Evidence map›Paper›PMID 37342706›Full record

ArticleBiomedical optics express2023

Spatial frequency domain imaging for the assessment of scleroderma skin involvement.

Anahita Pilvar, Aarohi M Mehendale, Kavon Karrobi, Fatima El-Adili, Andreea Bujor, Darren Roblyer

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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

6 citing papers in PubMed, 5 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Anahita PilvarDepartment of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA.ORCID https://orcid.org/0000-0002-3341-0079
Aarohi M MehendaleDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA.ORCID https://orcid.org/0000-0002-4737-0178
Kavon KarrobiDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA.ORCID https://orcid.org/0000-0001-7034-6937
Fatima El-AdiliDivision of Rheumatology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA.
Andreea BujorDivision of Rheumatology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA 02118, USA.
Darren RoblyerDepartment of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA.ORCID https://orcid.org/0000-0002-5301-4364
Boston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic sclerosis (SSc) is an autoimmune disease characterized by the widespread deposition of excess collagen in the skin and internal organs, as well as vascular dysfunction. The current standard of care technique used to quantify the extent of skin fibrosis in SSc patients is the modified Rodnan skin score (mRSS), which is an assessment of skin thickness based on clinical palpation. Despite being considered the gold standard, mRSS testing requires a trained physician and suffers from high inter-observer variability. In this study, we evaluated the use of spatial frequency domain imaging (SFDI) as a more quantitative and reliable method for assessing skin fibrosis in SSc patients. SFDI is a wide-field and non-contact imaging technique that utilizes spatially modulated light to generate a map of optical properties in biological tissue. The SFDI data were collected at six measurement sites (left and right forearms, hands, and fingers) of eight control subjects and ten SSc patients. mRSS were assessed by a physician, and skin biopsies were collected from subject's forearms and used to assess for markers of skin fibrosis. Our results indicate that SFDI is sensitive to skin changes even at an early stage, as we found a significant difference in the measured optical scattering (

Identifiers

PMID37342706
PMCPMC10278615
OpenAlexW4376612432

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.