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Published, Version of Record (VoR)CC BY V4.0, Open
Journal article
Assessment of Motor Dysfunction with Virtual Reality in Patients Undergoing [ 123 I]FP-CIT SPECT/CT Brain Imaging
Tomography (Ann Arbor), v 7(2), pp 95-106
26 Mar 2021
PMID: 33810475
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
[
I]FP-CIT SPECT has been valuable for distinguishing Parkinson disease (PD) from essential tremor. However, its performance for quantitative assessment of motor dysfunction has not been established. A virtual reality (VR) application was developed and compared with [
I]FP-CIT SPECT/CT for detection of severity of motor dysfunction. Forty-four patients (21 males, 23 females, age 64.5 ± 12.4) with abnormal [
I]FP-CIT SPECT/CT underwent assessment of bradykinesia, activities of daily living, and tremor with VR. Support vector machines (SVM) machine learning models were applied to VR and SPECT data. Receiver operating characteristic (ROC) analysis demonstrated greater area under the curve (AUC) for VR (0.8418, 95% CI 0.6071-0.9617) compared with brain SPECT (0.5357, 95% CI 0.3373-0.7357,
= 0.029) for detection of motor dysfunction. Logistic regression identified VR as an independent predictor of motor dysfunction (Odds Ratio 326.4, SE 2.17,
= 0.008). SVM for prediction of the Unified Parkinson's Disease Rating Scale Part III (UPDRS-III) demonstrated greater R-squared of 0.713 (
= 0.008) for VR, compared with 0.0764 (
= 0.361) for brain SPECT. This study demonstrates that VR can be safely used in patients prior to [
I]FP-CIT SPECT imaging and may improve prediction of motor dysfunction. This test has the potential to provide a simple, objective, quantitative analysis of motor symptoms in PD patients.
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Details
- Title
- Assessment of Motor Dysfunction with Virtual Reality in Patients Undergoing [ 123 I]FP-CIT SPECT/CT Brain Imaging
- Creators
- Jeanne P Vu - University of California, San DiegoGhiam Yamin - Stanford UniversityZabrina Reyes - University of California, San DiegoAlex Shin - Drexel UniversityAlexander Young - University of California, San DiegoIrene Litvan - University of California, San DiegoPengtao Xie - University of California, San DiegoSebastian Obrzut - University of California, San DiegoBeverly A Reyes - Pharmacology and Physiology
- Publication Details
- Tomography (Ann Arbor), v 7(2), pp 95-106
- Publisher
- MDPI
- Grant note
- #RR1876 / Radiological Society of North America
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Pharmacology and Physiology
- Web of Science ID
- WOS:000668522000001
- Scopus ID
- 2-s2.0-85103863305
- Other Identifier
- 991019184827004721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Radiology, Nuclear Medicine & Medical Imaging