Wang Jianfeng, Xu Yang, Mesa Kelly J, South Fredrick A, Chaney Eric J, Spillman Darold R, Barkalifa Ronit, Marjanovic Marina, Carney P Scott, Higham Anna M, Liu Z George, Boppart Stephen A
Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Biomed Opt Express. 2018 Nov 28;9(12):6519-6528. doi: 10.1364/BOE.9.006519. eCollection 2018 Dec 1.
We report the development and implementation of an intraoperative polarization-sensitive optical coherence tomography (PS-OCT) system for enhancing breast cancer detection. A total of 3440 PS-OCT images were intraoperatively acquired from 9 human breast specimens diagnosed by H&E histology as healthy fibro-adipose tissue (n = 2), healthy stroma (n = 2), or invasive ductal carcinoma (IDC, n = 5). A standard OCT-based metric (coefficient of variation (CV)) and PS-OCT-based metrics sensitive to biological tissue from birefringence (i.e., retardation and degree of polarization uniformity (DOPU)) were derived from 398 statistically different and independent images selected by correlation coefficient analysis. We found the standard OCT-based metric and PS-OCT-based metrics were complementary for the differentiation of healthy fibro-adipose tissue, healthy stroma, and IDC. While the CV of fibro-adipose tissue was significantly higher (<0.001) than those of either stroma or IDC, the CV difference between stroma and IDC was minimal. On the other hand, stroma was associated with significantly higher (<0.001) retardation and significantly lower (<0.001) DOPU as compared to IDC. By leveraging the complementary information acquired by the intraoperative PS-OCT system, healthy fibro-adipose tissue, healthy stroma, and IDC can be differentiated with an accuracy of 89.4%, demonstrating the potential of PS-OCT as an adjunct modality for enhanced intraoperative differentiation of human breast cancer.
我们报告了一种用于增强乳腺癌检测的术中偏振敏感光学相干断层扫描（PS-OCT）系统的开发与应用。术中从9个人类乳腺标本中获取了总共3440张PS-OCT图像，这些标本经苏木精-伊红（H&E）组织学诊断为健康的纤维脂肪组织（n = 2）、健康的基质（n = 2）或浸润性导管癌（IDC，n = 5）。基于标准光学相干断层扫描（OCT）的指标（变异系数（CV））以及对生物组织双折射敏感的基于PS-OCT的指标（即相位延迟和偏振均匀度（DOPU）），是从通过相关系数分析选择的398张统计学上不同且独立的图像中得出的。我们发现基于标准OCT的指标和基于PS-OCT的指标在区分健康的纤维脂肪组织、健康的基质和IDC方面具有互补性。虽然纤维脂肪组织的CV显著高于基质或IDC（<0.001），但基质和IDC之间的CV差异最小。另一方面，与IDC相比，基质的相位延迟显著更高（<0.001），而DOPU显著更低（<0.001）。通过利用术中PS-OCT系统获取的互补信息，可以以89.4%的准确率区分健康的纤维脂肪组织、健康的基质和IDC，这表明PS-OCT作为一种辅助手段在增强人乳腺癌术中鉴别方面具有潜力。
