Cancer Imaging Archive Updates: March 2020

[Tacconelli, Michelle (NIH/NCI) [C]]

TCIA Update: March 2020

The ACRIN-HNSCC-FDG-PET/CT (ACRIN 6685) clinical trial data is now available for access by NCI's Quantitative Imaging Network investigators. Learn more at https://doi.org/10.7937/K9/TCIA.2016.JQEJZZNG

Extensive clinical data for these patients (demographics, treatment, surviv­al, etc) have been added to the collection.

The C4KC-KiTS collection contains CT scans for 210 patients w/ manual semantic segmentations of the kidneys and tumors in the corticomedullary phase. It aims to accelerate progress in automatic 3D semantic seg menta­tion: https://dx.doi.org/10.7937/TCIA.2019.IX49E8NX

We are excited to see Medical Physics Journal efforts to facilitate careful documentation of publicly accessible datasets for Cancer Research! These types of publications are extremely helpful in enabling the downstream re-use of TCIA data!

“CT images with expert manual contours of thoracic cancer for benchmark­ing auto-segmentation accuracy” Purpose: Automatic segmentation offers many benefits for radiotherapy treatment planning; however, the lack of publicly available benchmark datasets limits the clinical use of automatic segmentation. http://bit.ly/32NlCpt

The new OPC-Radiomics collection contains radiotherapy planning CTs, RTSTRUCT gross tumor volume contours, and clinical outcomes from 606 patients with oropharynx cancer. Learn more at https://doi.org/10.7937/ tcia.2019.8dho2gls

Check out the recent OCCPR Webinar about TCIA's support to the Clinical Proteomic Tumor Analysis Consortium.  Radiology and histopathology im­aging data from CPTAC subjects can be linked to proteomic, genomic, and clinical data stored in the Proteomic and Genomic Data Commons. Learn more here!

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