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Computed-tomography-guided anatomic standardization for quantitative assessment of dopamine transporter SPECT

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European Journal of Nuclear Medicine and Molecular Imaging Aims and scope Submit manuscript

Abstract

Purpose

For the quantitative assessment of dopamine transporter (DAT) using [123I]FP-CIT single-photon emission computed tomography (SPECT) (DaTscan), anatomic standardization is preferable for achieving objective and user-independent quantification of striatal binding using a volume-of-interest (VOI) template. However, low accumulation of DAT in Parkinson’s disease (PD) would lead to a deformation error when using a DaTscan-specific template without any structural information. To avoid this deformation error, we applied computed tomography (CT) data obtained using SPECT/CT equipment to anatomic standardization.

Methods

We retrospectively analyzed DaTscan images of 130 patients with parkinsonian syndromes (PS), including 80 PD and 50 non-PD patients. First we segmented gray matter from CT images using statistical parametric mapping 12 (SPM12). These gray-matter images were then anatomically standardized using the diffeomorphic anatomical registration using exponentiated Lie algebra (DARTEL) algorithm. Next, DaTscan images were warped with the same parameters used in the CT anatomic standardization. The target striatal VOIs for decreased DAT in PD were generated from the SPM12 group comparison of 20 DaTscan images from each group. We applied these VOIs to DaTscan images of the remaining patients in both groups and calculated the specific binding ratios (SBRs) using nonspecific counts in a reference area. In terms of the differential diagnosis of PD and non-PD groups using SBR, we compared the present method with two other methods, DaTQUANT and DaTView, which have already been released as software programs for the quantitative assessment of DaTscan images.

Results

The SPM12 group comparison showed a significant DAT decrease in PD patients in the bilateral whole striatum. Of the three methods assessed, the present CT-guided method showed the greatest power for discriminating PD and non-PD groups, as it completely separated the two groups.

Conclusion

CT-guided anatomic standardization using the DARTEL algorithm is promising for the quantitative assessment of DaTscan images.

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Authors and Affiliations

  1. Department of Radiology, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan

    Kota Yokoyama, Kaoru Sumida, Daichi Sone, Yukio Kimura & Noriko Sato

  2. Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo, 187-8551, Japan

    Kota Yokoyama, Etsuko Imabayashi & Hiroshi Matsuda

  3. Department of Neurology, National Center of Neurology and Psychiatry, Tokyo, Japan

    Youhei Mukai & Miho Murata

Authors
  1. Kota Yokoyama
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  2. Etsuko Imabayashi
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  3. Kaoru Sumida
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  4. Daichi Sone
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  5. Yukio Kimura
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  6. Noriko Sato
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  7. Youhei Mukai
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  8. Miho Murata
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  9. Hiroshi Matsuda
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Corresponding author

Correspondence to Hiroshi Matsuda.

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Funding

This study was supported by a grant from the Japan Foundation for Neuroscience and Mental Health and intramural research grant for neurological and psychiatric disorders of National Center of Neurology and Psychiatry (27-8).

Conflicts of interest

None.

Research involving human participants and/or animals

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.

Informed consent

This retrospective study was approved by the institutional review board at the National Center of Neurology and Psychiatry Hospital, and the need for patient informed consent was waived.

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Yokoyama, K., Imabayashi, E., Sumida, K. et al. Computed-tomography-guided anatomic standardization for quantitative assessment of dopamine transporter SPECT. Eur J Nucl Med Mol Imaging 44, 366–372 (2017). https://doi.org/10.1007/s00259-016-3496-0

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  • DOI: https://doi.org/10.1007/s00259-016-3496-0

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