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Identification of patterns of abnormalities seen on DaTscan™ SPECT imaging in patients with non-Parkinson’s movement disorders

Authors Calle S, Dawood L, Tripathee NR, Cai C, Kaur H, Wan DQ, Ibekwe H, Gayed IW

Received 19 January 2019

Accepted for publication 10 April 2019

Published 23 July 2019 Volume 2019:12 Pages 9—15

DOI https://doi.org/10.2147/RMI.S201890

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Melinda Thomas

Peer reviewer comments 2

Editor who approved publication: Professor Tarik Massoud


Susana Calle,1 Lydia Dawood,2 Niroj R Tripathee,3 Chunyan Cai,4 Harleen Kaur,5 David Q Wan,5 Henry Ibekwe,6 Isis W Gayed5

1Neuroradiology Section, Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, Houston, TX, USA; 2Department of Surgery, Baylor College of Medicine, Houston, TX, USA; 3Body Imaging Section, Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, Houston, TX, USA; 4Clinical and Translational Sciences Section, The University of Texas Health Science Center at Houston, Houston, TX, USA; 5Nuclear Medicine Section, Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, Houston, TX, USA; 6Memorial Hermann Hospital, Texas Medical Center, Houston, TX, USA

Purpose: To identify patterns of abnormalities using DaTscan single photon emissioncomputed tomography (SPECT) imaging of patients with non-Parkinson’s movement disorders.
Materials and methods: A single institution retrospective evaluation was performed of consecutive patients who underwent DaTscan SPECT imaging for Parkinson’s-like movement disorders, excluding those who had scan findings consistent with Parkinson’s disease. Demographic and clinical data were collected for all patients. A single experienced reader graded the degree of decreased dopamine transporter activity using a semi-quantitative visual score. Additional quantitative analysis was utilized to generate z-scores in 101/104 patients. Data were analyzed to establish patterns and frequency of abnormalities on DaTscan. Correlation between quantitative and semi-quantitative visual scores was also performed.
Results: A total of 104 patients were included, of which 77 patients (74%) had abnormal findings on semi-quantitative visual assessment of the DaTscan images and 27 patients (26%) had normal findings. Of the abnormalities, the majority were either mild or moderate decrease in tracer accumulation, in one or both putamina. The most common site of abnormality was the left posterior putamen followed by the right posterior putamen. Quantitative z-score analysis revealed that 14% of the patients exhibited an abnormality, while 86% had normal z-scores.
Conclusion: Semi-quantitative visual DaTscan analysis of patients with non-Parkinson’s movement disorders most commonly reveals mild to moderate decrease in dopamine transporter activity, primarily involving the posterior aspect of one of the putamina.

Keywords: DaTscan, tremor, movement disorders, dopamine transporter, 123I-ioflupane

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