ArticleNature biomedical engineering2023
Dermal features derived from optoacoustic tomograms via machine learning correlate microangiopathy phenotypes with diabetes stage.
Article in Nature biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 33 citations in OpenAlex.
- Real-time quality control in optoacoustic mesoscopy for enhancing data quality and standardization in clinical studies.Photoacoustics · 2026Article
- Solid Hydrogel Couplants for Skin Superficial Blood Flow Imaging With Super-Resolution Ultrasound.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2026Article
- Photoacoustic Noninvasive Blood Glucose Monitoring: A Review of Systems and Strategies for Robust Glucose Concentration Estimation, with Perspectives on Miniaturization and Wearability.Sensors (Basel, Switzerland) · 2026Review
- Dynamic microvascular monitoring with miniaturized omnidirectional broadband photoacoustic imaging system for living entities (MOBILE).Nature communications · 2026Article
- Enhanced maximum intensity projection (eMIP) for improving the fidelity of optoacoustic images.Npj imaging · 2025Article
- Mechanomedicine for Addressing Skeletal Muscle Insulin Resistance.Endocrine reviews · 2025Review
- European advances in digital rheumatology: explainable insights and personalized digital health tools for psoriatic arthritis.EClinicalMedicine · 2025Review
- Multiparametric super-resolution optoacoustic imaging with ICG-tagged microbubbles.Materials today. Bio · 2025Article
- A fast all-optical 3D photoacoustic scanner for clinical vascular imaging.Nature biomedical engineering · 2025Article
- A clinically interpretable model derived from skin conductance for assessing microangiopathy of the skin surface.NPJ digital medicine · 2025Article
- Deep tissue sensing of chiral molecules using polarization-enhanced photoacoustics.Science advances · 2025Article
- A primer on current status and future opportunities of clinical optoacoustic imaging.Npj imaging · 2025Review
- Photoacoustic imaging: a unique imaging examination for the assessment of diabetic vascular disease.Frontiers in clinical diabetes and healthcare · 2025Review
- Multiscale optoacoustic assessment of skin microvascular reactivity in carotid artery disease.Photoacoustics · 2024Article
- Collection on clinical photoacoustic imaging.European journal of nuclear medicine and molecular imaging · 2024Article
- Unsupervised Segmentation of 3D Microvascular Photoacoustic Images Using Deep Generative Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
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Authors and funding
15 authors at 3 institutions in 4 countries.
Funding
Abstract
Skin microangiopathy has been associated with diabetes. Here we show that skin-microangiopathy phenotypes in humans can be correlated with diabetes stage via morphophysiological cutaneous features extracted from raster-scan optoacoustic mesoscopy (RSOM) images of skin on the leg. We obtained 199 RSOM images from 115 participants (40 healthy and 75 with diabetes), and used machine learning to segment skin layers and microvasculature to identify clinically explainable features pertaining to different depths and scales of detail that provided the highest predictive power. Features in the dermal layer at the scale of detail of 0.1-1 mm (such as the number of junction-to-junction branches) were highly sensitive to diabetes stage. A 'microangiopathy score' compiling the 32 most-relevant features predicted the presence of diabetes with an area under the receiver operating characteristic curve of 0.84. The analysis of morphophysiological cutaneous features via RSOM may allow for the discovery of diabetes biomarkers in the skin and for the monitoring of diabetes status.
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Registered trials
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 Socratic graph.