Evidence map›Paper›PMID 35470076›Full record

ArticleActa biomaterialia2022

In vivo stiffness measurement of epidermis, dermis, and hypodermis using broadband Rayleigh-wave optical coherence elastography.

Xu Feng, Guo-Yang Li, Antoine Ramier, Amira M Eltony, Seok-Hyun Yun

Abstract read
In one paragraph

Article in Acta biomaterialia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
6.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 92 citations in OpenAlex.

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  9. Simple non-invasive in vivo measurement of stress difference in the skin.Biomechanics and modeling in mechanobiology · 2026
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  16. Deformation Driven Suction Cups: A Mechanics-Based Approach to Wearable Electronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Xu FengHarvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02114, United States; Department of Dermatology, Massachusetts General Hospital, Boston, MA 02114, United States.
Guo-Yang LiHarvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02114, United States; Department of Dermatology, Massachusetts General Hospital, Boston, MA 02114, United States.
Antoine RamierHarvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02114, United States; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA 02139, United States.
Amira M EltonyHarvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02114, United States; Department of Dermatology, Massachusetts General Hospital, Boston, MA 02114, United States.
Seok-Hyun YunHarvard Medical School and Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02114, United States; Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA 02139, United States; Department of Dermatology, Massachusetts General Hospital, Boston, MA 02114, United States. Electronic address: syun@hms.harvard.edu.
Harvard University · US

Funding

TRD3: Percutaneous and Interstitial ImagingP41EB015903 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Jacqueline Namati · 2012 to 2026
$22.4M
Biomechanical analysis of the cornea and keratoconusR01EY025454 · NEI · MASSACHUSETTS GENERAL HOSPITAL · PI YUN, SEOK-HYUN ANDY · 2015 to 2018
$1.6M
NEI NIH HHS R01 EY025454NIBIB NIH HHS P41 EB015903
6 · The paper itself

Abstract

Traveling-wave optical coherence elastography (OCE) is a promising technique to measure the stiffness of biological tissues. While OCE has been applied to relatively homogeneous samples, tissues with significantly varying elasticity through depth pose a challenge, requiring depth-resolved measurement with sufficient resolution and accuracy. Here, we develop a broadband Rayleigh-wave OCE technique capable of measuring the elastic moduli of the 3 major skin layers (epidermis, dermis, and hypodermis) reliably by analyzing the dispersion of leaky Rayleigh surface waves over a wide frequency range of 0.1-10 kHz. We show that a previously unexplored, high frequency range of 4-10 kHz is critical to resolve the thin epidermis, while a low frequency range of 0.2-1 kHz is adequate to probe the dermis and deeper hypodermis. We develop a dual bilayer-based inverse model to determine the elastic moduli in all 3 layers and verify its high accuracy with finite element analysis and skin-mimicking phantoms. Finally, the technique is applied to measure the forearm skin of healthy volunteers. The Young's modulus of the epidermis (including the stratum corneum) is measured to be ∼ 4 MPa at 4-10 kHz, whereas Young's moduli of the dermis and hypodermis are about 40 and 15 kPa, respectively, at 0.2-1 kHz. Besides dermatologic applications, this method may be useful for the mechanical analysis of various other layered tissues with sub-mm depth resolution. STATEMENT OF SIGNIFICANCE: To our knowledge, this is the first study that resolves the stiffness of the thin epidermis from the dermis and hypodermis, made possible by using high-frequency (4 - 10 kHz) elastic waves and optical coherence elastography. Beyond the skin, this technique may be useful for mechanical characterizations of various layered biomaterials and tissues.

Indexed as

Elasticity Imaging TechniquesDermisElastic ModulusEpidermisHumansPhantoms, ImagingSubcutaneous TissueTomography, Optical CoherenceLayered tissuesOptical coherence elastographyRayleigh surface waveSkinStiffness

Identifiers

PMID35470076
PMCPMC11878153
OpenAlexW4221152354

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.