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8 results on '"Bui, Alexandre Patrick"'

1. Transrectal versus transperineal prostate fusion biopsy: a pair-matched analysis to evaluate accuracy and complications

Author

Oderda, Marco, Diamand, Romain, Abou Zahr, Rawad, Anract, Julien, Assenmacher, Gregoire, Barry Delongchamps, Nicolas, Bui, Alexandre Patrick, Benamran, Daniel, Calleris, Giorgio, Dariane, Charles, Ferriero, Mariaconsiglia, Fiard, Gaelle, Taha, Fayek, Fourcade, Alexandre, Fournier, Georges, Guenzel, Karsten, Halinski, Adam, Marra, Giancarlo, Ploussard, Guillaume, Rysankova, Katerina, Roche, Jean-Baptiste, Simone, Giuseppe, Windisch, Olivier, and Gontero, Paolo

Published
2024
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2. External validation and comparison of magnetic resonance imaging-based risk prediction models for prostate biopsy stratification

Author

Diamand, Romain, Guenzel, Karsten, Jabbour, Teddy, Baudewyns, Arthur, Bourgeno, Henri-Alexandre, Lefebvre, Yolène, Ferriero, Mariaconsiglia, Simone, Giuseppe, Fourcade, Alexandre, Fournier, Georges, Bui, Alexandre Patrick, Taha, Fayek, Oderda, Marco, Gontero, Paolo, Rysankova, Katerina, Bernal-Gomez, Adrian, Mastrorosa, Alessandro, Roche, Jean-Baptiste, Fiard, Gaelle, Abou Zahr, Rawad, Ploussard, Guillaume, Windisch, Olivier, Novello, Quentin, Benamran, Daniel, Delavar, Gina, Anract, Julien, Barry Delongchamps, Nicolas, Halinski, Adam, Dariane, Charles, Vlahopoulos, Léonidas, Assenmacher, Gregoire, Roumeguère, Thierry, and Peltier, Alexandre

Published
2024
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3. The impact of prostate volume estimation on the risk‐adapted biopsy decision based on prostate-specific antigen density and magnetic resonance imaging score

Author

Baudewyns, Arthur, Guenzel, Karsten, Halinski, Adam, Dariane, Charles, Delavar, Gina, Anract, Julien, Barry Delongchamps, Nicolas, Jabbour, Teddy, Bourgeno, Henri-Alexandre, Lefebvre, Yolène, Ferriero, Mariaconsiglia, Simone, Giuseppe, Fourcade, Alexandre, Fournier, Georges, Oderda, Marco, Gontero, Paolo, Bernal-Gomez, Adrian, Mastrorosa, Alessandro, Roche, Jean-Baptiste, Zahr, Rawad Abou, Ploussard, Guillaume, Fiard, Gaelle, Rysankova, Katerina, Bui, Alexandre Patrick, Taha, Fayek, Windisch, Olivier, Benamran, Daniel, Vlahopoulos, Léonidas, Assenmacher, Gregoire, Roumeguère, Thierry, Peltier, Alexandre, and Diamand, Romain

Published
2024
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5. Transperineal or Transrectal Magnetic Resonance Imaging–targeted Biopsy for Prostate Cancer Detection

Author

Diamand, Romain, primary, Guenzel, Karsten, additional, Mjaess, Georges, additional, Lefebvre, Yolène, additional, Ferriero, Mariaconsiglia, additional, Simone, Giuseppe, additional, Fourcade, Alexandre, additional, Fournier, Georges, additional, Bui, Alexandre-Patrick, additional, Taha, Fayek, additional, Oderda, Marco, additional, Gontero, Paolo, additional, Rysankova, Katerina, additional, Bernal-Gomez, Adrian, additional, Mastrorosa, Alessandro, additional, Roche, Jean-Baptiste, additional, Fiard, Gaelle, additional, Abou Zahr, Rawad, additional, Ploussard, Guillaume, additional, Windisch, Olivier, additional, Novello, Quentin, additional, Benamran, Daniel, additional, Delavar, Gina, additional, Anract, Julien, additional, Barry Delongchamps, Nicolas, additional, Halinski, Adam, additional, Dariane, Charles, additional, Benijts, Jan, additional, Assenmacher, Gregoire, additional, Roumeguère, Thierry, additional, and Peltier, Alexandre, additional

Published
2024
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6. The Added Value of Side-specific Systematic Biopsy in Patients Diagnosed by Magnetic Resonance Imaging–targeted Prostate Biopsy

Author

Bourgeno, Henri-Alexandre, primary, Jabbour, Teddy, additional, Baudewyns, Arthur, additional, Lefebvre, Yolène, additional, Ferriero, Mariaconsiglia, additional, Simone, Giuseppe, additional, Fourcade, Alexandre, additional, Fournier, Georges, additional, Oderda, Marco, additional, Gontero, Paolo, additional, Bernal-Gomez, Adrian, additional, Mastrorosa, Alessandro, additional, Roche, Jean-Baptiste, additional, Abou Zahr, Rawad, additional, Ploussard, Guillaume, additional, Fiard, Gaelle, additional, Halinski, Adam, additional, Rysankova, Katerina, additional, Dariane, Charles, additional, Delavar, Gina, additional, Anract, Julien, additional, Barry Delongchamps, Nicolas, additional, Bui, Alexandre Patrick, additional, Taha, Fayek, additional, Windisch, Olivier, additional, Benamran, Daniel, additional, Assenmacher, Gregoire, additional, Vlahopoulos, Léonidas, additional, Guenzel, Karsten, additional, Roumeguère, Thierry, additional, Peltier, Alexandre, additional, and Diamand, Romain, additional

Published
2024
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7. Refining clinically relevant cut-offs of prostate specific antigen density for risk stratification in patients with PI-RADS 3 lesions

Author

Mjaess, Georges, Haddad, Laura, Jabbour, Teddy, Baudewyns, Arthur, Bourgeno, Henri-Alexandre, Lefebvre, Yolène, Ferriero, Mariaconsiglia, Simone, Giuseppe, Fourcade, Alexandre, Fournier, Georges, Oderda, Marco, Gontero, Paolo, Bernal-Gomez, Adrian, Mastrorosa, Alessandro, Roche, Jean-Baptiste, Abou Zahr, Rawad, Ploussard, Guillaume, Fiard, Gaelle, Halinski, Adam, Rysankova, Katerina, Dariane, Charles, Delavar, Gina, Anract, Julien, Barry Delongchamps, Nicolas, Bui, Alexandre Patrick, Taha, Fayek, Windisch, Olivier, Benamran, Daniel, Assenmacher, Gregoire, Benijts, Jan, Guenzel, Karsten, Roumeguère, Thierry, Peltier, Alexandre, and Diamand, Romain

Abstract

Background: Prostate Imaging Reporting and Data System (PI-RADS) 3 lesions, identified through multiparametric magnetic resonance imaging (mpMRI), present a clinical challenge due to their equivocal nature in predicting clinically significant prostate cancer (csPCa). Aim of the study is to improve risk stratification of patients with PI-RADS 3 lesions and candidates for prostate biopsy. Methods: A cohort of 4841 consecutive patients who underwent MRI and subsequent MRI-targeted and systematic biopsies between January 2016 and April 2023 were retrospectively identified from independent prospectively maintained database. Only patients who have PI-RADS 3 lesions were included in the final analysis. A multivariable logistic regression analysis was performed to identify covariables associated with csPCa defined as International Society of Urological Pathology (ISUP) grade group ≥2. Performance of the model was evaluated using the area under the receiver operating characteristic curve (AUC), calibration, and net benefit. Significant predictors were then selected for further exploration using a Chi-squared Automatic Interaction Detection (CHAID) analysis. Results: Overall, 790 patients had PI-RADS 3 lesions and 151 (19%) had csPCa. Significant associations were observed for age (OR: 1.1 [1.0–1.1]; p= 0.01) and PSA density (OR: 1643 [2717–41,997]; p< 0.01). The CHAID analysis identified PSAd as the sole significant factor influencing the decision tree. Cut-offs for PSAd were 0.13 ng/ml/cc (csPCa detection rate of 1% vs. 18%) for the two-nodes model and 0.09 ng/ml/cc and 0.16 ng/ml/cc for the three-nodes model (csPCa detection rate of 0.5% vs. 2% vs. 17%). Conclusions: For individuals with PI-RADS 3 lesions on prostate mpMRI and a PSAd below 0.13, especially below 0.09, prostate biopsy can be omitted, in order to avoid unnecessary biopsy and overdiagnosis of non-csPCa.

Published
2024
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8. PIRADS≥4 MRI lesion: Is performing systematic biopsies still essential for detecting clinically significant prostate cancer?

Author

Taha, Fayek, Branchu, Benjamin, Demichel, Natacha, Goudaimy, Sulaiman, Bui, Alexandre Patrick, Delchet, Ophélie, and Larre, Stéphane

Abstract

In the era of targeted prostate biopsies, the necessity of performing randomized biopsies systematically is under question. Our objective is to evaluate the rate of clinically significant prostate cancer (csPCa), defined by presence of ISUP≥2 prostate cancer, diagnosed only on randomized cores in case of a PIRADS≥4 target lesion on MRI. The secondary objective is to evaluate whether specific variables can predict the presence of undetected csPCa in targeted biopsies.

Published
2024
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