Evidence map›Paper›PMID 40635415›Full record

ArticleInternational neurourology journal2025

Advancing Bladder Health Diagnostics: The Potential of Optical Techniques for Noninvasive Assessment of Lower Urinary Tract Disorders.

Jeonghun Kim, Bryan Keemin Kim, Christian Crouzet, Thinh Phan, Bernard Choi, Aram Kim

Abstract read
In one paragraph

Article in International neurourology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jeonghun KimDepartment of Biomedical Engineering, School of Medicine, Dankook University, Chenoan, Korea.
Bryan Keemin KimMEDiThings Co., Ltd., Seoul, Korea.
Christian CrouzetBeckman Laser Institute, University of California, Irvine, CA, USA.
Thinh PhanBeckman Laser Institute, University of California, Irvine, CA, USA.
Bernard ChoiBeckman Laser Institute, University of California, Irvine, CA, USA.
Aram KimMEDiThings Co., Ltd., Seoul, Korea.

Funding

Konkuk University
6 · The paper itself

Abstract

purposeThis review evaluates the clinical utility of emerging optical techniques-specifically, near-infrared spectroscopy (NIRS), optical coherence tomography (OCT), photoacoustic imaging (PAI), and fiber-optic sensors (FOSs)-as noninvasive, patient-friendly modalities for diagnosing lower urinary tract dysfunction. We assess their potential integration into wearable systems for personalized urological care and propose a novel clinical pathway for their use.

methodsWe included published studies employing optical modalities to evaluate bladder function or pathology, focusing on diagnostic accuracy, feasibility, and patient-related outcomes. We also examined technical principles, diagnostic performance metrics (e.g., sensitivity, resolution, penetration), and clinical validation across optical modalities. A total of 40 articles met the final inclusion criteria.

resultsNIRS demonstrates >85% sensitivity for detecting detrusor overactivity in small-scale trials, with wearable devices enabling continuous bladder monitoring. OCT has been found to improve the detection of carcinoma in situ by up to 22% compared to white-light cystoscopy, although its shallow penetration (~2 mm) limits evaluation of deeper layers. PAI visualizes microvascular structures to depths of several centimeters, suggesting strong potential for noninvasive bladder tumor diagnosis. FOSs offer continuous intravesical pressure monitoring with reduced discomfort, although semi-invasive placement remains a limitation.

conclusionNoninvasive optical diagnostics offer a safer, more patient-friendly alternative to conventional cystoscopy and urodynamic studies. However, larger multicenter trials, cost-effectiveness analyses, and regulatory alignment are needed. Integrating these emerging modalities with telemedicine and artificial intelligence could transform bladder care into a continuous, home-based model.

Indexed as

Bladder dysfunctionLower urinary tract dysfunctionNoninvasiveOptical techniques

Identifiers

PMID40635415
PMCPMC12242174

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.