Evidence map›Paper›PMID 36068803›Full record

ArticlePhotoacoustics2022

Mapping the architecture of the temporal artery with photoacoustic imaging for diagnosing giant cell arteritis.

Magdalena Naumovska, Aboma Merdasa, Björn Hammar, John Albinsson, Ulf Dahlstrand, Magnus Cinthio, Rafi Sheikh, Malin Malmsjö

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Photoacoustics, 2022. 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
0.1field-weighted citation impact, top 65% 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

8 authors at 2 institutions in 1 country.

Magdalena NaumovskaDepartment of Clinical Sciences Lund, Ophthalmology, Lund University, Skåne University Hospital, Lund, Sweden.
Aboma MerdasaDepartment of Clinical Sciences Lund, Ophthalmology, Lund University, Skåne University Hospital, Lund, Sweden.
Björn HammarDepartment of Clinical Sciences Lund, Ophthalmology, Lund University, Skåne University Hospital, Lund, Sweden.
John AlbinssonDepartment of Clinical Sciences Lund, Ophthalmology, Lund University, Skåne University Hospital, Lund, Sweden.
Ulf DahlstrandDepartment of Clinical Sciences Lund, Ophthalmology, Lund University, Skåne University Hospital, Lund, Sweden.
Magnus CinthioDepartment of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden.
Rafi SheikhDepartment of Clinical Sciences Lund, Ophthalmology, Lund University, Skåne University Hospital, Lund, Sweden.
Malin MalmsjöDepartment of Clinical Sciences Lund, Ophthalmology, Lund University, Skåne University Hospital, Lund, Sweden.
Lund University · SESkåne University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoacoustic (PA) imaging is rapidly emerging as a promising clinical diagnostic tool. One of the main applications of PA imaging is to image vascular networks in humans. This relies on the signal obtained from oxygenated and deoxygenated hemoglobin, which limits imaging of the vessel wall itself. Giant cell arteritis (GCA) is a treatable, but potentially sight- and life-threatening disease, in which the artery wall is infiltrated by leukocytes. Early intervention can prevent complications making prompt diagnosis of importance. Temporal artery biopsy is the gold standard for diagnosing GCA. We present an approach to imaging the temporal artery using multispectral PA imaging. Employing minimally supervised spectral analysis, we produce histology-like images where the artery wall is clearly discernible from the lumen and further differentiate between PA spectra from biopsies diagnosed as GCA- and GCA+ in 77 patients.

Indexed as

Giant cell arteritisNoninvasive, clinical diagnosisPhotoacoustic imagingUnsupervised spectral analysis

Identifiers

PMID36068803
PMCPMC9441260
OpenAlexW4283802882

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.