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QIN Benchmarks for Clinical Translation of Quantitative Imaging Tools

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 fr...

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Detalles Bibliográficos
Autores principales: Farahani, Keyvan, Tata, Darrell, Nordstrom, Robert J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403038/
https://www.ncbi.nlm.nih.gov/pubmed/30854436
http://dx.doi.org/10.18383/j.tom.2018.00045
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author Farahani, Keyvan
Tata, Darrell
Nordstrom, Robert J.
author_facet Farahani, Keyvan
Tata, Darrell
Nordstrom, Robert J.
author_sort Farahani, Keyvan
collection PubMed
description 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.
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spelling pubmed-64030382019-03-08 QIN Benchmarks for Clinical Translation of Quantitative Imaging Tools Farahani, Keyvan Tata, Darrell Nordstrom, Robert J. Tomography Perspectives 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. Grapho Publications, LLC 2019-03 /pmc/articles/PMC6403038/ /pubmed/30854436 http://dx.doi.org/10.18383/j.tom.2018.00045 Text en © 2019 The Authors. Published by Grapho Publications, LLC http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Perspectives
Farahani, Keyvan
Tata, Darrell
Nordstrom, Robert J.
QIN Benchmarks for Clinical Translation of Quantitative Imaging Tools
title QIN Benchmarks for Clinical Translation of Quantitative Imaging Tools
title_full QIN Benchmarks for Clinical Translation of Quantitative Imaging Tools
title_fullStr QIN Benchmarks for Clinical Translation of Quantitative Imaging Tools
title_full_unstemmed QIN Benchmarks for Clinical Translation of Quantitative Imaging Tools
title_short QIN Benchmarks for Clinical Translation of Quantitative Imaging Tools
title_sort qin benchmarks for clinical translation of quantitative imaging tools
topic Perspectives
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403038/
https://www.ncbi.nlm.nih.gov/pubmed/30854436
http://dx.doi.org/10.18383/j.tom.2018.00045
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