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Computer-aided diagnosis with radiogenomics: analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images

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Abstract

In the post-genome era, a novel research field, ‘radiomics’ has been developed to offer a new viewpoint for the use of genotypes in radiology and medicine research which have traditionally focused on the analysis of imaging phenotypes. The present study analyzed brain morphological changes related to the individual’s genotype. Our data consisted of magnetic resonance (MR) images of patients with mild cognitive impairment (MCI) and Alzheimer’s disease (AD), as well as their apolipoprotein E (APOE) genotypes. First, statistical parametric mapping (SPM) 12 was used for three-dimensional anatomical standardization of the brain MR images. A total of 30 normal images were used to create a standard normal brain image. Z-score maps were generated to identify the differences between an abnormal image and the standard normal brain. Our experimental results revealed that cerebral atrophies, depending on genotypes, can occur in different locations and that morphological changes may differ between MCI and AD. Using a classifier to characterize cerebral atrophies related to an individual’s genotype, we developed a computer-aided diagnosis (CAD) scheme to identify the disease. For the early detection of cerebral diseases, a screening system using MR images, called Brain Check-up, is widely performed in Japan. Therefore, our proposed CAD scheme would be used in Brain Check-up.

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Acknowledgements

This study was partly supported by a Grant-in-Aid for Scientific Research (C) (No. 17K09067), by the Japan Society for the Promotion of Science and a Grant-in-Aid for Scientific Research on Innovative Areas (Multidisciplinary Computational Anatomy No. 26108001) from the Ministry of Education, Culture, Sports, Science, and Technology, Japan.

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Authors and Affiliations

  1. Graduate School of Health Sciences, Kumamoto University, 4-24-1 Kuhonji, Chuo-ku, Kumamoto-shi, Kumamoto, 862-0976, Japan

    Chiharu Kai

  2. Department of Medical Physics, Faculty of Life Sciences, Kumamoto University, 4-24-1 Kuhonji, Chuo-ku, Kumamoto-shi, Kumamoto, 862-0976, Japan

    Yoshikazu Uchiyama & Junji Shiraishi

  3. Department of Intelligent Image Information, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu-shi, Gifu, 501-1194, Japan

    Hiroshi Fujita

  4. Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, Chicago, IL, 60637, USA

    Kunio Doi

  5. Gunma Prefectural College of Health Sciences, 323-1 Kamiokimachi, Maebashi-shi, Gunma, 371-0052, Japan

    Kunio Doi

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  1. Chiharu Kai
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Correspondence to Yoshikazu Uchiyama.

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The authors declare no conflict of interest.

Human rights

All study procedures involving human participants were performed in accordance with the ethical standards of the Institutional Review Board (IRB) and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

Informed consent

We used data from a public database in this study. The IRB of our institute allowed us to use data from those cases.

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This study did not involve any animal models.

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Kai, C., Uchiyama, Y., Shiraishi, J. et al. Computer-aided diagnosis with radiogenomics: analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images. Radiol Phys Technol 11, 265–273 (2018). https://doi.org/10.1007/s12194-018-0462-5

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  • DOI: https://doi.org/10.1007/s12194-018-0462-5

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