Clinical MR imaging in Parkinson’s disease: How useful is the swallow tail sign?

Abstract Background With conventional MRI, no Parkinson's disease (PD)‐specific abnormalities can be detected. However, there is a critical need for accompanying neuroimaging markers to guide the diagnosis. With high‐resolution susceptibility‐weighted MRI (SWI) sequences, the imaging of nigroso...

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Bibliographic Details
Main Authors: Jannik Prasuhn, Alexander Neumann, Robert Strautz, Shalida Dreischmeier, Felicitas Lemmer, Henrike Hanssen, Marcus Heldmann, Peter Schramm, Norbert Brüggemann
Format: Article
Language:English
Published: Wiley 2021-07-01
Series:Brain and Behavior
Subjects:
SWI
Online Access:https://doi.org/10.1002/brb3.2202
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Summary:Abstract Background With conventional MRI, no Parkinson's disease (PD)‐specific abnormalities can be detected. However, there is a critical need for accompanying neuroimaging markers to guide the diagnosis. With high‐resolution susceptibility‐weighted MRI (SWI) sequences, the imaging of nigrosome‐1 (N1) is possible. The so‐called swallow tail sign (STS) has been proposed as a suitable neuroimaging marker for the diagnosis of PD. Objectives To investigate whether the absence of the STS can be applied for distinguishing PD patients from healthy controls (HCs). Methods SWI images of 44 PD patients and 50 age‐ and gender‐matched HCs were investigated using a 3T MRI scanner. Two trained neuroradiologists blind‐rated the images and evaluated whether the STS was absent (1) on one side or (2) both sides of the participant's midbrain. Results Our results confirmed good interrater reliability comparable to previously published studies. However, we did not identify any group differences between PD patients and HCs. Measures of diagnostic values revealed overall poor diagnostic performance. Conclusions Even though previously stated, our study does not confirm the potential use of the STS as a supportive neuroimaging marker for PD in a clinical setting. In conclusion, there is a critical need for improvements in N1‐targeted MRI sequences and the development of advanced segmentation algorithms.
ISSN:2162-3279