ArticleScientific reports2025
Photoacoustic imaging for monitoring radiotherapy treatment response in head and neck tumors.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Photoacoustic-ultrasound endoscopy for assessment of rectal cancer treatment response: A prospective study with T2-weighted MRI radiomics comparison.Photoacoustics · 2026Article
- Photoacoustic device fingerprints induce bias in deep learning models.Scientific reports · 2026Article
- Early Radiation Therapy Response Assessment Using Multi-Scale Photoacoustic Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- From Innovation to Application: Can Emerging Imaging Techniques Transform Breast Cancer Diagnosis?Diagnostics (Basel, Switzerland) · 2025Review
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Authors and funding
17 authors.
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Abstract
Head and neck (HN) tumors are responsible for approximately 4% of annual new cancer cases worldwide. Besides surgery, radiochemotherapy, particularly fractionated radiotherapy (RT), is the gold-standard treatment modality for these cancers. However, there is currently no reliable early measure of success available to further personalize treatment plans. This work aims to address this critical bottleneck by pioneering the use of photoacoustic imaging (PAI) to measure treatment response in HN cancer patients undergoing RT. PAI leverages the photoacoustic effect in order to non-invasively recover functional tissue properties in depths of up to several centimeters. We hypothesized that oxygen saturation ([Formula: see text]), hemoglobin concentration, and water content, as measured by PAI, would non-invasively reflect expected RT treatment effects, namely reoxygenation of lymph nodes (hypothesis H1), inflammation of surrounding organs (H2) and xerostomia (H3). Our study with n = 30 human subjects showed notable changes in [Formula: see text], hemoglobin concentration, and water levels in HN tumor patients resulting from disease treatment. Our data confirmed hypotheses H2 and H3, while an observed decrease in [Formula: see text] over the treatment course contradicted our prior assumptions (H1). A comprehensive analysis based on device and tissue digital twins, however, revealed that low blood volume fraction as encountered in malignant nodes, can lead to particularly high [Formula: see text] prediction errors, indicating that the measured [Formula: see text] values cannot be trusted within these regions. We conclude that our study is the first to show that PAI is capable of measuring early molecular changes induced by RT in human tissue non-invasively. Further studies are now needed to convert the potential of the new imaging technique into patient benefit.
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