Evidence map›Paper›PMID 29188120›Full record

ArticleBiomedical optics express2017

Data-driven imaging of tissue inflammation using RGB-based hyperspectral reconstruction toward personal monitoring of dermatologic health.

Taehoon Kim, Michelle A Visbal-Onufrak, Raymond L Konger, Young L Kim

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
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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

4 authors at 2 institutions in 1 country.

Taehoon KimWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA.
Michelle A Visbal-OnufrakWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA.
Raymond L KongerDepartments of Pathology & Laboratory Medicine and Dermatology, Indiana University School of Medicine, IN 46202, USA.
Young L KimWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA.
Purdue University West Lafayette · USIndiana University School of Medicine

Funding

Laboratory test-comparable mobile assessments of hemoglobin for anemia detectionR21TW010620 · FIC · PURDUE UNIVERSITY · PI KIM, YOUNG L · 2017 to 2018
$455k
FIC NIH HHS R21 TW010620
6 · The paper itself

Abstract

Sensitive and accurate assessment of dermatologic inflammatory hyperemia in otherwise grossly normal-appearing skin conditions is beneficial to laypeople for monitoring their own skin health on a regular basis, to patients for looking for timely clinical examination, and to primary care physicians or dermatologists for delivering effective treatments. We propose that mathematical hyperspectral reconstruction from RGB images in a simple imaging setup can provide reliable visualization of hemoglobin content in a large skin area. Without relying on a complicated, expensive, and slow hyperspectral imaging system, we demonstrate the feasibility of determining heterogeneous or multifocal areas of inflammatory hyperemia associated with experimental photocarcinogenesis in mice. We envision that RGB-based reconstructed hyperspectral imaging of subclinical inflammatory hyperemic foci could potentially be integrated with the built-in camera (RGB sensor) of a smartphone to develop a simple imaging device that could offer affordable monitoring of dermatologic health.

Indexed as

(110.4234) Multispectral and hyperspectral imaging(170.1470) Blood or tissue constituent monitoring(170.1870) Dermatology(170.3010) Image reconstruction techniques

Identifiers

PMID29188120
PMCPMC5695970
OpenAlexW2766400173

What OpenQuestion 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 OpenQuestion graph.