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26 results on '"Fiard, Gaelle"'

2. Performance of a Region of Interest–based Algorithm in Diagnosing International Society of Urological Pathology Grade Group ≥2 Prostate Cancer on the MRI-FIRST Database—CAD-FIRST Study

Author

Couchoux, Thibaut, Jaouen, Tristan, Melodelima-Gonindard, Christelle, Baseilhac, Pierre, Branchu, Arthur, Arfi, Nicolas, Aziza, Richard, Barry Delongchamps, Nicolas, Bladou, Franck, Bratan, Flavie, Brunelle, Serge, Colin, Pierre, Correas, Jean-Michel, Cornud, François, Descotes, Jean-Luc, Eschwege, Pascal, Fiard, Gaelle, Guillaume, Bénédicte, Grange, Rémi, Grenier, Nicolas, Lang, Hervé, Lefèvre, Frédéric, Malavaud, Bernard, Marcelin, Clément, Moldovan, Paul C., Mottet, Nicolas, Mozer, Pierre, Potiron, Eric, Portalez, Daniel, Puech, Philippe, Renard-Penna, Raphaele, Roumiguié, Matthieu, Roy, Catherine, Timsit, Marc-Olivier, Tricard, Thibault, Villers, Arnauld, Walz, Jochen, Debeer, Sabine, Mansuy, Adeline, Mège-Lechevallier, Florence, Decaussin-Petrucci, Myriam, Badet, Lionel, Colombel, Marc, Ruffion, Alain, Crouzet, Sébastien, Rabilloud, Muriel, Souchon, Rémi, and Rouvière, Olivier

Published
2024
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4. Preparing for the Worst: Management and Predictive Factors of Open Conversion During Minimally Invasive Renal Tumor Surgery (UroCCR-135 Study)

Author

Branger, Nicolas, Doumerc, Nicolas, Waeckel, Thibaut, Bigot, Pierre, Surlemont, Louis, Knipper, Sophie, Pignot, Géraldine, Audenet, François, Bruyère, Frank, Fontenil, Alexis, Parier, Bastien, Champy, Cécile, Rouprêt, Morgan, Patard, Jean-Jacques, Henon, François, Fiard, Gaëlle, Guillotreau, Julien, Beauval, Jean-Baptiste, Michel, Constance, Bernardeau, Simon, Taha, Fayek, Mallet, Richard, Panthier, Frederic, Guy, Laurent, Vignot, Louis, Khene, Zine-Eddine, and Bernhard, Jean-Christophe

Published
2024
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5. A Novel Nomogram to Identify Candidates for Focal Therapy Among Patients with Localized Prostate Cancer Diagnosed via Magnetic Resonance Imaging–Targeted and Systematic Biopsies: A European Multicenter Study

Author

Mjaess, Georges, Peltier, Alexandre, Roche, Jean-Baptiste, Lievore, Elena, Lacetera, Vito, Chiacchio, Giuseppe, Beatrici, Valerio, Mastroianni, Riccardo, Simone, Giuseppe, Windisch, Olivier, Benamran, Daniel, Fourcade, Alexandre, Nguyen, Truong An, Fournier, Georges, Fiard, Gaelle, Ploussard, Guillaume, Roumeguère, Thierry, Albisinni, Simone, and Diamand, Romain

Published
2023
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6. Magnetic Resonance Imaging Follow-up of Targeted Biopsy–negative Prostate Lesions

Author

Stavrinides, Vasilis, Eksi, Ece, Finn, Ron, Texeira-Mendes, Larissa, Rana, Sarina, Trahearn, Nick, Grey, Alistair, Giganti, Francesco, Huet, Eric, Fiard, Gaelle, Freeman, Alex, Haider, Aiman, Allen, Clare, Kirkham, Alex, Cole, Alexander P., Collins, Tom, Pendse, Douglas, Dickinson, Louise, Punwani, Shonit, Pashayan, Nora, Emberton, Mark, Moore, Caroline M., and Orczyk, Clement

Published
2023
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7. Magnetic Resonance Imaging–based T-staging to Predict Biochemical Recurrence after Radical Prostatectomy: A Step Towards the iTNM Classification

Author

Baboudjian, Michael, Gondran-Tellier, Bastien, Touzani, Alae, Martini, Alberto, Diamand, Romain, Roche, Jean-Baptiste, Lacetera, Vito, Beauval, Jean-Baptiste, Roumeguère, Thierry, Simone, Guiseppe, Benamran, Daniel, Fourcade, Alexandre, Fiard, Gaelle, van den Bergh, Roderick C.N., Peltier, Alexandre, and Ploussard, Guillaume

Published
2023
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8. External Validation of Models for Prediction of Side-specific Extracapsular Extension in Prostate Cancer Patients Undergoing Radical Prostatectomy

Author

Diamand, Romain, Roche, Jean-Baptiste, Lievore, Elena, Lacetera, Vito, Chiacchio, Giuseppe, Beatrici, Valerio, Mastroianni, Riccardo, Simone, Giuseppe, Windisch, Olivier, Benamran, Daniel, Favre, Martina Martins, Fourcade, Alexandre, Nguyen, Truong An, Fournier, Georges, Fiard, Gaelle, Ploussard, Guillaume, Roumeguère, Thierry, Peltier, Alexandre, and Albisinni, Simone

Published
2023
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9. Role of the Prostate Imaging Quality PI-QUAL Score for Prostate Magnetic Resonance Image Quality in Pathological Upstaging After Radical Prostatectomy: A Multicentre European Study

Author

Windisch, Olivier, Benamran, Daniel, Dariane, Charles, Favre, Martina Martins, Djouhri, Mehdi, Chevalier, Maxime, Guillaume, Bénédicte, Oderda, Marco, Gatti, Marco, Faletti, Riccardo, Colinet, Valentin, Lefebvre, Yolene, Bodard, Sylvain, Diamand, Romain, and Fiard, Gaelle

Published
2023
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10. Mapping European Association of Urology Guideline Practice Across Europe: An Audit of Androgen Deprivation Therapy Use Before Prostate Cancer Surgery in 6598 Cases in 187 Hospitals Across 31 European Countries

Author

Heidegger, Isabel, Resch, Johannes Mischinger Irene, Turba, Simon, Zeder, Robin, Lodeta, Braninimir, Van Praet, Charles, Ghysel, Christophe, Arentsen, Harm C., Beysens, Matthias, Vinckier, Marie-Hélène, Mottrie, Alexandre, de Groote, Ruben, Timev, Aleksandar Ivanov, Georgiev, Marincho Ivanov, Yanev, Krassimir Prodanov, Mladenov, Boris, Ivanov, Atanas Slavchev, Antonov, Petar, Valkanov, Stanislav, Tomašković, Igor, Kulis, Tomislav, Bokarica, Pero, Pavlović, Oliver, Krajina, Vinko, Situm, Marijan, Boban, Toni, Soric, Tomislav, Vidic, Ivan, Benko, Goran, Peršec, Zoran, Sović, Tomislav, Zachoval, Roman, Stejskal, Jiri, Capoun, Otakar, Pitra, Tomáš, Gojdič, Marek, Babjuk, Marek, Novák, Vojtěch, Grepl, Michal, Broul, Marek, Novák, Jan, Lund, Lars, Nordström Joensen, Ulla, Borre, Michael, Veskimäe, Priit, Baum, Peep, Tamm, Toomas, Okas, Rauno, Jämsä, Pyry, Lahdensuo, Kanerva, Siltari, Sirkku, Seikkula, Heikki, Palmberg, Christian, Isotalo, Taina, Fiard, Gaelle, Verrier, Cecile, Wiedemann, Laura, Lecornet, Emilie, Leon, Priscilla, Millet, Clementine, Ponzio, Charles, Ploussard, Guillaume, Xylinas, Evanguelos, Ingels, Alexandre, Bigot, Pierre, Le Corre, Vincent, Audenet, François, Berg, Sebastian, Palisaar, Rein-Jueri, Heidenreich, Axel, Seelemeyer, Felix, Krege, Susanne, Leyh-Bannurah, Sami-Ramzi, Witt, Jörn H., Abdirahman, Ayanle, Truß, Michael C., Kranz, Jennifer, Andreas, Karagiannis, Vassileios, Tzortzis, Andreas, Andreou, Paparidis, Spyridon, Davis, Nikolaos Ferakis Niall F., Keane, Kevin G., Fuentes, Adrian, Scuderi, Simone, Barletta, Francesco, Manfredi, Matteo, Porpiglia, Francesco, Cerruto, Maria Angela, Antonelli, Alessandro, Esperto, Francesco, Rossanese, Marta, Veneziano, Domenico, Castelli, Tommaso, Mantica, Roberto La Rocca Marcello Scarcia Guglielmo, Rebuffo, Silvia, Pomara, Giorgio, Pavan, Nicola, Silvestri, Tommaso, Reale, Giulio Francesco, Polara, Andrea, Falagario, Ugo Giovanni, Carrieri, Giuseppe, Ferrari, Giovanni, Brausi, Maurizio, Orecchia, Luca, Annino, Filippo, Kazlauskas, Gražvydas, Stavridis, Sotir, Radovic, Nenad, Vukovic, Marko, van der Slot, Margaretha Adriana, Bruins, Harman Maxim, van Oort, Inge, Witjes, Fred, van der Poel, Henk, Beisland, Christian, Lilleåsenm, Gunder, Müller, Stig, Haug, Erik S., Dimmen, Magne, Czech, Anna K., Nyk, Lukasz, Jaskulski, Jaroslaw, Ratajczyk, Krzysztof, Azevedo, Nuno, Braga, Isaac, Pereira, João, Lúcio, Rui, Pina, João, da Silva, Edgar Miguel Calvo Loureiro Tavares, Furriel, Frederico, Mota, Paulo, Rodrigues, Miguel, Radavoi, George Daniel, Crisan, Nicolae, Andras, Iulia, Robert, Stoica, Bratu, Ovidiu, Surcel, Cristian, Kotov, Sergei, Malkhasyan, Vigen, Petrov, Sergei, Reva, Sergei, Bumbasirevic, Uros, Kováčik, Viktor, Perečinský, Ivan, Rybár, Ľuboš, Šulgan, Ján, Briš, Lukáš, Jursová, Katarína, Chovan, Miroslav, Kička, Tomáš, Taskovska, Milena, Kovačič, Rok, Miklavžina, Andraž, Alvarez-Maestro, Mario, De Castro, Javier Mayor, Aragón-Chamizo, Juan, Sutil, Raquel Sopeña, Perrello, Carmen Garau, Vilaseca, Antoni, Perez, Jorge Huguet, Ovide, Julia Aumatell, Planas, Jacques, Borque-Fernando, Angel, Sánchez-Izquierdo, Elena, Jimenez, Jose Luis Marenco, Lendínez-Cano, Guillermo, Puche-Sanz, Ignacio, Garcia-Baquero, Rodrigo, Esteban, Mario Domínguez, Pérez-Fentes, Daniel, Serván, Patricia Parra, Koskela, Lotta Renström, Stranne, Johan, Scholtz, Bianca, Torbrand, Christian, Wagenius, Magnus, Ugge, Henrik, Örtegren, Joakim, Langenauer, Janine, Zumstein, Valentin, Schmid, Hans Peter, Rieken, Malte, Saba, Karim, Strebel, Raeto T., Mortezavi, Ashkan, Rentsch, Cyrill, Roth, Beat, Eberli, Daniel, Pascal, Oechslin, Auer, Rebecca, John, Hubert, Thalmann, George N., Baltacı, Sümer, Mungan, Aydın, Sözen, Sinan, Cetin, Serhat, Aslan, Guven, Türkeri, Levent, İzol, Volkan, Demirdağ, Çetin, Ozden, Sami Berk, Toktaş, Gökhan, Sarikaya, Şaban, Tinay, İlker, Müezzinoğlu, Talha, Erbatu, Oguzcan, Sagnak, Levent, Akdoğan, Bülent, Can, Cavit, Şahin, Hayrettin, Yazıcı, Cenk Murat, Volkov, Serhii, Shulyak, Olexandr, Douglas, David, Hemmant, Joshua, El-Taji, Omar, Ahmad, Imran, Nalagatla, Sarika, Janebdar, Husay, Veeratterapillay, Rajan, Rai, Bhavan, Conroy, Samantha, Cumberbatch, Marcus, Malde, Sachin, MacLennan, Steven, Duncan, Eilidh, Dunsmore, Jennifer, Fullwood, Louise, Lumen, Nicolaas, Plass, Karin, Ribal, Maria J., Roobol, Monique J., Nieboer, Daan, Schouten, Natasha, Skolarus, Ted A., Smith, Emma Jane, N'Dow, James, Mottet, Nicolas, and Briganti, Alberto

Published
2023
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13. Superselective Ischemia in Robotic Partial Nephrectomy Does Not Provide Better Long-term Renal Function than Renal Artery Clamping in a Randomized Controlled Trial (EMERALD): Should We Take the Risk?

Author

Long, Jean-Alexandre, Fiard, Gaëlle, Giai, Joris, Teyssier, Yann, Fontanell, Amina, Overs, Camille, Poncet, Delphine, Descotes, Jean-Luc, Rambeaud, Jean-Jacques, Moreau-Gaudry, Alexandre, Ittobane, Tarek, Bouzit, Assilah, Bosson, Jean-Luc, and Lanchon, Cecilia

Published
2022
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14. Impact of Hospital Volume on the Outcomes of Renal Trauma Management

Author

Baloche, Paul, Szabla, Nicolas, Freton, Lucas, Hutin, Marine, Ruggiero, Marina, Dominique, Ines, Millet, Clementine, Bergerat, Sebastien, Panayotopoulos, Paul, Betari, Reem, Matillon, Xavier, Chebbi, Ala, Caes, Thomas, Patard, Pierre-Marie, Brichart, Nicolas, Sabourin, Laura, Dariane, Charles, Baboudjian, Michael, Gondran-Tellier, Bastien, Lebacle, Cedric, Madec, François-Xavier, Nouhaud, François-Xavier, Rod, Xavier, Fiard, Gaelle, Pradere, Benjamin, and Peyronnet, Benoit

Published
2022
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15. Factors Predictive of Selective Angioembolization Failure for Moderate- to High-grade Renal Trauma: A French Multi-institutional Study

Author

Baboudjian, Michael, Gondran-Tellier, Bastien, Panayotopoulos, Paul, Hutin, Marine, Olivier, Jonathan, Ruggiero, Marina, Dominique, Ines, Millet, Clémentine, Bergerat, Sébastien, Freton, Lucas, Betari, Reem, Matillon, Xavier, Chebbi, Ala, Caes, Thomas, Patard, Pierre-Marie, Szabla, Nicolas, Sabourin, Laura, Dariane, Charles, Lebacle, Cedric, Rizk, Jerome, Madec, Francois-Xavier, Nouhaud, Francois-Xavier, Rod, Xavier, Fiard, Gaelle, Pradere, Benjamin, and Peyronnet, Benoit

Published
2022
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16. Trifecta Outcomes of Partial Nephrectomy in Patients Over 75 Years Old: Analysis of the REnal SURGery in Elderly (RESURGE) Group

Author

Bindayi, Ahmet, Autorino, Riccardo, Capitanio, Umberto, Pavan, Nicola, Mir, Maria Carmen, Antonelli, Alessandro, Takagi, Toshio, Bertolo, Riccardo, Maurer, Tobias, Ho Rha, Koon, Long, Jean−Alexandre, Yang, Bo, Schips, Luigi, Lima, Estevão, Breda, Alberto, Linares, Estefania, Celia, Antonio, De Nunzio, Cosimo, Dobbs, Ryan, Patel, Sunil, Hamilton, Zachary, Tracey, Andrew, Larcher, Alessandro, Trombetta, Carlo, Palumbo, Carlotta, Tanabe, Kazunari, Amiel, Thomas, Raheem, Ali, Fiard, Gaelle, Zhang, Chao, Castellucci, Roberto, Palou, Joan, Ryan, Stephen, Crivellaro, Simone, Montorsi, Francesco, Porpiglia, Francesco, and Derweesh, Ithaar H.

Published
2020
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17. Expanding Active Surveillance Criteria for Low- and Intermediate-risk Prostate Cancer: Can We Accurately Predict the Risk of Misclassification for Patients Diagnosed by Multiparametric Magnetic Resonance Imaging–targeted Biopsy?

Author

Diamand, Romain, Albisinni, Simone, Roche, Jean-Baptiste, Lievore, Elena, Lacetera, Vito, Chiacchio, Giuseppe, Beatrici, Valerio, Mastroianni, Riccardo, Simone, Giuseppe, Windisch, Olivier, Benamran, Daniel, Fourcade, Alexandre, An Nguyen, Truong, Fournier, Georges, Fiard, Gaelle, Ploussard, Guillaume, Peltier, Alexandre, and Roumeguère, Thierry

Published
2023
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18. Restaging of Patients with Persistently Elevated Prostate-specific Antigen After Radical Prostatectomy Using [68Ga]-PSMA-11 Positron Emission Tomography/Computed Tomography: Impact on Disease Management

Author

Gauthé, Mathieu, Sargos, Paul, Benziane Ouaritini, Nicolas, Barret, Eric, Beauval, Jean-Baptiste, Brureau, Laurent, Créhange, Gilles, Dariane, Charles, Fiard, Gaëlle, Fromont, Gaëlle, Mathieu, Romain, Renard-Penna, Raphaële, Roubaud, Guilhem, Ruffion, Alain, Rouprêt, Morgan, and Ploussard, Guillaume

Published
2022
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21. Clinical Trial Protocol for PERFECT: A Randomised Controlled Trial Comparing the Efficiency and Tolerance of Transperineal Fusion Versus Transrectal Imaging-targeted Prostate Biopsies (CCAFU-PR1 Study)

Author

Touzani, Alae, Fiard, Gaëlle, Barret, Eric, Renard-Penna, Raphaële, Salin, Ambroise, Pradère, Benjamin, Rozet, François, Beauval, Jean-Baptiste, Malavaud, Bernard, Giannarini, Gianluca, Colin, Pierre, Rouprêt, Morgan, and Ploussard, Guillaume

Published
2022
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22. Targeted MRI-guided Prostate Biopsies for the Detection of Prostate Cancer: Initial Clinical Experience With Real-time 3-Dimensional Transrectal Ultrasound Guidance and Magnetic Resonance/Transrectal Ultrasound Image Fusion

Author

Fiard, Gaelle, Hohn, Noelie, Descotes, Jean-Luc, Rambeaud, Jean-Jacques, Troccaz, Jocelyne, and Long, Jean-Alexandre

Subjects
*DIAGNOSIS, *PROSTATE cancer, *BIOPSY, *MAGNETIC resonance imaging, *CLINICAL medicine, *FEASIBILITY studies, *CANCER research
Abstract

Objective: To prove the feasibility and evaluate the initial clinical results of targeted prostate biopsies using the Urostation novel platform using magnetic resonance imaging (MRI)/transrectal ultrasound (TRUS) registration to help steer the biopsy needle to suspicious areas. Methods: We prospectively included 30 patients for suspicion of prostate cancer from November 2011 to August 2012. All patients were previously evaluated by a multiparametric MRI, interpreted by a single radiologist who attributed a Prostate Imaging-Reporting and Data System (PI-RADS) score to each lesion. A conventional 12-core randomized biopsy protocol was performed and 2 additional targeted biopsies were performed on suspicious area(s). The results of randomized and targeted biopsies were compared. Results: Among the 30 patients, suspicious area(s) were found on MRI in 20 cases (67%). Median procedure time was 23 minutes. Targeting success rate (biopsy visualized inside the target) was 83%, with at least 1 biopsy reaching the target in all cases. Prostate cancer was detected in 14 cases (47%), including 11 cases with an abnormal MRI. Targeted biopsies detected cancer in all 11 cases and all but 1 were clinically significant. Randomized biopsies detected 10 of these 11 cases, and 3 more cases that MRI considered normal. Sensitivity to detect a significant cancer was 91% in both modalities. Conclusion: This initial clinical study showed encouraging results for targeted MRI-guided prostate biopsies using MRI-TRUS fusion. Although further studies are needed to determine the role of prostate MRI before biopsy and the relevance of targeted biopsies, the Urostation is an MRI-TRUS fusion device that has good accuracy for targeting suspicious areas on MRI. [ABSTRACT FROM AUTHOR]

Published
2013
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23. Robot-Assisted Laparoscopic Calyceo-Pyelostomy for Vascular Compression of the Upper Calyx (Fraley Syndrome).

Author

Windisch, Olivier, Liernur, Thibaut, Prunet, Solène, Descotes, Jean-Luc, Fiard, Gaelle, and Long, Jean-Alexandre

Subjects
*SURGICAL robots, *COMPUTED tomography, *SURGICAL stents, *PNEUMOPERITONEUM, *SYNDROMES, *CRUSH syndrome, *WOMEN patients
Abstract

Fraley's Syndrome is a rare anatomic vascular malformation described in 1966 where an aberrant crossing vessel compresses the upper infundibulum and leads to upper calyx massive dilation. It is mostly asymptomatic and the diagnosis often missed; however, surgery is usually required for symptomatic cases. Open surgery is still frequently used while minimally invasive management is anecdotal in the literature. We report the first robot-assisted calyceo-pyelostomy. An 18-year-old female patient presented with intermittent, recurring, severe left flank pain leading to insomnia, evolving in the last 3 months. A 3-phases computerized tomography scan (CT-scan) showed a rotated left kidney, with upper calyx massive dilation and thinning of the upper renal parenchyma without any evident obstacle. Cystocopy and retrograde pyelography were performed. It confirmed a single ureteral meatus, a single ureter, and a narrowed upper calyx with upper calyx dilation. An ureteral catheter (JJ stent) was inserted in the upper calyx and the patient was planned for surgical exploration. During robotic surgery, an abnormal crossing vessel was identified and the diagnosis of Fraley's syndrome was made intraoperatively. According to previous literature, a calyceo-pyelostomy with uncrossing of the upper major calyx and resection of the narrowed upper infundibulum was performed. Total operative time was 114 min, pneumoperitoneum time was 96 min, blood loss less than 10 ml, and patient was released on post-operative day 2. The ureteral stent was removed 4 weeks after the intervention. At 12 postoperative weeks, the patient had complete regression of pain and the 12 postoperative week CT-scan showed a reduction of the dilation and a patent anastomosis. Fraley's syndrome is a rare entity. In our case, the diagnosis of Fraley syndrome was made intraoperatively after an extensive previous workup, underlining the difficulty to make this diagnosis. We report and provide a video of the first robot-assisted procedure for Fraley's syndrome in a nephron-sparing technique. Patient was pain-free at the 3-month. [ABSTRACT FROM AUTHOR]

Published
2022
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24. External Validation of a Multiparametric Magnetic Resonance Imaging–based Nomogram for the Prediction of Extracapsular Extension and Seminal Vesicle Invasion in Prostate Cancer Patients Undergoing Radical Prostatectomy.

Author

Diamand, Romain, Ploussard, Guillaume, Roumiguié, Mathieu, Oderda, Marco, Benamran, Daniel, Fiard, Gaelle, Quackels, Thierry, Assenmacher, Grégoire, Simone, Giuseppe, Van Damme, Julien, Malavaud, Bernard, Iselin, Christophe, Descotes, Jean-Luc, Roche, Jean-Baptiste, Peltier, Alexandre, Roumeguère, Thierry, and Albisinni, Simone

Subjects
*ENDORECTAL ultrasonography, *SEMINAL vesicles, *PROSTATE cancer patients, *NOMOGRAPHY (Mathematics), *MAGNETIC resonance, *PROSTATE cancer, *MAGNETIC resonance imaging
Abstract

The nomogram reported by Gandaglia et al (The key combined value of multiparametric magnetic resonance imaging, and magnetic resonance imaging-targeted and concomitant systematic biopsies for the prediction of adverse pathological features in prostate cancer patients undergoing radical prostatectomy. Eur Urol 2020;77:733–41) predicting extracapsular extension (ECE) or seminal vesicle invasion (SVI) has been developed using multiparametric magnetic resonance imaging (MRI) parameters and MRI-targeted biopsy. We aimed to validate this nomogram externally by analyzing 566 patients harboring prostate cancer diagnosed on MRI-targeted biopsy followed by radical prostatectomy. At final pathology, 37% and 12% patients had ECE and SVI, respectively. Performance of the nomogram, in comparison with the Memorial Sloan Kettering Cancer Center (MSKCC) model and Partin tables, was evaluated using discrimination, calibration, and decision curve analysis. Regarding ECE prediction, the nomogram showed higher discrimination (71.8% vs 69.8%, p = 0.3 and 71.8% vs 61.3%, p < 0.001), and similar miscalibration and net benefit for probability threshold above 30% when compared with MSKCC model and Partin tables, respectively. Performance of the nomogram with regard to SVI was comparable in terms of discrimination (68.5% vs 70.4% vs 67.8%, p ≥ 0.6), presenting a slight overestimation on calibration plots and a net benefit for probability threshold above 7.5%. This is the first multicentric study that externally validates a nomogram predicting ECE and SVI in patients diagnosed with MRI-targeted biopsy. Its performance was less optimistic than expected, and implementation of MRI in this setting was not associated with a clear improvement in patient selection and clinical usefulness when compared with available models. We proposed an updated version of the nomogram predicting ECE using the recalibration method, which leads to an improvement in its performance and needs to be validated in another external set. We validate a prediction tool based on multiparametric magnetic resonance imaging (MRI) parameters and MRI-targeted biopsy predicting extracapsular extension and seminal vesicle invasion at radical prostatectomy. An improvement of patient selection was not clearly demonstrated when compared with available models based on clinical parameters, and implementation of MRI in this setting still needs to be clarified. We report external validation of a nomogram predicting extracapsular extension and seminal vesicle invasion after radical prostatectomy using magnetic resonance imaging (MRI) parameters and MRI-targeted biopsy. We demonstrated a less optimistic performance. Implementation of MRI in this setting still needs to be clarified as it was not associated with a clear improvement in patient selection and clinical usefulness when compared with available models. [ABSTRACT FROM AUTHOR]

Published
2021
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25. Stratifying patients with intermediate-risk prostate cancer: Validation of a new model based on MRI parameters and targeted biopsy and comparison with NCCN and AUA subclassifications.

Author

Diamand, Romain, Ploussard, Guillaume, Roumiguié, Mathieu, Malavaud, Bernard, Oderda, Marco, Gontero, Paolo, Fourcade, Alexandre, Fournier, Georges, Benamran, Daniel, Iselin, Christophe, Fiard, Gaelle, Descotes, Jean-Luc, Peltier, Alexandre, Simone, Giuseppe, Roche, Jean-Baptiste, Roumeguère, Thierry, and Albisinni, Simone

Subjects
*PROSTATE cancer, *MAGNETIC resonance imaging, *PROSTATE cancer patients, *RADICAL prostatectomy, *MODEL validation, *DECISION making
Abstract

Objective: Intermediate-risk prostate cancer regroups heterogeneous patients with different oncologic outcomes. Aim of the study is to validate a novel intermediate-risk subclassification ("magnetic resonance imaging [MRI] subclassification") that defines favorable and unfavorable diseases based on multiparametric MRI parameters and compare it to NCCN and AUA intermediate-risk subclassifications.Methods: A total of 429 patients treated with radical prostatectomy for NCCN intermediate-risk prostate cancer were identified. Using MRI subclassification, a favorable disease was defined as an organ-confined disease on MRI and international society of urological pathology Grade Group 1 to 2 on targeted biopsy. Remaining was classified as unfavorable. Univariable and multivariable analysis tested MRI subclassification in predicting overall unfavorable disease (OUD: pT3-4 and/or pN1 and/or International Society of Urological Pathology Grade Group ≥ 3), the need for adjuvant therapy and early biochemical recurrence (eBCR). Performance of NCCN, AUA, and MRI models was compared in term of OUD proportion and eBCR prediction using Harrell's c-index, calibrations plots, and decision curve analysis.Results: Median (interquartile range) follow-up was 12 months (4-28). In multivariable analysis, MRI subclassification was an independent factor for OUD (odds ratio [OR]: 4.54 [2.85-7.22], P < 0.001), the need for adjuvant therapy (OR: 3.42 [1.36-8.57], P = 0.009), and eBCR (HR: 2.62 [1.18-5.83], P = 0.018). Using this model, the proportion of unfavorable disease decreased from 73.7% and 63.9% to 35.9% (P < 0.001) associated to an increasing proportion of OUD when compared to NCCN and AUA models (63.9% and 67.1%-77.9% respectively, P < 0.001). Performance of the 3 models for eBCR prediction tended to be similar with a poor accuracy ranged from 58.7% to 66.7% (P > 0.05), permanent miscalibration and a net benefit at decision curve analysis.Conclusions: We validated an intermediate-risk subclassification based on MRI and targeted biopsy that potentially improves patient selection by reducing the number of patients considered at unfavorable risk while increasing proportion of patients harboring poor oncologic outcomes. Its performance for eBCR detection was comparable to NCCN and AUA models. [ABSTRACT FROM AUTHOR]

Published
2021
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26. External validation of the Briganti nomogram predicting lymph node invasion in patients with intermediate and high-risk prostate cancer diagnosed with magnetic resonance imaging-targeted and systematic biopsies: A European multicenter study.

Author

Diamand, Romain, Oderda, Marco, Albisinni, Simone, Fourcade, Alexandre, Fournier, Georges, Benamran, Daniel, Iselin, Christophe, Fiard, Gaelle, Descotes, Jean-Luc, Assenmacher, Grégoire, Svistakov, Ilyas, Peltier, Alexandre, Simone, Giuseppe, Di Cosmo, Giacomo, Roche, Jean-Baptiste, Bonnal, Jean-Louis, Van Damme, Julien, Rossi, Maxime, Mandron, Eric, and Gontero, Paolo

Subjects
*LYMPH nodes, *MAGNETIC resonance, *PROSTATE cancer, *LYMPHADENECTOMY, *PROSTATE cancer patients
Abstract

Objective: To validate a nomogram predicting lymph node invasion (LNI) in prostate cancer patients undergoing radical prostatectomy taking into consideration multiparametric-magnetic resonance imaging (mp-MRI) parameters and targeted biopsies in a western European cohort.Patients and Methods: A total of 473 men diagnosed by targeted biopsies, using software-based MRI-ultrasound image fusion system, and operated by radical prostatectomy with extended pelvic lymph node dissection across 11 Europeans centers between 2012 and 2019 were identified. Area under the curve of the receiver operator characteristic curve, calibration plot and decision curve analysis were used to evaluated the performance of the model.Results: Overall, 56 (11.8%) patients had LNI on final pathologic examination with a median (IQR) of 13 (9-18) resected nodes. Significant differences (all P < 0.05) were found between patients with and without LNI in terms of preoperative PSA, clinical stage at DRE and mp-MRI, maximum diameter of the index lesion, PI-RADS score, Grade Group on systematic and targeted biopsies, total number of dissected lymph nodes, final pathologic staging and Grade Group. External validation of the prediction model showed a good accuracy with an area under the curve calculated as 0.8 (CI 95% 0.75-0.86). Graphic analysis of calibration plot and decision curve analysis showed a slight underestimation for predictive probability for LNI between 3% and 22% and a high net benefit. A cut-off at 7% was associated with a risk of missing LNI in 2.6%, avoiding unnecessary surgeries in 55.9%.Conclusions: We report an external validation of the nomogram predicting LNI in patients treated with extended pelvic lymph node dissection in a western European cohort and a cut-off at 7% seems appropriate. [ABSTRACT FROM AUTHOR]

Published
2020
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