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

Hailong He, Christine Schönmann, Mathias Schwarz, Benedikt Hindelang, Andrei Berezhnoi, Susanne Annette Steimle-Grauer, Ulf Darsow, Juan Aguirre and Vasilis Ntziachristos ()
Additional contact information
Hailong He: Institute of Biological and Medical Imaging, Helmholtz Zentrum München
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
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
Vasilis Ntziachristos: Institute of Biological and Medical Imaging, Helmholtz Zentrum München

Nature Communications, 2022, vol. 13, issue 1, 1-10

Abstract: 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.

Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-022-30471-9 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30471-9

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-022-30471-9

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().