Evidence map›Paper›PMID 40538619›Full record

ArticleFrontiers in medical technology2025

Hyperspectral abdominal laparoscopy with real-time quantitative tissue oxygenation imaging: a live porcine study.

Oscar MacCormac, Conor C Horgan, Dale Waterhouse, Philip Noonan, Mirek Janatka, Richard Miles, Jaco Jacobs, Cameron Dockerill, Théo Trotouin, Alexis Schizas and 5 more

Abstract read
In one paragraph

Article in Frontiers in medical technology, 2025. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

15 authors.

Oscar MacCormacSchool of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.
Conor C HorganSchool of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.
Dale WaterhouseSchool of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.
Philip NoonanSchool of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.
Mirek JanatkaSchool of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.
Richard MilesSchool of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.
Jaco JacobsHypervision Surgical Limited, London, United Kingdom.
Cameron DockerillSchool of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.
Théo TrotouinSchool of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.
Alexis SchizasDepartment of General Surgery, St Thomas' Hospital, London, United Kingdom.
Barbara SeeligerInstitute of Image-Guided Surgery, IHU Strasbourg, Strasbourg, France.
Sebastien OurselinSchool of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.
Michael EbnerSchool of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.
Tom VercauterenSchool of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.
Jonathan ShapeySchool of Biomedical Engineering & Imaging Science, King's College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ischaemia is a critical complication, and can result in poor surgical outcomes. While intra-operative overt ischaemia can be perceived with the naked eye, timely recognition of borderline perfusion can prevent post-operative ischaemic complications, which is particularly relevant for colorectal anastomoses. Consequently, there is a clinical need for new technologies to intra-operatively assess tissue oxygenation (indicative of end organ perfusion), with minimal disruption to the surgical workflow. Here we present a hyperspectral imaging (HSI) system for laparoscopic surgery. This system provides live, easy to interpret, tissue oxygenation (StO Methods: White light view and tissue oxygenation maps were reconstructed from a protoype laparoscopic Hyperspectral Surgical System (HSS). First, in a live porcine model (55 kg female), the mesentery of a small bowel loop was temporarily occluded with a laparoscopic grasper, then released whilst being imaged with HSI. The quantitative StO Results: The HSS was used as the primary scope to complete a laparoscopic colorectal anastomosis, providing a simultaneous white light view and hyperspectral information. Quantitative results from small bowel imaging were shown to correlate with measurements from the superficial tissue oximetry probe. Real-time tissue oxygenation maps were shown to visually correlate with ICG-FA. Conclusion: The HSS can guide laparoscopic surgical procedures whilst providing visual and quantitative tissue oxygenation information in a live animal model. This paves the way for further studies to assess clinical applications.

Indexed as

anastomosishyperspectral imaginglaparoscopyminimally invasive surgeryStO2tissue oxygenation

Identifiers

PMID40538619
PMCPMC12176765

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.