Evidence map›Paper›PMID 37872989›Full record

ArticleBiomedical engineering letters2023

Skin pore imaging using spectral-domain optical coherence tomography: a case report.

Hyunmo Kim, Dongwan Kang, Daewoon Seong, Sm Abu Saleah, Jannat Amrin Luna, Yoonseok Kim, Hayoung Kim, Sangyeob Han, Mansik Jeon, Jeehyun Kim

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Article in Biomedical engineering letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

10 authors.

Hyunmo Kim *School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, 41566 Republic of Korea.
Dongwan Kang *School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, 41566 Republic of Korea.
Daewoon Seong *School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, 41566 Republic of Korea.
Sm Abu SaleahSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, 41566 Republic of Korea.
Jannat Amrin LunaSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, 41566 Republic of Korea.
Yoonseok KimSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, 41566 Republic of Korea.
Hayoung KimSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, 41566 Republic of Korea.
Sangyeob HanSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, 41566 Republic of Korea.
Mansik JeonSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, 41566 Republic of Korea.ORCID 0000-0002-0630-9039
Jeehyun KimSchool of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, 41566 Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sebum is an important component of the skin that has attracted attention in many fields, including dermatology and cosmetics. Pore expansion due to sebum on the skin can lead to various problems. Therefore, it is necessary to analyze the morphological characteristics of sebum. In this study, we used optical coherence tomography (OCT) to evaluate facial sebum areas. We obtained the OCT maximum amplitude projection (MAP) image and a cross-sectional image of skin pores in the facial area. Subsequently, we detected the sebum in skin pores using the detection algorithm of the ImageJ software to quantitatively determine the size of randomly selected pores in the proposed MAP images. Additionally, the pore size was analyzed by acquiring images before and after facial sebum extraction. According to our research, facial sebum can be morphologically described using the OCT system. Since OCT imaging enables specific analysis of skin parameters, including pores and sebum, skin analysis employing OCT could be an effective method for further research.

Indexed as

Cross-sectional imageFacial skin poreImage processingSebum extractionSpectral-domain optical coherence tomography (SD-OCT)

Identifiers

PMID37872989
PMCPMC10590360

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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.