Evidence map›Paper›PMID 31456017›Full record

ReviewWorld journal of urology2020

3D imaging applications for robotic urologic surgery: an ESUT YAUWP review.

Enrico Checcucci, Daniele Amparore, Cristian Fiori, Matteo Manfredi, Morra Ivano, Michele Di Dio, Gabriel Niculescu, Federico Piramide, Giovanni Cattaneo, Pietro Piazzolla and 3 more

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in World journal of urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06903260 (Robot-assisted Partial Nephrectomy With and Without Mixed Reality), which is not on this map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
–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.

NCT06903260 phase3completednot on this mapstarted 2022, after this paper: background citation

Robot-assisted Partial Nephrectomy With and Without Mixed Reality (REALITATEM Study)

TypeinterventionalSponsorHospital Moinhos de VentoRan2022 to 2024Enrolled45ConditionsKidney CancerArmsMixed Reality
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Visual extended reality tools in image-guided surgery in urology: a systematic review.European journal of nuclear medicine and molecular imaging · 2024
    Pooled it
  4. Robot-assisted Partial Nephrectomy with and without Mixed Reality - REALITATEM study.International braz j urol : official journal of the Brazilian Society of Urology
    Trial
  5. Article
  6. [Digital twins in uro-oncology].Urologie (Heidelberg, Germany) · 2026
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Robotic kidney transplantation.Nature reviews. Urology · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

13 authors.

Enrico CheccucciDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, Regione Gonzole 10,, 10043, Orbassano, Turin, Italy.
Daniele AmparoreDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, Regione Gonzole 10,, 10043, Orbassano, Turin, Italy.
Cristian FioriDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, Regione Gonzole 10,, 10043, Orbassano, Turin, Italy.
Matteo ManfrediDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, Regione Gonzole 10,, 10043, Orbassano, Turin, Italy.
Morra IvanoDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, Regione Gonzole 10,, 10043, Orbassano, Turin, Italy.
Michele Di DioDivision of Urology, Department of Surgery, Annunziata Hospital, Cosenza, Italy.
Gabriel NiculescuDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, Regione Gonzole 10,, 10043, Orbassano, Turin, Italy.
Federico PiramideDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, Regione Gonzole 10,, 10043, Orbassano, Turin, Italy.
Giovanni CattaneoDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, Regione Gonzole 10,, 10043, Orbassano, Turin, Italy.
Pietro PiazzollaDepartment of Management and Production Engineer, Polytechnic University of Turin, Turin, Italy.
Giovanni Enrico CacciamaniUSC Urology Institute, University of Southern California, Los Angeles, CA, USA.
Riccardo AutorinoDivision of Urology, VCU Health, Richmond, VA, USA.
Francesco PorpigliaDivision of Urology, Department of Oncology, School of Medicine, San Luigi Hospital, University of Turin, Regione Gonzole 10,, 10043, Orbassano, Turin, Italy. porpiglia@libero.it.ORCID http://orcid.org/0000-0001-8567-6795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextDespite the current era of precision surgery in robotics, an unmet need still remains for optimal surgical planning and navigation for most genitourinary diseases. 3D virtual reconstruction of 2D cross-sectional imaging has been increasingly adopted to help surgeons better understand the surgical anatomy.

objectivesTo provide a short overview of the most recent evidence on current applications of 3D imaging in robotic urologic surgery. 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 of 3D models in robotic urology. EVIDENCE SYNTHESIS: 3D reconstruction technology creates 3D virtual and printed models that first appeared in urology to aid surgical planning and intraoperative navigation, especially in the treatment of oncological diseases of the prostate and kidneys. The latest revolution in the field involves models overlapping onto the real anatomy and performing augmented reality procedures.

conclusion3D virtual/printing technology has entered daily practice in some tertiary centres, especially for the management of urological tumours. The 3D models can be virtual or printed, and can help the surgeon in surgical planning, physician education and training, and patient counselling. Moreover, integration of robotic platforms with the 3D models and the possibility of performing augmented reality surgeries increase the surgeon's confidence with the pathology, with potential benefits in precision and tailoring of the procedures.

Indexed as

Imaging, Three-DimensionalForecastingHumansRobotic Surgical ProceduresSurgery, Computer-AssistedUrologic Surgical Procedures3D printed modelsAugmented realityHA3DMixed realityRoboticsUrological malignancies

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.