Department of Urology, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands.
Cancer Center Amsterdam, Treatment and Quality of Life, Amsterdam, The Netherlands.
BJU Int. 2024 Dec;134(6):890-905. doi: 10.1111/bju.16471. Epub 2024 Jul 17.
To systematically assess the current available literature concerning advanced optical imaging methods for the detection and diagnosis of bladder cancer (BCa), focusing particularly on the sensitivity and specificity of these techniques.
First a scoping search was performed to identify all available optical techniques for BCa detection and diagnosis. The optical imaging techniques used for detecting BCa are: the Storz professional image enhancement system (IMAGE1 S), narrow-band imaging (NBI), photoacoustic imaging (PAI), autofluorescence imaging (AFI), photodynamic diagnosis (PDD), and scanning fibre endoscopy (SFE). The staging and grading techniques for BCa are: optical coherence tomography (OCT), confocal laser endomicroscopy (CLE), Raman spectroscopy, endocytoscopy, and non-linear optical microscopy (NLO). Then a systematic literature search was conducted using MEDLINE, EMBASE and Web of Science from inception to 21 November 2023. Articles were screened and selected by two independent reviewers. Inclusion criteria were: reporting on both the sensitivity and specificity of a particular technique and comparison to histopathology, and in the case of a detection technique comparison to white light cystoscopy (WLC).
Out of 6707 articles, 189 underwent full-text review, resulting in 52 inclusions. No articles met criteria for IMAGE1 S, PAI, SFE, Raman spectroscopy, and endocytoscopy. All detection techniques showed higher sensitivity than WLC, with NBI leading (87.8-100%). Overall, detection technique specificity was comparable to WLC, with PDD being most specific (23.3-100%). CLE and OCT varied in sensitivity and specificity, with OCT showing higher specificity for BCa diagnosis, notably for carcinoma in situ (97-99%) compared to CLE (62.5-81.3%). NLO demonstrated high sensitivity and specificity (90-97% and 77-100%, respectively) based on limited data from two small ex vivo studies.
Optical techniques with the most potential are PDD for detecting and OCT for staging and grading BCa. Further research is crucial to validate their integration into routine practice and explore the value of other imaging techniques.
系统评估当前有关膀胱癌(BCa)检测和诊断的先进光学成像方法的现有文献,特别关注这些技术的敏感性和特异性。
首先进行了范围搜索,以确定用于检测和诊断 BCa 的所有可用光学技术。用于检测 BCa 的光学成像技术包括:STORZ 专业图像增强系统(IMAGE1 S)、窄带成像(NBI)、光声成像(PAI)、自发荧光成像(AFI)、光动力诊断(PDD)和扫描纤维内窥镜(SFE)。BCa 的分期和分级技术包括:光学相干断层扫描(OCT)、共聚焦激光内窥镜检查(CLE)、拉曼光谱、内视镜检查和非线性光学显微镜(NLO)。然后,使用 MEDLINE、EMBASE 和 Web of Science 从创建到 2023 年 11 月 21 日进行了系统的文献搜索。由两名独立审查员筛选和选择文章。纳入标准是:报告特定技术的敏感性和特异性,以及与组织病理学的比较,以及在检测技术与白光膀胱镜检查(WLC)的比较中。
在 6707 篇文章中,有 189 篇进行了全文审查,最终有 52 篇纳入。没有一篇文章符合 IMAGE1 S、PAI、SFE、拉曼光谱和内视镜检查的标准。所有检测技术的敏感性均高于 WLC,NBI 最高(87.8-100%)。总体而言,检测技术的特异性与 WLC 相当,PDD 最具特异性(23.3-100%)。CLE 和 OCT 的敏感性和特异性不同,OCT 对膀胱癌诊断的特异性更高,特别是对原位癌(97-99%),而 CLE 为 62.5-81.3%。基于两项小型离体研究的有限数据,NLO 表现出高敏感性和特异性(分别为 90-97%和 77-100%)。
在检测方面最有潜力的光学技术是 PDD,在分期和分级方面最有潜力的是 OCT。进一步的研究对于验证其纳入常规实践的价值以及探索其他成像技术的价值至关重要。