1 CPTAC Pathology on TCIA1 CPTAC Pathology on TCIA Ashish Sharma (Emory) – Fred Prior (UAMS) The Cancer Imaging Archive Team

2 Introduction 2 TCIA or The Cancer Imaging Archive hosts digitized pathology images Subset of clinical and pathology data is also available Available Data 265 images from 64 Subjects Non-image data from 646 Subjects Interactive dashboard allows users to explore clinical and pathology data, and create image cohorts Users can also visualize and download images

3 DataScope — An Interactive Dashboard to Explore and Visualize DataClick to see all filters Interactive Filters to create cohorts 3 DataScope — An Interactive Dashboard to Explore and Visualize Data

4 Click to switch to previous viewInteractive Filters 4 DataScope — An Interactive Dashboard to Explore and Visualize Data

5 Slice-Dice Data We now trim the cohort to only HNSCC subjectsSelect HNSCC subjects 5

6 Slice-Dice Data #2 #3 We now trim the cohort to only HNSCC subjectsNext we select only those where we have images AND the image is of a tumor issue AND the % tumor nuclei is % #4 6

7 Click to switch to previous viewView Cohort Click to switch to previous view 7

8 Click to visualize imageView Cohort #1 | #2 View Specimen Data of Cohort View Thumbnails of Pathology Images Click on Thumbnails to Visualize Images Click to visualize image 8

9 Visualize Pathology Image using caMicroscopeClick to download image Scroll to Zoom Use the mouse to Pan 9 Visualize Pathology Image using caMicroscope

10 Summary 10 CPTAC images, associated specimen and slide data can explored using DataScope and caMicroscope Clinical and Demographic Data can also be managed in TCIA and accessed in DataScope Links with Radiology and RT will be added once that data is loaded to TCIA TCIA is a stable yet continually evolving and expanding information resource for various Cancer Imaging initiatives

11 Thank You Contact: [email protected]Leidos Biomedical Research, Contract 16X011 for NCI, Maintenance and Extension of The Cancer Imaging Archive (TCIA), (PI: Prior) NCIP/Leidos caMicroscope — A Digital Pathology Integrative Query System; PI: Sharma NCI QIN: Resources for development and validation of Radiomic Analyses & Adaptive Therapy — PI: Prior, Sharma (UAMS, Emory) Contact: