Evidence map›Paper›PMID 42436787›Full record

ArticleTranslational andrology and urology2026

Digital simulation of kidney collecting system and stone: geometry and texture mapping.

Nisan Korkmaz, Joshua Adam Mondshine, Sarvesh Saini, Julio Ojalvo, Archan Khandekar, Robert Marcovich, Hemendra N Shah, Ubbo Visser, Jonathan E Katz

Abstract read
In one paragraph

Article in Translational andrology and urology, 2026. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Nisan KorkmazDepartment of Computer Science, University of Miami, Coral Gables, FL, USA.
Joshua Adam MondshineDesai Sethi Urology Institute, Miller School of Medicine, University of Miami, Miami, FL, USA.ORCID https://orcid.org/0009-0006-3724-2697
Sarvesh SainiDepartment of Computer Science, University of Miami, Coral Gables, FL, USA.
Julio OjalvoDepartment of Computer Science, University of Miami, Coral Gables, FL, USA.
Archan KhandekarDesai Sethi Urology Institute, Miller School of Medicine, University of Miami, Miami, FL, USA.
Robert MarcovichDesai Sethi Urology Institute, Miller School of Medicine, University of Miami, Miami, FL, USA.
Hemendra N ShahDesai Sethi Urology Institute, Miller School of Medicine, University of Miami, Miami, FL, USA.
Ubbo VisserDepartment of Computer Science, University of Miami, Coral Gables, FL, USA.
Jonathan E KatzDesai Sethi Urology Institute, Miller School of Medicine, University of Miami, Miami, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital simulation is the first step in many, virtual reality, computer vision, and automation pipelines. However, to our knowledge, no open source highly realistic three-dimensional (3D) models of a kidney with a textured collecting system exists. Herein we describe our technique for rendering a high-fidelity digital shadow of the human kidney collecting system with kidney stone. Methods: Using medical imaging data, iterative 3D modeling, and advanced texture mapping, an anatomically accurate and visually realistic kidney collecting system was produced. Similarly, we generated calcium oxalate monohydrate (COM) and uric acid (UA) stones. The workflow included computed tomography (CT)-derived geometry correction, custom texture design and shader-based rendering. The structures were sent to twenty-three urologists who were given a Likert-rating scale to rate the fidelity of the renderings in terms of the kidney and stone, geometry and texture. Average, median and intraclass correlation coefficients (ICCs) for the responses were calculated to characterize the responses and reliability. Results: Fifteen urologists responded to each question. The simulated collecting system was generally evaluated as realistic {median 4 [interquartile range (IQR): 3, 5]}. UA stone texture was significantly more realistic than COM texture [median: 4 (IQR: 4, 5) Conclusions: This work addresses a key gap in realistic anatomical modeling for ureteroscopy, which may support improved training and potentially enable simulation of kidney stone removal procedures. While the simulation was evaluated favorably especially for the UA stone, there is room for improvement of the urothelial mucosa, and texture of the renal papillae, and COM stone.

Indexed as

Digital shadowkidney stone surgery simulationtexture mapping

Identifiers

PMID42436787
PMCPMC13355261

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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.