Radiomics in PET: Principles and applications

Gary Cook; Musib Siddique; Ben Taylor; Connie Yip; Sugama Chicklore; Vicky Goh

doi:10.1007/s40336-014-0064-0

Radiomics in PET: Principles and applications

Gary Cook, Musib Siddique, Ben Taylor, Connie Yip, Sugama Chicklore, Vicky Goh

Cancer Imaging

Research output: Contribution to journal › Literature review › peer-review

100 Citations (Scopus)

Abstract

Radiomics is an evolving field in which the extraction of large amounts of features from diagnostic medical images may be used to predict underlying molecular and genetic characteristics, thereby improving treatment response prediction and prognostication and potentially allowing personalisation of cancer treatment. There is increasing interest in extracting additional data from PET images, particularly novel features that describe the heterogeneity of voxel intensities, but a number of potential limitations need to be recognised and overcome. Nevertheless, some early data suggest that extraction of additional quantitative data may offer further predictive and prognostic information in individual patients.

Original language	English
Pages (from-to)	269-276
Number of pages	8
Journal	Clinical and Translational Imaging
Volume	2
Issue number	3
DOIs	https://doi.org/10.1007/s40336-014-0064-0
Publication status	Published - 1 Jun 2014

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AU - Goh, Vicky

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Radiomics in PET: Principles and applications

Abstract

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