Evaluation of Frequency Domain Analysis of a Multiwavelength Photoacoustic Signal for Differentiating Malignant From Benign and Normal Prostates: Ex Vivo Study With Human Prostates.
Evaluation of Frequency Domain Analysis of a Multiwavelength Photoacoustic Signal for Differentiating Malignant From Benign and Normal Prostates: Ex Vivo Study With Human Prostates.
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DOI：
10.7863/ultra.15.09059
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发表时间：
2016-10
期刊：
影响因子：
--
通讯作者：
Dogra VS
中科院分区：
文献类型：
--
作者：
Sinha S;Rao NA;Chinni BK;Dogra VS
本研究的目的是通过对2个不同波长的光声图像进行频域分析，探讨鉴别前列腺癌与良性前列腺增生症(BPH)和正常前列腺组织的可行性。我们对新鲜切除的人前列腺癌标本进行了多波长光声成像，这些标本取自30名因前列腺癌而接受前列腺切除术的患者。由泌尿生殖病理学家标记的组织切片被用作基本事实，以确定光声图像中的感兴趣区域(ROI)。首先考虑了3种不同的前列腺组织类型，即恶性、BPH和正常组织，而将BPH对应的感兴趣区和正常组织组合在一起形成了第四种类型的非恶性前列腺组织。我们从对应于3个主要组织类别的射频光声信号的功率谱中提取了3个光谱参数，即斜率、中带拟合和截距。我们分析了从30名患者的光声图像中选择的53个感兴趣区的数据。根据组织病理学分析，恶性病变19例，良性前列腺增生症8例，正常病变26例。3种光谱参数和C扫描灰阶光声像素值在前列腺癌与非前列腺癌、前列腺癌与正常前列腺之间均有显著差异(P<；.01)。我们的体外人体前列腺研究的初步结果表明，通过对光声信号进行频域分析获得的光谱参数可以用于区分恶性和非恶性前列腺。
The purpose of this study was to investigate the feasibility of differentiating malignant prostate from benign prostatic hyperplasia (BPH) and normal prostate tissue by performing frequency domain analysis of photoacoustic images acquired at 2 different wavelengths. We performed multiwavelength photoacoustic imaging on freshly excised human prostate specimens taken from a total of 30 patients undergoing prostatectomy for biopsy-confirmed prostate cancer. Histologic slides marked by a genitourinary pathologist were used as ground truth to define regions of interest (ROIs) in the photoacoustic images. Primarily, 3 different prostate tissue categories, namely malignant, BPH, and normal, were considered, while a fourth category named nonmalignant was formed by combining the ROIs corresponding to BPH and normal tissue together. We extracted 3 spectral parameters, namely slope, midband fit, and intercept, from power spectra of the radiofrequency photoacoustic signals corresponding to the 3 primary tissue categories. We analyzed data from 53 ROIs selected from the photoacoustic images of 30 patients. According to the histopathologic analysis, 19 ROIs were malignant, 8 were BPH, and 26 were normal. All the 3 spectral parameters and C-scan grayscale photo - acoustic image pixel values were found to be significantly different (P < .01) between malignant and nonmalignant prostate as well as malignant and normal prostate. Preliminary results of our ex vivo human prostate study suggest that spectral parameters obtained by performing frequency domain analysis of photoacoustic signals can be used to differentiate between malignant and nonmalignant prostate.
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影响因子：
0.9
作者：
Dogra VS;Chinni BK;Valluru KS;Joseph JV;Ghazi A;Yao JL;Evans K;Messing EM;Rao NA
通讯作者：
Rao NA
影响因子：
0.9
作者：
Valluru, Keerthi S.;Chinni, Bhargava K.;Rao, Navalgund A.
通讯作者：
Rao, Navalgund A.
影响因子：
3.5
作者：
Allen, Thomas J.;Hall, Andrew;Beard, Paul C.
通讯作者：
Beard, Paul C.
DOI：
10.1364/josaa.26.000443
发表时间：
2009-02-01
影响因子：
1.9
作者：
Cox, B. T.;Arridge, S. R.;Beard, P. C.
通讯作者：
Beard, P. C.
影响因子：
3.5
作者：
Laufer, J;Elwell, C;Beard, P
通讯作者：
Beard, P