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Community Building Notify investigators who might be interested in participating in multi-

A Scalable Methodology for Correlating Clinical Imaging Features with TCGA Data Freymann J 1 , Kirby J 1 , Jaffe C 2. 1 SAIC-Frederick, Inc. 2 Boston University School of Medicine. A Shared List created for tracking the TCGA-GBM images that were analyzed. The Cancer Imaging Archive (TCIA)

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Community Building Notify investigators who might be interested in participating in multi-

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  1. A Scalable Methodology for Correlating Clinical Imaging Features with TCGA DataFreymann J1, Kirby J1, Jaffe C2 1SAIC-Frederick, Inc. 2Boston University School of Medicine A Shared List created for tracking the TCGA-GBM images that were analyzed The Cancer Imaging Archive (TCIA) http://cancerimagingarchive.net holds the de-identified images in a central location • Community Building • Notify investigators who might be • interested in participating in multi- • institutional research teams • Facilitate regular teleconferences for • teams to formulate research questions • Provide structured wiki space and mailing lists to help manage the project T-test results correlating image features with genes The VASARI Training Guide was created to define and document the image features being scored by the team Wiki page setup to track reader progress and ensure 3 readers reviewed each case Readers install a customized version of ClearCanvas with an AIM Plugin to record the radiologists’ feature evaluations In an AIM data service Sample of the feature scores being checked for reader consistency This project has been funded in whole or in part with federal funds from the National Cancer Institute, National Institutes of Health, under Contract No. HHSN261200800001E.  The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.

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