ReviewWorld journal of gastrointestinal endoscopy2025
Golden vision: The potential of yellow enhancement in laparoscopic abdominal surgeries and surgical education.
Review in World journal of gastrointestinal endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- AI-powered semantic segmentation model for enhanced ureteral mapping and real-time instrument feedback in robotic colorectal surgery.Journal of robotic surgery · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Laparoscopic imaging has advanced significantly, with higher resolutions like 4K, and innovative light modes such as narrow band imaging and near-infrared imaging. Recently, yellow enhancement (YE) mode has emerged as a novel tool that enhances the pale-yellow colour of fat into a fluorescent yellow-green, improving contrast without the need for injected dyes. It can be toggled on and off easily during surgery. YE is still under evaluation, but early experience suggests it helps surgeons differentiate anatomical planes and key intra-abdominal structures from surrounding adipose tissue. This is particularly useful in: (1) Dissecting structures surrounded or covered by fat; and (2) operating on patients with obesity, where excess intra-abdominal fat limits visualisation and retraction. By enhancing the visibility of vascular pedicles, ureters, and nerves, YE enables more precise dissections and may reduce the risk of accidental injury. It can also assist less experienced surgeons in identifying important structures, potentially improving efficiency and surgical outcomes. As a training tool, YE may shorten the learning curve, though further study is needed. Overall, YE offers potential benefits in fat-dense surgical fields by improving visualisation, reducing complications, and enhancing patient safety.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.