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Strahlentherapie und Onkologie

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01-10-2017 | Review Article

“Radio-oncomics”

The potential of radiomics in radiation oncology

Authors: Jan Caspar Peeken, Fridtjof Nüsslin, Stephanie E. Combs

Published in: Strahlentherapie und Onkologie | Issue 10/2017

Abstract

Introduction

Radiomics, a recently introduced concept, describes quantitative computerized algorithm-based feature extraction from imaging data including computer tomography (CT), magnetic resonance imaging (MRT), or positron-emission tomography (PET) images. For radiation oncology it offers the potential to significantly influence clinical decision-making and thus therapy planning and follow-up workflow.

Methods

After image acquisition, image preprocessing, and defining regions of interest by structure segmentation, algorithms are applied to calculate shape, intensity, texture, and multiscale filter features. By combining multiple features and correlating them with clinical outcome, prognostic models can be created.

Results

Retrospective studies have proposed radiomics classifiers predicting, e. g., overall survival, radiation treatment response, distant metastases, or radiation-related toxicity. Besides, radiomics features can be correlated with genomic information (“radiogenomics”) and could be used for tumor characterization.

Discussion

Distinct patterns based on data-based as well as genomics-based features will influence radiation oncology in the future. Individualized treatments in terms of dose level adaption and target volume definition, as well as other outcome-related parameters will depend on radiomics and radiogenomics. By integration of various datasets, the prognostic power can be increased making radiomics a valuable part of future precision medicine approaches.

Conclusion

This perspective demonstrates the evidence for the radiomics concept in radiation oncology. The necessity of further studies to integrate radiomics classifiers into clinical decision-making and the radiation therapy workflow is emphasized.

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Title: “Radio-oncomics”
The potential of radiomics in radiation oncology
Authors: Jan Caspar Peeken
Fridtjof Nüsslin
Stephanie E. Combs
Publication date: 01-10-2017
Publisher: Springer Berlin Heidelberg
Published in: Strahlentherapie und Onkologie / Issue 10/2017
Print ISSN: 0179-7158
Electronic ISSN: 1439-099X
DOI: https://doi.org/10.1007/s00066-017-1175-0

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

“Radio-oncomics”

The potential of radiomics in radiation oncology

Abstract

Introduction

Methods

Results

Discussion

Conclusion

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Introduction

Methods

Results

Discussion

Conclusion

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