Three-dimensional Virtual Models' Assistance During Minimally Invasive Partial Nephrectomy Minimizes the Impairment of Kidney Function

Copyright © 2021 European Association of Urology. Published by Elsevier B.V. All rights reserved..

Three-dimensional virtual models (3DVMs) are nowadays under scrutiny to improve partial nephrectomy (PN) outcomes. This report aims to analyze their impact on renal function preservation after minimally invasive PN. A total of 100 patients treated with minimally invasive PN with contrast-enhanced computed tomography from which a 3DVM was obtained, and having undergone baseline and 3rd month postoperative renal scans were prospectively enrolled and compared with a control group of 251 patients without 3DVMs. Weighted differential of pre- and postoperative renal scan-based effective renal plasmatic flow (b-WD ERPF) was calculated, according to the availability of 3DVMs and PADUA risk category. Multivariable logistic regression (MLR) models predicting a significant loss of renal function (LORF; ERPF drop >20%) were performed, overall and according to PADUA risk categories. The b-WD ERPF of the 3DVM group showed significantly lower LORF (-10%) than that of the control group (-19.6%, p =  0.02). In MLR, the availability of a 3DVM was found to be the only protective factor against a significant LORF (odds ratio [OR] = 0.3, p =  0.002). Moreover, after stratification as per tumor surgical complexity, this protective role was observed in both PADUA 8-9 and ≥10 category risk patients (OR = 0.3, p =  0.03 and OR = 0.1, p =  0.01). PATIENT SUMMARY: The drop in operated kidney function was significantly lower in surgeries assisted by three-dimensional virtual models (3VDMs), indicating that the availability of a 3VDM is the only protective factor against a significant functional damage.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:5

Enthalten in:

European urology oncology - 5(2022), 1 vom: 20. Feb., Seite 104-108

Sprache:

Englisch

Beteiligte Personen:

Amparore, Daniele [VerfasserIn]
Pecoraro, Angela [VerfasserIn]
Checcucci, Enrico [VerfasserIn]
Piramide, Federico [VerfasserIn]
Verri, Paolo [VerfasserIn]
De Cillis, Sabrina [VerfasserIn]
Granato, Stefano [VerfasserIn]
Angusti, Tiziana [VerfasserIn]
Solitro, Federica [VerfasserIn]
Veltri, Andrea [VerfasserIn]
Fiori, Cristian [VerfasserIn]
Porpiglia, Francesco [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Kidney cancer
Laparoscopy
Nephron-sparing surgery
Robotic surgery
Three-dimensional imaging

Anmerkungen:

Date Completed 04.05.2022

Date Revised 04.05.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.euo.2021.04.001

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM324565623