Miura Katsutoshi, Yamamoto Seiji
Department of Health Science, Pathology and Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Medical Photonics Research Center, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Sci Rep. 2015 Oct 19;5:15243. doi: 10.1038/srep15243.
Scanning acoustic microscopy (SAM) discriminates lesions in sections by assessing the speed of sound (SOS) or attenuation of sound (AOS) through tissues within a few minutes without staining; however, its clinical use in cytological diagnosis is unknown. We applied a thin layer preparation method to observe benign and malignant effusions using SAM. Although SAM is inferior in detecting nuclear features than light microscopy, it can differentiate malignant from benign cells using the higher SOS and AOS values and large irregular cell clusters that are typical features of carcinomas. Moreover, each single malignant cell exhibits characteristic cytoplasmic features such as a large size, irregular borders and secretory or cytoskeletal content. By adjusting the observation range, malignant cells are differentiated from benign cells easily using SAM. Subtle changes in the functional and structural heterogeneity of tumour cells were pursuable with a different digital data of SAM. SAM can be a useful tool for screening malignant cells in effusions before light microscopic observation. Higher AOS values in malignant cells compared with those of benign cells support the feasibility of a novel sonodynamic therapy for malignant effusions.
扫描声学显微镜(SAM)通过在几分钟内评估声音在组织中的传播速度(SOS)或声音衰减(AOS)来区分切片中的病变,无需染色;然而,其在细胞学诊断中的临床应用尚不清楚。我们应用薄层制片方法,使用SAM观察良性和恶性积液。虽然SAM在检测核特征方面不如光学显微镜,但它可以利用较高的SOS和AOS值以及癌细胞典型特征的大的不规则细胞簇来区分恶性细胞和良性细胞。此外,每个单个恶性细胞都表现出特征性的细胞质特征,如体积大、边界不规则以及有分泌或细胞骨架成分。通过调整观察范围,使用SAM很容易将恶性细胞与良性细胞区分开来。利用SAM的不同数字数据可以追踪肿瘤细胞功能和结构异质性的细微变化。在光学显微镜观察之前,SAM可以作为一种有用的工具来筛查积液中的恶性细胞。与良性细胞相比,恶性细胞中较高的AOS值支持了一种针对恶性积液的新型声动力疗法的可行性。