Evidence map›Paper›PMID 41293706›Full record

ArticleBiomedical optics express2025

Design and implementation of an integrated scanning protocol for multimodal functional OCT.

Zhengshuyi Feng, Tianyu Zhang, Mingkai Wang, Zhihong Huang, Chunhui Li

Abstract read
In one paragraph

Article in Biomedical optics express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Zhengshuyi FengHealthcare Engineering, School of Physics and Engineering Technology, University of York, UK.ORCID https://orcid.org/0009-0007-4168-6589
Tianyu ZhangHealthcare Engineering, School of Physics and Engineering Technology, University of York, UK.
Mingkai WangPhotobiology Unit, NHS Tayside, Ninewells Hospital, Dundee, UK.
Zhihong HuangHealthcare Engineering, School of Physics and Engineering Technology, University of York, UK.
Chunhui LiCentre for Medical Engineering and Technology, University of Dundee, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early diagnosis of skin lesions is crucial for improving treatment outcomes. So far, based on optical coherence tomography (OCT), as a non-invasive technique, OCT structural image, optical coherence elastography (OCE), and OCT-based angiography (OCTA) have been utilized to evaluate the biomechanical properties and vascular network in in-vivo human skin. However, image registrations are the major difficulty in separating scans. Therefore, the integration of these three modalities has been achieved by a new scanning protocol to provide a comprehensive, non-invasive assessment of skin tissue, enabling more accurate differentiation between benign and malignant lesions. This study aimed to collect data for the OCT structure, OCE, and OCTA in one scanning acquisition by employing a swept-source (SS-OCT) OCT system. Eleven health participants were recruited for three positions: palm (n = 11), forearm (n = 11), and facial skin (n = 5). From OCE data, Young's modulus was calculated for the stiffness; from OCTA data, vessel area density (VAD), vessel skeleton density (VSD), vessel diameter index (VDI), and weighted Tortuosity Index (WTI) were used to evaluate the vessel network. One facial lesion dataset was collected, and the results indicated differences in the above parameters compared to healthy facial skin data. In conclusion, the new scanning protocol for integrating the structural image, OCE, and OCTA in one scan demonstrated results to calculate the parameters of the skin, which provides potential benefits for skin research and offers full aspects for dermatologists of skin disease.

Identifiers

PMID41293706
PMCPMC12642975

What Socratic holds

Textmetadata
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 Socratic graph.