Evidence map›Paper›PMID 40161359›Full record

ArticlePhotoacoustics2025

Minseong Kim, Ju Hee Han, Junho Ahn, Esther Kim, Chul Hwan Bang, Chulhong Kim, Ji Hyun Lee, Wonseok Choi

Abstract read
In one paragraph

Article in Photoacoustics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  5. Review
  6. Review
  7. Article
  8. Review
  9. A Hybrid Diffusion Model Enhances Multiparametric 3D Photoacoustic Computed Tomography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  10. Article
  11. Review
  12. Review
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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

8 authors.

Minseong KimDepartment of Convergence IT Engineering, Electrical Engineering, Mechanical Engineering, and Medical Science and Engineering, POSTECH-CATHOLIC Biomedical Engineering Institute, Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, Republic of Korea.
Ju Hee HanDepartment of Dermatology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Junho AhnDepartment of Convergence IT Engineering, Electrical Engineering, Mechanical Engineering, and Medical Science and Engineering, POSTECH-CATHOLIC Biomedical Engineering Institute, Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, Republic of Korea.
Esther KimDepartment of Dermatology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Chul Hwan BangDepartment of Dermatology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Chulhong KimDepartment of Convergence IT Engineering, Electrical Engineering, Mechanical Engineering, and Medical Science and Engineering, POSTECH-CATHOLIC Biomedical Engineering Institute, Medical Device Innovation Center, Pohang University of Science and Technology, Pohang, Republic of Korea.
Ji Hyun LeeDepartment of Dermatology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Wonseok ChoiDepartment of Biomedical Engineering and Medical Sciences, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vitiligo needs early identification for proper intervention. Current adjunct diagnostic methods rely mostly on subjective visual inspection. Thus, identification of early or atypical vitiligo lesions among other hypopigmentation disorders may pose challenges. To overcome this, we investigate the feasibility of a three-dimensional (3D) photoacoustic (PA) and ultrasound (US) imaging technique as a new adjuvant analytic tool providing quantitative characterization of hypopigmentation features. This cross-sectional study was conducted at Seoul St. Mary's Hospital (Seoul, Republic of Korea) between August 2022 and January 2024. Lesions diagnosed vitiligo or IGH in locations that could safely be irradiated with laser were analyzed with 3D PA/US imaging along with the conventional diagnostic methods. A total of 53 lesions consisted of 36 vitiligo lesions and 17 IGH lesions from 39 participants with confirmed diagnosis were analyzed. The PA amplitude greatly differed between normal skin and hypopigmentation lesions, and the mean PA amplitudes of vitiligo lesions were slightly higher than that of IGH [mean (standard deviation, SD): vitiligo: 0.117 (0.043); IGH: 0.135 (0.028)]. The local SD of the PA amplitude were higher in IGH than in vitiligo lesions [vitiligo: 0.043 (0.018); IGH: 0.067 (0.017)]. The mean PA slope across the lesion boundary was significantly higher in IGH than in vitiligo [vitiligo: 0.173 (0.061); IGH: 0.342 (0.099)], whereas the PA peak depth was deeper in vitiligo than in IGH [vitiligo: 0.568 (0.262); IGH: 0.266 (0.116)]. Unlike conventional qualitative methods, 3D PA/US imaging can non-invasively provide quantitative metrics which might aid in the differentiation of vitiligo from IGH lesions.

Indexed as

HypopigmentationIdiopathic guttate hypomelanosisPhotoacoustic imagingUltrasound imagingVitiligo

Identifiers

PMID40161359
PMCPMC11951020

What OpenQuestion holds

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Registered trials

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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.