Evidence map›Paper›PMID 32578406›Full record

ArticleJournal of biomedical optics2020

Point-of-care, multispectral, smartphone-based dermascopes for dermal lesion screening and erythema monitoring.

Ross Uthoff, Bofan Song, Melody Maarouf, Vivian Shi, Rongguang Liang

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.1field-weighted citation impact, top 7% of its field
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

19 citing papers in PubMed, 29 citations in OpenAlex.

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  6. Optical imaging technologies forCurrent opinion in biomedical engineering · 2023
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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

5 authors at 1 institution in 1 country.

Ross UthoffWyant College of Optical Sciences, The Univ. of Arizona, United States.
Bofan SongWyant College of Optical Sciences, The Univ. of Arizona, United States.
Melody MaaroufThe Univ. of Arizona, United States.
Vivian ShiThe Univ. of Arizona College of Medicine, United States.
Rongguang LiangWyant College of Optical Sciences, The Univ. of Arizona, United States.
University of Arizona · US

Funding

Graduate Training in Biomedical Imaging SpectrocopyT32EB000809 · NIBIB · UNIVERSITY OF ARIZONA · PI GMITRO, ARTHUR F. · 2003 to 2018
$3.3M
Ultra Precision Nanotech Manufacturing System 140GPMS10OD018061 · OD · UNIVERSITY OF ARIZONA · PI LIANG, RONGGUANG · 2015 to 2015
$305k
NIBIB NIH HHS T32 EB000809NIH HHS S10 OD018061Wellcome Trust
6 · The paper itself

Abstract

significanceThe rates of melanoma and nonmelanoma skin cancer are rising across the globe. Due to a shortage of board-certified dermatologists, the burden of dermal lesion screening and erythema monitoring has fallen to primary care physicians (PCPs). An adjunctive device for lesion screening and erythema monitoring would be beneficial because PCPs are not typically extensively trained in dermatological care.

aimWe aim to examine the feasibility of using a smartphone-camera-based dermascope and a USB-camera-based dermascope utilizing polarized white-light imaging (PWLI) and polarized multispectral imaging (PMSI) to map dermal chromophores and erythema. APPROACH: Two dermascopes integrating LED-based PWLI and PMSI with both a smartphone-based camera and a USB-connected camera were developed to capture images of dermal lesions and erythema. Image processing algorithms were implemented to provide chromophore concentrations and redness measures.

resultsPWLI images were successfully converted to an alternate colorspace for erythema measures, and the spectral bandwidth of the PMSI LED illumination was sufficient for mapping of deoxyhemoglobin, oxyhemoglobin, and melanin chromophores. Both types of dermascopes were able to achieve similar relative concentration results.

conclusionChromophore mapping and erythema monitoring are feasible with PWLI and PMSI using LED illumination and smartphone-based cameras. These systems can provide a simpler, more portable geometry and reduce device costs compared with interference-filter-based or spectrometer-based clinical-grade systems. Future research should include a rigorous clinical trial to collect longitudinal data and a large enough dataset to train and implement a machine learning-based image classifier.

Indexed as

ErythemaSmartphoneHumansImage Processing, Computer-AssistedPoint-of-Care SystemsSkindermatoscopydermoscopymHealthmultispectral imagingsmartphone imaging

Identifiers

PMID32578406
PMCPMC7309634
OpenAlexW3036842603

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.