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 Data
Click 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 view
Interactive Filters 4
DataScope — An Interactive Dashboard to Explore and Visualize Data

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

6. Slice-Dice Data #2 #3 We now trim the cohort to only HNSCC subjects
Next 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 view
View Cohort
Click to switch to previous view 7

8. Click to visualize image
View 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 caMicroscope
Click 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: ashish.sharma@emory.edu
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: