Evidence map›Paper›PMID 38094710›Full record

ArticleJournal of biomedical optics2023

Switchable LED-based laparoscopic multispectral system for rapid high-resolution perfusion imaging.

Annekatrin Pfahl, Süleyman T Polat, Hannes Köhler, Ines Gockel, Andreas Melzer, Claire Chalopin

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. LED-based, real-time, hyperspectral imaging device.Journal of medical imaging (Bellingham, Wash.) · 2025
    Article
  4. 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

6 authors at 3 institutions in 2 countries.

Annekatrin PfahlLeipzig University, Faculty of Medicine, Innovation Center Computer Assisted Surgery, Leipzig, Germany.ORCID 0000-0002-6285-1586
Süleyman T PolatLeipzig University, Faculty of Medicine, Innovation Center Computer Assisted Surgery, Leipzig, Germany.ORCID 0000-0002-7214-5861
Hannes KöhlerLeipzig University, Faculty of Medicine, Innovation Center Computer Assisted Surgery, Leipzig, Germany.ORCID 0000-0001-9342-3288
Ines GockelUniversity Hospital of Leipzig, Department of Visceral, Transplant, Thoracic, and Vascular Surgery, Leipzig, Germany.ORCID 0000-0001-7423-713X
Andreas MelzerLeipzig University, Faculty of Medicine, Innovation Center Computer Assisted Surgery, Leipzig, Germany.
Claire ChalopinLeipzig University, Faculty of Medicine, Innovation Center Computer Assisted Surgery, Leipzig, Germany.
Leipzig University · DEUniversity Hospital Leipzig · DEUniversity of Dundee · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Multispectral imaging (MSI) is an approach for real-time, quantitative, and non-invasive tissue perfusion measurements. Current laparoscopic systems based on mosaic sensors or filter wheels lack high spatial resolution or acceptable frame rates. Aim: To develop a laparoscopic system for MSI-based color video and tissue perfusion imaging during gastrointestinal surgery without compromising spatial or temporal resolution. Approach: The system was built with 14 switchable light-emitting diodes in the visible and near-infrared spectral range, a 4K image sensor, and a 10 mm laparoscope. Illumination patterns were created for tissue oxygenation and hemoglobin content monitoring. The system was calibrated to a clinically approved laparoscopic hyperspectral system using linear regression models and evaluated in an occlusion study with 36 volunteers. Results: The root mean squared errors between the MSI and reference system were 0.073 for hemoglobin content, 0.039 for oxygenation in deeper tissue layers, and 0.093 for superficial oxygenation. The spatial resolution at a working distance of 45 mm was Conclusions: High-resolution perfusion monitoring was successfully achieved. Hardware optimizations will increase the frame rate. Parameter optimizations through alternative illumination patterns, regression, or assumed tissue models are planned. Intraoperative measurements must confirm the suitability during surgery.

Indexed as

Diagnostic ImagingLaparoscopyHemoglobinsHumansLightingHemoglobinslaparoscopemultispectral imagingocclusion studyperfusiontissue hemoglobin contenttissue oxygenation

Identifiers

PMID38094710
PMCPMC10718192
OpenAlexW4389686236

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.