# TCIA Sustainment and Scalability - Platforms for Quantitative Imaging Informatics in Precision Medicine

> **NIH NIH U24** · UNIV OF ARKANSAS FOR MED SCIS · 2020 · $1,584,883

## Abstract

Project Summary
The National Research Council has defined Precision Medicine as “the tailoring of medical treatments to
individual characteristics of each patient.” This requires the ability to classify patients into specialized cohorts
that differ in their susceptibility to a particular disease, in the biology and/or prognosis of the diseases they may
develop, or in their response to a specific treatment. Identifying quantitative imaging phenotypes across scale
through the use of radiomic/pathomic analyses is an evolving approach to cohort identification and to improving
our understanding of cancer biology. These analytic techniques require large collections of well-curated data for
algorithm testing and validation. Additional big data collections are required to test new hypotheses relating to
cancer biology, prognosis and therapy response. Since 2011 the Cancer Imaging Archive (TCIA) has
encouraged and supported cancer-related open science research by acquiring, curating, hosting and managing
collections of multi-modal information. To remain relevant to its current research community and ready to support
future research initiatives TCIA must undergo continuous improvement and expansion of it capabilities guided
by the research community. The TCIA user community has identified four critical areas for improvement:
expanded resources for integrative Image-Omics studies, enhanced capacity to acquire high quality data
collections, resources to support validation studies and Research Reproducibility, and increased community
engagement. The sustainment of TCIA and research community directed expansion of its capabilities will ensure
this valuable resource continues to support its rapidly growing user community and continue to promote research
reproducibility and data reuse in cancer precision medical research.

## Key facts

- **NIH application ID:** 10013134
- **Project number:** 5U24CA215109-04
- **Recipient organization:** UNIV OF ARKANSAS FOR MED SCIS
- **Principal Investigator:** Imon Banerjee
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,584,883
- **Award type:** 5
- **Project period:** 2017-09-22 → 2022-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10013134

## Citation

> US National Institutes of Health, RePORTER application 10013134, TCIA Sustainment and Scalability - Platforms for Quantitative Imaging Informatics in Precision Medicine (5U24CA215109-04). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10013134. Licensed CC0.

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