Radiomics and its emerging role in lung cancer research, imagingbiomarkers and clinical management: State of the art
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- Radiomics and its emerging role in lung cancer research, imagingbiomarkers and clinical management: State of the art
- Geewon Lee; Ho Yun Lee; Hyunjin Park; Mark L. Schiebler; Edwin J.R van Beek; Yoshiharu Ohno; Joon Beom Seo; Ann Leung
- EUROPEAN JOURNAL OF RADIOLOGY, v.86, no., pp.297 - 307
- ELSEVIER IRELAND LTD
- With the development of functional imaging modalities we now have the ability to study the microenvironment of lung cancer and its genomic instability. Radiomics is defined as the use of automated or
semi-automated post-processing and analysis of large amounts of quantitative imaging features that can
be derived from medical images. The automated generation ofthese analyticalfeatures helps to quantify a
number of variables inthe imaging assessment oflungmalignancy. These imaging features include:tumor
spatial complexity, elucidation of the tumor genomic heterogeneity and composition, subregional identification in terms of tumor viability or aggressiveness, and response to chemotherapy and/or radiation.
Therefore, a radiomic approach can help to reveal unique information about tumor behavior. Currently
available radiomic features can be divided into four major classes: (a) morphological, (b) statistical, (c)
regional, and (d) model-based. Each category yields quantitative parameters that reflect specific aspects
of a tumor. The major challenge is to integrate radiomic data with clinical, pathological, and genomic
information to decode the different types of tissue biology. There are many currently available radiomic
studies on lung cancer for which there is a need to summarize the current state of the art. © 2016 Elsevier Ireland Ltd. All rights reserved.
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