Naumovska Magdalena, Merdasa Aboma, Hammar Björn, Albinsson John, Dahlstrand Ulf, Cinthio Magnus, Sheikh Rafi, Malmsjö Malin
Department of Clinical Sciences Lund, Ophthalmology, Lund University, Skåne University Hospital, Lund, Sweden.
Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden.
Photoacoustics. 2022 Jul 4;27:100384. doi: 10.1016/j.pacs.2022.100384. eCollection 2022 Sep.
Photoacoustic (PA) imaging is rapidly emerging as a promising clinical diagnostic tool. One of the main applications of PA imaging is to image vascular networks in humans. This relies on the signal obtained from oxygenated and deoxygenated hemoglobin, which limits imaging of the vessel wall itself. Giant cell arteritis (GCA) is a treatable, but potentially sight- and life-threatening disease, in which the artery wall is infiltrated by leukocytes. Early intervention can prevent complications making prompt diagnosis of importance. Temporal artery biopsy is the gold standard for diagnosing GCA. We present an approach to imaging the temporal artery using multispectral PA imaging. Employing minimally supervised spectral analysis, we produce histology-like images where the artery wall is clearly discernible from the lumen and further differentiate between PA spectra from biopsies diagnosed as GCA- and GCA+ in 77 patients.
光声(PA)成像正迅速成为一种很有前景的临床诊断工具。PA成像的主要应用之一是对人体血管网络进行成像。这依赖于从氧合血红蛋白和脱氧血红蛋白获得的信号,这限制了对血管壁本身的成像。巨细胞动脉炎(GCA)是一种可治疗但可能危及视力和生命的疾病,其中动脉壁会被白细胞浸润。早期干预可以预防并发症,因此及时诊断至关重要。颞动脉活检是诊断GCA的金标准。我们提出了一种使用多光谱PA成像对颞动脉进行成像的方法。采用最小监督光谱分析,我们生成了类似组织学的图像,其中血管壁与管腔清晰可辨,并进一步区分了77例经活检诊断为GCA-和GCA+的患者的PA光谱。