Vannderbilt University, Vanderbilt Biophotonics Center, Department of Biomedical Engineering, Nashville, Tennessee, United States.
Vanderbilt University Medical Center, Department of Pathology, Microbiology, and Immunology, Nashville, Tennessee, United States.
J Biomed Opt. 2023 Oct;28(10):102907. doi: 10.1117/1.JBO.28.10.102907. Epub 2023 Aug 10.
Successful differentiation of carcinoma (CIS) from inflammation in the bladder is key to preventing unnecessary biopsies and enabling accurate therapeutic decisions. Current standard-of-care diagnostic imaging techniques lack the specificity needed to differentiate these states, leading to false positives.
We introduce multiparameter interferometric polarization-enhanced (MultiPIPE) imaging as a promising technology to improve the specificity of detection for better biopsy guidance and clinical outcomes.
In this study, we extract tissue attenuation-coefficient-based and birefringence-based parameters from MultiPIPE imaging data, collected with a bench-top system, to develop a classifier for the differentiation of benign and CIS tissues. We also analyze morphological features from second harmonic generation imaging and histology slides and perform imaging-to-morphology correlation analysis.
MultiPIPE enhances specificity to differentiate CIS from benign tissues by nearly 20% and reduces the false-positive rate by more than four-fold over clinical standards. We also show that the MultiPIPE measurements correlate well with changes in morphological features in histological assessments.
The results of our study show the promise of MultiPIPE imaging to be used for better differentiation of bladder inflammation from flat tumors, leading to a fewer number of unnecessary procedures and shorter operating room (OR) time.
成功区分膀胱癌(CIS)与膀胱炎症对于避免不必要的活检和做出准确的治疗决策至关重要。当前的标准护理诊断成像技术缺乏区分这些状态所需的特异性,导致假阳性。
我们介绍了多参数干涉偏振增强(MultiPIPE)成像技术,作为一种提高检测特异性的有前途的技术,以更好地指导活检和改善临床结果。
在这项研究中,我们从使用台式系统收集的 MultiPIPE 成像数据中提取基于组织衰减系数和双折射的参数,以开发用于区分良性和 CIS 组织的分类器。我们还分析来自二次谐波产生成像和组织学幻灯片的形态特征,并进行成像-形态相关性分析。
MultiPIPE 通过将近 20%的特异性增强,将 CIS 与良性组织区分开来,并且比临床标准降低了四倍以上的假阳性率。我们还表明,MultiPIPE 测量与组织学评估中形态特征的变化密切相关。
我们的研究结果表明,MultiPIPE 成像有希望用于更好地区分膀胱炎症与扁平肿瘤,从而减少不必要的程序和缩短手术室(OR)时间。