QIN Benchmarks for Clinical Translation of Quantitative Imaging Tools
Cancer Imaging Program, National Cancer Institute of NIH, 9609 Medical Center Drive, 4W-312, Bethesda, MD 20854, USA
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Author to whom correspondence should be addressed.
Tomography 2019, 5(1), 1-6; https://doi.org/10.18383/j.tom.2018.00045
Submission received: 3 January 2019
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Revised: 5 January 2019
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Accepted: 6 February 2019
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Published: 1 March 2019
Abstract
The Quantitative Imaging Network of the National Cancer Institute is in its 10th year of operation, and research teams within the network are developing and validating clinical decision support software tools to measure or predict the response of cancers to various therapies. As projects progress from development activities to validation of quantitative imaging tools and methods, it is important to evaluate the performance and clinical readiness of the tools before committing them to prospective clinical trials. A variety of tests, including special challenges and tool benchmarking, have been instituted within the network to prepare the quantitative imaging tools for service in clinical trials. This article highlights the benchmarking process and provides a current evaluation of several tools in their transition from development to validation.
Keywords:
cancer imaging; quantitative imaging; benchmarks; clinical translation; oncology
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MDPI and ACS Style
Farahani, K.; Tata, D.; Nordstrom, R.J. QIN Benchmarks for Clinical Translation of Quantitative Imaging Tools. Tomography 2019, 5, 1-6. https://doi.org/10.18383/j.tom.2018.00045
AMA Style
Farahani K, Tata D, Nordstrom RJ. QIN Benchmarks for Clinical Translation of Quantitative Imaging Tools. Tomography. 2019; 5(1):1-6. https://doi.org/10.18383/j.tom.2018.00045
Chicago/Turabian StyleFarahani, Keyvan, Darrell Tata, and Robert J. Nordstrom. 2019. "QIN Benchmarks for Clinical Translation of Quantitative Imaging Tools" Tomography 5, no. 1: 1-6. https://doi.org/10.18383/j.tom.2018.00045
