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Noninvasive multiparametric charac-terization of mammary tumors with transmission-reflection optoacoustic ultrasound.
Neoplasia 22, 770-777 (2020)
Development of imaging methods capable of furnishing tumor-specific morphological, functional, and molecular information is paramount for early diagnosis, staging, and treatment of breast cancer. Ultrasound (US) and optoacoustic (OA) imaging methods exhibit excellent traits for tumor imaging in terms of fast imaging speed, ease of use, excellent contrast, and lack of ionizing radiation. Here, we demonstrate simultaneous tomographic whole body imaging of optical absorption, US reflectivity, and speed of sound (SoS) in living mice. In vivo studies of 4T1 breast cancer xenografts models revealed synergistic and complementary value of the hybrid imaging approach for characterizing mammary tumors. While neovasculature surrounding the tumor areas were observed based on the vascular anatomy contrast provided by the OA data, the tumor boundaries could be discerned by segmenting hypoechoic structures in pulse-echo US images. Tumor delineation was further facilitated by enhancing the contrast and spatial resolution of the SoS maps with a full-wave inversion method. The malignant lesions could thus be distinguished from other hypoechoic regions based on the average SoS values. The reported findings corroborate the strong potential of the hybrid imaging approach for advancing cancer research in small animal models and fostering development of new clinical diagnostic approaches.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Cancer Research ; Optoacoustic Imaging ; Photoacoustics ; Preclinical Imaging Of Tumors ; Speed Of Sound Imaging ; Ultrasound Computed Tomography; Tomography; Reconstruction; Attenuation; Speed
Language
english
Publication Year
2020
HGF-reported in Year
2020
ISSN (print) / ISBN
1522-8002
e-ISSN
1476-5586
Quellenangaben
Volume: 22,
Issue: 12,
Pages: 770-777
Publisher
Neoplasia Press
Publishing Place
Ste 800, 230 Park Ave, New York, Ny 10169 Usa
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-505590-001
Grants
Spanish Ministry of Science and Innovation
Swiss Data Science Center
German Research Foundation
Swiss Data Science Center
German Research Foundation
WOS ID
WOS:000594034700010
Scopus ID
85094809963
Erfassungsdatum
2020-11-12