University of California Davis, Department of Pathology and Laboratory Medicine, Sacramento, California, United States, United States.
University of California Davis, Department of Surgery, Sacramento, California, United States, United States.
J Biomed Opt. 2022 Sep;27(9). doi: 10.1117/1.JBO.27.9.095001.
Follicular thyroid carcinoma carries a substantially poor prognosis due to its unique biological behavior and less favorable outcomes. In particular, fine-needle aspiration (FNA) biopsies, which play a key role in screening thyroid nodules, cannot differentiate benign from malignant follicular neoplasm.
We report on the use of hyperspectral Raman microscopy in combination with chemometric analysis for identifying and classifying single cells obtained from clinical samples of human follicular thyroid neoplasms.
We used a method intended to simulate the FNA procedure to obtain single cells from thyroid nodules. A total of 392 hyperspectral Raman images of single cells from follicular thyroid neoplasms were collected.
Malignant cells were identified based on their intrinsic Raman spectral signatures with an overall diagnostic accuracy of up to 83.7%.
Our findings indicate that hyperspectral Raman microscopy can potentially be developed into an ancillary test for analyzing single cells from thyroid FNA biopsies to better stratify "indeterminate" nodules and other cytologically challenging cases.
滤泡状甲状腺癌由于其独特的生物学行为和较差的预后，其预后极差。特别是在筛选甲状腺结节中起着关键作用的细针抽吸（FNA）活检，无法区分良性和恶性滤泡性肿瘤。
我们报告了使用高光谱拉曼显微镜结合化学计量分析来识别和分类从人滤泡性甲状腺肿瘤临床样本中获得的单个细胞。
我们使用一种旨在模拟 FNA 程序的方法从甲状腺结节中获得单个细胞。共采集了 392 个滤泡性甲状腺肿瘤的单个细胞的高光谱拉曼图像。
根据恶性细胞的固有拉曼光谱特征，其总体诊断准确率高达 83.7%。
我们的研究结果表明，高光谱拉曼显微镜可能被开发成为一种辅助检测方法，用于分析甲状腺 FNA 活检中的单个细胞，以更好地对“不确定”结节和其他细胞学挑战性病例进行分层。
