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Incidence and Predicting Factors of Histopathological Features at Robot-Assisted Radical Prostatectomy in the mpMRI Era: Results of a Single Tertiary Referral Center

Background and Objectives: To describe the predictors of cribriform variant status and perineural invasion (PNI) in robot-assisted radical prostatectomy (RARP) histology. To define the rates of upgrading between biopsy specimens and final histology and their possible predictive factors in prostate c...

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Autores principales: Di Mauro, Ernesto, Di Bello, Francesco, Califano, Gianluigi, Morra, Simone, Creta, Massimiliano, Celentano, Giuseppe, Abate, Marco, Fraia, Agostino, Pezone, Gabriele, Marino, Claudio, Cilio, Simone, Capece, Marco, La Rocca, Roberto, Imbimbo, Ciro, Longo, Nicola, Colla’ Ruvolo, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057318/
https://www.ncbi.nlm.nih.gov/pubmed/36984626
http://dx.doi.org/10.3390/medicina59030625
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author Di Mauro, Ernesto
Di Bello, Francesco
Califano, Gianluigi
Morra, Simone
Creta, Massimiliano
Celentano, Giuseppe
Abate, Marco
Fraia, Agostino
Pezone, Gabriele
Marino, Claudio
Cilio, Simone
Capece, Marco
La Rocca, Roberto
Imbimbo, Ciro
Longo, Nicola
Colla’ Ruvolo, Claudia
author_facet Di Mauro, Ernesto
Di Bello, Francesco
Califano, Gianluigi
Morra, Simone
Creta, Massimiliano
Celentano, Giuseppe
Abate, Marco
Fraia, Agostino
Pezone, Gabriele
Marino, Claudio
Cilio, Simone
Capece, Marco
La Rocca, Roberto
Imbimbo, Ciro
Longo, Nicola
Colla’ Ruvolo, Claudia
author_sort Di Mauro, Ernesto
collection PubMed
description Background and Objectives: To describe the predictors of cribriform variant status and perineural invasion (PNI) in robot-assisted radical prostatectomy (RARP) histology. To define the rates of upgrading between biopsy specimens and final histology and their possible predictive factors in prostate cancer (PCa) patients undergoing RARP. Material and Methods: Within our institutional database, 265 PCa patients who underwent prostate biopsies and consecutive RARP at our center were enrolled (2018–2022). In the overall population, two independent multivariable logistic regression models (LRMs) predicting the presence of PNI or cribriform variant status at RARP were performed. In low- and intermediate-risk PCa patients according to D’Amico risk classification, three independent multivariable LRMs were fitted to predict upgrading. Results: Of all, 30.9% were low-risk, 18.9% were intermediate-risk and 50.2% were high-risk PCa patients. In the overall population, the rates of the cribriform variant and PNI at RARP were 55.8% and 71.1%, respectively. After multivariable LRMs predicting PNI, total tumor length in biopsy cores (>24 mm [OR: 2.37, p-value = 0.03], relative to <24 mm) was an independent predictor. After multivariable LRMs predicting cribriform variant status, PIRADS (3 [OR:15.37], 4 [OR: 13.57] or 5 [OR: 16.51] relative to PIRADS 2, all p = 0.01) and total tumor length in biopsy cores (>24 mm [OR: 2.47, p = 0.01], relative to <24 mm) were independent predicting factors. In low- and intermediate-risk PCa patients, the rate of upgrading was 74.4% and 78.0%, respectively. After multivariable LRMs predicting upgrading, PIRADS (PIRADS 3 [OR: 7.01], 4 [OR: 16.98] or 5 [OR: 20.96] relative to PIRADS 2, all p = 0.01) was an independent predicting factor. Conclusions: RARP represents a tailored and risk-adapted treatment strategy for PCa patients. The indication of RP progressively migrates to high-risk PCa after a pre-operative assessment. Specifically, the PIRADS score at mpMRI should guide the decision-making process of urologists for PCa patients.
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spelling pubmed-100573182023-03-30 Incidence and Predicting Factors of Histopathological Features at Robot-Assisted Radical Prostatectomy in the mpMRI Era: Results of a Single Tertiary Referral Center Di Mauro, Ernesto Di Bello, Francesco Califano, Gianluigi Morra, Simone Creta, Massimiliano Celentano, Giuseppe Abate, Marco Fraia, Agostino Pezone, Gabriele Marino, Claudio Cilio, Simone Capece, Marco La Rocca, Roberto Imbimbo, Ciro Longo, Nicola Colla’ Ruvolo, Claudia Medicina (Kaunas) Article Background and Objectives: To describe the predictors of cribriform variant status and perineural invasion (PNI) in robot-assisted radical prostatectomy (RARP) histology. To define the rates of upgrading between biopsy specimens and final histology and their possible predictive factors in prostate cancer (PCa) patients undergoing RARP. Material and Methods: Within our institutional database, 265 PCa patients who underwent prostate biopsies and consecutive RARP at our center were enrolled (2018–2022). In the overall population, two independent multivariable logistic regression models (LRMs) predicting the presence of PNI or cribriform variant status at RARP were performed. In low- and intermediate-risk PCa patients according to D’Amico risk classification, three independent multivariable LRMs were fitted to predict upgrading. Results: Of all, 30.9% were low-risk, 18.9% were intermediate-risk and 50.2% were high-risk PCa patients. In the overall population, the rates of the cribriform variant and PNI at RARP were 55.8% and 71.1%, respectively. After multivariable LRMs predicting PNI, total tumor length in biopsy cores (>24 mm [OR: 2.37, p-value = 0.03], relative to <24 mm) was an independent predictor. After multivariable LRMs predicting cribriform variant status, PIRADS (3 [OR:15.37], 4 [OR: 13.57] or 5 [OR: 16.51] relative to PIRADS 2, all p = 0.01) and total tumor length in biopsy cores (>24 mm [OR: 2.47, p = 0.01], relative to <24 mm) were independent predicting factors. In low- and intermediate-risk PCa patients, the rate of upgrading was 74.4% and 78.0%, respectively. After multivariable LRMs predicting upgrading, PIRADS (PIRADS 3 [OR: 7.01], 4 [OR: 16.98] or 5 [OR: 20.96] relative to PIRADS 2, all p = 0.01) was an independent predicting factor. Conclusions: RARP represents a tailored and risk-adapted treatment strategy for PCa patients. The indication of RP progressively migrates to high-risk PCa after a pre-operative assessment. Specifically, the PIRADS score at mpMRI should guide the decision-making process of urologists for PCa patients. MDPI 2023-03-21 /pmc/articles/PMC10057318/ /pubmed/36984626 http://dx.doi.org/10.3390/medicina59030625 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Di Mauro, Ernesto
Di Bello, Francesco
Califano, Gianluigi
Morra, Simone
Creta, Massimiliano
Celentano, Giuseppe
Abate, Marco
Fraia, Agostino
Pezone, Gabriele
Marino, Claudio
Cilio, Simone
Capece, Marco
La Rocca, Roberto
Imbimbo, Ciro
Longo, Nicola
Colla’ Ruvolo, Claudia
Incidence and Predicting Factors of Histopathological Features at Robot-Assisted Radical Prostatectomy in the mpMRI Era: Results of a Single Tertiary Referral Center
title Incidence and Predicting Factors of Histopathological Features at Robot-Assisted Radical Prostatectomy in the mpMRI Era: Results of a Single Tertiary Referral Center
title_full Incidence and Predicting Factors of Histopathological Features at Robot-Assisted Radical Prostatectomy in the mpMRI Era: Results of a Single Tertiary Referral Center
title_fullStr Incidence and Predicting Factors of Histopathological Features at Robot-Assisted Radical Prostatectomy in the mpMRI Era: Results of a Single Tertiary Referral Center
title_full_unstemmed Incidence and Predicting Factors of Histopathological Features at Robot-Assisted Radical Prostatectomy in the mpMRI Era: Results of a Single Tertiary Referral Center
title_short Incidence and Predicting Factors of Histopathological Features at Robot-Assisted Radical Prostatectomy in the mpMRI Era: Results of a Single Tertiary Referral Center
title_sort incidence and predicting factors of histopathological features at robot-assisted radical prostatectomy in the mpmri era: results of a single tertiary referral center
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057318/
https://www.ncbi.nlm.nih.gov/pubmed/36984626
http://dx.doi.org/10.3390/medicina59030625
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