Radiation-induced alterations in multi-layered, in-vitro skin models detected by optical coherence tomography and histological methods

Luisa Bromberger, Bettina Heise*, Karoline Felbermayer, Elisabeth Leiss-Holzinger, Katarina Ilicic, Thomas Ernst Schmid, Alexandra Bergmayr, Tanja Etzelstorfer, Hans Geinitz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Background Inflammatory skin reactions and skin alterations are still a potential side effect in radiation therapy (RT), which also need attention for patients’ health care. Method In a pre-clinical study we consider alterations in irradiated in-vitro skin models of epidermal and dermal layers. Typical dose regimes in radiation therapy are applied for irradiation. For non-invasive imaging and characterization optical coherence tomography (OCT) is used. Histological staining method is additionally applied for comparison and discussion. Results Structural features, such as keratinization, modifications in epidermal cell layer thickness and disorder in the layering—as indications for reactions to ionizing radiation and aging—could be observed by means of OCT and confirmed by histology. We were able to recognize known RT induced changes such as hyper-keratosis, acantholysis, and epidermal hyperplasia as well as disruption and/or demarcation of the dermo-epidermal junction. Conclusion The results may pave the way for OCT to be considered as a possible adjunctive tool to detect and monitor early skin inflammation and side effects of radiotherapy, thus supporting patient healthcare in the future.
Original languageEnglish
Article numbere0281662
Number of pages15
JournalPLOS One
Volume18
Issue number3
DOIs
Publication statusPublished - Mar 2023

Fields of science

  • 302011 Dermatology
  • 302080 Radiotherapy
  • 303 Health Sciences
  • 305 Other Human Medicine, Health Sciences
  • 102003 Image processing
  • 102035 Data science
  • 101027 Dynamical systems
  • 102023 Supercomputing
  • 102001 Artificial intelligence
  • 101004 Biomathematics
  • 101014 Numerical mathematics
  • 101028 Mathematical modelling
  • 101013 Mathematical logic
  • 102009 Computer simulation
  • 101 Mathematics
  • 202027 Mechatronics
  • 102019 Machine learning
  • 101024 Probability theory
  • 206003 Medical physics
  • 206001 Biomedical engineering
  • 101020 Technical mathematics

JKU Focus areas

  • Digital Transformation

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