This study validates an innovative method using 3D facial scanning technology to analyze the depth of wrinkles and their potential correlation with cardiovascular risk factors. The research quantitatively assessed the severity of wrinkles in the forehead (HF), glabellar (GF), and periorbital (PO) regions, establishing a link between visible signs of aging and cardiovascular health risks. A trend was observed where greater wrinkle volume corresponds to higher cardiovascular risk scores, although the relationship was not uniformly linear, suggesting a complex interplay of factors influencing both cardiovascular health and aging. This study introduces a new multidisciplinary diagnostic approach by integrating dermatological evaluations with cardiovascular risk assessments, highlighting the potential of using visible aging signs as non-invasive health indicators.

Facial Wrinkles as Indicators of Cardiovascular Risk: An Interdisciplinary Approach Using 3D Scanning Technology

Salmeri F.
Formal Analysis
;
Catalano A.
Methodology
;
Colonna M. R.
Supervision
;
Cucinotta F.
Methodology
;
Galeano M.
Visualization
;
Sfravara F.
Conceptualization
;
Raffaele M.
Software
2025-01-01

Abstract

This study validates an innovative method using 3D facial scanning technology to analyze the depth of wrinkles and their potential correlation with cardiovascular risk factors. The research quantitatively assessed the severity of wrinkles in the forehead (HF), glabellar (GF), and periorbital (PO) regions, establishing a link between visible signs of aging and cardiovascular health risks. A trend was observed where greater wrinkle volume corresponds to higher cardiovascular risk scores, although the relationship was not uniformly linear, suggesting a complex interplay of factors influencing both cardiovascular health and aging. This study introduces a new multidisciplinary diagnostic approach by integrating dermatological evaluations with cardiovascular risk assessments, highlighting the potential of using visible aging signs as non-invasive health indicators.
2025
9783031765933
9783031765940
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3330919
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