possible for researchers and developers to search through the EuCanImage catalog based in Europe and identify TCIA imaging collections based in the US. The EuCanImage catalog provides metadata summaries for each collection and links directly to TCIA download pages. TCIA Technical Updates TCIA frequently gets requests from researchers for an option to download our large pathology datasets using a command line interface, suitable for inclusion in shell/batch scripts. We now have a Jupyter Notebook here to show you how. Also, check out the recently released python package that contains functions to simplify tasks one might perform when interacting with TCIA radiology data via Jupyter Notebooks and Python. Stay Connected with The Cancer Imaging Archive  Manage Subscriptions | Help The Cancer imaging Archive is funded in part by Frederick Natational Lab for Cancer Research.

 

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