Photonics Group, Department of Physics, Imperial College London, South Kensington Campus, London, United Kingdom.
PLoS One. 2012;7(9):e43460. doi: 10.1371/journal.pone.0043460. Epub 2012 Sep 11.
We present the first detailed study using multispectral multiphoton fluorescence lifetime imaging to differentiate basal cell carcinoma cells (BCCs) from normal keratinocytes. Images were acquired from 19 freshly excised BCCs and 27 samples of normal skin (in & ex vivo). Features from fluorescence lifetime images were used to discriminate BCCs with a sensitivity/specificity of 79%/93% respectively. A mosaic of BCC fluorescence lifetime images covering >1 mm(2) is also presented, demonstrating the potential for tumour margin delineation. Using 10,462 manually segmented cells from the image data, we quantify the cellular morphology and spectroscopic differences between BCCs and normal skin for the first time. Statistically significant increases were found in the fluorescence lifetimes of cells from BCCs in all spectral channels, ranging from 19.9% (425-515 nm spectral emission) to 39.8% (620-655 nm emission). A discriminant analysis based diagnostic algorithm allowed the fraction of cells classified as malignant to be calculated for each patient. This yielded a receiver operator characteristic area under the curve for the detection of BCC of 0.83. We have used both morphological and spectroscopic parameters to discriminate BCC from normal skin, and provide a comprehensive base for how this technique could be used for BCC assessment in clinical practice.
我们首次利用多光谱多光子荧光寿命成像技术来区分基底细胞癌(BCC)细胞和正常角质形成细胞。从 19 个新鲜切除的 BCC 和 27 个正常皮肤样本(离体和体内)中采集了图像。使用荧光寿命图像的特征来区分 BCC,其灵敏度/特异性分别为 79%/93%。还展示了覆盖> 1mm²的 BCC 荧光寿命图像马赛克,显示了肿瘤边界描绘的潜力。使用图像数据中 10462 个手动分割的细胞,我们首次定量了 BCC 和正常皮肤之间的细胞形态和光谱差异。在所有光谱通道中,BCC 细胞的荧光寿命均显著增加,范围从 19.9%(425-515nm 光谱发射)到 39.8%(620-655nm 发射)。基于判别分析的诊断算法允许计算每个患者中被归类为恶性的细胞分数。这为 BCC 检测的接收者操作特征曲线下面积提供了 0.83 的值。我们已经使用形态学和光谱参数来区分 BCC 和正常皮肤,并为该技术如何在临床实践中用于 BCC 评估提供了全面的基础。