Role of blood oxygenation saturation in ovarian cancer diagnosis using multi-spectral photoacoustic tomography.
Role of blood oxygenation saturation in ovarian cancer diagnosis using multi-spectral photoacoustic tomography.
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DOI：
10.1002/jbio.202000368
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发表时间：
2021-04
影响因子：
2.8
通讯作者：
Zhu Q
中科院分区：
文献类型：
--
作者：
Amidi E;Yang G;Uddin KMS;Luo H;Middleton W;Powell M;Siegel C;Zhu Q
在光声层析成像（PAT）中，可调谐激光器通常以多个波长照射组织，并且接收到的光声波用于形成相对总血红蛋白（rHbT）和血氧饱和度（%sO2）的功能图像。由于测量误差，这些参数的估计可能具有挑战性，特别是在临床研究中。在这项研究中，我们使用多像素的方法来平滑测量之前计算rHbT和%sO2。我们首先使用校准的% sO2血管进行体模研究，以评估我们的%sO2估计的准确性。最后，我们提出的诊断结果，从PAT的33例患者的51个卵巢肿块成像我们的共同注册PAT和超声系统。将卵巢肿块分为恶性组和良性/正常组。利用这两组所有卵巢的PAT数据计算rHbT和%sO2的功能图及其直方图以及光谱特征。在显著特征的不同组合上训练支持向量机模型。通过结合平均%sO2、光谱特征和研究放射科医生的评分，在测试数据集上获得0.93（0.95%CI：0.90-0.96）的ROC（AUC）下面积。
In photoacoustic tomography (PAT), a tunable laser typically illuminates the tissue at multiple wavelengths, and the received photoacoustic waves are used to form functional images of relative total haemoglobin (rHbT) and blood oxygenation saturation (%sO2). Due to measurement errors, the estimation of these parameters can be challenging, especially in clinical studies. In this study, we use a multi-pixel method to smooth the measurements before calculating rHbT and %sO2. We first perform phantom studies using blood tubes of calibrated % sO2 to evaluate the accuracy of our %sO2 estimation. We conclude by presenting diagnostic results from PAT of 33 patients with 51 ovarian masses imaged by our co-registered PAT and ultrasound system. The ovarian masses were divided into malignant and benign/normal groups. Functional maps of rHbT and %sO2 and their histograms as well as spectral features were calculated using the PAT data from all ovaries in these two groups. Support vector machine models were trained on different combinations of the significant features. The area under ROC (AUC) of 0.93 (0.95%CI: 0.90–0.96) on the testing data set was achieved by combining mean %sO2, a spectral feature, and the score of the study radiologist.
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