ArticleScientific reports2025
Assessment of dermal fiber changes associated with age ethnicity and cosmetic product use by LC-OCT and automated 3D segmentation.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Multimodal Non-Invasive Skin Imaging in Dermatology: Current Modalities, Clinical Applications, and Future Integration.Diagnostics (Basel, Switzerland) · 2026Review
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This work presents a novel, non-invasive method that combines high-resolution 3D Line-field Confocal Optical Coherence Tomography (LC-OCT) images with an advanced, in-house developed automated 3D segmentation algorithm to quantitatively analyze dermal fiber characteristics in vivo. This approach marks the first in-depth investigation of dermal fibers, enabling precise characterization of age-related changes, ethnic differences, and the effects of anti-aging skincare products on the cheekbone region of Caucasian and Asian women. Our algorithm accurately extracts fiber metrics, revealing that aging correlates with shorter fiber length and increased anisotropy. Although Asians exhibited a denser fiber network than Caucasians, both ethnicities showed comparable mean fiber lengths and anisotropy. Furthermore, anti-aging skincare treatments significantly enhanced fiber length, node count, and network density while reducing anisotropy over one and three months. This innovative integration of cutting-edge imaging and algorithmic analysis provides valuable insights for cosmetic applications and paves the way for future non-invasive dermatological research.
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