Karlas Angelos, Katsouli Nikoletta, Fasoula Nikolina-Alexia, Reidl Mario, Lees Rhiannon, Zang Lan, Carrillo Maria Del Pilar Ortega, Saicic Stefan, Schäffer Christoph, Hadjileontiadis Leontios, Branzan Daniela, Ntziachristos Vasilis, Eckstein Hans-Henning, Kallmayer Michael
Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine and Health, Technical University of Munich, Germany.
Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.
Photoacoustics. 2024 Oct 30;40:100660. doi: 10.1016/j.pacs.2024.100660. eCollection 2024 Dec.
Microvascular endothelial dysfunction may provide insights into systemic diseases, such as carotid artery disease. Raster-scan optoacoustic mesoscopy (RSOM) can produce images of skin microvasculature during endothelial dysfunction challenges via numerous microvascular features. Herein, RSOM was employed to image the microvasculature of 26 subjects (13 patients with single carotid artery disease, 13 healthy participants) to assess the dynamics of 18 microvascular features at three scales of detail, i.e., the micro- (<100 μm), meso- (≈100-1000 μm) and macroscale (<1000 μm), during post-occlusive reactive hyperemia challenges. The proposed analysis identified a subgroup of 9 features as the most relevant to carotid artery disease because they achieved the most efficient classification (AUC of 0.93) between the two groups in the first minute of hyperemia (sensitivity/specificity: 0.92/0.85). This approach provides a non-invasive solution to microvasculature quantification in carotid artery disease, a main form of cardiovascular disease, and further highlights the possible link between systemic disease and microvascular dysfunction.
微血管内皮功能障碍可能为深入了解全身性疾病(如颈动脉疾病)提供线索。光栅扫描光声显微镜(RSOM)可以通过众多微血管特征,在内皮功能障碍挑战期间生成皮肤微血管图像。在此,采用RSOM对26名受试者(13名单侧颈动脉疾病患者,13名健康参与者)的微血管进行成像,以评估在闭塞后反应性充血挑战期间,三个细节尺度(即微观尺度(<100μm)、中观尺度(≈100 - 1000μm)和宏观尺度(<1000μm))下18个微血管特征的动态变化。所提出的分析确定了一组9个特征作为与颈动脉疾病最相关的特征,因为它们在充血的第一分钟内在两组之间实现了最有效的分类(AUC为0.93)(敏感性/特异性:0.92/0.85)。这种方法为心血管疾病的主要形式——颈动脉疾病中的微血管定量提供了一种非侵入性解决方案,并进一步突出了全身性疾病与微血管功能障碍之间的可能联系。