Chang Shuang, Wintergerst Greyson A, Carlson Camella, Yin Haoli, Scarpato Kristen R, Luckenbaugh Amy N, Chang Sam S, Kolouri Soheil, Bowden Audrey K
Vanderbilt University, Department of Biomedical Engineering, Nashville, TN, 37232, USA.
Vanderbilt University, Department of Computer Science, Nashville, TN, 37232, USA.
Commun Med (Lond). 2024 Dec 18;4(1):269. doi: 10.1038/s43856-024-00705-6.
Bladder cancer is the 10 most common malignancy and carries the highest treatment cost among all cancers. The elevated cost stems from its high recurrence rate, which necessitates frequent surveillance. White light cystoscopy (WLC), the standard of care surveillance tool to examine the bladder for lesions, has limited sensitivity for early-stage bladder cancer. Blue light cystoscopy (BLC) utilizes a fluorescent dye to induce contrast in cancerous regions, improving the sensitivity of detection by 43%. Nevertheless, the added equipment cost and lengthy dwell time of the dye limits the availability of BLC.
Here, we report the first demonstration of digital staining as a promising strategy to convert WLC images collected with standard-of-care clinical equipment into accurate BLC-like images, providing enhanced sensitivity for WLC without the associated labor or equipment cost.
By introducing key pre-processing steps to circumvent color and brightness variations in clinical datasets needed for successful model performance, the results achieve a staining accuracy of 80.58% and show excellent qualitative and quantitative agreement of the digitally stained WLC (dsWLC) images with ground truth BLC images, including color consistency.
In short, dsWLC can affordably provide the fluorescent contrast needed to improve the detection sensitivity of bladder cancer, thereby increasing the accessibility of BLC contrast for bladder cancer surveillance. The broader implications of this work suggest digital staining is a cost-effective alternative to contrast-based endoscopy for other clinical scenarios outside of urology that can democratize access to better healthcare.
膀胱癌是十大常见恶性肿瘤之一,在所有癌症中治疗成本最高。成本高昂源于其高复发率,这需要频繁监测。白光膀胱镜检查(WLC)是用于检查膀胱病变的标准护理监测工具,对早期膀胱癌的敏感性有限。蓝光膀胱镜检查(BLC)利用荧光染料在癌区产生对比度,将检测敏感性提高了43%。然而,额外的设备成本和染料的较长停留时间限制了BLC的可用性。
在此,我们首次展示了数字染色作为一种有前景的策略,可将使用标准护理临床设备收集的WLC图像转换为准确的类似BLC的图像,在不产生相关人工或设备成本的情况下提高WLC的敏感性。
通过引入关键的预处理步骤来规避成功模型性能所需临床数据集中的颜色和亮度变化,结果实现了80.58%的染色准确率,并且数字染色的WLC(dsWLC)图像与真实BLC图像在定性和定量上显示出极佳的一致性,包括颜色一致性。
简而言之,dsWLC能够以可承受的成本提供提高膀胱癌检测敏感性所需的荧光对比度,从而增加BLC对比度在膀胱癌监测中的可及性。这项工作的更广泛意义表明,数字染色是泌尿外科以外其他临床场景中基于对比的内镜检查的一种经济有效的替代方法,可以使人们更平等地获得更好的医疗保健。