Lu Huihui, Grygoryev Konstantin, Bermingham Niamh, Jansen Michael, O'Sullivan Michael, Nunan Gerard, Buckley Kevin, Manley Kevin, Burke Ray, Andersson-Engels Stefan
Biophotonics @ Tyndall, IPIC, Tyndall National Institute, University College Cork, Cork, Ireland.
Department of Neuropathology, Cork University Hospital, Cork, Ireland.
Biomed Opt Express. 2021 Mar 29;12(4):2432-2446. doi: 10.1364/BOE.420292. eCollection 2021 Apr 1.
This study was conducted to assess the potential of using a fibre optic probe system based on autofluorescence and diffuse reflectance for tissue differentiation in the brain. A total of 180 optical measurements were acquired from 28 brain specimens (five patients) with eight excitation and emission wavelengths spanning from 300 to 700 nm. Partial least square-linear discriminant analysis (PLS-LDA) was used for tissue discrimination. Leave-one-out cross validation (LOOCV) was then used to evaluate the performance of the classification model. Grey matter was differentiated from tumour tissue with sensitivity of 89.3% and specificity of 92.5%. The variable importance in projection (VIP) derived from the PLS regression was applied to wavelengths selection, and identified the biochemical sources of the detected signals. The initial results of the study were promising and point the way towards a cost-effective, miniaturized hand-held probe for real time and label-free surgical guidance.
本研究旨在评估基于自发荧光和漫反射的光纤探头系统用于脑内组织鉴别诊断的潜力。共从28个脑标本（5例患者）中采集了180次光学测量数据，激发和发射波长范围为300至700 nm，共8个波长。采用偏最小二乘线性判别分析（PLS-LDA）进行组织鉴别。然后采用留一法交叉验证（LOOCV）评估分类模型的性能。灰质与肿瘤组织的鉴别诊断灵敏度为89.3%，特异度为92.5%。将PLS回归得到的投影变量重要性（VIP）应用于波长选择，并确定检测信号的生化来源。该研究的初步结果很有前景，为开发一种经济高效、小型化的实时无标记手术引导手持式探头指明了方向。
