# Optical Coherence Tomography Angiography (OCTA) Captures Early Micro-Vascular Remodeling in Non-Melanoma Skin Cancer During Superficial Radiotherapy: A Proof-of-Concept Study

**Authors:** Gerd Heilemann, Giulia Rotunno, Lisa Krainz, Francesco Gili, Christoph Müller, Kristen M. Meiburger, Dietmar Georg, Joachim Widder, Wolfgang Drexler, Mengyang Liu, Cora Waldstein

PMC · DOI: 10.3390/diagnostics15212698 · Diagnostics · 2025-10-24

## TL;DR

This study shows that OCTA can track early blood vessel changes in skin cancer during radiotherapy, offering a non-invasive way to monitor treatment effects.

## Contribution

The study introduces OCTA as a novel non-invasive tool for capturing micro-vascular changes in non-melanoma skin cancer during radiotherapy.

## Key findings

- OCTA detected dose-dependent reductions in vascular complexity after radiotherapy.
- Radiomic features showed significant changes in signal heterogeneity over time.
- XGBoost classification achieved moderate accuracy in distinguishing treatment time points.

## Abstract

Background/Objectives: This proof-of-concept study evaluated whether optical coherence tomography angiography (OCTA) can non-invasively capture micro-vascular alterations in non-melanoma skin cancer (NMSC) lesions during and after superficial orthovoltage radiotherapy (RT) using radiomics and vascular features analysis. Methods: Eight patients (13 NMSC lesions) received 36–50 Gy in 6–20 fractions. High-resolution swept-source OCTA volumes (1.1 × 10 × 10 mm3) were acquired from each lesion at three time points: pre-RT, immediately post-RT, and three months post-RT. Additionally, healthy skin baseline was scanned. After artifact suppression and region-of-interest cropping, (i) first-order and texture radiomics and (ii) skeleton-based vascular features were extracted. Selected features after LASSO (least absolute shrinkage and selection operator) were explored with principal-component analysis. An XGBoost model was trained to classify time points with 100 bootstrap out-of-bag validations. Kruskal–Wallis tests with Benjamini–Hochberg correction assessed longitudinal changes in the 20 most influential features. Results: Sixty-one OCTA volumes were analyzable. LASSO retained 47 of 103 features. The first two principal components explained 63% of the variance, revealing a visible drift of lesions from pre- to three-month post-RT clusters. XGBoost achieved a macro-averaged AUC of 0.68 ± 0.07. Six features (3 texture, 2 first order, 1 vascular) changed significantly across time points (adjusted p < 0.05), indicating dose-dependent reductions in signal heterogeneity and micro-vascular complexity as early as treatment completion, which deepened by three months. Conclusions: OCTA-derived radiomic and vascular signatures tracked RT-induced micro-vascular remodeling in NMSC. The approach is entirely non-invasive, label-free, and feasible at the point of care. As an exploratory proof-of-concept, this study helps to refine scanning and analysis protocols and generates knowledge to support future integration of OCTA into adaptive skin-cancer radiotherapy workflows.

## Linked entities

- **Diseases:** non-melanoma skin cancer (MONDO:0002656)

## Full-text entities

- **Diseases:** NMSC (MESH:D012878)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12607523/full.md

## References

24 references — full list in the complete paper: https://tomesphere.com/paper/PMC12607523/full.md

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Source: https://tomesphere.com/paper/PMC12607523