PuSH - Publication Server of Helmholtz Zentrum München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Nitkunanantharajah, S. ; Haedicke, K.* ; Moore, T.B.* ; Manning, J.B.* ; Dinsdale, G.* ; Berks, M.* ; Taylor, C.* ; Dickinson, M.R.* ; Jüstel, D. ; Ntziachristos, V. ; Herrick, A.L.* ; Murray, A.K.*

Three-dimensional optoacoustic imaging of nailfold capillaries in systemic sclerosis and its potential for disease differentiation using deep learning.

Sci. Rep. 10:16444 (2020)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
The autoimmune disease systemic sclerosis (SSc) causes microvascular changes that can be easily observed cutaneously at the finger nailfold. Optoacoustic imaging (OAI), a combination of optical and ultrasound imaging, specifically raster-scanning optoacoustic mesoscopy (RSOM), offers a noninvasive high-resolution 3D visualization of capillaries allowing for a better view of microvascular changes and an extraction of volumetric measures. In this study, nailfold capillaries of patients with SSc and healthy controls are imaged and compared with each other for the first time using OAI. The nailfolds of 23 patients with SSc and 19 controls were imaged using RSOM. The acquired images were qualitatively compared to images from state-of-the-art imaging tools for SSc, dermoscopy and high magnification capillaroscopy. The vascular volume in the nailfold capillaries were computed from the RSOM images. The vascular volumes differ significantly between both cohorts (0.216 +/- 0.085 mm(3) and 0.337 +/- 0.110 mm(3); p < 0.0005). In addition, an artificial neural network was trained to automatically differentiate nailfold images from both cohorts to further assess whether OAI is sensitive enough to visualize anatomical differences in the capillaries between the two cohorts. Using transfer learning, the model classifies images with an area under the ROC curve of 0.897, and a sensitivity of 0.783 and specificity of 0.895. In conclusion, this study demonstrates the capabilities of RSOM as an imaging tool for SSc and establishes it as a modality that facilitates more in-depth studies into the disease mechanisms and progression.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
3.998
1.365
5
7
Tags
Annotations
Special Publikation
Hide on homepage

Edit extra information
Edit own tags
Private
Edit own annotation
Private
Hide on publication lists
on hompage
Mark as special
publikation
Publication type Article: Journal article
Document type Scientific Article
Keywords Videocapillaroscopy
Language english
Publication Year 2020
HGF-reported in Year 2020
ISSN (print) / ISBN 2045-2322
e-ISSN 2045-2322
Journal Scientific Reports
Quellenangaben Volume: 10, Issue: 1, Pages: , Article Number: 16444 Supplement: ,
Publisher Nature Publishing Group
Publishing Place London
Reviewing status Peer reviewed
Institute(s) Institute of Biological and Medical Imaging (IBMI)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-505500-001
Grants Helmholtz Association of German Research Centers, through the Initiative and Networking Fund, i3
European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme
Versus Arthritis
NIHR Manchester Biomedical Research Centre
University of Manchester
MRC Confidence in Concept
DOI 10.1038/s41598-020-73319-2
WOS ID WOS:000577283100004
Scopus ID 85091984178
PubMed ID 33020505
Erfassungsdatum 2020-11-12
[➜Report correction]