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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
Descripción
Sumario: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.