Rice University, Department of Bioengineering, Houston, Texas, United States.
Baylor College of Medicine, MD/PhD Medical Scientist Training Program, Houston, Texas, United States.
J Biomed Opt. 2019 Feb;24(2):1-10. doi: 10.1117/1.JBO.24.2.025003.
Oral premalignant lesions (OPLs), such as leukoplakia, are at risk of malignant transformation to oral cancer. Clinicians can elect to biopsy OPLs and assess them for dysplasia, a marker of increased risk. However, it is challenging to decide which OPLs need a biopsy and to select a biopsy site. We developed a multimodal optical imaging system (MMIS) that fully integrates the acquisition, display, and analysis of macroscopic white-light (WL), autofluorescence (AF), and high-resolution microendoscopy (HRME) images to noninvasively evaluate OPLs. WL and AF images identify suspicious regions with high sensitivity, which are explored at higher resolution with the HRME to improve specificity. Key features include a heat map that delineates suspicious regions according to AF images, and real-time image analysis algorithms that predict pathologic diagnosis at imaged sites. Representative examples from ongoing studies of the MMIS demonstrate its ability to identify high-grade dysplasia in OPLs that are not clinically suspicious, and to avoid unnecessary biopsies of benign OPLs that are clinically suspicious. The MMIS successfully integrates optical imaging approaches (WL, AF, and HRME) at multiple scales for the noninvasive evaluation of OPLs.
口腔癌前病变(OPL),如白斑,有恶变为口腔癌的风险。临床医生可以选择对 OPL 进行活检,并评估其是否存在发育不良,这是增加风险的标志。然而,决定哪些 OPL 需要进行活检以及选择活检部位具有挑战性。我们开发了一种多模态光学成像系统(MMIS),该系统可完全集成宏观白光(WL)、自发荧光(AF)和高分辨率显微内镜(HRME)图像的采集、显示和分析,以非侵入性方式评估 OPL。WL 和 AF 图像以高灵敏度识别可疑区域,然后使用 HRME 以更高的分辨率进行探索,以提高特异性。关键功能包括根据 AF 图像描绘可疑区域的热图,以及实时图像分析算法,可预测所成像部位的病理诊断。正在进行的 MMIS 研究中的代表性实例证明了它能够识别临床上不怀疑的 OPL 中的高级别发育不良,并避免对临床上怀疑的良性 OPL 进行不必要的活检。MMIS 成功地整合了多种光学成像方法(WL、AF 和 HRME),可对 OPL 进行非侵入性评估。