Evidence map›Paper›PMID 40537798›Full record

ArticleJournal of translational medicine2025

Long-term investigation of 3D tissue detailed structure and multiparametric vascular network properties using OCT/OCTA for guiding atopic dermatitis theranostics.

Fengxian Du, Huiling Wu, Junwei Xue, Shenglan Yao, Ronghui Li, Jinde Zhang, Haitao Wang, Qi Cheng, Fan Zhao, Ying Huang and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

15 authors.

Fengxian Du *The State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Medical Oncology, Department of ICU, School of Medicine, School of Public Health, Xiang'an Hospital of Xiamen University, Xiamen University, Xiamen, 361102, China.
Huiling Wu *The State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Medical Oncology, Department of ICU, School of Medicine, School of Public Health, Xiang'an Hospital of Xiamen University, Xiamen University, Xiamen, 361102, China.
Junwei XueThe State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Medical Oncology, Department of ICU, School of Medicine, School of Public Health, Xiang'an Hospital of Xiamen University, Xiamen University, Xiamen, 361102, China.
Shenglan YaoThe State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Medical Oncology, Department of ICU, School of Medicine, School of Public Health, Xiang'an Hospital of Xiamen University, Xiamen University, Xiamen, 361102, China.
Ronghui LiThe State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Medical Oncology, Department of ICU, School of Medicine, School of Public Health, Xiang'an Hospital of Xiamen University, Xiamen University, Xiamen, 361102, China.
Jinde ZhangThe Institute of Advanced Science Facilities, Shenzhen, 518107, China.
Haitao WangBeiJing HealthOLight Technology Co. Ltd, Beijing, China.
Qi ChengBeiJing HealthOLight Technology Co. Ltd, Beijing, China.
Fan ZhaoShengjing Hospital of China Medical University, Shengjing, 110004, China.
Ying HuangShengjing Hospital of China Medical University, Shengjing, 110004, China.
Zijian ZhouThe State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Medical Oncology, Department of ICU, School of Medicine, School of Public Health, Xiang'an Hospital of Xiamen University, Xiamen University, Xiamen, 361102, China.
Feng LiangSenior Department of General Surgery, The First Medical Center of Chinese, PLA General Hospital, Fuxin Road, No. 28, Haidian District, Beijing, 100853, China. lfpeakcool@126.com.
Xiufei GuThe State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Medical Oncology, Department of ICU, School of Medicine, School of Public Health, Xiang'an Hospital of Xiamen University, Xiamen University, Xiamen, 361102, China. 123456789xf@163.com.
Valery V TuchinInstitute of Physics and Science Medical Center, Saratov State University, Saratov, 410012, Russia.
Qingliang ZhaoThe State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Department of Medical Oncology, Department of ICU, School of Medicine, School of Public Health, Xiang'an Hospital of Xiamen University, Xiamen University, Xiamen, 361102, China. zhaoql@xmu.edu.cn.

Funding

Fujian Province Science and Technology Plan Guiding Project 2022Y0002Fundamental Research Funds for the Central Universities of China 20720210117Ministry of Education Industry-University Cooperative Education Project 220606053295218Ministry of Scientific and Technological Development, Higher Education and Information Society FSRR-2023-0007National Science Foundation of China 82472031State Key Laboratory for Diagnosis and Treatment of Infectious Diseases 2023XAKJ0101031
6 · The paper itself

Abstract

backgroundRapid, label-free and depth-resolved imaging of atopic dermatitis (AD) at high resolution has long been a challenge due to current dermoscopes are limited by inadequate resolution, sensitivity and the lack of three-dimensional (3D) imaging capability.

methodsHerein, we present promising optical coherence tomography (OCT) and OCT angiography (OCTA) collaborative multi-parameter image processing algorithms (OCT/OCTA) that have been developed for long-term, dynamic longitudinal investigation of subtly changes in tissue structure during the dynamic development of AD, especially in the microvascular network.

resultsThe OCT image demonstrated a 'roller-coaster' trend in skin thickness throughout the progression of dermatitis, initially exhibiting an increase and subsequently a decrease. Moreover, the OCTA image enabled the discernment of a displacement of the superficial vascular plexus to deeper layers as the severity of AD increased. Furthermore, the results of the quantitative analysis of vascular multiparametric features at different stages, including vessel diameter, length, and density, also demonstrated a positive correlation with the severity of AD.

conclusionOverall, the full-cycle dynamic changes in skin thickness and depth-resolved vascular alterations during the progression of dermatitis can be effectively predicted using OCT/OCTA, which can inform more targeted AD diagnosis and treatment strategies. Furthermore, this method has the potential to assess therapeutic drug efficacy by capturing microvascular and structural responses across different stages of treatment. The presented methods have the potential to provide new insight into the monitoring of long-term vascular and tissue structure responses before and after therapeutic intervention in a range of AD-related skin diseases.

Indexed as

AngiographyDermatitis, AtopicImaging, Three-DimensionalPrecision MedicineTheranostic NanomedicineTomography, Optical CoherenceHumansSkinAtopic dermatitisInflammatoryLong-term observationOptical coherence tomographyOptical Micro-angiography

Identifiers

PMID40537798
PMCPMC12180231

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