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Multispectral Photoacoustic Assessment of Thyroid Cancer Nodules In Vivo

机译:甲状腺癌结节体内多光谱光声评估。

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Thyroid cancer is one of the most commonly diagnosed cancers in the world. Ultrasonography and fine-needle aspirationbiopsy are the typical standard-of-care method for diagnosing thyroid nodules. However, about 20% of fine-needleaspiration biopsies generate undeterminable results, which can lead to overdiagnosis and overtreatment. In this study, wepropose photoacoustic imaging as an additional triaging tool for identifying cancerous nodules in vivo. We enrolled andphotoacoustically imaged 28 patients (19 malignant and 9 benign) who have thyroid nodules. To perform multispectralanalysis, we used a series of 5 different wavelengths (i.e., 700, 756, 796, 866, and 900 nm), which were selected basedon the optical absorption property of oxy- and deoxy-hemoglobin. All the raw data were automatically stored for furtheroff-line processing, while the corresponding images were visualized on the clinical ultrasound machine in real-time. Byusing the multispectral photoacoustic data, we calculated the oxygen saturation values of the nodule areas. The resultshowed that the oxygen saturation level of malignant nodules was lower than that of benign nodules (p < 0.005), whichmatched with the well-known property of cancerous nodules. Based on the oxygen saturation value, malignant andbenign nodules were differentiable with a sensitivity of 80% and specificity of 89%. The result showed the greatpotential of multispectral photoacoustic analysis as a novel method to identify malignancy of thyroid nodules in vivo. Wealso verified the robustness of the result by testing reproducibility and comparing inter-physician interpretation.
机译:甲状腺癌是世界上最常见的癌症之一。超声波和微针展示 活检是诊断甲状腺结节的典型支柱方法。但是,大约20%的细针 吸入活检产生不可确定的结果,这可能导致过度输入和过度处理。在这项研究中,我们 提出光声成像作为额外的三环工具,用于鉴定体内癌细胞的癌细胞。我们注册了 具有甲状腺结节的光声成像28名患者(19名恶性和9名良性)。执行多光谱 分析,我们使用了一系列5种不同的波长(即700,756,796,866和900nm),其基于选择 氧和脱氧血红蛋白的光学吸收性能。所有原始数据都会自动存储进一步 离线处理,而实时在临床超声波机上可视化相应的图像。经过 使用多光谱光声数据,我们计算了结节区域的氧饱和度值。结果 表明,恶性结节的氧饱和水平低于良性结节(P <0.005), 与癌细胞的着名性质相匹配。基于氧气饱和值,恶性和 良性结节对敏感性为80%,特异性为89%。结果表明了很棒 多光谱光声分析作为鉴定体内甲状腺结节恶性肿瘤的新方法。我们 通过测试再现性并进行比较医生诠释,还通过测试结果验证了鲁棒性。

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