Literature DB >> 33200903

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

Vincenzo Ficarra1, Simona Caloggero2, Marta Rossanese3, Gianluca Giannarini4, Alessandro Crestani5, Giorgio Ascenti2, Giacomo Novara6, Francesco Porpiglia7.   

Abstract

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.

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Year:  2020        PMID: 33200903     DOI: 10.23736/S0393-2249.20.04073-4

Source DB:  PubMed          Journal:  Minerva Urol Nephrol        ISSN: 2724-6051


  3 in total

1.  Robotic partial nephrectomy in 3D virtual reconstructions era: is the paradigm changed?

Authors:  Enrico Checcucci; Francesco Porpiglia; Daniele Amparore; Federico Piramide; Sabrina De Cillis; Paolo Verri; Alberto Piana; Angela Pecoraro; Mariano Burgio; Matteo Manfredi; Umberto Carbonara; Michele Marchioni; Riccardo Campi; Cristian Fiori
Journal:  World J Urol       Date:  2022-02-22       Impact factor: 4.226

Review 2.  Biomarkers for Renal Cell Carcinoma Recurrence: State of the Art.

Authors:  Michele Marchioni; Juan Gomez Rivas; Anamaria Autran; Moises Socarras; Simone Albisinni; Matteo Ferro; Luigi Schips; Roberto Mario Scarpa; Rocco Papalia; Francesco Esperto
Journal:  Curr Urol Rep       Date:  2021-04-22       Impact factor: 3.092

3.  Three-dimensional imaging reconstruction of the kidney's anatomy for a tailored minimally invasive partial nephrectomy: A pilot study.

Authors:  Daniele Amparore; Angela Pecoraro; Federico Piramide; Paolo Verri; Enrico Checcucci; Sabrina De Cillis; Alberto Piana; Mariano Burgio; Michele Di Dio; Matteo Manfredi; Cristian Fiori; Francesco Porpiglia
Journal:  Asian J Urol       Date:  2022-06-20
  3 in total

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