Evidence map›Paper›PMID 34468886›Full record

ReviewWorld journal of urology2022

Percutaneous puncture during PCNL: new perspective for the future with virtual imaging guidance.

E Checcucci, D Amparore, G Volpi, F Piramide, S De Cillis, A Piana, P Alessio, P Verri, S Piscitello, B Carbonaro and 10 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Visual extended reality tools in image-guided surgery in urology: a systematic review.European journal of nuclear medicine and molecular imaging · 2024
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4 · The record

Corrections and comments

  • Commented on by
    2022
5 · Who and what money

Authors and funding

20 authors at 5 institutions in 6 countries.

E CheccucciDepartment of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale 142, km 3,95, 10060, Candiolo, Turin, Italy. checcu.e@hotmail.it.
D AmparoreDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
G VolpiDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
F PiramideDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
S De CillisDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
A PianaDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
P AlessioDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
P VerriDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
S PiscitelloDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
B CarbonaroDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
J MeziereDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
D ZamengoDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
A TsaturyanDepartment of Urology, University Hospital of Patras, Patras, Greece.
G CacciamaniUSC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
Juan Gomez RivasDepartment of Urology, La Paz University Hospital, Madrid, Spain.
S De LucaDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
M ManfrediDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
C FioriDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.
E LiatsikosDepartment of Urology, University Hospital of Patras, Patras, Greece.
F PorpigliaDepartment of Oncology, Division of Urology, University of Turin, Turin, Italy.ORCID http://orcid.org/0000-0001-8567-6795
University of Turin · ITGeneral University Hospital of Patras · GREuropean Association of Urology · NLHospital Universitario La Paz · ESUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextLarge and complex renal stones are usually treated with percutaneous nephrolithotomy (PCNL). One of the crucial steps in this procedure is the access to the collecting system with the percutaneous puncture and this maneuver leads to a risk of vascular and neighboring organs' injury. In the last years, the application of virtual image-guided surgery has gained wide diffusion even in this specific field.

objectivesTo provide a short overview of the most recent evidence on current applications of virtual imaging guidance for PCNL. EVIDENCE ACQUISITION: A non-systematic review of the literature was performed. Medline, PubMed, the Cochrane Database and Embase were screened for studies regarding the use virtual imaging guidance for PCNL. EVIDENCE SYNTHESIS: 3D virtual navigation technology for PCNL was first used in urology with the purpose of surgical training and surgical planning; subsequently, the field of surgical navigation with different modalities (from cognitive to augmented reality or mixed reality) had been explored. Finally, anecdotal preliminary experiences explored the potential application of artificial intelligence guidance for percutaneous puncture.

conclusionNowadays, many experiences proved the potential benefit of virtual guidance for surgical simulation and training. Focusing on surgery, this tool revealed to be useful both for surgical planning, allowed to achieve a better surgical performance, and for surgical navigation by using augmented reality and mixed reality systems aimed to assist the surgeon in real time during the intervention.

Indexed as

Augmented RealityKidney CalculiNephrolithotomy, PercutaneousArtificial IntelligenceHumansPunctures3DArtificial intelligenceAugmented realityKidney stonesPCNLVirtual imaging

Identifiers

PMID34468886
OpenAlexW3197661057

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.