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Improving Breast Cancer Diagnosis by Reducing Chest Wall Effect in Diffuse Optical Tomography

机译:通过减少弥漫性光学层析成像中的胸壁效应来改善乳腺癌的诊断

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We have developed ultrasound (US)-guided diffuse optical tomography (DOT) technique to assist US diagnosis of breast cancer and to predict neoadjuvant chemotherapy response of breast cancer patients. The technique was implemented using a hand-held hybrid probe consisting co-registered US transducer and optical source and detector fibers which couple the light illumination from laser diodes and photon detection to PMT detectors. With the US guidance, diffused light measurements were made at the breast lesion site and the normal contralateral reference site which was used to estimate the background tissue optical properties for imaging reconstruction. However, background optical properties were affected by the chest wall underneath the breast tissue. In this study, we have analyzed data from 297 female patients and results have shown statistical significant correlation between fitted optical properties (μ_a and μ_s') and the chest wall depth detected by a boundary detection algorithm applied to co-registered US images (r > 0.27, p < 1.0 × 10~(-4)). After subtracting the background total hemoglobin (tHb) computed with μ_a at each wavelength, the difference between malignant and benign lesion groups has improved. The Area-under-the- ROC curve (AUC) has improved from 88.5% to 91.5% (sensitivity improved from 85.0% to 87.5% and specificity from 90.2% to 92.6%). Statistical test has revealed significant difference of the AUC improvements after subtracting background tHb values.
机译:我们已经开发了超声(US)引导的漫射光学层析成像(DOT)技术,以协助美国对乳腺癌的诊断并预测乳腺癌患者的新辅助化疗反应。该技术是使用手持式混合探头实现的,该探头由共同注册的US换能器以及光源和检测器光纤组成,这些光纤将来自激光二极管和光子检测的光照射耦合到PMT检测器。在美国的指导下,在乳腺病变部位和正常对侧参考部位进行了散射光测量,这些散射光被用来估计用于成像重建的背景组织的光学特性。但是,背景光学特性受乳房组织下方的胸壁影响。在这项研究中,我们分析了297位女性患者的数据,结果显示,拟合的光学特性(μ_a和μ_s')与通过应用于共同注册的美国图像的边界检测算法检测到的胸壁深度之间存在统计学显着的相关性(r> 0.27,p <1.0×10〜(-4))。减去每个波长用μ_a计算的本底总血红蛋白(tHb)后,恶性病变组和良性病变组之间的差异有所改善。 ROC下面积曲线(AUC)从88.5%改善到91.5%(灵敏度从85.0%改善到87.5%,特异性从90.2%改善到92.6%)。统计测试显示,减去背景tHb值后,AUC的改善存在显着差异。

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