Evidence map›Paper›PMID 35265865›Full record

ArticleEuropean urology open science2022

Identification of Recurrent Anatomical Clusters Using Three-dimensional Virtual Models for Complex Renal Tumors with an Imperative Indication for Nephron-sparing Surgery: New Technological Tools for Driving Decision-making.

Daniele Amparore, Federico Piramide, Angela Pecoraro, Paolo Verri, Enrico Checcucci, Sabrina De Cillis, Alberto Piana, Giovanni Busacca, Matteo Manfredi, Cristian Fiori and 1 more

Open access · goldAbstract read
In one paragraph

Article in European urology open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Daniele AmparoreDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Federico PiramideDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Angela PecoraroDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Paolo VerriDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Enrico CheccucciDepartment of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy.
Sabrina De CillisDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Alberto PianaDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Giovanni BusaccaDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Matteo ManfrediDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Cristian FioriDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Francesco PorpigliaDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.
Ospedale San Luigi Gonzaga · ITEuropean Association of Urology · NLUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Some renal tumors have an imperative indication for nephron-sparing surgery (NSS), such as in cases of chronic kidney disease and bilateral complex tumors. Objective: To demonstrate the degree to which three-dimensional virtual model (3DVM) assistance can be helpful in planning the surgical strategy for high-complexity renal masses with an imperative indication for NSS. Design setting and participants: Three patients with high-complexity renal masses with unusual anatomy and an imperative indication for NSS were prospectively selected across 2020 and 2021 at our institution. All patients underwent contrast-enhanced computed tomography from which a 3DVM was obtained. Surgical procedure: Robot-assisted partial nephrectomy with 3DVM augmented reality guidance. Measurements: Demographics and tumor-related features were recorded. Data for intraoperative, pathological, and functional assessments were collected for all three patients. Results and limitations: Two of the three patients harbored bilateral renal tumors. The third patient presented with a renal mass in the left kidney and contralateral renal hypoplasia (right-split renal function of 25%). All of the patients demonstrated similar anatomical and tumor features on 3DVMs, with potentially independent vascularization and drainage for the lower pole. In one patient the upper pole of the kidney was spared, exiting in a functionally excluded hydrocalyx, while in the other two cases the upper pole was removed together with the lesion. The spared portion of the kidney retained vascularization, as demonstrated by intraoperative ultrasound and indocyanine green injection. The small sample size and short follow-up are the main limitations of the study. Conclusions: 3DVMs, especially for complex renal masses with an imperative indication for NSS, allow planning of the surgical strategy on the basis of the anatomical characteristics of the organ in which the tumor is growing. Patient summary: Three-dimensional models help in defining the best surgical strategy for kidney tumors, especially for complex tumors that require surgery to spare as much of the kidney as possible.

Indexed as

Kidney cancerNephron-sparing surgeryRobotic surgerySurgical anatomyThree-dimensional imaging

Identifiers

PMID35265865
PMCPMC8898779
OpenAlexW4214814473

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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.