Evidence map›Paper›PMID 32513976›Full record

ArticleScientific reports2020

Assessing the severity of psoriasis through multivariate analysis of optical images from non-lesional skin.

Mantas Žurauskas, Ronit Barkalifa, Aneesh Alex, Marina Marjanovic, Darold R Spillman, Prabuddha Mukherjee, Craig D Neitzel, Warren Lee, Jeremy Medler, Zane Arp and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. S1 guideline for imaging diagnostics for skin diseases.Journal der Deutschen Dermatologischen Gesellschaft = Journal of the German Society of Dermatology : JDDG · 2025
    Guideline
  2. Intravital Monitoring of Psoriasis Treatment Response and Drug Delivery Using Multiphoton Fluorescence Lifetime Imaging.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2026
    Article
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  13. Multiphoton intravital microscopy of rodents.Nature reviews. Methods primers · 2022
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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

13 authors at 4 institutions in 2 countries.

Mantas Žurauskas *GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Ronit Barkalifa *GSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Aneesh AlexGSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Marina MarjanovicGSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Darold R SpillmanGSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Prabuddha MukherjeeGSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Craig D NeitzelDepartment of Dermatology, Carle Foundation Hospital, Champaign, IL, USA.
Warren LeeDepartment of Dermatology, Carle Foundation Hospital, Champaign, IL, USA.
Jeremy MedlerDepartment of Dermatology, Carle Foundation Hospital, Champaign, IL, USA.
Zane ArpGSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Matthew ClevelandGlaxoSmithKline, Stevenage, UK.
Steve HoodGSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, IL, USA. steve.r.hood@gsk.com.
Stephen A BoppartGSK Center for Optical Molecular Imaging, University of Illinois at Urbana-Champaign, Urbana, IL, USA. boppart@illinois.edu.
University of Illinois Urbana-Champaign · USCarle Foundation Hospital · USAge UK · GBIllinois College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with psoriasis represent a heterogeneous population with individualized disease expression. Psoriasis can be monitored through gold standard histopathology of biopsy specimens that are painful and permanently scar. A common associated measure is the use of non-invasive assessment of the Psoriasis Area and Severity Index (PASI) or similarly derived clinical assessment based scores. However, heterogeneous manifestations of the disease lead to specific PASI scores being poorly reproducible and not easily associated with clinical severity, complicating the efforts to monitor the disease. To address this issue, we developed a methodology for non-invasive automated assessment of the severity of psoriasis using optical imaging. Our analysis shows that two-photon fluorescence lifetime imaging permits the identification of biomarkers present in both lesional and non-lesional skin that correlate with psoriasis severity. This ability to measure changes in lesional and healthy-appearing skin provides a new pathway for independent monitoring of both the localized and systemic effects of the disease. Non-invasive optical imaging was conducted on lesions and non-lesional (pseudo-control) skin of 33 subjects diagnosed with psoriasis, lesional skin of 7 subjects diagnosed with eczema, and healthy skin of 18 control subjects. Statistical feature extraction was combined with principal component analysis to analyze pairs of two-photon fluorescence lifetime images of stratum basale and stratum granulosum layers of skin. We found that psoriasis is associated with biochemical and structural changes in non-lesional skin that can be assessed using clinically available two-photon fluorescence lifetime microscopy systems.

Indexed as

BiomarkersFemaleFluorescenceHumansMaleMicroscopy, FluorescenceMultivariate AnalysisOptical ImagingPsoriasisSeverity of Illness IndexSkinBiomarkers

Identifiers

PMID32513976
PMCPMC7280219
OpenAlexW3032911247

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.