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Fast raster-scan optoacoustic mesoscopy enables assessment of human melanoma microvasculature in vivo

Author

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  • Hailong He

    (Institute of Biological and Medical Imaging, Helmholtz Zentrum München
    Technical University of Munich)

  • Christine Schönmann

    (Technical University of Munich)

  • Mathias Schwarz

    (iThera Medical GmbH)

  • Benedikt Hindelang

    (Technical University of Munich)

  • Andrei Berezhnoi

    (Institute of Biological and Medical Imaging, Helmholtz Zentrum München
    Technical University of Munich)

  • Susanne Annette Steimle-Grauer

    (Technical University of Munich)

  • Ulf Darsow

    (Technical University of Munich)

  • Juan Aguirre

    (Institute of Biological and Medical Imaging, Helmholtz Zentrum München
    Technical University of Munich)

  • Vasilis Ntziachristos

    (Institute of Biological and Medical Imaging, Helmholtz Zentrum München
    Technical University of Munich)

Abstract

Melanoma is associated with angiogenesis and vascular changes that may extend through the entire skin depth. Three-dimensional imaging of vascular characteristics in skin lesions could therefore allow diagnostic insights not available by conventional visual inspection. Raster-scan optoacoustic mesoscopy (RSOM) images microvasculature through the entire skin depth with resolutions of tens of micrometers; however, current RSOM implementations are too slow to overcome the strong breathing motions on the upper torso where melanoma lesions commonly occur. To enable high-resolution imaging of melanoma vasculature in humans, we accelerate RSOM scanning using an illumination scheme that is coaxial with a high-sensitivity ultrasound detector path, yielding 15 s single-breath-hold scans that minimize motion artifacts. We apply this Fast RSOM to image 10 melanomas and 10 benign nevi in vivo, showing marked differences between malignant and benign lesions, supporting the possibility to use biomarkers extracted from RSOM imaging of vasculature for lesion characterization to improve diagnostics.

Suggested Citation

  • Hailong He & Christine Schönmann & Mathias Schwarz & Benedikt Hindelang & Andrei Berezhnoi & Susanne Annette Steimle-Grauer & Ulf Darsow & Juan Aguirre & Vasilis Ntziachristos, 2022. "Fast raster-scan optoacoustic mesoscopy enables assessment of human melanoma microvasculature in vivo," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30471-9
    DOI: 10.1038/s41467-022-30471-9
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    References listed on IDEAS

    as
    1. Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Correction: Corrigendum: Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 546(7660), pages 686-686, June.
    2. Peter Carmeliet & Rakesh K. Jain, 2000. "Angiogenesis in cancer and other diseases," Nature, Nature, vol. 407(6801), pages 249-257, September.
    3. Andre Esteva & Brett Kuprel & Roberto A. Novoa & Justin Ko & Susan M. Swetter & Helen M. Blau & Sebastian Thrun, 2017. "Dermatologist-level classification of skin cancer with deep neural networks," Nature, Nature, vol. 542(7639), pages 115-118, February.
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