Nguyen M S, Salvado O, Roy D, Steyer G, Stone M E, Hoffman R D, Wilson D L
School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.
J Microsc. 2008 Dec;232(3):432-41. doi: 10.1111/j.1365-2818.2008.02138.x.
We characterized atherosclerotic plaque components with a novel cryo-imaging system in lieu of standard histological methods commonly used for imaging validation and research endpoints. We aim to accurately identify plaque tissue types from fresh cadaver specimens rapidly (less than 5 h) in three dimensions for large specimens (up to 4 cm vessel segments). A single-blind validation study was designed to determine sensitivity, specificity and inter-rater agreement (Fleiss' Kappa) of cryo-imaging tissue types with histology as the gold standard. Six naïve human raters identified 344 tissue type samples in 36 cryo-image sets after being trained. Tissue type sensitivities are as follows: greater than 90% for adventitia, media-related, smooth muscle cell ingrowth, external elastic lamina, internal elastic lamina, fibrosis, dense calcification and haemorrhage; greater than 80% for lipid and light calcification; and greater than 50% for cholesterol clefts. Specificities were greater than 95% for all tissue types. The results demonstrate convincingly that cryo-imaging can be used to accurately identify most tissue types. If the cryo-imaging data are entered into visualization software, three-dimensional renderings of the plaque can be generated to visualize and quantify plaque components.
我们使用一种新型冷冻成像系统对动脉粥样硬化斑块成分进行了表征,以替代常用于成像验证和研究终点的标准组织学方法。我们的目标是在三维空间中快速(少于5小时)从新鲜尸体标本中准确识别斑块组织类型,用于大型标本(长达4厘米的血管段)。设计了一项单盲验证研究,以组织学作为金标准来确定冷冻成像组织类型的敏感性、特异性和评分者间一致性(Fleiss' Kappa)。六名未经培训的人类评分者在接受培训后,从36个冷冻图像集中识别出344个组织类型样本。组织类型的敏感性如下:外膜、中膜相关、平滑肌细胞向内生长、外弹性膜、内弹性膜、纤维化、致密钙化和出血的敏感性大于90%;脂质和轻度钙化的敏感性大于80%;胆固醇裂隙的敏感性大于50%。所有组织类型的特异性均大于95%。结果令人信服地表明,冷冻成像可用于准确识别大多数组织类型。如果将冷冻成像数据输入可视化软件,就可以生成斑块的三维渲染图,以可视化和量化斑块成分。