Evidence map›Paper›PMID 37959212›Full record

ArticleJournal of clinical medicine2023

Multispectral Imaging Analysis of Skin Lesions in Patients with Neurofibromatosis Type 1.

Emilija V Plorina, Kristine Saulus, Ainars Rudzitis, Norbert Kiss, Márta Medvecz, Tatjana Linova, Dmitrijs Bliznuks, Alexey Lihachev, Ilze Lihacova

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

9 authors at 4 institutions in 2 countries.

Emilija V PlorinaInstitute of Atomic Physics and Spectroscopy, University of Latvia, LV-1586 Riga, Latvia.ORCID 0000-0001-6884-876X
Kristine SaulusInstitute of Atomic Physics and Spectroscopy, University of Latvia, LV-1586 Riga, Latvia.
Ainars RudzitisPauls Stradins Clinical University Hospital, Pilsoņu 13, LV-1002 Riga, Latvia.ORCID 0000-0001-5984-1291
Norbert KissDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Maria Str. 41, H-1085 Budapest, Hungary.ORCID 0000-0002-9947-1755
Márta MedveczDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Maria Str. 41, H-1085 Budapest, Hungary.ORCID 0000-0002-3126-096X
Tatjana LinovaDermatology Clinic, Health Center 4, Skanstes 50, LV-1013 Riga, Latvia.
Dmitrijs BliznuksInstitute of Smart Computing Technologies, Riga Technical University, Zunda Krastmala 10, LV-1658 Riga, Latvia.ORCID 0000-0003-4252-9220
Alexey LihachevInstitute of Atomic Physics and Spectroscopy, University of Latvia, LV-1586 Riga, Latvia.ORCID 0000-0003-4178-895X
Ilze LihacovaInstitute of Atomic Physics and Spectroscopy, University of Latvia, LV-1586 Riga, Latvia.ORCID 0000-0002-8102-7373
University of Latvia · LVSemmelweis University · HUPauls Stradiņš Clinical University Hospital · LVRiga Technical University · LV

Funding

European Regional Development Fund 1.1.1.1/20/A/072European Social Fund 8.2.2.0/20/I/006National Research, Development and Innovation Office of Hungary FK131916
6 · The paper itself

Abstract

Neurofibromatosis type 1 (NF1) is a rare disease, affecting around 1 in 3500 individuals in the general population. The rarity of the disease contributes to the scarcity of the available diagnostic and therapeutic approaches. Multispectral imaging is a non-invasive imaging method that shows promise in the diagnosis of various skin diseases. The device utilized for the present study consisted of four sets of narrow-band LEDs, including 526 nm, 663 nm, and 964 nm for diffuse reflectance imaging and 405 nm LEDs, filtered through a 515 nm long-pass filter, for autofluorescence imaging. RGB images were captured using a CMOS camera inside of the device. This paper presents the results of this multispectral skin imaging approach to distinguish the lesions in patients with NF1 from other more common benign skin lesions. The results show that the method provides a potential novel approach to distinguish NF1 lesions from other benign skin lesions.

Indexed as

multimodal skin imagingmultispectral imagingneurofibromatosis type 1non-invasive skin imagingrare disease diagnostics

Identifiers

PMID37959212
PMCPMC10649204
OpenAlexW4387937423

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.