Evidence map›Paper›PMID 38886457›Full record

ArticleScientific reports2024

Investigation on the influence of the skin tone on hyperspectral imaging for free flap surgery.

Ester Pachyn, Maximilian Aumiller, Christian Freymüller, Matthäus Linek, Veronika Volgger, Alexander Buchner, Adrian Rühm, Ronald Sroka

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

8 authors.

Ester PachynDepartment of Urology, Laser-Forschungslabor, LIFE Center, University Hospital, LMU Munich, Fraunhoferstrasse 20, 82152, Planegg, Germany. ester.pachyn@med.uni-muenchen.de.
Maximilian AumillerDepartment of Urology, Laser-Forschungslabor, LIFE Center, University Hospital, LMU Munich, Fraunhoferstrasse 20, 82152, Planegg, Germany.
Christian FreymüllerDepartment of Urology, Laser-Forschungslabor, LIFE Center, University Hospital, LMU Munich, Fraunhoferstrasse 20, 82152, Planegg, Germany.
Matthäus LinekDepartment of Urology, Laser-Forschungslabor, LIFE Center, University Hospital, LMU Munich, Fraunhoferstrasse 20, 82152, Planegg, Germany.
Veronika VolggerDepartment of Otorhinolaryngology, University Hospital, LMU Munich, 81377, Munich, Germany.
Alexander BuchnerDepartment of Urology, University Hospital, LMU Munich, 81377, Munich, Germany.
Adrian RühmDepartment of Urology, Laser-Forschungslabor, LIFE Center, University Hospital, LMU Munich, Fraunhoferstrasse 20, 82152, Planegg, Germany.
Ronald SrokaDepartment of Urology, Laser-Forschungslabor, LIFE Center, University Hospital, LMU Munich, Fraunhoferstrasse 20, 82152, Planegg, Germany.

Funding

Bundesministerium für Bildung und Forschung 13N14507Deutsche Forschungsgemeinschaft GRK2274
6 · The paper itself

Abstract

Hyperspectral imaging (HSI) is a new emerging modality useful for the noncontact assessment of free flap perfusion. This measurement technique relies on the optical properties within the tissue. Since the optical properties of hemoglobin (Hb) and melanin overlap, the results of the perfusion assessment and other tissue-specific parameters are likely to be distorted by the melanin, especially at higher melanin concentrations. Many spectroscopic devices have been shown to struggle with a melanin related bias, which results in a clinical need to improve non-invasive perfusion assessment, especially for a more pigmented population. This study investigated the influence of skin tones on tissue indices measurements using HSI. In addition, other factors that might affect HSI, such as age, body mass index (BMI), sex or smoking habits, were also considered. Therefore, a prospective feasibility study was conducted, including 101 volunteers from whom tissue indices measurements were performed on 16 different body sites. Skin tone classification was performed using the Fitzpatrick skin type classification questionnaire, and the individual typology angle (ITA) acquired from the RGB images was calculated simultaneously with the measurements. Tissue indices provided by the used HSI-device were correlated to the possible influencing factors. The results show that a dark skin tone and, therefore, higher levels of pigmentation influence the HSI-derived tissue indices. In addition, possible physiological factors influencing the HSI-measurements were found. In conclusion, the HSI-based tissue indices can be used for perfusion assessment for people with lighter skin tone levels but show limitations in people with darker skin tones. Furthermore, it could be used for a more individual perfusion assessment if different physiological influencing factors are respected.

Indexed as

Free Tissue FlapsHyperspectral ImagingSkin PigmentationAdultAgedFeasibility StudiesFemaleHemoglobinsHumansMaleMelaninsMiddle AgedProspective StudiesSkinYoung AdultHemoglobinsMelaninsFree flapHyperspectral imagingMelaninPerfusionSkin pigmentationSkin tone

Identifiers

PMID38886457
PMCPMC11183063

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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.