The‌ ‌Cancer‌ ‌Imaging‌ ‌Archive‌ ‌Updates:‌ April 2023

[The Cancer Imaging Program]

The‌ ‌Cancer‌ ‌Imaging‌ ‌Archive‌ ‌Updates:‌ April 2023 New TCIA data Collections Preoperative CT and Survival Data for Patients Undergoing Resection of Colorectal Liver Metastases This Colorectal-Liver-Metastases collection includes preoperative computed tomography (CT) scans of 197 patients who had undergone resection of colorectal liver metastases (CLRM). Along with the CT images, each patient's information encompasses a 3D model produced by semi-automatically segmented liver, tumors, and vessels, as well as clinical data that includes demographic, pathologic, and survival information. 3D pathology of prostate biopsies with biochemical recurrence outcomes: raw H&E-analog datasets and image translation-assisted segmentation in 3D (ITAS3D) datasets The PCa_Bx_3Dpathology collection contains 3D tissue structures and segmentation masks from prostate biopsies. These structures are revealed through an H&E-analog stain and synthetically generated immunofluorescence staining of Cytokeratin 8. This dataset will enable researchers to explore the 3D structures’ relationship with prostate cancer patient outcomes, such as biochemical recurrence. New Annotations NCI is supporting the addition of 3D segmentations and seed points that identify tumor locations in selected TCIA clinical trial collections. These "analysis datasets", which will facilitate algorithmic analysis of the TCIA imaging data, are freely available on TCIA along with supporting documentation and sample code, such as Jupyter Notebooks. Two newly-released annotation collections are listed below, and a complete list can be found here. AREN0534-Tumor-Annotations The AREN0534-Tumor-Annotations dataset includes image annotations that were generated from and applied to the TCIA imaging collection Combination Chemotherapy and Surgery in Treating Young Patients With Wilms Tumor (AREN0534). The annotations consist of 3D segmentations and seed points of tumors on CT and MR images of 239 patients with Wilms' Tumor, as well as labels and metadata. Additionally, there is a Jupyter Notebook that explains how to access the data from the TCIA API using Python. AREN0534-Tumor-Annotations The AHOD0831-Tumor-Annotations dataset contains image annotations generated from and applied to the TCIA imaging collection Combination Chemotherapy and Radiation Therapy in Treating Young Patients With Newly Diagnosed Hodgkin Lymphoma (AHOD0831).   This collection contains 3D segmentations and seed points of tumors in 165 pediatric Hodgkin Lymphoma subjects with CT/PET imaging. There is also a Jupyter Notebook detailing how to access the data from the TCIA API using Python. Childhood Cancer Data Initative The 2023 NCI Childhood Cancer Data Initiative (CCDI) Annual Symposium was held on March 24.  TCIA supports the objective of Childhood Cancer Data Initiative (CCDI) to share clinical care and research data by de-identifying, curating and hosting childhood cancer data sets on TCIA.   Thirteen TCIA imaging data sets are currently listed on CCDI’s Childhood Cancer Data Catalog. 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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