Evidence map›Paper›PMID 42310010›Full record

ArticleNature communications2026

The confounding effects of skin colour in photoacoustic imaging.

Thomas R Else, Christine Loreno, Alice Groves, Benjamin T Cox, Evangelia Vetsiou, Janek Gröhl, Inés Modolell, Sarah E Bohndiek, Amit Roshan

Abstract read
In one paragraph

Article in Nature communications, 2026. 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. Optoacoustic muscle imaging.Journal of neuromuscular diseases · 2026
    Review
  3. Article
  4. 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

9 authors.

Thomas R ElseCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
Christine LorenoACED Clinic Cambridge, Early Cancer Institute, University of Cambridge, Cambridge, UK.
Alice GrovesACED Clinic Cambridge, Early Cancer Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0002-2769-4300
Benjamin T CoxDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.ORCID 0000-0001-7296-4093
Evangelia VetsiouCambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Janek GröhlCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0002-5332-4856
Inés ModolellACED Clinic Cambridge, Early Cancer Institute, University of Cambridge, Cambridge, UK.
Sarah E BohndiekCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK. seb53@cam.ac.uk.ORCID 0000-0003-0371-8635
Amit RoshanCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK. a.roshan@qmul.ac.uk.ORCID 0000-0002-2034-2759

Funding

Cancer Research UK (CRUK) C64667/A27958Cancer Research UK (CRUK) C9545/A29580Cancer Research UK (CRUK) EDDAMC-2023/100003DH | NIHR | Health Services Research Programme (NIHR Health Services Research Programme) NIHR203312RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/X037770/1
6 · The paper itself

Abstract

Skin colour is known to confound optical devices, adversely impacting care for patients with darker skin. Photoacoustic imaging (PAI) combines optics and ultrasound for deep tissue imaging, creating a complex relationship between PAI-derived biomarkers and skin melanin concentration, yet no generalisable bias correction has been demonstrated. Drawing on a healthy volunteer cohort of 42 participants spanning Fitzpatrick types I-VI and vitiligo - the most diverse ever assembled in PAI - we characterise optical and acoustic mechanisms driving skin colour-dependent degradation in image quality and biomarker quantification. Wavelength-dependent melanin absorption causes spectral colouring, dominating at low melanin levels, while epidermal ultrasound backscattering dominates at high melanin levels, producing a non-linear relationship between unmixed sO₂ and skin tone. Leveraging this understanding, we propose a practical spectral colouring correction and adapt a plane-wave reconstruction algorithm to resolve backscattered ultrasound artefacts. Our findings underscore the need for advanced reconstruction methods to enable equitable clinical PAI.

Indexed as

Photoacoustic TechniquesSkinSkin PigmentationAdultAlgorithmsBiomarkersFemaleHumansMaleMelaninsUltrasonographyVitiligoBiomarkersMelanins

Identifiers

PMID42310010
PMCPMC13433769

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.