Foo Ken Y, Kennedy Kelsey M, Zilkens Renate, Allen Wes M, Fang Qi, Sanderson Rowan W, Anstie James, Dessauvagie Benjamin F, Latham Bruce, Saunders Christobel M, Chin Lixin, Kennedy Brendan F
BRITElab, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Australia.
The University of Western Australia, Perth, Australia.
Biomed Opt Express. 2021 Mar 1;12(3):1666-1682. doi: 10.1364/BOE.415888.
Intraoperative margin assessment is needed to reduce the re-excision rate of breast-conserving surgery. One possibility is optical palpation, a tactile imaging technique that maps stress (force applied across the tissue surface) as an indicator of tissue stiffness. Images (optical palpograms) are generated by compressing a transparent silicone layer on the tissue and measuring the layer deformation using optical coherence tomography (OCT). This paper reports, for the first time, the diagnostic accuracy of optical palpation in identifying tumor within 1 mm of the excised specimen boundary using an automated classifier. Optical palpograms from 154 regions of interest (ROIs) from 71 excised tumor specimens were obtained. An automated classifier was constructed to predict the ROI margin status by first choosing a circle diameter, then searching for a location within the ROI where the circle was ≥ 75% filled with high stress (indicating a positive margin). A range of circle diameters and stress thresholds, as well as the impact of filtering out non-dense tissue regions, were tested. Sensitivity and specificity were calculated by comparing the automated classifier results with the true margin status, determined from co-registered histology. 83.3% sensitivity and 86.2% specificity were achieved, compared to 69.0% sensitivity and 79.0% specificity obtained with OCT alone on the same dataset using human readers. Representative optical palpograms show that positive margins containing a range of cancer types tend to exhibit higher stress compared to negative margins. These results demonstrate the potential of optical palpation for margin assessment.
术中切缘评估对于降低保乳手术的再次切除率是必要的。一种可能性是光学触诊,这是一种触觉成像技术,它将应力(施加在组织表面的力)映射为组织硬度的指标。通过压缩组织上的透明硅胶层并使用光学相干断层扫描(OCT)测量层变形来生成图像(光学触诊图)。本文首次报告了使用自动分类器在识别切除标本边界1毫米内的肿瘤时光学触诊的诊断准确性。从71个切除的肿瘤标本的154个感兴趣区域(ROI)获得了光学触诊图。构建了一个自动分类器来预测ROI切缘状态,首先选择一个圆直径,然后在ROI内搜索圆内≥75%充满高应力(表示阳性切缘)的位置。测试了一系列圆直径和应力阈值,以及滤除非致密组织区域的影响。通过将自动分类器结果与根据共配准组织学确定的真实切缘状态进行比较来计算敏感性和特异性。获得了83.3%的敏感性和86.2%的特异性,而在同一数据集上使用人工阅片时,单独使用OCT获得的敏感性为69.0%,特异性为79.0%。代表性的光学触诊图表明,与阴性切缘相比,包含一系列癌症类型且切缘阳性的区域往往表现出更高的应力。这些结果证明了光学触诊在切缘评估方面的潜力。