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1. Biomimetic Frontend for Differentiable Audio Processing

Author

Famularo, Ruolan Leslie, Zotkin, Dmitry N., Shamma, Shihab A., and Duraiswami, Ramani

Subjects
Computer Science - Sound, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

While models in audio and speech processing are becoming deeper and more end-to-end, they as a consequence need expensive training on large data, and are often brittle. We build on a classical model of human hearing and make it differentiable, so that we can combine traditional explainable biomimetic signal processing approaches with deep-learning frameworks. This allows us to arrive at an expressive and explainable model that is easily trained on modest amounts of data. We apply this model to audio processing tasks, including classification and enhancement. Results show that our differentiable model surpasses black-box approaches in terms of computational efficiency and robustness, even with little training data. We also discuss other potential applications.

Published
2024

2. Recurrence and tumor-related death after resection of hepatocellular carcinoma in patients with metabolic syndrome.

Author

Berardi, Giammauro, Cucchetti, Alessandro, Sposito, Carlo, Ratti, Francesca, Nebbia, Martina, DSouza, Daniel, Pascual, Franco, Dogeas, Epameinondas, Tohme, Samer, Vitale, Alessandro, DAmico, Francesco, Alessandris, Remo, Panetta, Valentina, Simonelli, Ilaria, Colasanti, Marco, Russolillo, Nadia, Moro, Amika, Fiorentini, Guido, Serenari, Matteo, Rotellar, Fernando, Zimitti, Giuseppe, Famularo, Simone, Ivanics, Tommy, Donando, Felipe, Hoffman, Daniel, Onkendi, Edwin, Essaji, Yasmin, Giuliani, Tommaso, Lopez Ben, Santiago, Caula, Celia, Rompianesi, Gianluca, Chopra, Asmita, Abu Hilal, Mohammed, Sapisochin, Gonzalo, Torzilli, Guido, Corvera, Carlos, Alseidi, Adnan, Helton, Scott, Troisi, Roberto, Simo, Kerri, Conrad, Claudius, Cescon, Matteo, Cleary, Sean, Kwon, David, Ferrero, Alessandro, Ettorre, Giuseppe, Cillo, Umberto, Geller, David, Cherqui, Daniel, Serrano, Pablo, Ferrone, Cristina, Aldrighetti, Luca, Kingham, T, and Mazzaferro, Vincenzo

Subjects
Hepatocellular carcinoma, Metabolic syndrome, Metabolic-associated fatty liver disease, Nonalcoholic fatty liver disease, Obesity, Recurrence, Steatosis
Abstract

BACKGROUND & AIMS: Metabolic syndrome (MS) is a growing epidemic and a risk factor for the development of hepatocellular carcinoma (HCC). This study investigated the long-term outcomes of liver resection (LR) for HCC in patients with MS. Rates, timing, patterns, and treatment of recurrences were investigated, and cancer-specific survivals were assessed. METHODS: Between 2001 and 2021, data from 24 clinical centers were collected. Overall survival (OS), recurrence-free survival (RFS), and cancer-specific survival were analyzed as well as recurrence patterns and treatment. The analysis was conducted using a competing-risk framework. The trajectory of the risk of recurrence over time was applied to a competing risk analysis. For post-recurrence survival, death resulting from tumor progression was the primary endpoint, whereas deaths with recurrence relating to other causes were considered as competing events. RESULTS: In total, 813 patients were included in the study. Median OS was 81.4 months (range 28.1-157.0 months), and recurrence occurred in 48.3% of patients, with a median RFS of 39.8 months (range 15.7-174.7 months). Cause-specific hazard of recurrence showed a first peak 6 months (0.027), and a second peak 24 months (0.021) after surgery. The later the recurrence, the higher the chance of receiving curative intent approaches (p = 0.001). Size >5 cm, multiple tumors, microvascular invasion, and cirrhosis were independent predictors of recurrence showing a cause-specific hazard over time. RFS was associated with death for recurrence (hazard ratio: 0.985, 95% CI: 0.977-0.995; p = 0.002). CONCLUSIONS: Patients with MS undergoing LR for HCC have good long-term survival. Recurrence occurs in 48% of patients with a double-peak incidence and time-specific hazards depending on tumor-related factors and underlying disease. The timing of recurrence significantly impacts survival. Surveillance after resection should be adjusted over time depending on risk factors. IMPACT AND IMPLICATIONS: Metabolic syndrome (MS) is a growing epidemic and a significant risk factor for the development of hepatocellular carcinoma (HCC). The present study demonstrated that patients who undergo surgical resection for HCC on MS have a good long-term survival and that recurrence occurs in almost half of the cases with a double peak incidence and time-specific hazards depending on tumor-related factors and underlying liver disease. Also, the timing of recurrence significantly impacts survival. Clinicians should therefore adjust follow-up after surgery accordingly, considering timing of recurrence and specific risk factors. Also, the results of the present study might help design future trials on the use of adjuvant therapy following resection.

Published
2024

4. Language Discrimination May Not Rely on Rhythm: A Computational Study

Author

Famularo, Ruolan Leslie, Aboelata, Ali, Schatz, Thomas, and Feldman, Naomi H

Subjects
Language development, Machine learning, Speech recognition, Computational Modeling, Cross-linguistic analysis
Abstract

It has long been assumed that infants' ability to discriminate between languages stems from their sensitivity to speech rhythm, i.e., organized temporal structure of vowels and consonants in a language. However, the relationship between speech rhythm and language discrimination has not been directly demonstrated. Here, we use computational modeling and train models of speech perception with and without access to information about rhythm. We test these models on language discrimination, and find that access to rhythm does not affect the success of the model in replicating infant language discrimination results. Our findings challenge the relationship between rhythm and language discrimination, and have implications for theories of language acquisition.

Published
2024

5. Predicting the Risk of Morbidity by GLIM-Based Nutritional Assessment and Body Composition Analysis in Oncologic Abdominal Surgery in the Context of Enhanced Recovery Programs: The PHase Angle Value in Abdominal Surgery (PHAVAS) Study

Author

Sandini, Marta, Gianotti, Luca, Paiella, Salvatore, Bernasconi, Davide P., Roccamatisi, Linda, Famularo, Simone, Donadon, Matteo, Di Lucca, Gabriele, Cereda, Marco, Baccalini, Edoardo, Capretti, Giovanni, Nappo, Gennaro, Casirati, Amanda, Braga, Marco, Zerbi, Alessandro, Torzilli, Guido, Bassi, Claudio, Salvia, Roberto, Cereda, Emanuele, and Caccialanza, Riccardo

Published
2024
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6. Protocol for the Catheter-Related Early Thromboprophylaxis With Enoxaparin (CRETE) Studies

Author

Faustino, E. Vincent S., Kandil, Sarah B., Leroue, Matthew K., Sochet, Anthony A., Kong, Michele, Cholette, Jill M., Nellis, Marianne E., Pinto, Matthew G., Chegondi, Madhuradhar, Ramirez, Michelle, Schreiber, Hilary, Kerris, Elizabeth W. J., Glau, Christie L., Kolmar, Amanda, Muisyo, Teddy M., Sharathkumar, Anjali, Polikoff, Lee, Silva, Cicero T., Ehrlich, Lauren, Navarro, Oscar M., Spinella, Philip C., Raffini, Leslie, Taylor, Sarah N., McPartland, Tara, Shabanova, Veronika, Faustino, E. Vincent S., Holtz, Laura, McPartland, Tara, Soo, Zi Kai, Kandil, Sarah, Raffini, Leslie, Silva, Cicero, Spinella, Philip, Taylor, Sarah, Shabanova, Veronika, McCullom, Sarah, Silva, Cicero T., Ehrlich, Lauren, Navarro, Oscar M., Barbaro, Ryan, Jaffray, Julie, Warren, Joshua, Sharathkumar, Anjali, Polikoff, Lee, Leroue, Matthew K., Arellano, Venessa Hoppes, Andreaco, Alix, Baig, Natasha, Burke, Ellen, Carpenter, Todd, Dailey, Lanae, Elozory, Allie, Enabulele, Obehi, Furleng, Christiane, Gonzales, Kristen, Gordon, Katie, Gordon, Sharon, Greer, Rachel, Grimsley, Allison, Jones, Rachel, Landis, Michelle, Laurin, Jaime, Lipani, Emily, Maddux, Aline, Mansour, Rachel, Merrow, Mya, Patruccelli, Lexi, Port, Emily, Sauceda, Heidi, Shields, Elizabeth, Sierra, Yamila, Stenson, Erin, Stewart, Christine, Tutman, Jeffrey, Wilson, Patrick, Valenzuela, Ariana, Zorensky, Frances, Glau, Christie L., Arroyo, Teresa, Burnett, Ryan, Bush, Jenny, Dickey, Shawn, Douglas, Rebecca, Edioma, Glory, Famularo, Stephen, Fitzgerald, Julie, Himebauch, Adam, Juste, Nola, Levow, Cindee, McKelvey, Alanah, Sivarupan, Myooran, Slocumb, Taylor, Tizhe, Wandave, Tolkacheva, Katie, Tupil, Krithika, Nguyen, Vu, Scott, Megan, Kolmar, Amanda, Archie-Dilworth, Jessie, Kramer, Michael, Stone, Pamela, Schreiber, Hilary, Privatt, Miranda, Shad, Sadaf, Kong, Michele, Colston, Candice, Kelley, Heather, Murdock, Meghan, Cholette, Jill M., Taillie, Eileen Root, Ramirez, Michelle, Deygoo, Sandra, Groves, Kelley, Hennigan, Claire, McKinstry, Jacklyn, Martinez, Michael, Michos, Rosa, Shah, Ami, Spilios, Maria, Sochet, Anthony A., Babushkin, Tamara, Cree, Hanna, Dallas, Lexie, Nievas, I. Federico F., Teppa, Beatriz, Pinto, Matthew G., Korn, Sarah, Levasseur, Julie, Politano, Serè, Muszynski, Jennifer, Steele, Lisa, Nellis, Marianne E., Chung, Liliko, Cormack, Margaret, Svezhenets, Oleksiy, Muisyo, Teddy M., Allen, Christine, Anderson, Ashley, Huebner, Karl M., Jones, Tracy, Mitchell, Katherine, Taylor, Kaci, Kerris, Elizabeth, Hamilton, Hannah, Spears, Debra, Thomas, Neal, Chegondi, Madhuradhar, Austin, Maureen, Rao, Mahil, Faustino, E. Vincent S., Blalock, Shelby, Ecarma, Michelle, Hayes, Nancy, Kandil, Sarah, Kluko, Matthew, Quinn, Tyler, and Silva, Cicero T.

Published
2024
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7. Civilian upper extremity vascular injury: A National Trauma Data Bank study

Author

Marissa Famularo, Hunaiz Patel, Vrutant Patel, Matthew Ward, Melissa Scribani, William Friedman, Daphne Monie, and Shelby Cooper

Subjects
Upper extremity trauma, Civilian trauma, Vascular injuries, Traumatic vascular injuries, Diseases of the circulatory (Cardiovascular) system, RC666-701, Surgery, RD1-811
Abstract

Objective: Traumatic upper extremity vascular injuries (UEVIs) pose unique challenges as they are relatively rare injuries. There are various potential treatment modalities to address these injuries which may be influenced by the location of the injury, mechanism of injury, concomitant injuries, and overall patient status. Limited studies are assessing the outcomes of these different treatment modalities and most of the recent literature is focused on combat trauma. Herein we present the largest study of civilian UEVIs with over 7000 patients from a national databank. Methods: The National Trauma Data Bank (NTDB) from 2017 was used to include subjects aged sixteen years and older presenting with UEVIs. These injuries were identified using ICD-10-CM codes with locations classified as subclavian, axillary, brachial, or distal. Isolated superficial injuries were excluded. Vascular procedures were classified using the ICD-10-PCS and specific procedures of interest included surgical amputation, ligation, primary repair, and endovascular stent placement. Demographic data and injury descriptors such as injury severity score (ISS) and mechanism of injury were compiled for all patients. Outcomes including surgical amputation and death were assessed for association with ISS using chi-square analysis and t-tests. Associations between treatment modality and odds of surgical amputation were modeled using logistic regression. Results: Seven thousand and fifty patients were included in the analysis. Penetrating injuries accounted for 63 % of injuries while 35 % were blunt. A total of 234 deaths (3.3 %) occurred and 382 injuries involved traumatic amputation (5.4 %) as seen in Table 2. The commonly documented treatment modality was primary repair in 3072 patients (43.6 %) followed by surgical ligation in 1152 patients (16.3 %). Nine-hundred and forty-four patients (14.4 %) underwent endovascular stent placement, and 445 patients (6.3 %) underwent surgical bypass. Two hundred and seventy patients underwent surgical amputation (3.8 %). Patients who underwent surgical amputation had significantly higher mean ISS when compared with patients who did not (11.6 vs 9.7, P = .007) but a lower prevalence of death (1.1 % vs 3.4 %, P = .036). Those undergoing ligation or primary repair had significantly decreased odds of surgical amputation (OR ligation = 0.45; OR primary repair = 0.68; both p < .01) compared to those who underwent endovascular stent placement (OR = 1.62, P = .002). Conclusions: Both penetrating and blunt civilian trauma may lead to significant UEVIs requiring surgical intervention. Surgical amputation was interestingly associated with lower mortality rates despite those patients having higher ISS. Open surgical interventions were associated with higher limb salvage rates compared to endovascular interventions.

Published
2024
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8. Sewage-and fertilizer-derived nutrients alter the intensity, diversity, and toxicity of harmful cyanobacterial blooms in eutrophic lakes

Author

Christopher J. Gobler, Ruth W. Drinkwater, Alexander Anthony, Jennifer A. Goleski, Ann Marie E. Famularo-Pecora, Marcella Kretz Wallace, Nora R. W. Straquadine, and Ronojoy Hem

Subjects
Microcystis, microcystin, harmful algal bloom, harmful algae, fertilizer, sewage, Microbiology, QR1-502
Abstract

Cyanobacterial harmful algal blooms (CHABs) are promoted by excessive nutrient loading and, while fertilizers and sewage are the most prevalent external nutrient sources in most watersheds, the differential effects of these nutrient sources on CHABs are unknown. Here, we tracked CHABs and performed experiments in five distinct lakes across the Northern US including Lake Erie. Fertilizers with ammonium and orthophosphate, membrane (0.2 μm)-filtered sewage (dominated by reduced forms of nitrogen) sand-and membrane-filtered sewage (dominated by nitrate), and an inorganic nutrient solution of ammonium and orthophosphate were used as experimental nutrient sources for CHABs at N-equivalent, environmentally realistic concentrations. Phytoplankton communities were evaluated fluorometrically, microscopically, and via high throughput sequencing of the 16S rRNA gene, and levels of microcystin and the δ15N content of particulate organic nitrogen (δPO15N) were quantified. Fertilizer and both sources of wastewater increased the abundance of cyanobacteria in all experiments across all five lakes (p

Published
2024
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11. Factors affecting overall survival and disease-free survival after surgery for hepatocellular carcinoma: a nomogram-based prognostic model—a Western European multicenter study

Author

Masuda, Yoshio, Yeo, Mark Hao Xuan, Burdio, Fernando, Sanchez-Velazquez, Patricia, Perez-Xaus, Marc, Pelegrina, Amalia, Koh, Ye Xin, Di Martino, Marcello, Goh, Brian K.P., Tan, Ek Khoon, Teo, Jin Yao, Romano, Fabrizio, Famularo, Simone, Ferrari, Cecilia, Griseri, Guido, Piardi, Tullio, Sommacale, Daniele, Gianotti, Luca, Molfino, Sarah, Baiocchi, Gianluca, and Ielpo, Benedetto

Published
2024
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13. Recurrence and tumor-related death after resection of hepatocellular carcinoma in patients with metabolic syndrome

Author

Giammauro Berardi, Alessandro Cucchetti, Carlo Sposito, Francesca Ratti, Martina Nebbia, Daniel M. D’Souza, Franco Pascual, Epameinondas Dogeas, Samer Tohme, Alessandro Vitale, Francesco Enrico D’Amico, Remo Alessandris, Valentina Panetta, Ilaria Simonelli, Marco Colasanti, Nadia Russolillo, Amika Moro, Guido Fiorentini, Matteo Serenari, Fernando Rotellar, Giuseppe Zimitti, Simone Famularo, Tommy Ivanics, Felipe Gaviria Donando, Daniel Hoffman, Edwin Onkendi, Yasmin Essaji, Tommaso Giuliani, Santiago Lopez Ben, Celia Caula, Gianluca Rompianesi, Asmita Chopra, Mohammed Abu Hilal, Gonzalo Sapisochin, Guido Torzilli, Carlos Corvera, Adnan Alseidi, Scott Helton, Roberto I. Troisi, Kerri Simo, Claudius Conrad, Matteo Cescon, Sean Cleary, David Choon Hyuck Kwon, Alessandro Ferrero, Giuseppe Maria Ettorre, Umberto Cillo, David Geller, Daniel Cherqui, Pablo E. Serrano, Cristina Ferrone, Luca Aldrighetti, T. Peter Kingham, and Vincenzo Mazzaferro

Subjects
Hepatocellular carcinoma, Metabolic syndrome, Nonalcoholic fatty liver disease, Metabolic-associated fatty liver disease, Recurrence, Steatosis, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract

Background & Aims: Metabolic syndrome (MS) is a growing epidemic and a risk factor for the development of hepatocellular carcinoma (HCC). This study investigated the long-term outcomes of liver resection (LR) for HCC in patients with MS. Rates, timing, patterns, and treatment of recurrences were investigated, and cancer-specific survivals were assessed. Methods: Between 2001 and 2021, data from 24 clinical centers were collected. Overall survival (OS), recurrence-free survival (RFS), and cancer-specific survival were analyzed as well as recurrence patterns and treatment. The analysis was conducted using a competing-risk framework. The trajectory of the risk of recurrence over time was applied to a competing risk analysis. For post-recurrence survival, death resulting from tumor progression was the primary endpoint, whereas deaths with recurrence relating to other causes were considered as competing events. Results: In total, 813 patients were included in the study. Median OS was 81.4 months (range 28.1–157.0 months), and recurrence occurred in 48.3% of patients, with a median RFS of 39.8 months (range 15.7–174.7 months). Cause-specific hazard of recurrence showed a first peak 6 months (0.027), and a second peak 24 months (0.021) after surgery. The later the recurrence, the higher the chance of receiving curative intent approaches (p = 0.001). Size >5 cm, multiple tumors, microvascular invasion, and cirrhosis were independent predictors of recurrence showing a cause-specific hazard over time. RFS was associated with death for recurrence (hazard ratio: 0.985, 95% CI: 0.977–0.995; p = 0.002). Conclusions: Patients with MS undergoing LR for HCC have good long-term survival. Recurrence occurs in 48% of patients with a double-peak incidence and time-specific hazards depending on tumor-related factors and underlying disease. The timing of recurrence significantly impacts survival. Surveillance after resection should be adjusted over time depending on risk factors. Impact and implications: Metabolic syndrome (MS) is a growing epidemic and a significant risk factor for the development of hepatocellular carcinoma (HCC). The present study demonstrated that patients who undergo surgical resection for HCC on MS have a good long-term survival and that recurrence occurs in almost half of the cases with a double peak incidence and time-specific hazards depending on tumor-related factors and underlying liver disease. Also, the timing of recurrence significantly impacts survival. Clinicians should therefore adjust follow-up after surgery accordingly, considering timing of recurrence and specific risk factors. Also, the results of the present study might help design future trials on the use of adjuvant therapy following resection.

Published
2024
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15. A Counteracting Resilience Strategy for Denial-of-Service Scenarios in Networked Control Systems

Author

D. Famularo

Subjects
Cyber-physical systems, induced-delays, attack detection, robust model predictive control, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

In this manuscript, we introduce a model predictive control (MPC) strategy tailored to improve the security and resilience of constrained cyber-physical systems facing attacks whose target is the communication channel. Building upon a recently developed resilient control framework, the improvement consists in addressing the challenges posed by time length varying denial-of-service attacks. Its primary focus lies in its capacity to mitigate undesired system behaviors stemming from external malicious actions.Central to our strategy consists in using set-membership conditions, facilitating swift detection of data integrity anomalies and enabling the implementation of appropriate countermeasures. By harnessing set-theoretic based model predictive control ideas, the resulting solution emphasizes its resilient nature in the efficient handling of explicit plant constraints. Moreover, the proposed scheme is designed to ensure the system’s safe operation during attacks and minimizing performance degradation. To further bolster resilience, a network refresh procedure is added, which serves to securely restore attack-free communications should the initially deployed countermeasures prove insufficient. Through extensive simulations, wherein we apply our methodology to a tracking problem involving a planar mass-point system, the effectiveness of the resilient scheme here proposed is proved. These simulations confirm the capability of our control architecture to maintain constraint satisfaction across a spectrum of possible denial of service attack scenarios, thereby underlining its robustness and practical usefulness in safeguarding cyber-physical systems against malicious threats.

Published
2024
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16. Validating a Concept Inventory for Measuring Students' Probabilistic Reasoning: The Case of Reasoning within the Context of a Raffle

Author

Lee, Hollylynne S., Sanei, Hamid, Famularo, Lisa, Masters, Jessica, Bradshaw, Laine, and Schellman, Madeline

Abstract

Assessing students' conceptions related to independence of events and determining probabilities from a sample space has been the focus of research in probability education for over 40 years. While we know a lot from past studies about predictable ways students may reason with well-known tasks, developing a diagnostic assessment that can be used by teachers to inform instruction demands the use of familiar and unfamiliar contexts. This paper presents the current work of a research team whose aim is to create a formative concept inventory with strong evidence of validity that uses a psychometric model to confidently predict whether a student exhibits one or more misconception across many items. We illustrate this process in this paper using a particular item with a context of a raffle aimed to measure whether a student reasons with misconceptions related to independence or equiprobability. The results of two aspects of the validity process: cognitive interviews to assess response proce sses on individual items, and a large-scale administration to examine internal structure of the concept inventory revealed difficulties in assessing students' reasoning about these key probability concepts and trends in the prevalence of misconceptions across grades. Results can provide guidance for others aiming to develop assessments in mathematics education and also support further possibilities for research into understanding students' reasoning about independence and sample space.

Published
2023
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18. Integrating Validity Evidence to Revise a Child Abuse Knowledge Test for Early Childhood Education Providers: A Mixed Methods Approach

Author

Panlilio, Carlomagno C., Famularo, Lisa, Masters, Jessica, Dore, Sarah, Verdiglione, Nicole, Yang, Chengwu, Lehman, Erik, Hamm, Robert M., Fiene, Richard, Bard, David, Kapp, Karl M., and Levi, Benjamin H.

Abstract

Knowledge tests used to evaluate child protection training program effectiveness for early childhood education providers may suffer from threats to construct validity given the contextual variability inherent within state-specific regulations around mandated reporting requirements. Unfortunately, guidance on instrument revision that accounts for such state-specific mandated reporting requirements is lacking across research on evaluation practices. This study, therefore, explored how collection and integration of validity evidence using a mixed methods framework can guide the instrument revision process to arrive at a more valid program outcome measure.

Published
2022
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23. Development of Diagnostic Assessments in Probability for Middle Graders

Author

Lee, Hollylynne, Bradshaw, Laine, Famularo, Lisa, Masters, Jessica, Azevedo, Roger, Johnson, Sheri, Schellman, Madeline, Elrod, Emily, and Sanei, Hamid

Abstract

The research shared in this conference paper report illustrates how an iterative process to item development that involves expert review and cognitive lab interviews with students can be used to collect evidence of validity for assessment items. Analysis of students' reasoning was also used to expand a model for identifying conceptions and misconceptions about probability. Participants at the conference will discuss the model and how several items can be used to diagnose students' probabilistic reasoning.

Published
2019

25. Combined hepatocellular-cholangiocarcinoma compared to hepatocellular carcinoma and intrahepatic cholangiocarcinoma: Different survival, similar recurrence: Report of a large study on repurposed databases with propensity score matching

Author

Abba, Julio, Adam, René, Adham, Mustapha, Addeo, Pietro, Allard, Marc-Antoine, Amaddeo, Giuliana, Ayav, Ahmet, Azoulay, Daniel, Bachellier, Philippe, Balladur, Pierre, Barbieux, Julien, Boleslawski, Emmanuel, Boudjema, Karim, Bougard, M., Buc, Emmanuel, Bucur, Petru, Carmelo, Antoine, Cauchy, François, Chatelain, Denis, Chauvat, Jean, Cherkaoui, Zineb, Chirica, Mircea, Ciacio, Oriana, Codjia, Tatiana, Colli, Fabio, De Carlis, Luciano, Delpero, Jean-Robert, Demartines, Nicolas, Detry, Olivier, Sanches, Marcelo Dias, Diouf, Momar, Doussot, Alexandre, Ducerf, Christian, El Amrani, Mehdi, Ewald, Jacques, Fabre, Jean-Marc, Fagot, Hervé, Famularo, Simone, Ferre, Léo, Fleres, Francesco, Fonseca, Gilton Marques, Quintana, Álvaro Gancedo, Gayet, Brice, Giacomoni, Alessandro, Gigot, Jean-Francois, Golse, Nicolas, Gregoire, Emilie, Hardwigsen, Jean, Herman, Paulo, Hor, Thevi, Jehaes, François, Kianmanesh, Ali-Reza, Komatsu, Shohei, Laroche, Sophie, Laurent, Christophe, Le Treut, Yves-Patrice, Leourier, Philippe, Lermite, Emilie, Lesurtel, Mikael, Letoublon, Christian, Leyman, Paul, Lesurtel, Mickael, Lubrano, Jean, Mabrut, Jean-Yves, Mantion, Georges, Marchese, Ugo, Martín-Pérez, Elena, Menahem, Benjamin, Meunier, Maxime, Millet, Guillaume, Mohkam, Kayvan, Mulliri, André, Muscari, Fabrice, Navarro, Francis, Nolasco, Francisco, Nomi, Takeo, Nunoz, Jean, Nuzzo, Gennaro, Okumura, Shinya, Oudafal, Nassima, Pascal, Gerard, Passot, Guillaume, Patrono, Damiano, Paye, François, Perdigao, Fabiano, Petrucciani, Niccolo, Pittau, Gabriella, Pruvot, François-René, Raventos, Artigas, Regnault, Hélène, Rivoire, Michel, Romagnoli, Renato, Roulin, Didier, Sa-Cunha, Antonio, Scotte, Michel, Souche, François-Regis, Suc, Bertrand, Thobie, Alexandre, Trechot, Boris, Truant, Stéphanie, Turini, Olivier, Uemoto, Shinji, Unterteiner, Xavier, Vanbrugghe, Charles, Zemour, Jean, Amory, Boris, Goumard, Claire, Laurent, Alexis, Langella, Serena, Cherqui, Daniel, Salame, Ephrem, Barbier, Louise, Soubrane, Olivier, Farges, Olivier, Hobeika, Christian, Kawai, Takayuki, Regimbeau, Jean-Marc, Faitot, François, Pessaux, Patrick, Herrero, Astrid, Chiche, Laurence, Di Martino, Marcello, Rhaiem, Rami, Schwarz, Lilian, Resende, Vivian, Calderaro, Julien, Augustin, Jérémy, Caruso, Stefano, Sommacale, Daniele, Hofmeyr, Stefan, Ferrero, Alessandro, Fuks, David, Vibert, Eric, Torzilli, Guido, Scatton, Olivier, and Brustia, Raffaele

Published
2024
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26. Preoperative prediction of post hepatectomy liver failure after surgery for hepatocellular carcinoma on CT-scan by machine learning and radiomics analyses

Author

Famularo, Simone, Maino, Cesare, Milana, Flavio, Ardito, Francesco, Rompianesi, Gianluca, Ciulli, Cristina, Conci, Simone, Gallotti, Anna, La Barba, Giuliano, Romano, Maurizio, De Angelis, Michela, Patauner, Stefan, Penzo, Camilla, De Rose, Agostino Maria, Marescaux, Jacques, Diana, Michele, Ippolito, Davide, Frena, Antonio, Boccia, Luigi, Zanus, Giacomo, Ercolani, Giorgio, Maestri, Marcello, Grazi, Gian Luca, Ruzzenente, Andrea, Romano, Fabrizio, Troisi, Roberto Ivan, Giuliante, Felice, Donadon, Matteo, and Torzilli, Guido

Published
2024
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28. Corporate social responsibility communication in the ICT sector: digital issues, greenwashing, and materiality

Author

Jordan Famularo

Subjects
Corporate social responsibility, ESG, Sustainability, Information technology, Communication technology, Materiality, Social responsibility of business, HD60-60.5, Business ethics, HF5387-5387.5
Abstract

Abstract Digitalization brings with it new social and governance issues and heightened responsibility, particularly for corporations. In recent years, society has demanded more transparency from companies about digital technology practices, oversight, and impacts. One sector that sharpens the view on these dynamics is information and communication technology (ICT). This study introduces for the first time an examination of corporate social responsibility (CSR) discourse on digital issues among large ICT firms by using signaling theory to analyze a broad set of media (sustainability, ESG, CSR, integrated, impact, purpose, consolidated management, and annual reports as well as issue briefs and webpages). It clarifies how ICT firms present materiality—a reporting concept associated with fair representation and relevance of information—in their CSR reporting on digital topics. It then discusses implications for greenwashing and makes recommendations for improving disclosure credibility. Graphical Abstract

Published
2023
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30. Survival benefit of second line therapies for recurrent hepatocellular carcinoma: repeated hepatectomy, thermoablation and second-line transplant referral in a real life national scenario

Author

Milana, Flavio, Bertacco, Alessandra, De Carlis, Riccardo, Ratti, Francesca, Russolillo, Nadia, Iaria, Maurizio, Razionale, Francesco, Tartaglia, Giuseppe, Ciulli, Cristina, Carissimi, Francesca, Laureiro, Zoe L., Marinelli, Laura, DePeppo, Valerio, Montuori, Mauro, Marchitelli, Ivan, Franceschi, Angelo, Notte, Francesca, Manzoni, Alberto, Cosola, Davide, Corleone, Pio, Fumagalli, Luca, Salvador, Luca, Mantovani, Guido, Cucchetti, Alessandro, Cammarata, Francesco, Conticchio, Maria, Patrone, Renato, Bernasconi, Davide P., Famularo, Simone, Cillo, Umberto, Lauterio, Andrea, Donadon, Matteo, Vitale, Alessandro, Serenari, Matteo, Cipriani, Federica, Fazio, Federico, Giuffrida, Mario, Ardito, Francesco, Dominioni, Tommaso, Garancini, Mattia, Lai, Quirino, Nicolini, Daniele, Molfino, Sarah, Perri, Pasquale, Pinotti, Enrico, Conci, Simone, Ferrari, Cecilia, Zanello, Matteo, Patauner, Stefan, Zimmitti, Giuseppe, Germani, Paola, Chiarelli, Marco, Romano, Maurizio, De Angelis, Michela, La Barba, Giuliano, Troci, Albert, Ferraro, Valentina, Izzo, Francesco, Antonucci, Adelmo, Belli, Andrea, Memeo, Riccardo, Crespi, Michele, Ercolani, Giorgio, Boccia, Luigi, Zanus, Giacomo, Tarchi, Paola, Hilal, Moh'd Abu, Frena, Antonio, Jovine, Elio, Griseri, Guido, Ruzzenente, Andrea, Zago, Mauro, Grazi, Gianluca, Baiocchi, Gian L., Vivarelli, Marco, Rossi, Massimo, Romano, Fabrizio, Maestri, Marcello, Giuliante, Felice, Valle, Raffaele D., Ferrero, Alessandro, Aldrighetti, Luca, De Carlis, Luciano, Cescon, Matteo, and Torzilli, Guido

Published
2023
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31. A Data-Driven Approach to Set-Theoretic Model Predictive Control for Nonlinear Systems

Author

Francesco Giannini and Domenico Famularo

Subjects
set-theoretic model predictive control, data-driven control, iterative machine learning algorithm, polytopic embedding, Information technology, T58.5-58.64
Abstract

In this paper, we present a data-driven model predictive control (DDMPC) framework specifically designed for constrained single-input single-output (SISO) nonlinear systems. Our approach involves customizing a set-theoretic receding horizon controller within a data-driven context. To achieve this, we translate model-based conditions into data series of available input and output signals. This translation process leverages recent advances in data-driven control theory, enabling the controller to operate effectively without relying on explicit system models. The proposed framework incorporates a robust methodology for managing system constraints, ensuring that the control actions remain within predefined bounds. By means of time sequences, the controller learns the underlying system dynamics and adapts to changes in real time, providing enhanced performance and reliability. The integration of set-theoretic methods allows for the systematic handling of uncertainties and disturbances, which are common when the trajectory of a nonlinear system is embedded inside a linear trajectory state tube. To validate the effectiveness of our DDMPC framework, we conduct extensive simulations on a nonlinear DC motor system. The results demonstrate significant improvements in control performance, highlighting the robustness and adaptability of our approach compared to traditional model-based MPC techniques.

Published
2024
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32. Personalised management of patients with hepatocellular carcinoma: a multiparametric therapeutic hierarchy concept

Author

Baccarani, Umberto, Brancaccio, Giuseppina, Cozzolongo, Raffaele, Cucchetti, Alessandro, De Matthaeis, Nicoletta, Di Sandro, Stefano, Famularo, Simone, Finotti, Michele, Foschi, Francesco G, Ghinolfi, Davide, Guarracino, Marco, Gruttadauria, Salvatore, Guarino, Maria, Kostandini, Alba, Lenci, Ilaria, Levi Sandri, Giovanni B, Manzia, Tommaso M, Marasco, Giovanni, Masarone, Mario, Mazzarelli, Chiara, Melandro, Fabio, Miele, Luca, Morisco, Filomena, Nicolini, Daniele, Pagano, Duilio, Pelizzaro, Filippo, Pieri, Giulia, Piscaglia, Fabio, Plaz Torres, Maria Corina, Pravisani, Riccardo, Rendina, Maria, Romano, Fabrizio, Russo, Francesco P, Sacco, Rodolfo, Sangiovanni, Angelo, Sposito, Carlo, Tortora, Raffaella, Tovoli, Francesco, Viganò, Mauro, Violi, Paola, Vitale, Alessandro, Cabibbo, Giuseppe, Iavarone, Massimo, Viganò, Luca, Pinato, David J, Ponziani, Francesca Romana, Lai, Quirino, Casadei-Gardini, Andrea, Celsa, Ciro, Galati, Giovanni, Gambato, Martina, Crocetti, Laura, Renzulli, Matteo, Giannini, Edoardo G, Farinati, Fabio, Trevisani, Franco, and Cillo, Umberto

Published
2023
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33. Factors affecting overall survival and disease-free survival after surgery for hepatocellular carcinoma: a nomogram-based prognostic model—a Western European multicenter study

Author

Masuda, Y, Yeo, M, Burdio, F, Sanchez-Velazquez, P, Perez-Xaus, M, Pelegrina, A, Koh, Y, Di Martino, M, Goh, B, Tan, E, Teo, J, Romano, F, Famularo, S, Ferrari, C, Griseri, G, Piardi, T, Sommacale, D, Gianotti, L, Molfino, S, Baiocchi, G, Ielpo, B, Masuda Y., Yeo M. H. X., Burdio F., Sanchez-Velazquez P., Perez-Xaus M., Pelegrina A., Koh Y. X., Di Martino M., Goh B. K. P., Tan E. K., Teo J. Y., Romano F., Famularo S., Ferrari C., Griseri G., Piardi T., Sommacale D., Gianotti L., Molfino S., Baiocchi G., Ielpo B., Masuda, Y, Yeo, M, Burdio, F, Sanchez-Velazquez, P, Perez-Xaus, M, Pelegrina, A, Koh, Y, Di Martino, M, Goh, B, Tan, E, Teo, J, Romano, F, Famularo, S, Ferrari, C, Griseri, G, Piardi, T, Sommacale, D, Gianotti, L, Molfino, S, Baiocchi, G, Ielpo, B, Masuda Y., Yeo M. H. X., Burdio F., Sanchez-Velazquez P., Perez-Xaus M., Pelegrina A., Koh Y. X., Di Martino M., Goh B. K. P., Tan E. K., Teo J. Y., Romano F., Famularo S., Ferrari C., Griseri G., Piardi T., Sommacale D., Gianotti L., Molfino S., Baiocchi G., and Ielpo B.

Abstract

Few studies have assessed the clinical implications of the combination of different prognostic indicators for overall survival (OS) and disease-free survival (DFS) of resected hepatocellular carcinoma (HCC). This study aimed to evaluate the prognostic factors in HCC patients for OS and DFS outcomes and establish a nomogram-based prognostic model to predict the DFS of HCC. A multicenter, retrospective European study was conducted through the collection of data on 413 consecutive treated patients with a first diagnosis of HCC between January 2010 and December 2020. Univariate and multivariate Cox regression analyses were performed to identify all independent risk factors for OS and DFS outcomes. A nomogram prognostic staging model was subsequently established for DFS and its precision was verified internally by the concordance index (C-Index) and externally by calibration curves. For OS, multivariate Cox regression analysis indicated Child–Pugh B7 score (HR 4.29; 95% CI 1.74–10.55; p = 0.002) as an independent prognostic factor, along with Barcelona Clinic Liver Cancer (BCLC) stage ≥ B (HR 1.95; 95% CI 1.07–3.54; p = 0.029), microvascular invasion (MVI) (HR 2.54; 95% CI 1.38–4.67; p = 0.003), R1/R2 resection margin (HR 1.57; 95% CI 0.85–2.90; p = 0.015), and Clavien–Dindo Grade 3 or more (HR 2.73; 95% CI 1.44–5.18; p = 0.002). For DFS, multivariate Cox regression analysis indicated BCLC stage ≥ B (HR 2.15; 95% CI 1.34–3.44; p = 0.002) as an independent prognostic factor, along with multiple nodules (HR 2.04; 95% CI 1.25–3.32; p = 0.004), MVI (HR 1.81; 95% CI 1.19–2.75; p = 0.005), satellite nodules (HR 1.63; 95% CI 1.09–2.45; p = 0.018), and R1/R2 resection margin (HR 3.39; 95% CI 2.19–5.25; < 0.001). The C-Index of the nomogram, tailored based on the previous significant factors, showed good accuracy (0.70). Internal and external calibration curves for the probability of DFS rate showed optimal consistency and fit well between the nomogram-based prediction and act

Published
2024

35. Survival Analysis

Author

Famularo, Simone, Bernasconi, Davide, Coccolini, Federico, Series Editor, Coimbra, Raul, Series Editor, Kirkpatrick, Andrew W., Series Editor, Di Saverio, Salomone, Series Editor, Ansaloni, Luca, Editorial Board Member, Balogh, Zsolt, Editorial Board Member, Biffl, Walt, Editorial Board Member, Catena, Fausto, Editorial Board Member, Davis, Kimberly, Editorial Board Member, Ferrada, Paula, Editorial Board Member, Fraga, Gustavo, Editorial Board Member, Ivatury, Rao, Editorial Board Member, Kluger, Yoram, Editorial Board Member, Leppaniemi, Ari, Editorial Board Member, Maier, Ron, Editorial Board Member, Moore, Ernest E., Editorial Board Member, Napolitano, Lena, Editorial Board Member, Peitzman, Andrew, Editorial Board Member, Reilly, Patrick, Editorial Board Member, Rizoli, Sandro, Editorial Board Member, Sakakushev, Boris E., Editorial Board Member, Sartelli, Massimo, Editorial Board Member, Scalea, Thomas, Editorial Board Member, Spain, David, Editorial Board Member, Stahel, Philip, Editorial Board Member, Sugrue, Michael, Editorial Board Member, Velmahos, George, Editorial Board Member, Weber, Dieter, Editorial Board Member, Ceresoli, Marco, editor, Abu-Zidan, Fikri M., editor, and Staudenmayer, Kristan L., editor

Published
2022
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36. Minimally Invasive Versus Open Liver Resections for Hepatocellular Carcinoma in Patients With Metabolic Syndrome

Author

Berardi, Giammauro, Ivanics, Tommy, Sapisochin, Gonzalo, Ratti, Francesca, Sposito, Carlo, Nebbia, Martina, D’Souza, Daniel M., Pascual, Franco, Tohme, Samer, D’Amico, Francesco Enrico, Alessandris, Remo, Panetta, Valentina, Simonelli, Ilaria, Del Basso, Celeste, Russolillo, Nadia, Fiorentini, Guido, Serenari, Matteo, Rotellar, Fernando, Zimitti, Giuseppe, Famularo, Simone, Hoffman, Daniel, Onkendi, Edwin, Lopez-Ben, Santiago, Caula, Celia, Rompianesi, Gianluca, Chopra, Asmita, Abu Hilal, Mohammed, Torzilli, Guido, Corvera, Carlos, Alseidi, Adnan, Helton, Scott, Troisi, Roberto I., Simo, Kerri, Conrad, Claudius, Cescon, Matteo, Cleary, Sean, Kwon, Choon H. D., Ferrero, Alessandro, Ettorre, Giuseppe M., Cillo, Umberto, Geller, David, Cherqui, Daniel, Serrano, Pablo E., Ferrone, Cristina, Mazzaferro, Vincenzo, Aldrighetti, Luca, and Kingham, T. Peter

Published
2023
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37. Protein and aging

Author

Famularo, Phyllis

Subjects
Business, Health, Health care industry, Seniors
Abstract

Healthcare professionals often hear a common question regarding older adults and adequate nutrition: “Are they eating enough protein?” The Food and Nutrition Board of the Institute of Medicine has developed [...]

Published
2024

43. Heterogeneity of management practices surrounding operable gallbladder cancer – results of the OMEGA-S international HPB surgical survey

Author

Abe, T., Achalandabaso, M., Adham, M., Ahmet, A., Al-Sarireh, B., Albiol Quer, M., Alconchel, F., Alsammani, M., Alseidi, A., Anand, A., Anselmo, A., Antonakis, P., Arabadzhieva, E., de Aretxabala, X., Aroori, S., Ashley, S., Ausania, F., Banerjee, A., Barabino, M., Bartlett, A., Bartsch, F., Belli, A., Beristain-Hernandez, J., Berrevoet, F., Bhatti, A.B.H., Bhojwani, R., Bjornsson, B., Blaz, T., Byrne, M., Calvo, M.P., Castellanos, J., Castro, M.J., Cavallucci, D., Chang, D., Christodoulis, G., Ciacio, O., Clavien, P.A., Coker, A., Conde-Rodriguez, M., D'Amico, F.E., D'Hondt, M., Daams, F., Dasari, B.V.M., De Bellis, M., de Meijer, V.E., Dede, K., Deiro, G., Delgado, F.J.B., Desai, G., Di Gioia, A., Di Martino, M., Dixon, M., Dorovinis, P., Dumitrascu, T., Ebata, T., Eilard, M.S., Erdmann, J., Erkan, M., Famularo, S., Felli, E., Fergadi, M., Fernandez, G.B., Fox, A., Galodha, S., Galun, D., Ganandha, S., Garcia, R.J.R., Gemenetzis, G., Giannone, F., Gil, L., Giorgakis, E., Giovinazzo, F., Giuffrida, M., Giuliani, T., Giuliante, F., Gkekas, I., Goel, M., Goh, B.K., Gomes, A., Gruenberger, T., Guevara, O., Gulla, A., Gupta, A., Gupta, R., Hakeem, A.R., Hamid, H.K.S., Heinrich, S., Helton, S., Hernandez-Alejandro, R., Heumann, A., Higuchi, R., Hughes, D., Inarejos, B.C., Ivanecz, A., Iwao, Y., Iype, S., Jaen, I., Jie, M.J., Jones, R., Kacirek, K., Kalayarasan, R., Kaldarov, A., Kaman, L., Kanhere, H., Kapoor, V.K., Karanicolas, P., Karayiannakis, A., Kausar, A., Khan, Z.A., Kim, D.-S., Klose, J., Knowles, B., Koh, P.S., Kolodziejczyk, P., Komorowski, A.L., Koong, J.K., Kozyrin, I., Krishna, A., Kron, P., Kumar, N., van Laarhoven, S., Lakhey, P.J., Lanari, J., Laurenzi, A., Leow, V.M., Limbu, Y., Liu, Y.-B., Lob, S., Lolis, E., Lopez-Lopez, V., Lozano, R.C., Lundgren, L., Machairas, N., Magouliotis, D., Mahamid, A., Malde, D., Malek, A., Malik, H., Malleo, G., Marino, M.V., Mayo, S.C., Mazzola, M., Memeo, R., Menon, K., Menzulin, R., Mohan, R., Morgul, H., Moris, D., Mulita, F., Muttillo, E.M., Nahm, C., Nandasena, M., Nashidengo, P.R., Nickkholgh, A., Nikov, A., Noel, C., O'Reilly, D., O'Rourke, T., Ohtsuka, M., Omoshoro-Jones, J.A.O., Pandanaboyana, S., Pararas, N., Patel, R., Patkar, S., Peng, J.S., Perfecto, A., Perinel, J., Perivoliotis, K., Perra, T., Phan, M.T., Piccolo, G., Porcu, A., Primavesi, F., Primrose, J., Pueyo-Periz, E., Radenkovic, D., Rammohan, A., Rowcroft, A., Sakata, J., Saladino, E., Schena, C.A., Scholer, A., Schwarz, C., Serrano, P., Silva, M., Soreide, K., Sparrelid, E., Stattner, S., Sturesson, C., Sugiura, T., Sumo, M., Sutcliffe, R., Teh, C., Teo, J.Y., Tepetes, K., Thapa, P.B., Thepbunchonchai, A., Torres, J.B.P., Torres, O.J.M., Torzili, G., Tovikkai, C., Troncoso, A., Tsoulfas, G., Tuzuher, A., Tzimas, G., Umar, G.I., Urbani, L., Vanagas, T., Varga, Velayutham, V., Vigano, L., Wakai, T., Yang, Z., Yip, V., Zacharoulis, D., Zakharov, E.A., Zimmitti, G., Balakrishnan, Anita, Jah, Asif, Lesurtel, Mickael, Andersson, Bodil, Gibbs, Paul, Harper, Simon J.F., Huguet, Emmanuel L., Kosmoliaptsis, Vasilis, Liau, Siong S., Praseedom, Raaj K., Ramia, Jose M., Branes, Alejandro, Lendoire, Javier, Maithel, Shishir, and Serrablo, Alejandro

Published
2022
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45. Independent effect of fat-to-muscle mass ratio at bioimpedance analysis on long-term survival in patients receiving surgery for pancreatic cancer

Author

Marta Sandini, Salvatore Paiella, Marco Cereda, Marco Angrisani, Giovanni Capretti, Simone Famularo, Alessandro Giani, Linda Roccamatisi, Andrea Fontani, Giuseppe Malleo, Roberto Salvia, Franco Roviello, Alessandro Zerbi, Claudio Bassi, and Luca Gianotti

Subjects
bioimpedance analysis, body composition, pancreatic cancer, outcomes, surgical oncology, Nutrition. Foods and food supply, TX341-641
Abstract

IntroductionMalnutrition and alteration of body composition are early features in pancreatic cancer and appear to be predictors of advanced stages and dismal overall survival. Whether specific patient characteristics measured at the preoperative bioimpedance analysis (BIA) could be associated with long-term outcomes following curative resection has not been yet described.MethodsIn a prospective multicenter study, all histologically proven resected pancreatic cancer patients were included in the analysis. BIA was measured for all patients on the day before surgery. Demographics, perioperative data, and postoperative outcomes were prospectively collected. Patients who experienced 90-day mortality were excluded from the analysis. Survival data were obtained through follow-up visits and phone interviews. Bioimpedance variables were analyzed according to the overall survival using the Kaplan–Meier curves and the univariate and multivariate Cox regression model.ResultsOverall, 161 pancreatic cancer patients were included. The median age was 66 (60–74) years, and 27.3% received systemic neoadjuvant treatment. There were 23 (14.3%) patients malnourished in the preoperative evaluation. Median OS was 34.0 (25.7–42.3) months. Several bioimpedance variables were associated with OS at the univariate analysis, namely the phase angle [HR 0.85, 95% CI 0.74–0.98)], standardized phase angle [HR 0.91, 95% CI 0.82–0.99)], and an increased ratio between the fat and lean mass (FM/FFM) [HR 4.27, 95% CI 1.10–16.64)]. At the multivariate analysis, the FM/FFM ratio was a confirmed independent predictor of OS following radical resection, together with a positive lymph nodal status.ConclusionAlteration of body composition at the preoperative bioimpedance vector analysis (BIVA) can predict dismal oncologic outcomes following pancreatic resection for cancer.

Published
2023
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46. Clinical nutrition in surgical oncology: Young AIOM-AIRO-SICO multidisciplinary national survey on behalf of NutriOnc research group

Author

Luigi Marano, Federica Marmorino, Isacco Desideri, Ludovico Carbone, Alessandro Rizzo, Viola Salvestrini, Franco Roviello, Saverio Cinieri, Vittorio Donato, Raffaele De Luca, NutriOnc Research Group, Silvia Sofia, Marco Milone, Benedetto Ielpo, Maria Teresa Mita, Silvia Ministrini, Mario Giuffrida, Roberta Tutino, Caterina Baldi, Giampaolo Perri, Anna Stella Lippolis, Chiara Marafante, Giusy Giannandrea, Marco Vito Marino, Letizia Laface, Salomone Di Saverio, Luca Aldrighetti, Nicola de’Angelis, Nick Salimian, Marco Caricato, Gianluca Pellino, Sara Vertaldi, Federica Cipriani, Gabriella Teresa Capolupo, Antonio Costanzo, Letizia Santandrea, Gaetano Gallo, Andrea Belli, Laura Mastrangelo, Fausto Rosa, Nicolò Pecorelli, Graziella Marino, Alessio Giordano, Nicola Cillara, Maria Lemma, Francesco Pata, Federico Cammillini, Gianmario Edoardo Poto, Giulia Grassi, Donato Francesco Altomare, Arcangelo Picciariello, Lorenzo Petagna, Luca Ippolito, Elio Treppiedi, Daniele Delogu, Abdallah Moukachar, Stefano Granieri, Giuseppe Cuticone, Osvaldo Carpineto Samorani, Daniela Rega, Leonardo Solaini, Stefano de Pascale, Francesca Ascari, Michele Manigrasso, Simona Badalucco, Salvatore Paiella, Sara Coppola, Roberta Iadarola, Giovanna Di Meo, Isacco Montroni, Fabio Vistoli, Valentina Ferraro, Edoardo Saladino, Federico Fazio, Roberta Rota, Francesco Orlando, Simone Famularo, Cinzia Bizzoca, Giorgio Dalmonte, Marco Inama, Luigi Verre, Leandro Siragusa, Casoni Pattacini Gianmaria, Michele Benedetti, Nicolò Tamini, Cristian Conti, Giorgio Ammerata, Serena Mantova, Vito Leonardo Pinto, Arianna Corvasce, Giorgio Micheletti, Teresa Perra, Marco Pellicciaro, Marco Materazzo, Michele Zuolo, Emanuele Doria, Antonio Brillantino, Luca Del Prete, Andrea Muratore, Claudio Luciani, Giulia Turri, Fabio Casciani, Giuliani Giuseppe, Graziana Barile, Oldrà Gaia, Valeria Restaino, Simona Deidda, Michele Ammendola, Andrea Fares Bucci, Patrizia Marsanic, Dario Cassetti, Luca Resca, Daniele Fusario, Eleonora Andreucci, Anna Michelotti, Brunella Amoruso, Isabella Franco, Laura Noto, Andrea Spallanzani, Raimondo Calogero Scalia, Teresa Del Giudice, Valeria Merz, Gianmarco Motta, Alessandro Parisi, Mikol Modesti, Antonella Argentiero, Debora Basile, Gianmarco Vannini, Carlotta Ottanelli, Salvatore Corallo, Eufemia Stefania Lutrino, Daniele Rossini, Federica Morano, Luigia Stefania Stucci, Costanza Winchler, Martina Catalano, Andrea Marini, Giuseppe Brisinda, Enrico Sammarco, Martina Carullo, Giandomenico Roviello, Mirko Barone, Maria Grazia Rodriquenz, Giuseppe Tirino, Alessia Amoruso, Anna Russo, Veronica Conca, Laura Orgiano, Sveva Macrini, Giulia Nazzicone, Maria Bensi, Martina Montesano, Emanuela Dell’Aquila, Andrea Sbrana, Beatrice Borelli, Lorenzo Fornaro, Lucrezia Raimondi, Valeria Zurlo, Mattia Garutti, Elena Ongaro, Arianna Pellegrino, Andrea lanese, Laura Bernardini, Alessandra Boccaccino, Patrizia Farina, Federica Buzzacchino, Angelica Petrillo, Ada Taravella, Vittorio Studiale, Paolo Ciracì, Giovanna Lovino, Dora Di Cosmo, Sabrina Montrone, Fabiana Gregucci, Luca Dominici, Alba Fiorentino, Filippo Carannante, Giambattista Siepe, Giampaolo Montesi, Manuele Roghi, Michele Aquilano, Andrea Romei, Ilaria Bonaparte, Roberta Grassi, Emma D’Ippolito, Giulio Frosini, Giuseppina De Marco, Gennaro Giovine, Chiara Mattioli, Ilaria Morelli, Victoria Lorenzetti, Matteo Mariotti, Carolina Orsatti, Vincenzo Troncone, Lorenzo Livi, Antonio Angrisani, Marco Banini, Teresa Di Pietro, Giuseppe Carlo Iorio, Iacopo Cavallo, Cecilia Cerbai, Valerio Nardone, Francesca De Felice, Consuelo Rosa, Giulia Stocchi, Sara Lucidi, Michele Ganovelli, Damiano Dei, Chiara Cascone, Anna Peru, Luisa Caprara, Lucia Angelini, Luca Visani, Giulio Francolini, Beatrice Bettazzi, Francesco Belia, Virginia Boccardi, Simone Serafini, Vincenzo Bottino, Luca Ferrario, Giuseppe Frazzetta, Felice Pirozzi, Gennaro Martines, Francesco Antonio Ciarleglio, Daniele Indiani, Giuliano Barugola, Luca Mazza, and Chiara Guarini

Subjects
clinical nutrition, cancer, malnutrition, nutritional assessment, survey, Nutrition. Foods and food supply, TX341-641
Abstract

Malnutrition is a common condition in cancer patients which is usually associated with functional limitations, as well as increased morbidity and mortality. Based on the support of the young sections of Italian Association of Medical Oncology (AIOM), Italian Association of Radiotherapy and Clinical Oncology (AIRO) and Italian Society of Surgical Oncology (SICO) merged into the NutriOnc Research Group, we performed a multidisciplinary national survey with the aim to define the awareness of nutritional issues among healthcare professionals delivering anticancer care. The questionnaire was organized in four sections, as follows: Knowledge and practices regarding Nutritional Management of cancer patients; Timing of screening and assessment of Nutritional Status; Nutritional Treatment and prescription criteria; Immunonutrition and educational topics. The modules focused on esophagogastric, hepato-bilio-pancreatic and colorectal malignancies. Overall, 215 physicians completed the survey. As regards the management of Nutritional Status of cancer patients, many responders adopted the ERAS program (49.3%), while a consistent number of professionals did not follow a specific validated nutritional care protocol (41.8%), mainly due to lack of educational courses (14.5%) and financial support (15.3%). Nearly all the included institutions had a multidisciplinary team (92%) to finalize the treatment decision-making. Cancer patients routinely underwent nutritional screening according to 57.2% of interviewed physicians. The timing of nutritional assessment was at diagnosis (37.8%), before surgery (25.9%), after surgery (16.7%), before radiochemotherapy (13.5%) and after radiochemotherapy (7%). Most of the responders reported that nutritional status was assessed throughout the duration of cancer treatments (55.6%). An important gap between current delivery and need of nutritional assessment persists. The development of specific and defined care protocols and the adherence to these tools may be the key to improving nutritional support management in clinical practice.

Published
2023
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48. Benchmarking postoperative outcomes after open liver surgery for cirrhotic patients with hepatocellular carcinoma in a national cohort

Author

Costa, Guido, Milana, Flavio, Fazio, Federico, Ratti, Francesca, Razionale, Francesco, De Peppo, Valerio, Carissimi, Francesca, Paolo Graziano, Giorgio M., Larghi Laurerio, Zoe, Giuffrida, Mario, Cucchetti, Alessandro, Montuori, Mauro, Cosola, Davide, Corleone, Pio, Lazzari, Giovanni, Franceschi, Angelo, Calcagno, Pietro, Salvador, Luca, Manzoni, Alberto, Pennacchi, Luca, Libia, Annarita, Notte, Francesca, Bernasconi, Davide P., Mori, Silvia, Gaudesi, Davide, Famularo, Simone, Russolillo, Nadia, Donadon, Matteo, Cipriani, Federica, Ardito, Francesco, Perri, Pasquale, Giani, Alessandro, De Stefano, Francesca, Lai, Quirino, Molfino, Sarah, Zanello, Matteo, Iaria, Maurizio, La Barba, Giuliano, Pinotti, Enrico, Germani, Paola, Conci, Simone, Ferrari, Cecilia, Fumagalli, Luca, Romano, Maurizio, Antonucci, Adelmo, Zimmitti, Giuseppe, Troci, Albert, Floridi, Antonio, Ferraro, Valentina, Patauner, Stefan, Frena, Antonio, Memeo, Riccardo, Crespi, Michele, Hilal, Mohammed A., Zanus, Giacomo, Chiarelli, Marco, Percivale, Andrea, Ruzzenente, Andrea, Tarchi, Paola, Zago, Mauro, Ercolani, Giorgio, Dalla Valle, Raffaele, Jovine, Elio, Baiocchi, Gian Luca, Rossi, Massimo, Maestri, Marcello, Romano, Fabrizio, Grazi, Gian Luca, Giuliante, Felice, Aldrighetti, Luca, Ferrero, Alessandro, and Torzilli, Guido

Published
2022
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49. The largest western experience on salvage hepatectomy for recurrent hepatocellular carcinoma: propensity score-matched analysis on behalf of He.RC.O.Le.Study Group

Author

Giuffrida, Mario, Russolillo, Nadia, Razionale, Francesco, De Peppo, Valerio, Tomasoni, Matteo, Marchitelli, Ivan, Costa, Guido, Laureiro, Zoe L., Scotti, Mauro, Calcagno, Pietro, Cosola, Davide, Franceschi, Angelo, Manzoni, Alberto, Pennacchi, Luca, Montuori, Mauro, Conticchio, Maria, Ratti, Francesca, Notte, Francesca, Cucchetti, Alessandro, Salvador, Luca, Corleone, Pio, Garancini, Mattia, Ciulli, Cristina, Iaria, Maurizio, Bianchi, Giorgio, Fazio, Federico, Ardito, Francesco, Perri, Pasquale, Pontarolo, Nicholas, Conci, Simone, Donadon, Matteo, Zanello, Matteo, Lai, Quirino, Famularo, Simone, Molfino, Sarah, Sciannamea, Ivano, Fumagalli, Luca, Germani, Paola, Floridi, Antonio, Ferrari, Cecilia, Zimmitti, Giuseppe, Troci, Albert, Zago, Mauro, Ferraro, Valentina, Cipriani, Federica, Patauner, Stefan, La Barba, Giuliano, Romano, Maurizio, Zanus, Giacomo, Ercolani, Giorgio, Frena, Antonio, Aldrighetti, Luca, Memeo, Riccardo, Pinotti, Enrico, Crespi, Michele, Hilal, Moh'd Abu, Griseri, Guido, Tarchi, Paola, Chiarelli, Marco, Antonucci, Adelmo, Baiocchi, Gian L., Romano, Fabrizio, Rossi, Massimo, Jovine, Elio, Torzilli, Guido, Ruzzenente, Andrea, Maestri, Marcello, Grazi, Gian L., Giuliante, Felice, Ferrero, Alessandro, and Dalla Valle, Raffaele

Published
2022
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