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Vonk, J.* ; Kukacka, J. ; Steinkamp, P.J.* ; de Wit, J.G.* ; Voskuil, F.J.* ; Hooghiemstra, W.T.R.* ; Bader, M. ; Jüstel, D. ; Ntziachristos, V. ; van Dam, G.M.* ; Witjes, M.J.H.*

Multispectral optoacoustic tomography for in vivo detection of lymph node metastases in oral cancer patients using an EGFR-targeted contrast agent and intrinsic tissue contrast: A proof-of-concept study.

Photoacoustics 26:100362 (2022)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Oral cancer patients undergo diagnostic surgeries to detect occult lymph node metastases missed by preoperative structural imaging techniques. Reducing these invasive procedures that are associated with considerable morbidity, requires better preoperative detection. Multispectral optoacoustic tomography (MSOT) is a rapidly evolving imaging technique that may improve preoperative detection of (early-stage) lymph node metastases, enabling the identification of molecular changes that often precede structural changes in tumorigenesis. Here, we characterize the optoacoustic properties of cetuximab-800CW, a tumor-specific fluorescent tracer showing several photophysical properties that benefit optoacoustic signal generation. In this first clinical proof-of-concept study, we explore its use as optoacoustic to differentiate between malignant and benign lymph nodes. We characterize the appearance of malignant lymph nodes and show differences in the distribution of intrinsic chromophores compared to benign lymph nodes. In addition, we suggest several approaches to improve the efficiency of follow-up studies.
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Publication type Article: Journal article
Document type Scientific Article
Language english
Publication Year 2022
HGF-reported in Year 2022
ISSN (print) / ISBN 2213-5979
Journal Photoacoustics
Quellenangaben Volume: 26, Issue: , Pages: , Article Number: 100362 Supplement: ,
Publisher Elsevier
Reviewing status Peer reviewed
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-505500-001
G-503800-001
Grants Horizon 2020
Deutsche Forschungsgemeinschaft
European Research Council
Horizon 2020 Framework Programme
Scopus ID 85129495212
PubMed ID 35541024
Erfassungsdatum 2022-09-09