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Photoacoustic analysis of thyroid cancer in vivo: A pilot study

机译:体内甲状腺癌的光声分析:一项初步研究

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Thyroid cancer is one of the most prevalent cancers. About 3-8% of the people in the United States have thyroid nodules, and 5-15% of these nodules are malignant. Fine-needle aspiration biopsy (FNAB) is a standard procedure to diagnose malignity of nodules. However, about 10-20% of FNABs produce indeterminable results, which leads to repeat biopsies and unnecessary surgical operations. We have explored photoacoustic (PA) imaging as a new method to identify cancerous nodules. In a pilot study to test its feasibility, we recruited patients with thyroid nodules (currently 36 cases with 21 malignant and 15 benign nodules), acquired in vivo PA and ultrasound (US) images of the nodules in real time using a recently-developed clinical PA/US imaging system, and analyzed the acquired data offline. The preliminary results show that malignant and benign nodules could be differentiated by utilizing their PA amplitudes at different excitation wavelengths. This is the first in vivo PA analysis of thyroid nodules. Although a larger-scale study is needed for statistical significance, the preliminary results show the good potential of PA imaging as a non-invasive tool for triaging thyroid cancer.
机译:甲状腺癌是最普遍的癌症之一。在美国,大约有3-8%的人患有甲状腺结节,而这些结节的5-15%是恶性的。细针穿刺活检(FNAB)是诊断结节恶性的标准程序。但是,约有10-20%的FNAB产生不确定的结果,这导致重复进行活检和不必要的手术操作。我们已经探索了光声(PA)成像作为一种识别癌性结节的新方法。在一项试验性试验中,我们测试了甲状腺结节患者(目前有36例恶性结节为21例,良性结节为15例),并使用最近开发的临床方法实时获取了结节的体内PA和超声(US)图像PA / US成像系统,并离线分析采集的数据。初步结果表明,可以通过利用它们在不同激发波长下的PA幅度来区分恶性和良性结节。这是甲状腺结节的首次体内PA分析。尽管需要进行大规模研究以取得统计学意义,但初步结果表明,PA成像作为对甲状腺癌进行分类的非侵入性工具具有良好的潜力。

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