Radiomics integration into a picture archiving and communication system

[Figure: see text] Radiomics is referred to as quantitative imaging of biomarkers used for clinical outcome prognosis or tumor characterization. In order to bridge radiomics and its clinical application, we aimed to build an integrated solution of radiomics extraction with an open-source Picture Arc...

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Detalles Bibliográficos
Autores principales: Zhovannik, Ivan, Pai, Suraj, da Silva Santos, Talia A., van Driel, Lars L.G., Dekker, Andre, Fijten, Rianne, Traverso, Alberto, Bussink, Johan, Monshouwer, René
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507196/
https://www.ncbi.nlm.nih.gov/pubmed/34667885
http://dx.doi.org/10.1016/j.phro.2021.09.007
Descripción
Sumario:[Figure: see text] Radiomics is referred to as quantitative imaging of biomarkers used for clinical outcome prognosis or tumor characterization. In order to bridge radiomics and its clinical application, we aimed to build an integrated solution of radiomics extraction with an open-source Picture Archiving and Communication System (PACS). The integrated SQLite4Radiomics software was tested in three different imaging modalities and its performance was benchmarked in lung cancer open datasets RIDER and MMD with median extraction time of 10.7 (percentiles 25–75: 8.9–18.7) seconds per ROI in three different configurations.

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