Computed tomography features predicting aggressiveness of malignant parenchymal renal tumors suitable for partial nephrectomy.


Journal

Minerva urology and nephrology
ISSN: 2724-6442
Titre abrégé: Minerva Urol Nephrol
Pays: Italy
ID NLM: 101777299

Informations de publication

Date de publication:
02 2021
Historique:
pubmed: 18 11 2020
medline: 14 7 2021
entrez: 17 11 2020
Statut: ppublish

Résumé

The aim of this study was to identify and standardize computed tomography (CT) features having a potential role in predicting aggressiveness of malignant parenchymal renal tumors suitable for partial nephrectomy (PN). We performed a non-systematic review of the recent literature to evaluate the potential impact of CT variables proposed by the Society of Abdominal Radiology Disease-Focused Panel on Renal Cell Carcinoma in predicting aggressiveness of newly diagnosed malignant parenchymal renal tumors. The analyzed variables were clinical tumor size, tumor growth rate, enhancement characteristics, amount of cystic component, polar and capsular location, tumor margins and distance between tumor and renal sinus. Unfavorable behavior was defined as: 1) renal cell carcinoma (RCC) with stage ≥pT3; 2) nuclear grade 3 or 4; 3) presence of sarcomatoid de-differentiation; or 4) non-clear cell subtypes with unfavorable prognosis (type 2 papillary RCC, collecting duct or renal medullary carcinoma, unclassified RCC). Beyond clinical tumor size, tumor growth rate, enhancement characteristics, amount of cystic component, tumor margins and distance between tumor and renal sinus are highly relevant features predicting an unfavorable behavior. Moreover, several studies supported the role of necrosis as preoperative predictor of tumor aggressiveness. Peritumoral and intratumoral vasculature as well as capsule status are emerging variables that need to be further evaluated. Tumor size, enhancement characteristics, tumor margins and distance to the renal sinus are highly relevant CT features predicting biological aggressiveness of malignant parenchymal renal tumors. Combination of these parameters might be useful to generate tools to predict the unfavorable behavior of renal tumors suitable for PN.

Identifiants

pubmed: 33200903
pii: S0393-2249.20.04073-4
doi: 10.23736/S2724-6051.20.04073-4
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

17-31

Auteurs

Vincenzo Ficarra (V)

Unit of Urology, Department of Human and Pediatric Pathology "Gaetano Barresi", G. Martino University Hospital, University of Messina, Messina, Italy - vficarra@unime.it.

Simona Caloggero (S)

Department of Radiology, University of Messina, Messina, Italy.

Marta Rossanese (M)

Unit of Urology, Department of Human and Pediatric Pathology "Gaetano Barresi", G. Martino University Hospital, University of Messina, Messina, Italy.

Gianluca Giannarini (G)

Unit of Urology, Academic Medical Center "Santa Maria della Misericordia", Udine, Italy.

Alessandro Crestani (A)

Oncological Urology, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy.

Giorgio Ascenti (G)

Department of Radiology, University of Messina, Messina, Italy.

Giacomo Novara (G)

Unit of Urology, Department of Oncological, Surgical and Gastrointestinal Sciences, University of Padua, Padua, Italy.

Francesco Porpiglia (F)

Division of Urology, Department of Oncology, San Luigi Gonzaga Hospital, University of Turin, Orbassano, Turin, Italy.

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Classifications MeSH