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- Title
Kinect-based objective assessment of the acute levodopa challenge test in parkinsonism: a feasibility study.
- Authors
Hong, Ronghua; Wu, Zhuang; Peng, Kangwen; Zhang, Jingxing; He, Yijing; Zhang, Zhuoyu; Gao, Yichen; Jin, Yue; Su, Xiaoyun; Zhi, Hongping; Guan, Qiang; Pan, Lizhen; Jin, Lingjing
- Abstract
Introduction: The acute levodopa challenge test (ALCT) is an important and valuable examination but there are still some shortcomings with it. We aimed to objectively assess ALCT based on a depth camera and filter out the best indicators. Methods: Fifty-nine individuals with parkinsonism completed ALCT and the improvement rate (IR, which indicates the change in value before and after levodopa administration) of the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale part III (MDS-UPDRS III) was calculated. The kinematic features of the patients' movements in both the OFF and ON states were collected with an Azure Kinect depth camera. Results: The IR of MDS-UPDRS III was significantly correlated with the IRs of many kinematic features for arising from a chair, pronation-supination movements of the hand, finger tapping, toe tapping, leg agility, and gait (rs = − 0.277 ~ − 0.672, P < 0.05). Moderate to high discriminative values were found in the selected features in identifying a clinically significant response to levodopa with sensitivity, specificity, and area under the curve (AUC) in the range of 50–100%, 47.22%–97.22%, and 0.673–0.915, respectively. The resulting classifier combining kinematic features of toe tapping showed an excellent performance with an AUC of 0.966 (95% CI = 0.922–1.000, P < 0.001). The optimal cut-off value was 21.24% with sensitivity and specificity of 94.44% and 87.18%, respectively. Conclusion: This study demonstrated the feasibility of measuring the effect of levodopa and objectively assessing ALCT based on kinematic data derived from an Azure Kinect-based system.
- Subjects
DOPA; PARKINSONIAN disorders; PARKINSON'S disease; FEASIBILITY studies; MOVEMENT disorders
- Publication
Neurological Sciences, 2024, Vol 45, Issue 6, p2661
- ISSN
1590-1874
- Publication type
Article
- DOI
10.1007/s10072-023-07296-5