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Age-related changes in the parotid gland: a computed tomography-based radiomics study
Zifan Lin1, Yuchao Shi1, Hongying Hu1
1State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Department of Oral Medical Imaging, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Background:
Age-related degeneration of parotid glands impacts oral and systemic health, yet non-invasive assessment remains limited. This study characterizes parotid gland aging using computed tomography (CT)-based radiomics for the early detection of glandular dysfunction or diseases.
Methods:
This retrospective study included 320 healthy individuals (aged 12-84 years), stratified into four age groups (adolescent: <25, young adult: 25-44, middle-aged: 45-59, elderly: >59 years) with balanced sex distribution. Axial medial-lateral diameter (AMLD) and mean Hounsfield unit (HU) attenuation were manually measured on axial CT slices. Three-dimensional (3D) radiomic features were extracted from automatically segmented glands via PyRadiomics platform. Dimensionality reduction was performed by probabilistic principal component analysis (PCA) and unsupervised K-means clustering was applied to shape-, first-order-, and texture-related features to identify age-associated patterns.
Results:
AMLD increased significantly with age from 32.1±3.5 mm in the adolescent group to 40.3±4.1 mm in the elderly group (P<0.05). Similarly, gland volume enlarged significantly, with males exhibiting larger volumes than females across all groups (P<0.05). In contrast, mean HU declined with age from -2.5±6.8 to -15.7±10.2 HU (P<0.05), indicating reduced tissue density and homogeneity. Radiomic uniformity also decreased significantly in adults compared to adolescents (P<0.05). Unsupervised clustering revealed a marked age-dependent shift: Cluster 1 (small, spherical glands) comprised 55.6% of adolescent glands but only 8.8% of elderly glands (P<0.05), whereas Clusters 3 and 4 (large, irregular glands) increased from 10.9% to 48.8% (P<0.05).
Conclusions:
CT-based radiomics captured age-related morphological and structural changes in parotid glands. These findings support the application of CT as a non-invasive tool for monitoring parotid gland aging and may inform the early detection of age-associated glandular dysfunction.
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