Evidence map›Paper›PMID 40271897›Full record

ReviewInternational journal of urology : official journal of the Japanese Urological Association2025

New Technology in Percutaneous Nephrolithotomy: Application of Navigation System, Robotics, Artificial Intelligence, and Suction Access Sheath.

Kazumi Taguchi, Heiko Yang, David B Bayne, Rei Unno, Shuzo Hamamoto, Thomas Chi, Takahiro Yasui

Abstract readReview
In one paragraph

Review in International journal of urology : official journal of the Japanese Urological Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

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

7 authors.

Kazumi TaguchiDepartment of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.ORCID https://orcid.org/0000-0002-3092-5114
Heiko YangDivision of Urology, Department of Surgery, University of Colorado School of Medicine, Aurora, Colorado, USA.
David B BayneDepartment of Urology, University of California San Francisco, San Francisco, California, USA.
Rei UnnoDepartment of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.ORCID https://orcid.org/0000-0003-0584-3712
Shuzo HamamotoDepartment of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.ORCID https://orcid.org/0000-0002-9087-4152
Thomas ChiDepartment of Urology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Takahiro YasuiDepartment of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.ORCID https://orcid.org/0000-0003-2197-2477

Funding

Japan Society for the Promotion of Science 22H00486Japan Society for the Promotion of Science 22K09455Japan Society for the Promotion of Science 23K08763Japan Society for the Promotion of Science 23K08765
6 · The paper itself

Abstract

In the dynamic field of urology, percutaneous nephrolithotomy is the gold standard procedure for treating large kidney stones and has greatly benefitted from technological advancements that improve its safety and efficacy. This review highlights significant innovations in percutaneous nephrolithotomy including integrated navigation systems, robotics, artificial intelligence, and suction access sheaths, each collectively providing greater precision and improved patient outcomes. Three-dimensional navigation systems offer unparalleled anatomical insights, facilitate more accurate targeting, and reduce intraoperative complications, as evidenced by studies demonstrating higher success rates and shorter operation times. Robotic advancements can further refine percutaneous nephrolithotomy by offering superior control and accuracy. Emerging technologies such as the automated needle targeting with X-ray and MONARCH platforms show the potential to reduce radiation exposure and improve procedural efficiency. Additionally, artificial intelligence in percutaneous nephrolithotomy is a novel tool for preoperative planning and outcome prediction, which can enhance decision-making and potentially lead to customized treatment strategies. Suction access sheaths represent another important innovation that facilitates stone removal and reduces the risk of postoperative complications. Integration of these technologies can improve how urologists perform percutaneous nephrolithotomy, and it highlights the benefit of ongoing research and development in the evolving field of kidney stone surgery. Through a comprehensive analysis of peer-reviewed studies, this manuscript delves into the advancements of the last 5 years, underscoring the transformative impact of these innovations on percutaneous nephrolithotomy and setting the stage for future developments in this critical field of urology.

Indexed as

Artificial IntelligenceKidney CalculiNephrolithotomy, PercutaneousRobotic Surgical ProceduresSurgical Navigation SystemsHumansPostoperative ComplicationsSuctionTreatment Outcomeartificial intelligenceinnovationspercutaneous nephrolithotomyrobotic advancementsurology

Identifiers

PMID40271897
PMCPMC12230907

What OpenQuestion holds

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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.