Evidence map›Paper›PMID 40624055›Full record

ArticleScientific reports2025

Establishment of a clinical workflow for in vivo Raman spectroscopy during head and neck cancer surgery.

Ayman Bali, Thomas Bitter, Mussab Kouka, Jonas Ballmaier, Ines Latka, Florian Windirsch, David Pertzborn, Nadja Ziller, Marcela Mafra, Nikolaus Gaßler and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

15 authors.

Ayman BaliDepartment of Otorhinolaryngology, Jena University Hospital Department, Am Klinikum 1, 07747, Jena, Germany.
Thomas BitterDepartment of Otorhinolaryngology, Jena University Hospital Department, Am Klinikum 1, 07747, Jena, Germany.
Mussab KoukaDepartment of Otorhinolaryngology, Jena University Hospital Department, Am Klinikum 1, 07747, Jena, Germany.
Jonas BallmaierDepartment of Otorhinolaryngology, Jena University Hospital Department, Am Klinikum 1, 07747, Jena, Germany.
Ines LatkaLeibniz Institute of Photonic Technology, Jena, Germany.
Florian WindirschLeibniz Institute of Photonic Technology, Jena, Germany.
David PertzbornDepartment of Otorhinolaryngology, Jena University Hospital Department, Am Klinikum 1, 07747, Jena, Germany.
Nadja ZillerDepartment of Otorhinolaryngology, Jena University Hospital Department, Am Klinikum 1, 07747, Jena, Germany.
Marcela MafraDepartment of Otorhinolaryngology, Jena University Hospital Department, Am Klinikum 1, 07747, Jena, Germany.
Nikolaus GaßlerSection Pathology of the Institute of Forensic Medicine, Jena University Hospital, Jena, Germany.
Jürgen PoppLeibniz Institute of Photonic Technology, Jena, Germany.
Anna MühligDepartment of Otorhinolaryngology, Jena University Hospital Department, Am Klinikum 1, 07747, Jena, Germany.
Ferdinand von EggelingDepartment of Otorhinolaryngology, Jena University Hospital Department, Am Klinikum 1, 07747, Jena, Germany.
Orlando Guntinas-LichiusDepartment of Otorhinolaryngology, Jena University Hospital Department, Am Klinikum 1, 07747, Jena, Germany. orlando.guntinas@med.uni-jena.de.ORCID http://orcid.org/0000-0001-9671-0784
Iwan W SchieLeibniz Institute of Photonic Technology, Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As first part of an ongoing prospective feasibility trial (DRKS00028114) this work explored the integration of in vivo Raman spectroscopy (RS) into the routine setting workflow of head and neck cancer (HNC) surgery. In vivo RS was performed intraoperatively on 30 patients with HNC cell carcinoma and 10 patients with inflammatory diseases as a control group. A standardized process was established using a Raman system complied with stringent medical device regulatory standards. Spectra were collected in vivo from the tumor site, the tumor margins, and healthy tissue. The learning curve of the HNC team significantly improved measurement times from over 30 min initially to 2 min after 15 patients. Data from 35 patients were interpretable, demonstrating clear spectral differences between tumor and healthy tissues. The intraoperative in vivo RS workflow is now well established and is being used in the ongoing clinical trial.

Indexed as

Head and Neck NeoplasmsSpectrum Analysis, RamanAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedProspective StudiesWorkflow

Identifiers

PMID40624055
PMCPMC12234754

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Registered trials

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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.