Interpreting nephrometry scores with three-dimensional virtual modelling for better planning of robotic partial nephrectomy and predicting complications.
3D modeling
Nephrometry score
Partial nephrectomy
Postoperative complications
Renal cancer
Journal
Urologic oncology
ISSN: 1873-2496
Titre abrégé: Urol Oncol
Pays: United States
ID NLM: 9805460
Informations de publication
Date de publication:
12 2021
12 2021
Historique:
received:
16
03
2021
revised:
08
06
2021
accepted:
26
07
2021
pubmed:
19
9
2021
medline:
10
2
2022
entrez:
18
9
2021
Statut:
ppublish
Résumé
3D models are increasingly used as additional preoperative tools for renal surgery. We aim to evaluate the impact of 3D renal models in the assessment of PADUA, RENAL, Contact Surface Area (CSA) and Arterial Based Complexity (ABC) for the prediction of complications after Robot assisted Partial Nephrectomy (RAPN). Overall, 57 patients with T1 and 1 patient with T2 renal mass referred to RAPN, were prospectively enrolled. 3D virtual modelling was obtained from 2D computed tomography (CT). Two radiologists recorded PADUA PADUA Nephrometry scores calculated via 3D models predict complications after RAPN with higher accuracy than conventional 2D imaging.
Identifiants
pubmed: 34535356
pii: S1078-1439(21)00342-2
doi: 10.1016/j.urolonc.2021.07.024
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
836.e1-836.e9Informations de copyright
Copyright © 2021 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Conflict of interest None