| Literature DB >> 32134550 |
Angelos Karlas1,2,3,4, Michael Kallmayer3, Nikolina-Alexia Fasoula1,2, Evangelos Liapis1,2, Michail Bariotakis1,2, Markus Krönke5, Maria Anastasopoulou1,2, Josefine Reber1,2, Hans-Henning Eckstein3,4, Vasilis Ntziachristos1,2,4.
Abstract
Perfusion and oxygenation are critical parameters of muscle metabolism in health and disease. They have been both the target of many studies, in particular using near-infrared spectroscopy (NIRS). However, difficulties with quantifying NIRS signals have limited a wide dissemination of the method to the clinics. Our aim was to investigate whether clinical multispectral optoacoustic tomography (MSOT) could enable the label-free imaging of muscle perfusion and oxygenation under clinically relevant challenges: the arterial and venous occlusion. We employed a hybrid clinical MSOT/ultrasound system equipped with a hand-held scanning probe to visualize hemodynamic and oxygenation changes in skeletal muscle under arterial and venous occlusions. Four (N = 4) healthy volunteers were scanned over the forearm for both 3-minute occlusion challenges. MSOT-recorded pathophysiologically expected results during tests of disturbed blood flow with high resolution and without the need for contrast agents. During arterial occlusion, MSOT-extracted Hb-values showed an increase, while HbO2 - and total blood volume (TBV)-values remained roughly steady, followed by a discrete increase during the hyperemic period after cuff deflation. During venous occlusion, results showed a clear increase in intramuscular HbO2 , Hb and TBV within the segmented muscle area. MSOT was found to be capable of label-free non-invasive imaging of muscle hemodynamics and oxygenation under arterial and venous occlusion. We introduce herein MSOT as a novel modality for the assessment of vascular disorders characterized by disturbed blood flow, such as acute limb ischemia and venous thrombosis.Entities:
Keywords: ischemia; muscle metabolism; peripheral arterial disease; photoacoustics; thrombosis
Mesh:
Year: 2020 PMID: 32134550 DOI: 10.1002/jbio.201960169
Source DB: PubMed Journal: J Biophotonics ISSN: 1864-063X Impact factor: 3.207