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Radiomics as a Quantitative Imaging Biomarker: Practical Considerations and the Current Standpoint in Neuro-oncologic Studies

Radiomics as a Quantitative Imaging Biomarker: Practical Considerations and the Current... Radiomics utilizes high-dimensional imaging data to discover the association with diagnostic, prognostic, predictive endpoint or radiogenomics. It is an emerging field of study that potentially depicts the intratumoral heterogeneity from quantitative and classified high-throughput data. The radiomics approach has an analytic pipeline where the imaging features are extracted, processed and analyzed. At this point, special data handling is essential because it faces issues of a high-dimensional biomarker compared to a single biomarker approach. This article describes the potential role of radiomics in oncologic studies, the basic analytic pipeline and special data handling with high-dimensional data to facilitate the radiomics approach as a tool for personalized medicine in oncology. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Nuclear Medicine and Molecular Imaging Springer Journals

Radiomics as a Quantitative Imaging Biomarker: Practical Considerations and the Current Standpoint in Neuro-oncologic Studies

Nuclear Medicine and Molecular Imaging , Volume 52 (2) – Feb 1, 2018

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References (53)

Publisher
Springer Journals
Copyright
Copyright © 2018 by Korean Society of Nuclear Medicine
Subject
Medicine & Public Health; Nuclear Medicine; Imaging / Radiology; Orthopedics; Cardiology; Oncology
ISSN
1869-3474
eISSN
1869-3482
DOI
10.1007/s13139-017-0512-7
Publisher site
See Article on Publisher Site

Abstract

Radiomics utilizes high-dimensional imaging data to discover the association with diagnostic, prognostic, predictive endpoint or radiogenomics. It is an emerging field of study that potentially depicts the intratumoral heterogeneity from quantitative and classified high-throughput data. The radiomics approach has an analytic pipeline where the imaging features are extracted, processed and analyzed. At this point, special data handling is essential because it faces issues of a high-dimensional biomarker compared to a single biomarker approach. This article describes the potential role of radiomics in oncologic studies, the basic analytic pipeline and special data handling with high-dimensional data to facilitate the radiomics approach as a tool for personalized medicine in oncology.

Journal

Nuclear Medicine and Molecular ImagingSpringer Journals

Published: Feb 1, 2018

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