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2 results on '"Manuela Roncella"'

1. Oncoplastic and reconstructive surgery in SENONETWORK Italian breast centers: lights and shadows

Author

Matteo Ghilli, Andrea Vittorio Emanuele Lisa, Marzia Salgarello, Giovanni Papa, Mario Rietjens, Secondo Folli, Annalisa Curcio, Guglielmo Ferrari, Francesco Caruso, Vittorio Altomare, Daniele Friedman, Maria Carmen De Santis, Fiorenza De Rose, Bruno Meduri, Francesca De Felice, Lorenza Marino, Francesca Cucciarelli, Stefania Montemezzi, Pietro Panizza, Paolo Belli, Francesca Caumo, Valeriano Vinci, Giorgio De Santis, Marco Klinger, Manuela Roncella, Francesco Abbonante, Ginevra Lamanna, Augusto Lombardi, Silvio Vischi, Lorenzo Orzalesi, Giovanni Angiolucci, Samantha Bozzo, Laura Pizzorno, Bettina Ballardini, Maggiorino Barbero, Leonardo Barellini, Claudio Battaglia, Luisa Reggiani, Caterina Santi, Nicoletta Biglio, Marina Bortul, Paolo Burelli, Massimo Busani, Roberta Cabula, Katia Cagossi, Vito Maria Fontanarosa, Francesca Catalano, Carla Cedolini, Luigi Ciuffreda, Fabio Corsi, Olindo Custodero, Stefano Mori, Roy De Vita, Loredana Defilippi, Samantha Marcuzzi, Stefano Drago, Giovanni Battista, Loredana Burgoa, Paolo Cristofolini, Giovanna Romanucci, Andrea Loreti, Valerio Prosperi, Paolo Carcoforo, Patrizia Fulvia Franzini, Patrizia Frittelli, Giuseppe Perniciaro, Daniele Generali, Monica Giordano, Giovanazzi Riccardo, Simona Grossi, Alessandra Huscher, Giuseppe La Torre, Gianfranco Lolli, Carla Magni, Stefano Mancini, Lorenzo Galli, Alba Di Leone, Samuele Massarut, Alberto Massocco, Monica Cramarossa, Graziano Meneghini, Luca Fabiocchi, Anna Maria Miglietta, Francesco Millo, Antonella Ciabattoni, Francesca Pellini, Marco Moschetta, Antonino Musolino, Dante Palli, Giulia Pagura, Mariagrazia Pieraccini, Davide Marenco, Romano Polato, Maria Renne, Cosmo Maurizio Ressa, Fabio Ricci, Raffaella Ridolfo, Francesca Angela Rovera, Francesco Barberini, Marina Vinciguerra, Marco Furci, Maria Sciamannini, Daniela Gianquinto, Silvia Petrucci, Angelica Della Valle, Pietra Stancampiano, Andrea Lippi, Giovanni Tazzioli, Davide Lombardi, Martino Trunfio, Luca Valieri, Carlo Vecchio, Paolo Veronesi, and Gretha Grilz

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Published
2024
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2. Development of a novel nomogram-based online tool to predict axillary status after neoadjuvant chemotherapy in cN+ breast cancer: A multicentre study on 1,950 patients

Author

Fabio Corsi, Sara Albasini, Luca Sorrentino, Giulia Armatura, Claudia Carolla, Corrado Chiappa, Francesca Combi, Annalisa Curcio, Angelica Della Valle, Guglielmo Ferrari, Maria Luisa Gasparri, Oreste Gentilini, Matteo Ghilli, Chiara Listorti, Stefano Mancini, Peter Marinello, Francesco Meani, Simone Mele, Anna Pertusati, Manuela Roncella, Francesca Rovera, Adele Sgarella, Giovanni Tazzioli, Daniela Tognali, and Secondo Folli

Subjects
Breast cancer, Neoadjuvant chemotherapy, Axillary surgery, Axillary dissection, Sentinel node biopsy, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Background: Type of axillary surgery in breast cancer (BC) patients who convert from cN + to ycN0 after neoadjuvant chemotherapy (NAC) is still debated. The aim of the present study was to develop and validate a preoperative predictive nomogram to select those patients with a low risk of residual axillary disease after NAC, in whom axillary surgery could be minimized. Patients and methods: 1950 clinically node-positive BC patients from 11 Breast Units, treated by NAC and subsequent surgery, were included from 2005 to 2020. Patients were divided in two groups: those who achieved nodal pCR vs. those with residual nodal disease after NAC. The cohort was divided into training and validation set with a geographic separation criterion. The outcome was to identify independent predictors of axillary pathologic complete response (pCR). Results: Independent predictive factors associated to nodal pCR were axillary clinical complete response (cCR) after NAC (OR 3.11, p 14% (OR 0.52, p = 0.0005), and tumor grading G2 (OR 0.35, p = 0.002) or G3 (OR 0.29, p = 0.0003). The nomogram showed a sensitivity of 71% and a specificity of 73% (AUC 0.77, 95%CI 0.75–0.80). After external validation the accuracy of the nomogram was confirmed. Conclusion: The accuracy makes this freely-available, nomogram-based online tool useful to predict nodal pCR after NAC, translating the concept of tailored axillary surgery also in this setting of patients.

Published
2021
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