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1,734 results on '"Rosati, Riccardo"'

1. Controlled Query Evaluation through Epistemic Dependencies

Author

Cima, Gianluca, Lembo, Domenico, Marconi, Lorenzo, Rosati, Riccardo, and Savo, Domenico Fabio

Subjects
Computer Science - Artificial Intelligence
Abstract

In this paper, we propose the use of epistemic dependencies to express data protection policies in Controlled Query Evaluation (CQE), which is a form of confidentiality-preserving query answering over ontologies and databases. The resulting policy language goes significantly beyond those proposed in the literature on CQE so far, allowing for very rich and practically interesting forms of data protection rules. We show the expressive abilities of our framework and study the data complexity of CQE for (unions of) conjunctive queries when ontologies are specified in the Description Logic DL-Lite_R. Interestingly, while we show that the problem is in general intractable, we prove tractability for the case of acyclic epistemic dependencies by providing a suitable query rewriting algorithm. The latter result paves the way towards the implementation and practical application of this new approach to CQE.

Published
2024

2. Consistent Query Answering for Existential Rules with Closed Predicates

Author

Marconi, Lorenzo and Rosati, Riccardo

Subjects
Computer Science - Artificial Intelligence
Abstract

Consistent Query Answering (CQA) is an inconsistency-tolerant approach to data access in knowledge bases and databases. The goal of CQA is to provide meaningful (consistent) answers to queries even in the presence of inconsistent information, e.g. a database whose data conflict with meta-data (typically the database integrity constraints). The semantics of CQA is based on the notion of repair, that is, a consistent version of the initial, inconsistent database that is obtained through minimal modifications. We study CQA in databases with data dependencies expressed by existential rules. More specifically, we focus on the broad class of disjunctive embedded dependencies with inequalities (DEDs), which extend both tuple-generating dependencies and equality-generated dependencies. We first focus on the case when the database predicates are closed, i.e. the database is assumed to have complete knowledge about such predicates, thus no tuple addition is possible to repair the database. In such a scenario, we provide a detailed analysis of the data complexity of CQA and associated tasks (repair checking) under different semantics (AR and IAR) and for different classes of existential rules. In particular, we consider the classes of acyclic, linear, full, sticky and guarded DEDs, and their combinations., Comment: 31 pages. arXiv admin note: text overlap with arXiv:2207.09198

Published
2024

5. A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data

Author

Vargas, Víctor Manuel, Rosati, Riccardo, Hervás-Martínez, César, Mancini, Adriano, Romeo, Luca, and Gutiérrez, Pedro Antonio

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence, I.2.1, I.5.4
Abstract

Predictive Maintenance (PdM) methods aim to facilitate the scheduling of maintenance work before equipment failure. In this context, detecting early faults in automated teller machines (ATMs) has become increasingly important since these machines are susceptible to various types of unpredictable failures. ATMs track execution status by generating massive event-log data that collect system messages unrelated to the failure event. Predicting machine failure based on event logs poses additional challenges, mainly in extracting features that might represent sequences of events indicating impending failures. Accordingly, feature learning approaches are currently being used in PdM, where informative features are learned automatically from minimally processed sensor data. However, a gap remains to be seen on how these approaches can be exploited for deriving relevant features from event-log-based data. To fill this gap, we present a predictive model based on a convolutional kernel (MiniROCKET and HYDRA) to extract features from the original event-log data and a linear classifier to classify the sample based on the learned features. The proposed methodology is applied to a significant real-world collected dataset. Experimental results demonstrated how one of the proposed convolutional kernels (i.e. HYDRA) exhibited the best classification performance (accuracy of 0.759 and AUC of 0.693). In addition, statistical analysis revealed that the HYDRA and MiniROCKET models significantly overcome one of the established state-of-the-art approaches in time series classification (InceptionTime), and three non-temporal ML methods from the literature. The predictive model was integrated into a container-based decision support system to support operators in the timely maintenance of ATMs.

Published
2023

6. Total Minimally Invasive Ivor Lewis Esophagectomy (TMIE)

Author

Quattromani, Roberto, Puccetti, Francesco, Cossu, Andrea, Barbieri, Lavinia, Cinelli, Lorenzo, Casiraghi, Umberto, Elmore, Ugo, Rosati, Riccardo, Milone, Marco, editor, Agresta, Ferdinando, editor, Guerrieri, Mario, editor, Petz, Wanda, editor, Arezzo, Alberto, editor, and Casarano, Salvatore, editor

Published
2024
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7. Optimising surgical anastomosis in ileocolic resection for Crohn’s disease with respect to recurrence and functionality: two international parallel randomized controlled trials comparing handsewn (END-to-end or Kono-S) to stapled anastomosis (HAND2END and the End2End STUDIES)

Author

Haanappel, Anouck E. G., Bellato, Vittoria, Buskens, Christianne J., Armuzzi, Alessandro, van der Bilt, Jarmila D. W., de Boer, Nanne K. H., Danese, Silvio, van der Does de Willebois, Eline M. L., Duijvestein, Marjolijn, van der Horst, Daniëlle, Pellino, Gianluca, Richir, Milan C., Selvaggi, Francesco, Spinelli, Antonino, Vignali, Andrea, Rosati, Riccardo, and Bemelman, Willem A.

Published
2024
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11. CQE in OWL 2 QL: A 'Longest Honeymoon' Approach (extended version)

Author

Bonatti, Piero, Cima, Gianluca, Lembo, Domenico, Marconi, Lorenzo, Rosati, Riccardo, Sauro, Luigi, and Savo, Domenico Fabio

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

Controlled Query Evaluation (CQE) has been recently studied in the context of Semantic Web ontologies. The goal of CQE is concealing some query answers so as to prevent external users from inferring confidential information. In general, there exist multiple, mutually incomparable ways of concealing answers, and previous CQE approaches choose in advance which answers are visible and which are not. In this paper, instead, we study a dynamic CQE method, namely, we propose to alter the answer to the current query based on the evaluation of previous ones. We aim at a system that, besides being able to protect confidential data, is maximally cooperative, which intuitively means that it answers affirmatively to as many queries as possible; it achieves this goal by delaying answer modifications as much as possible. We also show that the behavior we get cannot be intensionally simulated through a static approach, independent of query history. Interestingly, for OWL 2 QL ontologies and policy expressed through denials, query evaluation under our semantics is first-order rewritable, and thus in AC0 in data complexity. This paves the way for the development of practical algorithms, which we also preliminarily discuss in the paper., Comment: This paper is the extended version of "P.Bonatti, G.Cima, D.Lembo, L.Marconi, R.Rosati, L.Sauro, and D.F.Savo. Controlled query evaluation in OWL 2 QL: A "Longest Honeymoon" approach" accepted for publication at ISWC 2022

Published
2022
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12. Consistent Query Answering for Expressive Constraints under Tuple-Deletion Semantics

Author

Marconi, Lorenzo and Rosati, Riccardo

Subjects
Computer Science - Databases
Abstract

We study consistent query answering in relational databases. We consider an expressive class of schema constraints that generalizes both tuple-generating dependencies and equality-generating dependencies. We establish the complexity of consistent query answering and repair checking under tuple-deletion semantics for different fragments of the above constraint language. In particular, we identify new subclasses of constraints in which the above problems are tractable or even first-order rewritable.

Published
2022

13. AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes

Author

Maranghi, Marianna, Anagnostopoulos, Aris, Cannistraci, Irene, Chatzigiannakis, Ioannis, Croce, Federico, Di Teodoro, Giulia, Gentile, Michele, Grani, Giorgio, Lenzerini, Maurizio, Leonardi, Stefano, Mastropietro, Andrea, Palagi, Laura, Pappa, Massimiliano, Rosati, Riccardo, Valentini, Riccardo, and Velardi, Paola

Subjects
Computer Science - Machine Learning, Computer Science - Databases
Abstract

The Associazione Medici Diabetologi (AMD) collects and manages one of the largest worldwide-available collections of diabetic patient records, also known as the AMD database. This paper presents the initial results of an ongoing project whose focus is the application of Artificial Intelligence and Machine Learning techniques for conceptualizing, cleaning, and analyzing such an important and valuable dataset, with the goal of providing predictive insights to better support diabetologists in their diagnostic and therapeutic choices., Comment: The work has been presented at the conference Ital-IA 2022 (https://www.ital-ia2022.it/)

Published
2022

14. Use of fluorescence imaging and indocyanine green for sentinel node mapping during gastric cancer surgery: Results of an intercontinental Delphi survey.

Author

Sherwinter, Danny, Boni, Luigi, Bouvet, Michael, Ferri, Lorenzo, Hyung, Woo, Ishizawa, Takeaki, Kaleya, Ronald, Kelly, Kaitlyn, Kokudo, Norihiro, Lanzarini, Enrique, Luyer, Misha, Mitsumori, Norio, Mueller, Carmen, Park, Doo, Ribero, Dario, Rosati, Riccardo, Ruurda, Jelle, Sosef, Meindert, Schneider-Koraith, Sylke, Spinoglio, Giuseppe, Strong, Vivian, Takahashi, Naoto, Takeuchi, Hiroya, Wijnhoven, Bas, Yang, Han-Kwang, Dip, Fernando, Lo Menzo, Emanuele, White, Kevin, and Rosenthal, Raul

Subjects
Humans, Indocyanine Green, Stomach Neoplasms, Sentinel Lymph Node Biopsy, Optical Imaging, Sentinel Lymph Node
Abstract

BACKGROUND: Understanding the extent of tumor spread to local lymph nodes is critical to managing early-stage gastric cancer. Recently, fluorescence imaging with indocyanine green has been used to identify and characterize sentinel lymph nodes during gastric cancer surgery, but no published guidelines exist. We sought to identify areas of consensus among international experts in the use of fluorescence imaging with indocyanine green for mapping sentinel lymph nodes during gastric-cancer surgery. METHODS: In this 2-round, online Delphi survey, 27 international experts voted on 79 statements pertaining to patient preparation and contraindications to fluorescence imaging with indocyanine green during gastric cancer surgery; indications; technical aspects; advantages/disadvantages and limitations; and training and research. Methodological steps were adopted during survey design to minimize bias. RESULTS: Consensus was reached on 61 of 79 statements, including giving single injections of indocyanine green into each of the 4 quadrants peritumorally, administering indocyanine green on the same day as surgery, injecting a total of 1 to 5 mL of 5 mg/mL indocyanine green, injecting endoscopically into submucosa, and repeating indocyanine green injections a second time if sentinel lymph node visualization remains inadequate. Consensus also was reached that fluorescence imaging with indocyanine green is an acceptable single-agent modality for sentinel lymph node identification and that the sentinel lymph node basin method is preferred. However, sentinel lymph node dissection should be limited to T1 gastric cancer and tumors ≤4 cm in diameter, and further research is necessary to optimize the technique and render fluorescence-guided sentinel lymph nodes dissection acceptable for routine clinical use. CONCLUSION: Although considerable consensus was achieved, further research is necessary before this technology should be used in routine practice.

Published
2022

19. Three-year survival and distribution of lymph node metastases in gastric cancer following neoadjuvant chemotherapy: results from a European randomized clinical trial

Author

van der Wielen, Nicole, Daams, Freek, Rosati, Riccardo, Parise, Paolo, Weitz, Jürgen, Reissfelder, Christoph, del Val, Ismael Diez, Loureiro, Carlos, Parada-González, Purificación, Pintos-Martínez, Elena, Vallejo, Francisco Mateo, Achirica, Carlos Medina, Sánchez-Pernaute, Andrés, Campos, Adriana Ruano, Bonavina, Luigi, Asti, Emanuele L. G., Poza, Alfredo Alonso, Gilsanz, Carlos, Nilsson, Magnus, Lindblad, Mats, Gisbertz, Suzanne S., van Berge Henegouwen, Mark I., Romario, Uberto Fumagalli, De Pascale, Stefano, Akhtar, Khurshid, Cuesta, Miguel A., van der Peet, Donald L., and Straatman, Jennifer

Published
2023
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20. Endoscopic vacuum therapy versus self-expandable metal stent for treatment of anastomotic leaks < 30 mm following oncologic Ivor-Lewis esophagectomy: a matched case–control study

Author

Mandarino, Francesco Vito, Barchi, Alberto, Leone, Lorenzo, Fanti, Lorella, Azzolini, Francesco, Viale, Edi, Esposito, Dario, Salmeri, Noemi, Puccetti, Francesco, Barbieri, Lavinia, Cossu, Andrea, Treppiedi, Elio, Elmore, Ugo, Rosati, Riccardo, and Danese, Silvio

Published
2023
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21. European clinical practice guidelines for the definition, diagnosis, and treatment of oligometastatic esophagogastric cancer (OMEC-4)

Author

Kroese, Tiuri E., Bronzwaer, Sebastiaan, van Rossum, Peter S.N., Schoppman, Sebastian F., Deseyne, Pieter R.A.J., van Cutsem, Eric, Haustermans, Karin, Nafteux, Philippe, Thomas, Melissa, Obermannova, Radka, Mortensen, Hanna R., Nordsmark, Marianne, Pfeiffer, Per, Elme, Anneli, Adenis, Antoine, Piessen, Guillaume, Bruns, Christiane J., Lordick, Florian, Gockel, Ines, Moehler, Markus, Gani, Cihan, Liakakos, Theodore, Reynolds, John V., Morganti, Alessio G., Rosati, Riccardo, Castoro, Carlo, Cellini, Francesco, D'Ugo, Domenico, Roviello, Franco, Bencivenga, Maria, de Manzoni, Giovanni, van Berge Henegouwen, Mark I., Hulshoff, Maarten C.C.M, van Dieren, Jolanda, Vollebergh, Marieke, van Sandick, Johanna W., Jeene, Paul, Muijs, Christel, Slingerland, Marije, Voncken, Francine E.M., Hartgrink, Henk, Creemers, Geert-Jan, van der Sangen, Maurice J.C., Nieuwenhuijzen, Grard A.P., Berbee, Maaike, Verheij, Marcel, Wijnhoven, Bas, Beerepoot, Laurens V., Mohammad, Nadia Haj, Mook, Stella, Ruurda, Jelle P., Kolodziejczyk, Piotr, Polkowski, Wojciech P., Wyrwicz, Lucjan, Alsina, Maria, Tabernero, Josep, Pera, Manuel, Kanonnikoff, Tania F., Cervantes, Andrés, Nilsson, Magnus, Monig, Stefan, Wagner, Anna D., Guckenberger, Matthias, Griffiths, Ewen A., Smyth, Elizabeth, Hanna, George B., Markar, Sheraz, Chaudry, M. Asif, Hawkins, Maria A., Cheong, Edward, van Laarhoven, Hanneke W.M., and van Hillegersberg, Richard

Published
2024
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23. Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques

Author

Rosati, Riccardo, Romeo, Luca, Vargas, Víctor Manuel, Gutiérrez, Pedro Antonio, Hervás-Martínez, César, Bianchini, Lorenzo, Capriotti, Alessandra, Capparuccia, Rosario, Frontoni, Emanuele, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, García Bringas, Pablo, editor, Pérez García, Hilde, editor, Martinez-de-Pison, Francisco Javier, editor, Villar Flecha, José Ramón, editor, Troncoso Lora, Alicia, editor, de la Cal, Enrique A., editor, Herrero, Álvaro, editor, Martínez Álvarez, Francisco, editor, Psaila, Giuseppe, editor, Quintián, Héctor, editor, and Corchado Rodriguez, Emilio S., editor

Published
2023
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24. A national survey on the current status of minimally invasive gastric practice on behalf of GIRCG

Author

Milone, Marco, D’Amore, Anna, Alfieri, Sergio, Ambrosio, Maria Raffaella, Andreuccetti, Jacopo, Ansaloni, Luca, Antonucci, Adelmo, Arganini, Marco, Baiocchi, Gianluca, Barone, Mirko, Bencini, Lapo, Bencivenga, Maria, Boccia, Luigi, Boni, Luigi, Braga, Marco, Cianchi, Fabio, Cipollari, Chiara, Contine, Alessandro, Cotsoglou, Christian, D’Imporzano, Simone, De Manzoni, Giovanni, De Pascale, Stefano, De Ruvo, Nicola, Degiuli, Maurizio, Donini, Annibale, Elmore, Ugo, Ercolani, Giorgio, Ferrari, Giovanni, Fumagalli, Romario Uberto, Garulli, Gianluca, Gelmini, Roberta, Graziosi, Luigina, Gualtierotti, Monica, Guglielmi, Alfredo, Inama, Marco, Maffeis, Federica, Maione, Francesco, Manigrasso, Michele, Marchesi, Federico, Marrelli, Daniele, Massobrio, Andrea, Moretto, Gianluigi, Moukachar, Aballah, Navarra, Giuseppe, Nigri, Giuseppe, Olmi, Stefano, Palaia, Raffaele, Papis, Davide, Parise, Paolo, Pedrazzani, Corrado, Petri, Roberto, Pignata, Giusto, Pisano, Michele, Rausei, Stefano, Reddavid, Rossella, Rocco, Giuseppe, Rosa, Fausto, Rosati, Riccardo, Rossit, Luca, Rottoli, Matteo, Roviello, Franco, Santi, Stefano, Scabini, Stefano, Scaringi, Stefano, Solaini, Leonardo, Staderini, Fabio, Taglietti, Lucio, Torre, Beatrice, Ubiali, Paolo, Uccelli, Matteo, Uggeri, Fabio, Vertaldi, Sara, Viganò, Jacopo, De Palma, Giovanni Domenico, and Giacopuzzi, Simone

Published
2023
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28. Sarcopenia and Patient’s Body Composition: New Morphometric Tools to Predict Clinical Outcome After Ivor Lewis Esophagectomy: a Multicenter Study

Author

Cossu, Andrea, Palumbo, Diego, Battaglia, Silvia, Parise, Paolo, De Pascale, Stefano, Gualtierotti, Monica, Vecchiato, Massimo, Scotti, Giulia Maria, Gritti, Chiara, Bettinelli, Andrea, Puccetti, Francesco, Barbieri, Lavinia, Fabbi, Manrica, Funicelli, Luigi, Bonfitto, Giuseppe Roberto, De Martini, Paolo, Martino, Antonio, Ziccarelli, Antonio, Fapranzi, Stefano, Ravizzini, Lidia, Uzzau, Alessandro, Fumagalli Romario, Uberto, Ferrari, Giovanni, Petri, Roberto, Elmore, Ugo, De Cobelli, Francesco, and Rosati, Riccardo

Published
2023
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30. Minimally invasive vs. open segmental resection of the splenic flexure for cancer: a nationwide study of the Italian Society of Surgical Oncology-Colorectal Cancer Network (SICO-CNN)

Author

Degiuli, Maurizio, Ortenzi, Monica, Tomatis, Mariano, Puca, Lucia, Cianflocca, Desiree, Rega, Daniela, Maroli, Annalisa, Elmore, Ugo, Pecchini, Francesca, Milone, Marco, La Mendola, Roberta, Soligo, Erica, Deidda, Simona, Spoletini, Domenico, Cassini, Diletta, Aprile, Alessandra, Mineccia, Michela, Nikaj, Herald, Marchegiani, Francesco, Maiello, Fabio, Bombardini, Cristina, Zuolo, Michele, Carlucci, Michele, Ferraro, Luca, Falato, Armando, Biondi, Alberto, Persiani, Roberto, Marsanich, Patrizia, Fusario, Daniele, Solaini, Leonardo, Pollesel, Sara, Rizzo, Gianluca, Coco, Claudio, Di Leo, Alberto, Cavaliere, Davide, Roviello, Franco, Muratore, Andrea, D’Ugo, Domenico, Bianco, Francesco, Bianchi, Paolo Pietro, De Nardi, Paola, Rigamonti, Marco, Anania, Gabriele, Belluco, Claudio, Polastri, Roberto, Pucciarelli, Salvatore, Gentilli, Sergio, Ferrero, Alessandro, Scabini, Stefano, Baldazzi, Gianandrea, Carlini, Massimo, Restivo, Angelo, Testa, Silvio, Parini, Dario, De Palma, Giovanni Domenico, Piccoli, Micaela, Rosati, Riccardo, Spinelli, Antonino, Delrio, Paolo, Borghi, Felice, Guerrieri, Marco, and Reddavid, Rossella

Published
2023
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33. Clinical outcomes of patients with complicated post-operative course after gastrectomy for cancer: a GIRCG study using the GASTRODATA registry

Author

Baiocchi, Gian Luca, Giacopuzzi, Simone, Vittimberga, Giovanni, De Pascale, Stefano, Pastorelli, Elisabetta, Gelmini, Roberta, Viganò, Jacopo, Graziosi, Luigina, Vagliasindi, Alessio, Rosa, Fausto, Steccanella, Francesca, Demartini, Paolo, Reddavid, Rossella, Berselli, Mattia, Elmore, Ugo, Romario, Uberto Fumagalli, Degiuli, Maurizio, Morgagni, Paolo, Marrelli, Daniele, D’Ugo, Domenico, Rosati, Riccardo, and De Manzoni, Giovanni

Published
2023
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35. CQE in Description Logics Through Instance Indistinguishability (extended version)

Author

Cima, Gianluca, Lembo, Domenico, Rosati, Riccardo, and Savo, Domenico Fabio

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

We study privacy-preserving query answering in Description Logics (DLs). Specifically, we consider the approach of controlled query evaluation (CQE) based on the notion of instance indistinguishability. We derive data complexity results for query answering over DL-Lite$_{\mathcal{R}}$ ontologies, through a comparison with an alternative, existing confidentiality-preserving approach to CQE. Finally, we identify a semantically well-founded notion of approximated query answering for CQE, and prove that, for DL-Lite$_{\mathcal{R}}$ ontologies, this form of CQE is tractable with respect to data complexity and is first-order rewritable, i.e., it is always reducible to the evaluation of a first-order query over the data instance., Comment: 9 pages

Published
2020

36. Delayed Surgical Intervention After Chemoradiotherapy in Esophageal Cancer: (DICE) Study

Author

Chidambaram, Swathikan, Owen, Richard, Sgromo, Bruno, Chmura, Magdalena, Kisiel, Aaron, Evans, Richard, Griffiths, Ewen A., Castoro, Carlo, Gronnier, Caroline, MaoAwyes, Mometo Ali, Gutschow, Christian A., Piessen, Guillaume, Degisors, Sébastien, Alvieri, Rita, Feldman, Hope, Capovilla, Giovanni, Grimminger, Peter P., Han, Shiwei, Low, Donald E., Moore, Jonathan, Gossage, James, Voeten, Dan, Gisbertz, Suzanne S., Ruurda, Jelle, van Hillegersberg, Richard, D’Journo, Xavier B., Chmelo, Jakub, Phillips, Alexander W., Rosati, Riccardo, Hanna, George B., Maynard, Nick, Hofstetter, Wayne, Ferri, Lorenzo, Berge Henegouwen, Mark I., and Markar, Sheraz R.

Published
2023
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37. Contributors

Author

Allaix, Marco E., primary, Andrade, Vera Lucia Angelo, additional, Azevedo, Renata, additional, Barbieri, Lavinia, additional, Costantini, Andrea, additional, Costantini, Mario, additional, Desai, Nirmal, additional, El Moheb, Mohamad, additional, Herbella, Fernando Augusto Mardiros, additional, Hermann, Lauren, additional, Huffman, Julie, additional, Hunold, Thomas, additional, Kaperak, Christopher, additional, Martin, Linda W., additional, Mervak, Benjamin M., additional, Neto, Rafael Melillo Laurino, additional, Olinger, Kristen, additional, Patti, Marco G., additional, Puccetti, Francesco, additional, Rebecchi, Fabrizio, additional, Robert, Kavitt, additional, Rosati, Riccardo, additional, Salvador, Renato, additional, Schlottmann, Francisco, additional, Ugliono, Elettra, additional, Veloso, Júlio César de Soares, additional, Viktorsson, Sindri A., additional, Wang, Wenfei, additional, Watson, Thomas J., additional, Young, Andrew M., additional, and Young, Chris, additional

Published
2023
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39. 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

40. Correction: Three-year survival and distribution of lymph node metastases in gastric cancer following neoadjuvant chemotherapy: results from a European randomized clinical trial

Author

van der Wielen, Nicole, Daams, Freek, Rosati, Riccardo, Parise, Paolo, Weitz, Jürgen, Reissfelder, Christoph, del Val, Ismael Diez, Loureiro, Carlos, Parada-González, Purificación, Pintos-Martínez, Elena, Vallejo, Francisco Mateo, Achirica, Carlos Medina, Sánchez-Pernaute, Andrés, Campos, Adriana Ruano, Bonavina, Luigi, Asti, Emanuele L. G., Poza, Alfredo Alonso, Gilsanz, Carlos, Nilsson, Magnus, Lindblad, Mats, Gisbertz, Suzanne S., van Berge Henegouwen, Mark I., Romario, Uberto Fumagalli, De Pascale, Stefano, Akhtar, Khurshid, Cuesta, Miguel A., van der Peet, Donald L., and Straatman, Jennifer

Published
2023
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41. Definition, diagnosis and treatment of oligometastatic oesophagogastric cancer: A Delphi consensus study in Europe

Author

Rozema, Tom, Heisterkamp, Joos, Schaefer, Markus, Ozsahin, Esat-Mahmut, de Haan, Jacco, Willem van den Berg, Jan, Duprez, Frederic, Callebout, Eduard, van Daele, Elke, Hacker, Ulrich, Hoffmeister, Albrecht, Kuhnt, Thomas, Denecke, Timm, Kluge, Regine, Prager, Gerald, Ilhan-Mutlu, A., Cuicchi, Dajana, Ardizzoni, Andrea, Rosman, Camiel, Gootjes, Elske C., Rütten, Heidi, Puccetti, Francesco, Cascinu, Stefano, Slim, Najla, Barrios, Maria Eugenia, Fernandez, Maria Carmen, Martí-Oriol, Roberto, Alvaro, Marisol Huerta, Vera, Almudena, Jordá, Esther, Mozos, Fernando L., Reig, Anna, Visa, Laura, Ciseł, Bogumiła, Czechowska, Joanna, Kwietniewska, Magdalena, Pikuła, Agnieszka, Skórzewska, Magdalena, Kozłowska, Aleksandra, Rawicz-Pruszyński, Karol, Kroese, Tiuri E., van Laarhoven, Hanneke W.M., Schoppman, Sebastian F., Deseyne, Pieter R.A.J., van Cutsem, Eric, Haustermans, Karin, Nafteux, Philippe, Thomas, Melissa, Obermannova, Radka, Mortensen, Hanna R., Nordsmark, Marianne, Pfeiffer, Per, Elme, Anneli, Adenis, Antoine, Piessen, Guillaume, Bruns, Christiane J., Lordick, Florian, Gockel, Ines, Moehler, Markus, Gani, Cihan, Liakakos, Theodore, Reynolds, John, Morganti, Alessio G., Rosati, Riccardo, Castoro, Carlo, Cellini, Francesco, D'Ugo, Domenico, Roviello, Franco, Bencivenga, Maria, de Manzoni, Giovanni, van Berge Henegouwen, Mark I., Hulshof, Maarten C.C.M., van Dieren, Jolanda, Vollebergh, Marieke, van Sandick, Johanna W., Jeene, Paul, Muijs, Christel T., Slingerland, Marije, Voncken, Francine E.M., Hartgrink, Henk, Creemers, Geert-Jan, van der Sangen, Maurice J.C., Nieuwenhuijzen, Grard, Berbee, Maaike, Verheij, Marcel, Wijnhoven, Bas, Beerepoot, Laurens V., Mohammad, Nadia H., Mook, Stella, Ruurda, Jelle P., Kolodziejczyk, Piotr, Polkowski, Wojciech P., Wyrwicz, Lucjan, Alsina, Maria, Pera, Manuel, Kanonnikoff, Tania F., Cervantes, Andrés, Nilsson, Magnus, Monig, Stefan, Wagner, Anna D., Guckenberger, Matthias, Griffiths, Ewen A., Smyth, Elizabeth, Hanna, George B., Markar, Sheraz, Chaudry, M. Asif, Hawkins, Maria A., Cheong, Edward, van Hillegersberg, Richard, and van Rossum, Peter S.N.

Published
2023
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42. Can AI Replace Conventional Markerless Tracking? A Comparative Performance Study for Mobile Augmented Reality Based on Artificial Intelligence

Author

Pierdicca, Roberto, Tonetto, Flavio, Mameli, Marco, Rosati, Riccardo, Zingaretti, Primo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, De Paolis, Lucio Tommaso, editor, Arpaia, Pasquale, editor, and Sacco, Marco, editor

Published
2022
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45. Study protocol for the OligoMetastatic Esophagogastric Cancer (OMEC) project: A multidisciplinary European consensus project on the definition and treatment for oligometastatic esophagogastric cancer

Author

Kroese, Tiuri E., van Rossum, Peter S.N., Nilsson, Magnus, Lordick, Florian, Smyth, Elizabeth C., Rosati, Riccardo, Nafteux, Philippe, D'Ugo, Domenico, Chaudry, M. Asif, Polkowkski, Wojciech, Roviello, Franco, Gockel, Ines, Kolodziejczyk, Piotr, Haustermans, Karin, Guckenberger, Matthias, Nordsmark, Marianne, Hawkins, Maria A., Cervantes, Andres, Fleitas, Tania, van Cutsem, Eric, Moehler, Markus, Wagner, Anna D., van Laarhoven, Hanneke W.M., and van Hillegersberg, Richard

Published
2023
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47. Safety and efficacy of totally minimally invasive right colectomy in the obese patients: a multicenter propensity score-matched analysis

Author

Manigrasso, Michele, Musella, Mario, Elmore, Ugo, Allaix, Marco Ettore, Bianchi, Paolo Pietro, Biondi, Alberto, Boni, Luigi, Bracale, Umberto, Cassinotti, Elisa, Ceccarelli, Graziano, Corcione, Francesco, Cuccurullo, Diego, Degiuli, Maurizio, De Manzini, Nicolò, D’Ugo, Domenico, Formisano, Giampaolo, Morino, Mario, Palmisano, Silvia, Persiani, Roberto, Reddavid, Rossella, Rondelli, Fabio, Velotti, Nunzio, Rosati, Riccardo, De Palma, Giovanni Domenico, and Milone, Marco

Published
2022
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