Evidence map›Paper›PMID 30143836›Full record

ArticleEuropean radiology2019

Early white matter injuries associated with dopamine transporter dysfunction in patients with acute CO intoxication: A diffusion kurtosis imaging and Tc-99m TRODAT-1 SPECT study.

Ming-Chung Chou, Ping-Hong Lai, Jie-Yuan Li

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Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Ming-Chung ChouDepartment of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
Ping-Hong LaiDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Jie-Yuan LiDepartment of Neurology, E-Da Hospital, No. 1, E-Da Road, Jiao-Su Village, Yan-Chao District, Kaohsiung City, 824, Taiwan. jeffli2035@gmail.com.

Funding

Ministry of Science and Technology, Taiwan 101-2314-B-037-047-MY2Ministry of Science and Technology, Taiwan 106-2314-B-075B-002 -MY3
6 · The paper itself

Abstract

purposePatients with CO intoxication were demonstrated to exhibit white matter (WM) injuries, changes in substantia nigra, dopamine transporter dysfunctions of striatum and Parkinsonism symptoms. We aimed to investigate the relationship between WM injuries of dopaminergic pathways and dopamine transporter dysfunctions of the striatum in patients with acute CO intoxication using both diffusion kurtosis imaging (DKI) and single photon-emission computed tomography (SPECT). MATERIALS AND

methodsSeventeen patients with acute CO intoxication and 19 age- and gender-matched healthy subjects were enrolled. DKI data were acquired from all participants and Tc-99m-TRODAT-1 SPECT scan was performed on each patient. DKI datasets were fitted to obtain axial, radial and mean diffusivity, fractional anisotropy, axial, radial and mean kurtosis for voxel-based comparison. In addition, the TRODAT-1 binding ratio of the striatum was calculated using the occipital cortices as a reference. In significant regions, correlational analysis was performed to understand the relationship between DKI indices and TRODAT-1 binding ratio.

resultsThe results showed that DKI indices were significantly altered in multiple WM regions broadly involving the basal ganglia-thalamocortical circuit and nigrostriatal pathway. The correlation analysis further revealed significant correlations between DKI indices and the TRODAT-1 binding ratio in the nigrostriatal pathway (absolute correlation coefficients ranged from 0.5992 to 0.6950, p<0.05), suggesting that CO-induced early WM injuries were associated with dopamine transporter dysfunctions of striatum.

conclusionWe concluded that DKI and Tc-99m-TRODAT-1 SPECT scans were helpful in early detection of global WM injuries associated with dysfunctions of dopamine transporter in patients with acute CO intoxication. KEY POINTS: • Voxel-based diffusion kurtosis imaging analysis was helpful in globally detecting early white matter injuries in patients with acute CO intoxication. • CO-induced early white matter injuries were broadly located in basal ganglia-thalamocortical circuit and nigrostriatal pathway. • Early white matter injuries in dopaminergic pathways were significantly correlated with dopamine transporter dysfunctions of the striatum.

Indexed as

Acute DiseaseAdultAnisotropyCarbon Monoxide PoisoningDiffusion Magnetic Resonance ImagingDopamine Plasma Membrane Transport ProteinsFemaleHumansMaleOrganotechnetium CompoundsRadiopharmaceuticalsTomography, Emission-Computed, Single-PhotonTropanesWhite MatterDopamine Plasma Membrane Transport ProteinsOrganotechnetium CompoundsRadiopharmaceuticalstechnetium Tc 99m TRODAT-1TropanesCarbon monoxideDiffusion magnetic resonance imagingDopamine transporter

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.