Evidence map›Paper›PMID 39534001›Full record

ArticleAsian journal of urology2024

Hyper accuracy three-dimensional virtual anatomical rainbow model facilitates surgical planning and safe selective clamping during robot-assisted partial nephrectomy.

Francesco Ditonno, Antonio Franco, Celeste Manfredi, Daniele Amparore, Enrico Checcucci, Marco De Sio, Alessandro Antonelli, Cosimo De Nunzio, Cristian Fiori, Francesco Porpiglia and 1 more

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In one paragraph

Article in Asian journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Francesco DitonnoDepartment of Urology, Rush University, Chicago, IL, USA.
Antonio FrancoDepartment of Urology, Rush University, Chicago, IL, USA.
Celeste ManfrediDepartment of Urology, Rush University, Chicago, IL, USA.
Daniele AmparoreDivision of Urology, Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy.
Enrico CheccucciDivision of Urology, Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy.
Marco De SioUnit of Urology, Department of Woman, Child and General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Alessandro AntonelliDepartment of Urology, Azienda Ospedaliera Universitaria Integrata Verona, University of Verona, Verona, Italy.
Cosimo De NunzioDepartment of Urology, Sant'Andrea Hospital, Sapienza University, Rome, Italy.
Cristian FioriDivision of Urology, Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy.
Francesco PorpigliaDivision of Urology, Department of Oncology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy.
Riccardo AutorinoDepartment of Urology, Rush University, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To highlight the role of hyper accuracy three-dimensional (3D) reconstruction in facilitating surgical planning and guiding selective clamping during robot-assisted partial nephrectomy (RAPN). Methods: A transperitoneal RAPN was performed in a 62-year-old male patient presenting with a 4 cm right anterior interpolar renal mass (R.E.N.A.L nephrometry score 7A). An abnormal vasculature was observed, with a single renal vein and two right renal arteries originating superiorly to the vein and anterior, when dividing in their segmental branches. According to the hyper accuracy 3D (HA3D®) rainbow model (MEDICS Srl, Turin, Italy), one branch belonging to one of the segmental arteries was feeding the tumor. This allowed for an accurate prediction of the area vascularized by each arterial branch. The 3D model was included in the intraoperative console view during the whole procedure, using the TilePro feature. A step-by-step explanation of the procedure is provided in the video attached to the present article. Results: The operative time was 90 min with a warm ischemia time on selective clamping of 13 min. Estimated blood loss was 180 mL. No intraoperative complication was encountered and no drain was placed at the end of the procedure. The patient was discharged on postoperative Day 2, without any early postoperative complications. The final pathology report showed a pathological tumor stage 1 clear cell renal cell carcinoma with negative surgical margins. Conclusion: The present study and the attached video illustrate the value of 3D rainbow model during the planning and execution of a RAPN with selective clamping. It shows how the surgeon can rely on this model to be more efficient by avoiding unnecessary surgical steps, and to safely adopt a "selective" clamping strategy that can translate in minimal functional impact.

Indexed as

Augmented realityClear cell renal cell carcinomaHyper accuracy three-dimensional rainbow modelRobot-assisted partial nephrectomySelective clamping

Identifiers

PMID39534001
PMCPMC11551323

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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.