Bringing blue light cystoscopy to the office: digital staining on matched white and blue light cystoscopy videos (Conference Presentation)

Chang, Shuang; Abbasi, Ali; Scarpato, Kristen R.; Luckenbaugh, Amy N.; Chang, Sam S.; Kolouri, Soheil; Bowden, Audrey K.

doi:10.1117/12.2649276

Cited by 3 publications

(2 citation statements)

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“…In an effort to facilitate clinical translation of the digital staining concept for bladder cancer detection, here we introduce the use of unpaired I2I translation 29 to perform the digital staining task. In so doing, we demonstrate the first use of machine learning to digitally stain WLC videos captured with standard-of-care clinical equipment (a Karl Storz Blue-light cystoscopy system with Cysview®) and transform them into BLC videos that accurately depict suspicious lesions.…”

Section: Introductionmentioning

confidence: 99%

“…In an initial proof-of-concept study on the feasibility of digital staining WLC data using a standard convolutional network, we showed successful style transfer from WLC to BLC. 26 Like most digital staining implementations, 22 however, the machine learning model used for that work (paired I2I translation) relied on the availability of near-perfectly registered source (WLC) and target (BLC) modality image pairs, which could only be acquired with a specialized research-grade system. 27 In real clinical scenarios using commercially available cystoscopy systems (e.g., KARL STORZ Photodynamic Diagnostic system), 28 WLC and BLC videos are collected sequentially (i.e., a manual switch is required to change from WLC mode to BLC mode).…”

Section: Introductionmentioning

confidence: 99%

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Low-Cost, Label-Free Blue Light Cystoscopy through Digital Staining of White Light Cystoscopy Videos

Chang,

Wintergerst,

Carlson

et al. 2024

Preprint

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Bladder cancer is 10th most common malignancy and carries the highest treatment cost among all cancers. The high cost of bladder cancer treatment 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 cost and lengthy administration time of the dye limits the availability of BLC for surveillance. Here, we report the first demonstration of digital staining on clinical endoscopy videos collected with standard-of-care clinical equipment to convert WLC images to accurate BLC-like images. We introduce key pre-processing steps to circumvent color and brightness variations in clinical datasets needed for successful model performance; the results show excellent qualitative and quantitative agreement of the digitally stained WLC (dsWLC) images with ground truth BLC images as measured through staining accuracy analysis and color consistency assessment. In short, dsWLC can provide the fluorescent contrast needed to improve the detection sensitivity of bladder cancer, thereby increasing the accessibility of BLC contrast for bladder cancer surveillance use without the cost and time burden associated with the dye and specialized equipment.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Low-Cost, Label-Free Blue Light Cystoscopy through Digital Staining of White Light Cystoscopy Videos

Chang,

Wintergerst,

Carlson

et al. 2024

Preprint

Self Cite

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Optimizing cystoscopy and TURBT: enhanced imaging and artificial intelligence

Shkolyar,

Zhou,

Carlson

et al. 2024

Nat Rev Urol

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Low-cost and label-free blue light cystoscopy through digital staining of white light cystoscopy videos

Chang,

Wintergerst,

Carlson

et al. 2024

Commun Med

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Background Bladder cancer is the 10 th 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. Methods 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. Results 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. Conclusions 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.

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Bringing blue light cystoscopy to the office: digital staining on matched white and blue light cystoscopy videos (Conference Presentation)

Cited by 3 publications

References 0 publications

Low-Cost, Label-Free Blue Light Cystoscopy through Digital Staining of White Light Cystoscopy Videos

Low-Cost, Label-Free Blue Light Cystoscopy through Digital Staining of White Light Cystoscopy Videos

Optimizing cystoscopy and TURBT: enhanced imaging and artificial intelligence

Low-cost and label-free blue light cystoscopy through digital staining of white light cystoscopy videos

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