Ganzleben Ingo, Klett Daniel, Hartz Wiebke, Götzfried Lisa, Vitali Francesco, Neurath Markus F, Waldner Maximilian J
Department of Medicine 1, University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany.
Ludwig-Demling-Center for Molecular Imaging, Department of Medicine 1, University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany.
Photoacoustics. 2022 Oct 12;28:100414. doi: 10.1016/j.pacs.2022.100414. eCollection 2022 Dec.
The immediate diagnosis of severe anemia is crucial for patient outcome. However, reliable non-invasive point-of-care diagnostic tools for e.g., ICU monitoring are currently lacking. Using an advanced Multispectral Optoacoustic Tomography (MSOT) research device, we first substantiated a strong positive correlation of MSOT-signal and absolute hemoglobin concentration in blood samples. In a clinical exploratory proof-of-concept study, we then evaluated 19 patients with different severities of anemia and controls by non-invasive in vivo measurement of hemoglobin in the radial artery. Our approach proved excellent in identifying patients with severe anemia triggering RBC transfusion based on a strong positive correlation of MSOT-signal intensity and hemoglobin concentration for 700 nm single wavelength and HbR unmixed MSOT-parameter analysis. In conclusion, our study lays the foundation to further develop MSOT-based real-time quantitative perfusion analyses in follow-up preclinical and clinical imaging studies and as a promising diagnostic tool to improve patient care in the future. DRKS00021442.
重度贫血的即时诊断对患者的预后至关重要。然而,目前缺乏可靠的非侵入性即时护理诊断工具,例如用于重症监护病房监测的工具。使用先进的多光谱光声断层扫描(MSOT)研究设备,我们首先证实了血液样本中MSOT信号与绝对血红蛋白浓度之间存在强正相关。在一项临床探索性概念验证研究中,我们随后通过对桡动脉血红蛋白进行非侵入性体内测量,对19名不同严重程度的贫血患者和对照组进行了评估。基于700nm单波长的MSOT信号强度与血红蛋白浓度以及HbR未混合MSOT参数分析之间的强正相关,我们的方法在识别引发红细胞输血的重度贫血患者方面表现出色。总之,我们的研究为在后续的临床前和临床成像研究中进一步开发基于MSOT的实时定量灌注分析奠定了基础,并作为一种有前景的诊断工具,有望在未来改善患者护理。DRKS00021442。