Evidence map›Paper›PMID 40727367›Full record

ArticleQuantitative imaging in medicine and surgery2025

High-frequency quantitative ultrasound in characterizing human skin aging: an exploration of the non-modeling and modeling approaches.

Yuzhen Li, Bingbing He, Xun Lang, Guang Shi, Ningtao Zhang, Zhenyu Guo, Yufeng Zhang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yuzhen LiDepartment of Electronic Engineering, School of Information, Yunnan University, Kunming, China.ORCID https://orcid.org/0009-0003-7157-1345
Bingbing HeDepartment of Electronic Engineering, School of Information, Yunnan University, Kunming, China.ORCID https://orcid.org/0000-0002-9233-9372
Xun LangDepartment of Electronic Engineering, School of Information, Yunnan University, Kunming, China.ORCID https://orcid.org/0000-0001-7380-6935
Guang ShiDepartment of Electronic Engineering, School of Information, Yunnan University, Kunming, China.ORCID https://orcid.org/0009-0009-9949-9780
Ningtao ZhangYunnan Betani Biotechnology Group Co., Ltd., Kunming, China.ORCID https://orcid.org/0009-0007-0709-9655
Zhenyu GuoYunnan Betani Biotechnology Group Co., Ltd., Kunming, China.ORCID https://orcid.org/0009-0002-8500-4678
Yufeng ZhangDepartment of Electronic Engineering, School of Information, Yunnan University, Kunming, China.ORCID https://orcid.org/0000-0003-0992-1642

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High-frequency quantitative ultrasound (HQUS) technology, with its non-invasiveness, high-resolution, objectivity, and reproducibility, holds significant potential for characterizing skin aging through the analysis of the internal structure of tissues. This study aims to explore a framework for characterizing skin aging assessment through HQUS technology to facilitate the subsequent analysis of skin aging-related studies. Methods: In this study, an exploration of non-modeling and modeling HQUS techniques in characterizing skin aging was conducted. In particular, we tested the conventional approach using the envelope amplitude, the non-modeling approach based on the small-window entropy and the modeling approach with the Nakagami parameters ( Results: The results show that there exists a linear correlation between all parameters and participant ages at scanning depths of 1 and 1.5 mm, respectively. Among them, the correlation coefficients for parameter Conclusions: This characterization framework, especially the modeling of the Nakagami parameter

Indexed as

envelope amplitudehigh-frequency ultrasoundNakagami parameterSkin agingsmall-window entropy

Identifiers

PMID40727367
PMCPMC12290714

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.