Page History

2015 was an active year for TCIA!  Here are some highlights of the developments and accomplishments.  Happy New Year from TCIA! 

New Data Sets

• 21 18 new data collections (adding data for 1207 subjects).  There   There are now 59 data collections for a total of over 28 million images and associated data. 

• Imaging data linked to Proteomics.  TCIA now contains small subsets of of breast and ovarian data with both genomic and proteomic data  data from the Clinical Proteomic Tumor Analysis Consortium (CPTAC) Phase  Phase III project.  NCI's s Cancer Imaging Program will  will continue to leverage TCIA to expand these types of data sets in 2016.

New Features 

• Collection description links from the home page have been revamped to improve consistency and make it easier to find key information Functionality
• Internal enhancements - improved curation workflow capabilities, expanded toolset designed for QC of radiation therapy imaging, and an 
• improved Improved metrics dashboard.  
• 2015 saw a rapid adoption of the TCIA Digital Object Identifier Identifiers (DOI) feature which provides a unique link to data sets, and now provides DOIs for all of its collections.DOIs) now being generated for all new collections to provide academic credit to those who share their data on TCIA

New Research Activities

• More than 33,000 unique users visited TCIA in 2015, downloading over 54 terabytes of data.

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• TCIA resources have enabled researchers to share data relating to at least 103 papers published in 2015.

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• Data from the site was featured in two Medscape articles.

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• TCIA was

• added as a recommended data repository for PLOS ONE articles to share imaging data.  

• Five volunteer TCGA imaging cancer-type research groups continued to investigate

• imaging-omics

• A new TCGA bladder imaging-genomics was formed

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NCI Grant - Funded Activies relied on TCIA:

• Two TCIA-related grant applications were funded this year.

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  • (7U01CA187013-03) aims to implement additional capabilities for radiation therapy, high performance computing and cloud computing.

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  • (1U01CA190254-01) plans to share ECOG-ACRIN clinical trial data through TCIA infrastructure in support of NCI's Quantitative Imaging Network (QIN).

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  • TCIA continued to support QIN by serving as the official archive for the network.  This year many QIN sites used TCIA for data analysis challenges and collaborative projects.  There are currently 12 different QIN-related collections in the archive.

• NCI’s Information Technology for Cancer Research (ITCR) grantees have also leveraged the site.

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  • the Quantitative image informatics for cancer research (QIICR) U24 has used TCIA as a test bed for their extensions to

• •  3D Slicer and leveraged our REST API to provide direct access to to TCIA data from within Slicer.

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  • (5U24CA180927-02) is developing a cloud-based image biomarker optimization platform called C-BIBOP which will include imaging data stored locally or accessed through TCIA to support Challenges to improve segmentation and feature computation algorithms.

Additional NCI activities relying on TCIA infrastructure include the Division of Cancer Treatment and Diagnosis Exceptional Responder precision medicine trial and the planned Coding4LungScreening (C4LS) challenge.  For C4LS, in addition to hosting the NLST data set which will serve as the source data for the challenge, TCIA managed the submission and curation of additional 190 lung screening data from eight centers to further expand the data set which will be used to validate the challenge entries.

Academic Societies

• Provided data to challenges
  • • the MICCAI Computational Brain Tumor Cluster of Events (CBTC)
  competitions and
  • • competitions 
    • the LUNGx SPIE-AAPM-NCI Lung Nodule Classification Challenge.
   Three TCIA-related courses were taught by our team
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  • Three TCIA technical courses and an imaging-omics workshop at this year’s Radiological Society of North America (RSNA) Annual Meeting

  Other Activities

  • supported the Division of Cancer Treatment and Diagnosis Exceptional Responder precision medicine trial
  • collected data for the planned Coding4LungScreening (C4LS) challenge.  

   , including hands-on courses using the TCIA, Public Databases for Radiomics Research, and the RSNA Clinical Trial Processing (CTP) Software for Clinical Trials and Research Applications for HIPAA-compliant image de-identification.  One multi-disciplinary workshop was held this year off site at RSNA to further encourage efforts to forge phenome to genome correlations.