Evidence map›Paper›PMID 41769152›Full record

ArticleJournal of biomedical optics2026

Quantitative photoacoustic tomography of skin vasculature predicts subcutaneous implant exposure.

Anthony M Yu, Xinyue Huang, Samuel M A Morais, Jeong Hun Park, David A Zopf, Scott J Hollister, Stanislav Emelianov

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

7 authors.

Anthony M YuGeorgia Institute of Technology and Emory University, School of Medicine, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States.ORCID https://orcid.org/0000-0002-4830-6346
Xinyue HuangGeorgia Institute of Technology and Emory University, School of Medicine, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States.ORCID https://orcid.org/0000-0001-5202-3368
Samuel M A MoraisGeorgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, Georgia, United States.
Jeong Hun ParkGeorgia Institute of Technology and Emory University, School of Medicine, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States.
David A ZopfUniversity of Wisconsin School of Medicine and Public Health, Department of Otolaryngology - Head and Neck Surgery, Madison, Wisconsin, United States.
Scott J HollisterGeorgia Institute of Technology and Emory University, School of Medicine, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States.
Stanislav EmelianovGeorgia Institute of Technology and Emory University, School of Medicine, Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia, United States.ORCID https://orcid.org/0000-0002-7098-133X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: Craniofacial implants are prone to skin necrosis and exposure, likely due to implant-induced stress and ischemia. However, this relationship has not been quantitatively validated. Identifying an imaging biomarker of skin vascular health could confirm this mechanism and help predict skin failure to mitigate implant complications. Aim: Photoacoustic tomography (PAT) was used to monitor changes in the skin vasculature surrounding subcutaneous implants with the goal of obtaining a quantitative metric predictive of implant exposure. Approach: Three designs of 3D-printed porous polycaprolactone (PCL) constructs-unimodal block, bimodal block, and unimodal dome-were implanted in 16 hairless mice. PAT was performed biweekly for 16 weeks, and a skeletonization algorithm was applied to quantify vascular density in skin overlying the implants. Results: Mice that developed implant exposure ( Conclusions: These findings establish a quantitative temporal relationship between vascular ischemia and implant exposure. PAT-derived vascular density serves as a predictive biomarker of skin failure, which can be used to enable interventional treatment and improve implant designs.

Indexed as

Photoacoustic TechniquesProstheses and ImplantsSkinTomographyAnimalsMiceMice, HairlessPolyesterspolycaprolactonePolyestersalloplastic implantcraniofacial reconstructionphotoacoustic tomographyskinvascular imaging

Identifiers

PMID41769152
PMCPMC12940092

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.