Frequency Domain Analysis of Multiwavelength Photoacoustic Signals for Differentiating Among Malignant, Benign, and Normal Thyroids in an Ex Vivo Study With Human Thyroids.
Frequency Domain Analysis of Multiwavelength Photoacoustic Signals for Differentiating Among Malignant, Benign, and Normal Thyroids in an Ex Vivo Study With Human Thyroids.
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DOI：
10.1002/jum.14259
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发表时间：
2017-10
期刊：
影响因子：
--
通讯作者：
Rao NA
中科院分区：
文献类型：
--
作者：
Sinha S;Dogra VS;Chinni BK;Rao NA
本研究探讨了光谱参数的能力，提取使用频域分析的光声（PA）信号，以区分恶性，良性和正常甲状腺组织。我们获得了多波长PA图像的新鲜切除的甲状腺标本，收集了50例甲状腺切除术后，被诊断为可疑的甲状腺病变。甲状腺细胞病理学家标记每个组织标本的组织学切片。这些标记的组织学切片用作基础事实，以识别对应于恶性、良性和正常甲状腺组织的感兴趣区域（ROI）。从对应于不同感兴趣区的PA信号中提取了斜率、中带拟合和截距三个谱参数。从总共65个ROI中提取光谱参数。根据真实情况，65个ROI中有12个属于恶性甲状腺，65个ROI中有28个属于良性甲状腺，65个ROI中有25个属于正常甲状腺。除斜率外，其他两个光谱参数和PA灰度图像像素值在甲状腺癌和正常甲状腺之间存在显著差异（p < 0.05）。甲状腺良性病变与正常甲状腺之间，所有三个光谱参数和PA像素值均存在显著差异（p < 0.05）。我们的体外人体甲状腺研究的初步结果表明，从射频PA信号提取的光谱参数以及二维PA图像的像素值可以用于区分恶性，良性和正常甲状腺组织。
This study investigated the capability of spectral parameters, extracted using frequency domain analysis of photoacoustic (PA) signals, to differentiate between malignant, benign and normal thyroid tissue. We acquired multiwavelength PA images of the freshly excised thyroid specimens, collected from 50 patients who underwent thyroidectomy after being diagnosed with suspected thyroid lesion. A thyroid cytopathologist marked histology slides of each tissue specimen. These marked histology slides were used as ground truth to identify the region of interests (ROI) corresponding to malignant, benign and normal thyroid tissue. Three spectral parameters, namely slope, midband fit and intercept were extracted from PA signals corresponding to different ROIs. Spectral parameters were extracted from a total of total of 65 ROIs. According to the ground truth, 12 out of 65 ROIs belonged to malignant thyroid, 28 out of 65 ROIs belonged to benign thyroid and 25 out of 65 ROIs belonged to normal thyroid. Besides slope, the other two spectral parameters and grayscale PA image pixel values were found to be significantly different (p < 0.05) between malignant and normal thyroid. Between benign and normal thyroid, all three spectral parameters and PA pixel values were significantly different (p < 0.05). Preliminary results of our ex vivo human thyroid study show that the spectral parameters extracted from radio frequency PA signals as well as the pixel value of 2D PA images can be used for differentiating between malignant, benign and normal thyroid tissue.
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DOI：
10.1158/1055-9965.epi-08-0960
发表时间：
2009-03
期刊：
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子：
--
作者：
Enewold L;Zhu K;Ron E;Marrogi AJ;Stojadinovic A;Peoples GE;Devesa SS
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发表时间：
2009-02-01
影响因子：
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