Evidence mapPaperPMID 39649140Full record

ArticlePhotoacoustics2024

Multiscale optoacoustic assessment of skin microvascular reactivity in carotid artery disease.

Angelos Karlas, Nikoletta Katsouli, Nikolina-Alexia Fasoula, Mario Reidl, Rhiannon Lees, Lan Zang, Maria Del Pilar Ortega Carrillo, Stefan Saicic, Christoph Schäffer, Leontios Hadjileontiadis and 4 more

Abstract read
In one paragraph

Article in Photoacoustics, 2024. 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
field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

14 authors.

Angelos KarlasChair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Germany.
Nikoletta KatsouliChair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Germany.
Nikolina-Alexia FasoulaChair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Germany.
Mario ReidlChair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Germany.
Rhiannon LeesChair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Germany.
Lan ZangClinic and Polyclinic for Vascular and Endovascular Surgery, TUM University Hospital, Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Maria Del Pilar Ortega CarrilloClinic and Polyclinic for Vascular and Endovascular Surgery, TUM University Hospital, Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Stefan SaicicClinic and Polyclinic for Vascular and Endovascular Surgery, TUM University Hospital, Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Christoph SchäfferClinic and Polyclinic for Vascular and Endovascular Surgery, TUM University Hospital, Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Leontios HadjileontiadisDepartment of Biomedical Engineering & Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, UAE.
Daniela BranzanClinic and Polyclinic for Vascular and Endovascular Surgery, TUM University Hospital, Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Vasilis NtziachristosChair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Germany.
Hans-Henning EcksteinClinic and Polyclinic for Vascular and Endovascular Surgery, TUM University Hospital, Hospital rechts der Isar, Technical University of Munich, Munich, Germany.
Michael KallmayerClinic and Polyclinic for Vascular and Endovascular Surgery, TUM University Hospital, Hospital rechts der Isar, Technical University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microvascular endothelial dysfunction may provide insights into systemic diseases, such as carotid artery disease. Raster-scan optoacoustic mesoscopy (RSOM) can produce images of skin microvasculature during endothelial dysfunction challenges via numerous microvascular features. Herein, RSOM was employed to image the microvasculature of 26 subjects (13 patients with single carotid artery disease, 13 healthy participants) to assess the dynamics of 18 microvascular features at three scales of detail, i.e., the micro- (<100 μm), meso- (≈100-1000 μm) and macroscale (<1000 μm), during post-occlusive reactive hyperemia challenges. The proposed analysis identified a subgroup of 9 features as the most relevant to carotid artery disease because they achieved the most efficient classification (AUC of 0.93) between the two groups in the first minute of hyperemia (sensitivity/specificity: 0.92/0.85). This approach provides a non-invasive solution to microvasculature quantification in carotid artery disease, a main form of cardiovascular disease, and further highlights the possible link between systemic disease and microvascular dysfunction.

Indexed as

Cardiovascular diseaseMicrovascular endothelial dysfunctionMicrovascular featuresNon-invasive imagingRaster-scan optoacoustic mesoscopy

Identifiers

PMID39649140
PMCPMC11624498

What Socratic 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 Socratic graph.