Evidence map›Paper›PMID 40692210›Full record

ArticleNeurourology and urodynamics2025

Toward Novel Targeted Therapy for Overactive Bladder: A Cadaver Study Identifying Critical Autonomic Nerve Structures.

Gamal Ghoniem, Mickey Karram, Muhammed A M Hammad

Abstract read
In one paragraph

Article in Neurourology and urodynamics, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Gamal GhoniemDepartment of Urology, University of California, Irvine, California, USA.ORCID https://orcid.org/0000-0002-9028-7783
Mickey KarramDivision of Urogynecology, The Christ Hospital, University of Cincinnati, Cincinnati, Ohio, USA.
Muhammed A M HammadDepartment of Urology, University of California, Irvine, California, USA.ORCID https://orcid.org/0000-0001-5396-1364

Funding

Institute for Clinical and Translational ScienceUM1TR004927 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI DAN M COOPER, Eric J. Vilain · 2024 to 2026
$12.2M
NCATS NIH HHS UM1 TR004927This work was supported by the unrestricted research grant from InMode.
6 · The paper itself

Abstract

INTRODUCTION AND

objectivesTargeted radiofrequency (RF) therapy is a promising treatment for overactive bladder (OAB), aiming to modulate autonomic nerve pathways for symptom control. This cadaveric study focuses on identifying areas of high nerve density in the bladder and corresponding vaginal wall (AVW) to support RF use in a minimally invasive fashion throughout the anterior vaginal wall.

methodsAVW samples were obtained from two cadaveric specimens (T1 & T2). Hematoxylin and eosin (H&E) staining was employed to assess anatomical structures, while S100 immunohistochemistry was used to visualize nerve distribution. Nerve size and density across the anterior and posterior bladder walls, along with the attached anterior vaginal wall were quantified using image analysis software. Statistical analyses, including one-way ANOVA and pairwise t-tests, were conducted to assess differences across different regions in the posterior bladder wall divided into: "Towards Vagina," "High nerve density" (HND), and "Towards Bladder" at 0-2.4 mm, 4.8-7.2 mm, and 7.2-9.6 mm in depth from the vaginal surface, respectively.

resultsH&E staining confirmed intact anatomy. S100 staining revealed areas of higher nerve density at the regions associated with posterior bladder wall compared to the anterior wall, especially at HND targeted at 4.8-7.2 mm deep from the vaginal surface. ANOVA revealed significant differences in nerve size (p = 0.0017 in T1, p = 0.0006 in T2) and density (p = 0.036 in T1, p = 0.0007 in T2) in the HND region compared to those of the other regions. Similarly, pairwise t-tests indicated statistically significant differences between the HND region and any other region in the posterior wall. The HND zone consistently displayed the largest nerves and highest density across both specimens.

conclusionsThis study highlights the importance of the HND zone, as a critical target for RF therapy and other neuromodulation-based management in OAB treatment. The identification of this high-innervation zone guides the precise application of RF energy and supports the use of targeted RF therapy delivered through the anterior vaginal wall, potentially improving therapeutic outcomes with a minimally invasive modality.

Indexed as

Autonomic PathwaysUrinary BladderUrinary Bladder, OveractiveVaginaAgedCadaverFemaleHumansImmunohistochemistryS100 ProteinsS100 Proteinsautonomic nerves for female genitourinary systemfemale neuroanatomyoveractive bladderradiofrequencysacral neuromodulationvaginal radiofrequency ablation

Identifiers

PMID40692210
PMCPMC12550349

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LicenceCC BY-NC-ND
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Registered trials

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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.