Evidence map›Paper›PMID 42775360›Full record

ArticleJournal of biomedical optics2026

Endoscopic multispectral imaging sensor systems for intraoperative tissue differentiation.

Andrea Rüdinger, Kira Holstein, Alissa Tarnoruzki, Nora Lösch, Tobias Haist, Stephan Reichelt

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Andrea RüdingerUniversity of Stuttgart, Institute of Applied Optics (ITO), Stuttgart, Germany.ORCID https://orcid.org/0009-0000-4532-7304
Kira HolsteinUniversity of Stuttgart, Institute of Applied Optics (ITO), Stuttgart, Germany.
Alissa TarnoruzkiUniversity of Stuttgart, Institute of Applied Optics (ITO), Stuttgart, Germany.
Nora LöschUniversity of Stuttgart, Institute of Applied Optics (ITO), Stuttgart, Germany.
Tobias HaistUniversity of Stuttgart, Institute of Applied Optics (ITO), Stuttgart, Germany.
Stephan ReicheltUniversity of Stuttgart, Institute of Applied Optics (ITO), Stuttgart, Germany.ORCID https://orcid.org/0000-0001-5556-0708

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: To remove the entire tumor area in cancer surgery, the margins are currently assessed by frozen sectioning or by analyzing the resected tissue afterwards. By utilizing spectral differences between healthy and malignant tissue, multispectral imaging (MSI) enables real-time tissue differentiation. Through miniaturization, the system can be used intraoperatively, thereby enabling the surgeon to define tumor margins, which reduces the need for a follow-up surgery. Aim: By obtaining characteristic spectral differences of healthy and malignant breast tissue, a miniaturized multispectral sensor system should be developed. The system should be compatible to commercial endoscopes, so that it can be used in minimally invasive endoscopic procedures. Approach: We analyzed hyperspectral measurements of an Results: The final setups can be used with a commercial endoscope and allow for 90 deg field of view and a high spatial resolution, but showed limitations in the SWIR transmission. Conclusion: The two demonstrated systems are promising steps towards real-time endoscopic tissue differentiation.

Indexed as

Breast NeoplasmsEndoscopyHyperspectral ImagingBreastEndoscopesEquipment DesignFemaleHumansMiniaturizationcancerendoscopic imaginghyperspectral imagingmultispectral imagingtissue differentiation

Identifiers

PMID42775360
PMCPMC13597026

What Socratic holds

Textmetadata
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.