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1,031 results on '"Arezzo, Alberto"'

1. Sustainability in surgical practice: a collaborative call toward environmental sustainability in operating rooms

Author

Johnson, Shaneeta M., Marconi, Stefania, Sanchez-Casalongue, Manuel, Francis, Nader, Huo, Bright, Alseidi, Adnan, Alimi, Yewande R., Pietrabissa, Andrea, Arezzo, Alberto, Frountzas, Maximos, Bellato, Vittoria, Potapov, Oleksii, Barach, Paul, Rems, Miran, Bello, Ricardo J., Nijhawan, Sheetal, Oslock, Wendelyn M., Sathe, Tejas S., Hall, Ryan P., Miller, Benjamin, Samreen, Sarah, Chung, Jimmy, Marfo, Nana, Lim, Robert B., Vandeberg, Jonathan, Eussen, Myrthe M., Bouvy, Nicole D., and Sylla, Patricia

Published
2024
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2. EAES/SAGES evidence-based recommendations and expert consensus on optimization of perioperative care in older adults

Author

Keller, Deborah S., Curtis, Nathan, Burt, Holly Ann, Ammirati, Carlo Alberto, Collings, Amelia T., Polk, Jr, Hiram C., Carrano, Francesco Maria, Antoniou, Stavros A., Hanna, Nader, Piotet, Laure-Meline, Hill, Sarah, Cuijpers, Anne C. M., Tejedor, Patricia, Milone, Marco, Andriopoulou, Eleni, Kontovounisios, Christos, Leeds, Ira L., Awad, Ziad T., Barber, Meghan Wandtke, Al-Mansour, Mazen, Nassif, George, West, Malcolm A., Pryor, Aurora D., Carli, Franco, Demartines, Nicholas, Bouvy, Nicole D., Passera, Roberto, Arezzo, Alberto, and Francis, Nader

Published
2024
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4. Safety of laparoscopic cholecystectomy performed by trainee surgeons with different cholangiographic techniques (SCOTCH): a prospective non-randomized trial on the impact of fluorescent cholangiography during laparoscopic cholecystectomy performed by trainees

Author

Ortenzi, Monica, Corallino, Diletta, Botteri, Emanuele, Balla, Andrea, Arezzo, Alberto, Sartori, Alberto, Reddavid, Rossella, Montori, Giulia, Guerrieri, Mario, Williams, Sophie, and Podda, Mauro

Published
2024
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7. Colonoscopy Navigation using End-to-End Deep Visuomotor Control: A User Study

Author

Pore, Ameya, Finocchiaro, Martina, Dall'Alba, Diego, Hernansanz, Albert, Ciuti, Gastone, Arezzo, Alberto, Menciassi, Arianna, Casals, Alicia, and Fiorini, Paolo

Subjects
Computer Science - Robotics, Computer Science - Artificial Intelligence
Abstract

Flexible endoscopes for colonoscopy present several limitations due to their inherent complexity, resulting in patient discomfort and lack of intuitiveness for clinicians. Robotic devices together with autonomous control represent a viable solution to reduce the workload of endoscopists and the training time while improving the overall procedure outcome. Prior works on autonomous endoscope control use heuristic policies that limit their generalisation to the unstructured and highly deformable colon environment and require frequent human intervention. This work proposes an image-based control of the endoscope using Deep Reinforcement Learning, called Deep Visuomotor Control (DVC), to exhibit adaptive behaviour in convoluted sections of the colon tract. DVC learns a mapping between the endoscopic images and the control signal of the endoscope. A first user study of 20 expert gastrointestinal endoscopists was carried out to compare their navigation performance with DVC policies using a realistic virtual simulator. The results indicate that DVC shows equivalent performance on several assessment parameters, being more safer. Moreover, a second user study with 20 novice participants was performed to demonstrate easier human supervision compared to a state-of-the-art heuristic control policy. Seamless supervision of colonoscopy procedures would enable interventionists to focus on the medical decision rather than on the control problem of the endoscope., Comment: Accepted in IROS2022

Published
2022

8. Diverticulitis, surgery, evidence-based medicine, and the Steve Jobs’ dots: a narrative review

Author

Agresta, Ferdinando, Montori, Giulia, Podda, Mauro, Ortenzi, Monica, Giordano, Alessio, Bergamini, Carlo, Mazzarolo, Giorgio, Licitra, Edelweiss, Gobbi, Tobia, Procida, Giuseppa, Borgo, Andrea Dal, Botteri, Emanuele, Ansaloni, Luca, Fugazzola, Paola, Savino, Grazia, Guerrieri, Mario, Campanile, Fabio Cesare, Sartori, Alberto, Petz, Wanda, Silecchia, Gianfranco, di Saverio, Salomone, Catena, Fausto, Agrusa, Antonino, Salemi, Michelangelo, Morales-Conde, Salvador, and Arezzo, Alberto

Published
2024
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10. Correction: Safety of laparoscopic cholecystectomy performed by trainee surgeons with different cholangiographic techniques (SCOTCH): a prospective non-randomized trial on the impact of fluorescent cholangiography during laparoscopic cholecystectomy performed by trainees

Author

Ortenzi, Monica, Corallino, Diletta, Botteri, Emanuele, Balla, Andrea, Arezzo, Alberto, Sartori, Alberto, Reddavid, Rossella, Montori, Giulia, Guerrieri, Mario, Williams, Sophie, and Podda, Mauro

Published
2024
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14. Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks

Author

Brandao, Patrick, Zisimopoulos, Odysseas, Mazomenos, Evangelos, Ciuti, Gastone, Bernal, Jorge, Visentini-Scarzanella, Marco, Menciassi, Arianna, Dario, Paolo, Koulaouzidis, Anastasios, Arezzo, Alberto, Hawkes, David J, and Stoyanov, Danail

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Early diagnosis is essential for the successful treatment of bowel cancers including colorectal cancer (CRC) and capsule endoscopic imaging with robotic actuation can be a valuable diagnostic tool when combined with automated image analysis. We present a deep learning rooted detection and segmentation framework for recognizing lesions in colonoscopy and capsule endoscopy images. We restructure established convolution architectures, such as VGG and ResNets, by converting them into fully-connected convolution networks (FCNs), fine-tune them and study their capabilities for polyp segmentation and detection. We additionally use Shape from-Shading (SfS) to recover depth and provide a richer representation of the tissue's structure in colonoscopy images. Depth is incorporated into our network models as an additional input channel to the RGB information and we demonstrate that the resulting network yields improved performance. Our networks are tested on publicly available datasets and the most accurate segmentation model achieved a mean segmentation IU of 47.78% and 56.95% on the ETIS-Larib and CVC-Colon datasets, respectively. For polyp detection, the top performing models we propose surpass the current state of the art with detection recalls superior to 90% for all datasets tested. To our knowledge, we present the first work to use FCNs for polyp segmentation in addition to proposing a novel combination of SfS and RGB that boosts performance, Comment: 10 pages, 6 figures

Published
2021
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16. EAES rapid guideline: systematic review, meta-analysis, GRADE assessment, and evidence-informed European recommendations on appendicitis in pregnancy

Author

Adamina, Michel, Andreou, Anthoula, Arezzo, Alberto, Christogiannis, Christos, Di Lorenzo, Nicola, Gioumidou, Meropi, Glavind, Julie, Iavazzo, Christos, Mavridis, Dimitrios, Muysoms, Filip E., Preda, Daniel, Smart, Neil J., Syropoulou, Aggeliki, Tzanis, Alexander Α., Van de Velde, Marc, Vermeulen, Joeri, and Antoniou, Stavros A.

Published
2022
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19. Intraoperative use of fluorescence with indocyanine green reduces anastomotic leak rates in rectal cancer surgery: an individual participant data analysis

Author

Arezzo, Alberto, Bonino, Marco Augusto, Ris, Frédéric, Boni, Luigi, Cassinotti, Elisa, Foo, Dominic Chi Chung, Shum, Nga Fan, Brolese, Alberto, Ciarleglio, Francesco, Keller, Deborah S, Rosati, Riccardo, De Nardi, Paola, Elmore, Ugo, Fumagalli Romario, Uberto, Jafari, Mehraneh Dorna, Pigazzi, Alessio, Rybakov, Evgeny, Alekseev, Mikhail, Watanabe, Jun, Vettoretto, Nereo, Cirocchi, Roberto, Passera, Roberto, Forcignanò, Edoardo, and Morino, Mario

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Clinical Trials and Supportive Activities, Digestive Diseases, Colo-Rectal Cancer, Clinical Research, Biomedical Imaging, Rare Diseases, Cancer, Aged, Anastomotic Leak, Data Analysis, Female, Fluorescence, Humans, Indocyanine Green, Intraoperative Care, Male, Outcome Assessment, Health Care, Prospective Studies, Randomized Controlled Trials as Topic, Rectal Neoplasms, Risk Factors, Anastomotic leak, Rectal surgery, Indocyanine green, Fluorescence imaging, Rectal cancer, Clinical Sciences, Surgery, Clinical sciences
Abstract

BackgroundFluorescence imaging by means of Indocyanine green (ICG) has been applied to intraoperatively determine the perfusion of the anastomosis. The purpose of this Individual Participant Database meta-analysis was to assess the effectiveness in decreasing the incidence of anastomotic leak (AL) after rectal cancer surgery.MethodsWe searched PubMed, Embase, Cochrane Library and ClinicalTrial.gov, EU Clinical Trials and ISRCTN registries on September 1st, 2019. We considered eligible those studies comparing the assessment of anastomotic perfusion during rectal cancer surgery by intraoperative use of ICG fluorescence compared with standard practice. We defined as primary outcome the incidence of AL at 30 days after surgery. The studies were assessed for quality by means of the ROBINS-I and the Cochrane risk tools. We calculated odds ratios (ORs) using the Individual patient data analysis, restricted to rectal lesions, according to original treatment allocation.ResultsThe review of the literature and international registries produced 15 published studies and 5 ongoing trials, for 9 of which the authors accepted to share individual participant data. 314 patients from two randomized trials, 452 from three prospective series and 564 from 4 non-randomized studies were included. Fluorescence imaging significantly reduced the incidence of AL (OR 0.341; 95% CI 0.220-0.530; p

Published
2020

23. Colorectal Stenting as Bridge to Surgery

Author

Forcignanò, Edoardo, Currado, Francesca, Lo Secco, Giacomo, Arezzo, Alberto, Wallace, Michael B., Section editor, Testoni, Pier Alberto, editor, Inoue, Haruhiro, editor, and Wallace, Michael B., editor

Published
2022
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25. Development and validity evidence of an objective structured assessment of technical skills score for minimally invasive linear-stapled, hand-sewn intestinal anastomoses: the A-OSATS score

Author

Schmidt, Mona W., Haney, Caelan M., Kowalewski, Karl-Friedrich, Bintintan, Vasile V., Abu Hilal, Mohammed, Arezzo, Alberto, Bahra, Marcus, Besselink, Marc G., Biebl, Matthias, Boni, Luigi, Diana, Michele, Egberts, Jan H., Fischer, Lars, Francis, Nader, Hashimoto, Daniel A., Perez, Daniel, Schijven, Marlies, Schmelzle, Moritz, Soltes, Marek, Swanstrom, Lee, Welsch, Thilo, Müller-Stich, Beat P., and Nickel, Felix

Published
2022
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31. UEG and EAES rapid guideline: Systematic review, meta-analysis, GRADE assessment and evidence-informed European recommendations on TaTME for rectal cancer

Author

Milone, Marco, Adamina, Michel, Arezzo, Alberto, Bejinariu, Nona, Boni, Luigi, Bouvy, Nicole, de Lacy, F Borja, Dresen, Raphaëla, Ferentinos, Konstantinos, Francis, Nader K., Mahaffey, Joe, Penna, Marta, Theodoropoulos, George, Kontouli, Katerina Maria, Mavridis, Dimitris, Vandvik, Per Olav, and Antoniou, Stavros A.

Published
2022
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32. Ethical implications of AI in robotic surgical training: A Delphi consensus statement

Author

Collins, Justin W., Marcus, Hani J., Ghazi, Ahmed, Sridhar, Ashwin, Hashimoto, Daniel, Hager, Gregory, Arezzo, Alberto, Jannin, Pierre, Maier-Hein, Lena, Marz, Keno, Valdastri, Pietro, Mori, Kensaku, Elson, Daniel, Giannarou, Stamatia, Slack, Mark, Hares, Luke, Beaulieu, Yanick, Levy, Jeff, Laplante, Guy, Ramadorai, Arvind, Jarc, Anthony, Andrews, Ben, Garcia, Pablo, Neemuchwala, Huzefa, Andrusaite, Alina, Kimpe, Tom, Hawkes, David, Kelly, John D., and Stoyanov, Danail

Published
2022
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35. Current status on the adoption of high energy devices in Italy: An Italian Society for Endoscopic Surgery and New Technologies (SICE) national survey

Author

Botteri, Emanuele, Podda, Mauro, Arezzo, Alberto, Vettoretto, Nereo, Sartori, Alberto, Agrusa, Antonino, Allaix, Marco Ettore, Anania, Gabriele, Brachet Contul, Riccardo, Caracino, Valerio, Cassinotti, Elisa, Cuccurullo, Diego, D’Ambrosio, Giancarlo, Milone, Marco, Muttillo, Irnerio, Petz, Wanda Luisa, Pisano, Marcello, Guerrieri, Mario, Silecchia, Gianfranco, and Agresta, Ferdinando

Published
2021
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39. Obstructing Colorectal Tumor

Author

Arezzo, Alberto, Lo Secco, Giacomo, Distefano, Giovanni, Forcignanò, Edoardo, Morino, Mario, Agresta, Ferdinando, editor, Podda, Mauro, editor, Campanile, Fabio Cesare, editor, Bergamini, Carlo, editor, and Anania, Gabriele, editor

Published
2021
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42. Contributors

Author

Abad, Sara-Adela, primary, Arezzo, Alberto, additional, Balducci Romano, Fabio, additional, Chikhaoui, M. Taha, additional, Ciuti, Gastone, additional, Cochran, Sandy, additional, Costantini, Federico, additional, Dapri, Giovanni, additional, Elhajji, Majdi, additional, Guo, Bingyong, additional, Homer-Vanniasinkam, Shervanthi, additional, Huan, Yu, additional, Jarray, Nedra, additional, Liu, Yang, additional, Loh, Erwin, additional, Manfredi, Luigi, additional, Milazzo, Mario, additional, Mitra, Srinjoy, additional, Moglia, Andrea, additional, Moldovan, Alexandru C., additional, Motzki, Paul, additional, Nguyen, Tam, additional, Pott, Peter P., additional, Prasad, Shyam, additional, Raffaini, Pietro, additional, Rizzello, Gianluca, additional, Romano, Fabio Balducci, additional, Rosa, Benoît, additional, Soncini, Giada, additional, Stefanini, Cesare, additional, Tian, Jiyuan, additional, Turcanu, Mihnea V., additional, Wurdemann, Helge A., additional, and Zitouni, Abdelkrim, additional

Published
2022
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50. Fluorescence-based cholangiography: preliminary results from the IHU-IRCAD-EAES EURO-FIGS registry

Author

Agnus, Vincent, Pesce, Antonio, Boni, Luigi, Van Den Bos, Jacqueline, Morales-Conde, Salvador, Paganini, Alessandro M., Quaresima, Silvia, Balla, Andrea, La Greca, Gaetano, Plaudis, Haralds, Moretto, Gianluigi, Castagnola, Maurizio, Santi, Caterina, Casali, Lorenzo, Tartamella, Luciano, Saadi, Alend, Picchetto, Andrea, Arezzo, Alberto, Marescaux, Jacques, and Diana, Michele

Published
2020
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