Radiological Physics and Technology

, Volume 11, Issue 4, pp 365–374 | Cite as

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

  • Hidetaka ArimuraEmail author
  • Mazen Soufi
  • Kenta Ninomiya
  • Hidemi Kamezawa
  • Masahiro Yamada


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.


Radiomics Computer-aided diagnosis Cancer diagnosis and treatment Precision medicine 



The researches described in this review paper were partially supported by the “Program for Supporting Educations and Researches on Mathematics and Data Science in Kyushu University”. The authors are grateful to all members of the Arimura laboratory (, whose comments made enormous contributions to the researches described in this review paper.

Compliance with ethical standards

Conflict of interest

The authors declare no conflict of interest.

Human rights

This article does not include studies using human subjects.

Animal rights

This article does not include others studies using animal models.


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Copyright information

© Japanese Society of Radiological Technology and Japan Society of Medical Physics 2018

Authors and Affiliations

  • Hidetaka Arimura
    • 1
    Email author
  • Mazen Soufi
    • 2
  • Kenta Ninomiya
    • 4
  • Hidemi Kamezawa
    • 3
  • Masahiro Yamada
    • 4
  1. 1.Division of Medical Quantum Science, Department of Health Sciences, Faculty of Medical SciencesKyushu UniversityFukuokaJapan
  2. 2.Division of Information ScienceNara Institute of Science and TechnologyIkomaJapan
  3. 3.Department of Radiological Technology, Faculty of Fukuoka Medical TechnologyTeikyo UniversityOmutaJapan
  4. 4.Division of Medical Quantum Science, Department of Health Sciences, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan

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