Next‐Gen Olfactometry System for Olfactory Testing in Parkinson's Disease and High‐Risk Individuals
Year: 2026
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Olfactory impairment is a key prodromal symptom of Parkinson's disease (PD), yet conventional Japanese olfactory tests require controlled rooms and time-consuming manual procedures, restricting large-scale use. The Next-gen Olfactometry System (NOS) provides rapid, semi-automated assessment. OBJECTIVES: We evaluate the clinical utility of the NOS as an efficient screening tool for PD-related olfactory dysfunction. METHODS: Twenty-three patients with PD, 21 high-risk individuals (≥2 prodromal symptoms), and 20 low-risk controls underwent NOS testing (recognition and detection thresholds and a composite score). Results were compared with the Odor Stick Identification Test for Japanese (OSIT-J) to evaluate correlation and discriminative ability. RESULTS: NOS recognition and detection thresholds correlated moderately with OSIT-J (r = -0.676 and r = -0.516, both P < 0.001). NOS recognition thresholds were significantly worse in PD than in either risk group, but did not differ between risk groups. NOS detection thresholds and OSIT-J scores showed a graded decline-worst in PD, intermediate in high-risk, and best in low-risk-with every pairwise contrast significant. The NOS indices may discriminate between the PD and high-risk groups, as well as between the PD and low-risk groups. In the exploratory analysis, NOS recognition thresholds correlated moderately with the dopamine transporter single-photon-emission computed tomography specific binding ratio in the high-risk group. CONCLUSIONS: NOS indices showed moderate agreement with OSIT-J. Although NOS did not surpass OSIT-J in discrimination between high- and low-risk individuals, its rapid, semi-automated workflow makes it a practical option for large-scale olfactory screening in prodromal PD.
DOI: 10.1002/mdc3.70615
Authors: Taiki Fukushima, Keita Hiraga, Daigo Tamakoshi, Takashi Uematsu, Takashi Tsuboi, Maki Sato, Yuki Satake, Fumie Kinoshita, Shotaro Murata, Yoshinori Ikuma, Shuji Fujita, Masahisa Katsuno
Language: English
Subfield: Sensory Systems
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7151108411
