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Published in:

01-12-2018

Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis

Authors: Hidetaka Arimura, Mazen Soufi, Kenta Ninomiya, Hidemi Kamezawa, Masahiro Yamada

Published in: Radiological Physics and Technology | Issue 4/2018

Abstract

Computer-aided diagnosis (CAD) is a field that is essentially based on pattern recognition that improves the accuracy of a diagnosis made by a physician who takes into account the computer’s “opinion” derived from the quantitative analysis of radiological images. Radiomics is a field based on data science that massively and comprehensively analyzes a large number of medical images to extract a large number of phenotypic features reflecting disease traits, and explores the associations between the features and patients’ prognoses for precision medicine. According to the definitions for both, you may think that radiomics is not a paraphrase of CAD, but you may also think that these definitions are “image manipulation”. However, there are common and different features between the two fields. This review paper elaborates on these common and different features and introduces the potential of radiomics for cancer diagnosis and treatment by comparing it with CAD.

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Title: Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis
Authors: Hidetaka Arimura
Mazen Soufi
Kenta Ninomiya
Hidemi Kamezawa
Masahiro Yamada
Publication date: 01-12-2018
Publisher: Springer Singapore
Published in: Radiological Physics and Technology / Issue 4/2018
Print ISSN: 1865-0333
Electronic ISSN: 1865-0341
DOI: https://doi.org/10.1007/s12194-018-0486-x

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Potentials of radiomics for cancer diagnosis and treatment in comparison with computer-aided diagnosis

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Acknowledgment

Feasibility of anatomical feature points for the estimation of prostate locations in the Bayesian delineation frameworks for prostate cancer radiotherapy