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DOI 10.1007/s11604-017-0694-z

Медицинская библиотека · Japanese journal of radiology · 2017

Correlations between dopamine transporter density measured by 123I-FP-CIT SPECT and regional gray matter volume in Parkinson's disease.

Maekawa Tomoko, Sato Noriko, Ota Miho, Sugiyama Atsuhiko, Sone Daichi, Enokizono Mikako, Kimura Yukio, Mukai Youhei, Murata Miho, Takano Harumasa, Imabayashi Etsuko, Matsuda Hiroshi, Kunimatsu Akira, Abe Osamu

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Аннотация

PURPOSE: Parkinson's disease (PD) is caused by a selective degeneration of dopamine neurons. The relationship between dopamine transporter (DAT) density and gray matter volume has been unclear. Here we investigated the voxelwise correlation between gray matter volume and DAT binding measured by 123I-N-ω-fluoropropyl-2β-carboxymethoxy-3β-(4-iodophenyl)nortropane (123I-FP-CIT) single-photon emission computed tomography (SPECT; DaTscan™ imaging) in PD.

MATERIALS AND

METHODS

Thirty-one male patients with PD were examined with MRI and DaTscan. To measure nigrostriatal dopaminergic degeneration in PD, the specific binding ratio (SBR) of the striatum was obtained by DaTscan. Voxel-based morphometry (VBM) of 3D T1-weighted images was used to evaluate the relationships between the regional gray matter volume and the SBR in the striatum.

RESULTS

There were significant positive correlations between the SBR and the gray matter volume in the right pulvinar and posterior middle temporal gyrus and a trend level in the left pulvinar, all of which are associated with the second visual pathway.

CONCLUSION

The nigrostriatal dopaminergic degeneration might affect the secondary visual pathway, leading to visual dysfunctions in PD.

Для цитирования: Maekawa Tomoko, Sato Noriko, Ota Miho, Sugiyama Atsuhiko, Sone Daichi, Enokizono Mikako, Kimura Yukio, Mukai Youhei, Murata Miho, Takano Harumasa, Imabayashi Etsuko, Matsuda Hiroshi, Kunimatsu Akira, Abe Osamu. Correlations between dopamine transporter density measured by 123I-FP-CIT SPECT and regional gray matter volume in Parkinson's disease.. Japanese journal of radiology. 2017. DOI: 10.1007/s11604-017-0694-z.

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