3,438 results on '"Saponaro A."'
Search Results
152. CATS 2: Color And Thermal Stereo Scenes with Semantic Labels.
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Wayne Treible, Philip Saponaro, Yi Liu, Agnijit Das Gupta, Vinit Veerendraveer Singh, Scott Sorensen, and Chandra Kambhamettu
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- 2019
153. Estimating Physical Activity Intensity And Energy Expenditure Using Computer Vision On Videos.
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Philip Saponaro, Haoran Wei, Gregory Dominick, and Chandra Kambhamettu
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- 2019
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154. Wildcat: In-The-Wild Color-And-Thermal Patch Comparison with Deep Residual Pseudo-Siamese Networks.
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Wayne Treible, Philip Saponaro, and Chandra Kambhamettu
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- 2019
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155. Densely Connected Stacked U-network for Filament Segmentation in Microscopy Images
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Liu, Yi, Treible, Wayne, Kolagunda, Abhishek, Nedo, Alex, Saponaro, Philip, Caplan, Jeffrey, Kambhamettu, Chandra, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Leal-Taixé, Laura, editor, and Roth, Stefan, editor
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- 2019
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156. The Biological Relevance of NHERF1 Protein in Gynecological Tumors
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Margherita Sonnessa, Sara Sergio, Concetta Saponaro, Michele Maffia, Daniele Vergara, Francesco Alfredo Zito, and Andrea Tinelli
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NHERF1 ,gynecological cancers ,cervical cancer ,ovarian cancer ,Wnt/beta-catenin pathway ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Gynecological cancer management remains challenging and a better understanding of molecular mechanisms that lead to carcinogenesis and development of these diseases is needed to improve the therapeutic approaches. The Na+/H+ exchanger regulatory factor 1 (NHERF1) is a scaffold protein that contains modular protein-interaction domains able to interact with molecules with an impact on carcinogenesis and cancer progression. During recent years, its involvement in gynecological cancers has been explored, suggesting that NHERF1 could be a potential biomarker for the development of new targeted therapies suitable to the management of these tumors. This comprehensive review provides an update on the recent study on NHERF1 activity and its pathological role in cervical and ovarian cancer, as well as on its probable involvement in the therapeutic landscape of these cancer types.
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- 2022
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157. Is There a Crucial Link Between Vitamin D Status and Inflammatory Response in Patients With COVID-19?
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Federica Saponaro, Maria Franzini, Chukwuma Okoye, Rachele Antognoli, Beatrice Campi, Marco Scalese, Tommaso Neri, Laura Carrozzi, Fabio Monzani, Riccardo Zucchi, Alessandro Celi, Aldo Paolicchi, and Alessandro Saba
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COVID-19 ,SARS-CoV-2 ,hypovitaminosis D ,vitamin D ,cytokine storm ,Immunologic diseases. Allergy ,RC581-607 - Abstract
BackgroundHypovitaminosis D has been suggested to play a possible role in coronavirus disease 2019 (COVID-19) infection.MethodsThe aim of this study is to analyze the relationship between vitamin D status and a biochemical panel of inflammatory markers in a cohort of patients with COVID-19. A secondary endpoint was to evaluate the correlation between 25OHD levels and the severity of the disease. Ninety-three consecutive patients with COVID-19-related pneumonia were evaluated from March to May 2020 in two hospital units in Pisa, in whom biochemical inflammatory markers, 25OHD levels, P/F ratio at nadir during hospitalization, and complete clinical data were available.ResultsSixty-five percent of patients presented hypovitaminosis D (25OHD ≤ 20 ng/ml) and showed significantly higher IL-6 [20.8 (10.9–45.6) vs. 12.9 (8.7–21.1) pg/ml, p = 0.02], CRP [10.7 (4.2–19.2) vs. 5.9 (1.6–8.1) mg/dl, p = 0.003], TNF-α [8.9 (6.0–14.8) vs. 4.4 (1.5–10.6) pg/ml, p = 0.01], D-dimer [0.53 (0.25–0.72) vs. 0.22 (0.17–0.35) mg/l, p = 0.002], and IL-10 [3.7 (1.8–6.9) vs. 2.3 (0.5–5.8) pg/ml, p = 0.03]. A significant inverse correlation was found between 25OHD and all these markers, even adjusted for age and sex. Hypovitaminosis D was prevalent in patients with severe ARDS, compared with the other groups (75% vs. 68% vs. 55%, p < 0.001), and 25OHD levels were lower in non-survivor patients.ConclusionsThe relationship between 25OHD levels and inflammatory markers suggests that vitamin D status needs to be taken into account in the management of these patients. If vitamin D is a marker of poor prognosis or a possible risk factor with beneficial effects from supplementation, this still needs to be elucidated.
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- 2022
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158. Experimental challenges in ion channel research: uncovering basic principles of permeation and gating in potassium channels
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Joao Luis Carvalho-de-Souza, Andrea Saponaro, C. A. Z. Bassetto, Oliver Rauh, Indra Schroeder, Fabio Franciolini, Luigi Catacuzzeno, Francisco Bezanilla, Gerhard Thiel, and Anna Moroni
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k+ channel ,gating ,voltage sensor ,selectivity filter ,intramolecular communication ,Physics ,QC1-999 - Abstract
Biological ion channels precisely control the flow of ions across membranes in response to a range of physical and chemical stimuli. With their ability of transporting ions in a highly selective manner and of integrating regulatory cues, they are a source of inspiration for the construction of solid-state nanopores as sensors or switches for practical applications. Here, we summarize recent advancements in understanding the mechanisms of ion permeation and gating in channel proteins with a focus on the elementary steps of ion transport through the pore and on non-canonical modes of intramolecular communication between peripheral sensory domains and the central channel pore.
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- 2022
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159. Gestione clinica del paziente con ipocalcemia
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Saponaro, Federica
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- 2021
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160. Study of the Effects of Regenerative Braking System on a Hybrid Diagnostic Train
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Francesco Cutrignelli, Gianmarco Saponaro, Michele Stefanizzi, Marco Torresi, and Sergio Mario Camporeale
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hybrid ,energy recovery ,regenerative braking ,railway ,diagnostic train ,Technology - Abstract
Nowadays, mobility represents a key sector to achieve the goal of carbon neutrality. Indeed, the development of hybrid powertrains is contributing to a reduction in the environmental impact of vehicles. One of the most promising energy-saving solutions is regenerative braking, which enables deceleration while recovering energy, otherwise wasted. Even though much scientific community effort has been addressed to the optimization of this technology in the automotive field, the increase of energy storage systems efficiencies enables the overcoming of the constraints related to the reuse of electric energy in railway vehicles. This solution could be extremely useful for those railway vehicles which operate on non-electrified lines, where traction is usually provided by diesel engines. For this reason, the present work focuses on how regenerative braking technology could be exploited in diesel-powered rail applications. In further detail, a diagnostic train working on real railway lines has been considered as a case study. Given the real duty-cycle of the vehicle, a simulation model has been developed with the aim of evaluating the amount of energy recovered during braking phases and, consequently, the fuel saving and the avoided CO2 emissions. As a result, the analysis shows an improved energy efficiency of propulsion system. Compared with a pure diesel operation, it leads to fuel savings of 20%, a reduction of CO2 emissions of 22.3 kg with 23.25 kWh stored in the battery at the end of the route.
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- 2023
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161. Assessment of TSA Technique for the Estimation of CFRP T-Joint Debonding
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Palumbo, D., De Finis, R., Saponaro, A., Nobile, R., Panella, F., and Galietti, U.
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- 2021
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162. Skeletal stability in orthognathic surgery with the surgery first approach: a systematic review
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Soverina, D., Gasparini, G., Pelo, S., Doneddu, P., Todaro, M., Boniello, R., Azzuni, C., Grippaudo, C., Saponaro, G., D’Amato, G., Garagiola, U., and Moro, A.
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- 2019
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163. Management of Edentulous Patients
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Lee, Damian J. and Saponaro, Paola C.
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- 2019
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164. Prognostic Value of NLRP3 Inflammasome and TLR4 Expression in Breast Cancer Patients
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Concetta Saponaro, Emanuela Scarpi, Margherita Sonnessa, Antonella Cioffi, Francesca Buccino, Francesco Giotta, Maria Irene Pastena, Francesco Alfredo Zito, and Anita Mangia
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NLRP3 inflammasome ,breast cancer ,prognostic biomarker ,PYCARD ,TLR4 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Inflammasome complexes play a pivotal role in different cancer types. NOD-like receptor protein 3 (NLRP3) inflammasome is one of the most well-studied inflammasomes. Activation of the NLRP3 inflammasome induces abnormal secretion of soluble cytokines, generating advantageous inflammatory surroundings that support tumor growth. The expression levels of the NLRP3, PYCARD and TLR4 were determined by immunohistochemistry in a cohort of primary invasive breast carcinomas (BCs). We observed different NLRP3 and PYCARD expressions in non-tumor vs tumor areas (p
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- 2021
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165. Using big data and Population Health Management to assess care and costs for patients with severe mental disorders and move toward a value-based payment system
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Tozzi, V, Banks, H, Ferrara, L, Barbato, A, Corrao, G, D'Avanzo, B, Di Fiandra, T, Gaddini, A, Compagnoni, M, Sanza, M, Saponaro, A, Scondotto, S, Lora, A, Tozzi, Valeria D, Banks, Helen, Ferrara, Lucia, Barbato, Angelo, Corrao, Giovanni, D'avanzo, Barbara, Di Fiandra, Teresa, Gaddini, Andrea, Compagnoni, Matteo Monzio, Sanza, Michele, Saponaro, Alessio, Scondotto, Salvatore, Lora, Antonio, Tozzi, V, Banks, H, Ferrara, L, Barbato, A, Corrao, G, D'Avanzo, B, Di Fiandra, T, Gaddini, A, Compagnoni, M, Sanza, M, Saponaro, A, Scondotto, S, Lora, A, Tozzi, Valeria D, Banks, Helen, Ferrara, Lucia, Barbato, Angelo, Corrao, Giovanni, D'avanzo, Barbara, Di Fiandra, Teresa, Gaddini, Andrea, Compagnoni, Matteo Monzio, Sanza, Michele, Saponaro, Alessio, Scondotto, Salvatore, and Lora, Antonio
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Background: Mental health (MH) care often exhibits uneven quality and poor coordination of physical and MH needs, especially for patients with severe mental disorders. This study tests a Population Health Management (PHM) approach to identify patients with severe mental disorders using administrative health databases in Italy and evaluate, manage and monitor care pathways and costs. A second objective explores the feasibility of changing the payment system from fee-for-service to a value-based system (e.g., increased care integration, bundled payments) to introduce performance measures and guide improvement in outcomes. Methods: Since diagnosis alone may poorly predict condition severity and needs, we conducted a retrospective observational study on a 9,019-patient cohort assessed in 2018 (30.5% of 29,570 patients with SMDs from three Italian regions) using the Mental Health Clustering Tool (MHCT), developed in the United Kingdom, to stratify patients according to severity and needs, providing a basis for payment for episode of care. Patients were linked (blinded) with retrospective (2014–2017) physical and MH databases to map resource use, care pathways, and assess costs globally and by cluster. Two regions (3,525 patients) provided data for generalized linear model regression to explore determinants of cost variation among clusters and regions. Results: Substantial heterogeneity was observed in care organization, resource use and costs across and within 3 Italian regions and 20 clusters. Annual mean costs per patient across regions was €3,925, ranging from €3,101 to €6,501 in the three regions. Some 70% of total costs were for MH services and medications, 37% incurred in dedicated mental health facilities, 33% for MH services and medications noted in physical healthcare databases, and 30% for other conditions. Regression analysis showed comorbidities, resident psychiatric services, and consumption noted in physical health databases have considerable impact on tota
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- 2023
166. Allocation of Users of Mental Health Services to Needs-Based Care Clusters: An Italian Pilot Study
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Barbato, A, D'Avanzo, B, Corrao, G, Di Fiandra, T, Ferrara, L, Gaddini, A, Jarach, C, Monzio Compagnoni, M, Saponaro, A, Scondotto, S, Tozzi, V, Lora, A, Barbato, Angelo, D'Avanzo, Barbara, Corrao, Giovanni, Di Fiandra, Teresa, Ferrara, Lucia, Gaddini, Andrea, Jarach, Carlotta Micaela, Monzio Compagnoni, Matteo, Saponaro, Alessio, Scondotto, Salvatore, Tozzi, Valeria D, Lora, Antonio, Barbato, A, D'Avanzo, B, Corrao, G, Di Fiandra, T, Ferrara, L, Gaddini, A, Jarach, C, Monzio Compagnoni, M, Saponaro, A, Scondotto, S, Tozzi, V, Lora, A, Barbato, Angelo, D'Avanzo, Barbara, Corrao, Giovanni, Di Fiandra, Teresa, Ferrara, Lucia, Gaddini, Andrea, Jarach, Carlotta Micaela, Monzio Compagnoni, Matteo, Saponaro, Alessio, Scondotto, Salvatore, Tozzi, Valeria D, and Lora, Antonio
- Abstract
In Italy, despite strong community-based mental health services, needs assessment is unsatisfactory. Using the Mental Health Clustering Tool (MHCT) we adopted a multidimensional and non-diagnosis dependent approach to assign mental health services users with similar needs to groups corresponding to resources required for effective care. We tested the MHCT in nine Departments of Mental Health in four Italian regions. After a brief training, 318 professionals assessed 12,938 cases with a diagnosis of schizophrenia, depression, bipolar disorder and personality disorder through the MHCT. 53% of cases were 40–59 years, half were females, 51% had a diagnosis of schizophrenia, 48% of cases were clinically severe. Clusters included different levels of clinical severity and diagnostic groups. The largest cluster was 11 (ongoing recurrent psychosis), with 18.9% of the sample, followed by cluster 3 (non-psychotic disorders of moderate severity). The MHCT could capture a variety of problems of people with mental disorders beyond the traditional psychiatric assessment, therefore depicting service population from a different standpoint. Following a brief training, MHCT assessment proved to be feasible. The automatic allocation of cases made the attribution to clusters easy and acceptable by professionals. To what extent clustering provide a sound base for care planning will be the matter of further research.
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- 2023
167. Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries
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Adisa, A, Bahrami-Hessari, M, Bhangu, A, George, C, Ghosh, D, Glasbey, J, Haque, P, Ingabire, J, Kamarajah, S, Kudrna, L, Ledda, V, Li, E, Lillywhite, R, Mittal, R, Nepogodiev, D, Ntirenganya, F, Picciochi, M, Simões, J, Booth, L, Elliot, R, Kennerton, A, Pettigrove, K, Pinney, L, Richard, H, Tottman, R, Wheatstone, P, Wolfenden, J, Smith, A, Sayed, A, Goswami, A, Malik, A, Mclean, A, Hassan, A, Nazimi, A, Aladna, A, Abdelgawad, A, Saed, A, Abdelmageed, A, Ghannam, A, Mahmoud, A, Alvi, A, Ismail, A, Adesunkanmi, A, Ebrahim, A, Al-Mallah, A, Alqallaf, A, Durrani, A, Gabr, A, Kirfi, A, Altaf, A, Almutairi, A, Sabbagh, A, Ajiya, A, Haddud, A, Alnsour, A, Singh, A, Mittal, A, Semple, A, Adeniran, A, Negussie, A, Oladimeji, A, Muhammad, A, Yassin, A, Gungor, A, Tarsitano, A, Soibiharry, A, Dyas, A, Frankel, A, Peckham-Cooper, A, Truss, A, Issaka, A, Ads, A, Aderogba, A, Adeyeye, A, Ademuyiwa, A, Sleem, A, Papa, A, Cordova, A, Appiah-Kubi, A, Meead, A, Nacion, A, Michael, A, Forneris, A, Duro, A, Gonzalez, A, Altouny, A, Ghazal, A, Khalifa, A, Ozair, A, Quzli, A, Haddad, A, Othman, A, Yahaya, A, Elsherbiny, A, Nazer, A, Tarek, A, Abu-Zaid, A, Al-Nusairi, A, Azab, A, Elagili, A, Elkazaz, A, Kedwany, A, Nuhu, A, Sakr, A, Shehta, A, Shirazi, A, Mohamed, A, Sherif, A, Awad, A, Abbas, A, Abdelrahman, A, Ammar, A, Azzam, A, Ciftci, A, Dural, A, Sanli, A, Rahy-Martín, A, Tantri, A, Khan, A, Al-Touny, A, Tariq, A, Gmati, A, Costas-Chavarri, A, Auerkari, A, Landaluce-Olavarria, A, Puri, A, Radhakrishnan, A, Ubom, A, Pradhan, A, Turna, A, Adepiti, A, Kuriyama, A, Kassam, A, Hassouneh, A, El-Hussuna, A, Habeebullah, A, Mousli, A, Biloslavo, A, Hoang, A, Kirk, A, Santini, A, Melero, A, Calvache, A, Baduell, A, Chan, A, Abrate, A, Balduzzi, A, Sánchez, A, Navarrete-Peón, A, Porcu, A, Brolese, A, Barranquero, A, Saibene, A, Adam, A, Vagge, A, Maquilón, A, Leon-Andrino, A, Sekulić, A, Trifunovski, A, Mako, A, Bedada, A, Broglia, A, Coppola, A, Giani, A, Grandi, A, Iacomino, A, Moro, A, D’Amico, A, Malagnino, A, Tang, A, Doyle, A, Alfieri, A, Haynes, A, Wilkins, A, Baldwin, A, Heriot, A, Laird, A, Lazarides, A, O'Connor, A, Trulson, A, Rokohl, A, Caziuc, A, Triantafyllou, A, Anesi, A, Nikova, A, Andrianakis, A, Charalabopoulos, A, Tsolakidis, A, Chirca, A, Arnaud, A, Narvaez-Rojas, A, Kavalakat, A, Spina, A, Recordare, A, Annicchiarico, A, Conti, A, Mohammed, A, Kocataş, A, Almhimid, A, Arnaout, A, Fahmy, A, Mangi, A, Modabber, A, Ulas, A, Mohamedahmed, A, Frontali, A, Moynihan, A, Yunus, A, Ahmad, A, Kent, A, Khamees, A, Ugwu, A, Turan, A, Navarro-Barrios, A, Yebes, A, De Sousa, Á, Moreno, A, Sethi, A, Dawson, A, Kaur, A, Wolde, A, Antonelli, A, Scifo, A, Alhamad, A, Davis, A, Alderazi, A, Harky, A, Mohammed-Durosinlorun, A, Seguya, A, Okhakhu, A, Chamakhi, A, Sebai, A, Souadka, A, Asla, A, Agrawal, A, Persad, A, Gupta, A, Elgazar, A, Kulkarni, A, Coates, A, Bellés, A, Hadzibegovic, A, Jotic, A, Kowark, A, Martins, A, Pineda, A, Peral, A, Gollarte, A, Senent-Boza, A, Camarena, A, Castaño-Leon, A, Bravo, A, Musina, A, Tapia-Herrero, A, Kothari, A, Raja, A, Aljaiuossi, A, Taha, A, Majbar, A, Prodromidou, A, Kanatas, A, Gupte, A, Zakaria, A, Balla, A, Barberis, A, Bondurri, A, Bottari, A, Costantino, A, Figus, A, Lauretta, A, Mingoli, A, Romanzi, A, Sagnotta, A, Scacchi, A, Picchetto, A, Valadez, A, Luzzi, A, Älgå, A, Fontalis, A, Hecker, A, Demetriades, A, Serban, A, Văcărașu, A, Cokan, A, Isaza-Restrepo, A, Beamish, A, Schache, A, Stevenson, A, Yiu, A, Cockbain, A, Litvin, A, Abad-Motos, A, Becerra, A, Ramos, Á, Chiaradia, A, Dell, A, Romano, A, Pascale, A, Marra, A, Dimas, A, Kolias, A, Cerovac, A, Koneru, A, Tidjane, A, Agbeko, A, Bajaj, A, Gosain, A, Allan, A, Carreras-Castañer, A, D'Amore, A, Dare, A, Maffioli, A, Palepa, A, Paspala, A, Konney, A, Gatta, A, Ezanno, A, Yiallourou, A, Kinnair, A, Rayner, A, Scafa, A, Bowan, A, Veglia, A, Russo, A, Maniaci, A, Castaldi, A, Gil-Moreno, A, Maffuz-Aziz, A, Meola, A, Nenna, A, Ferrer, A, Bonilla, A, Ramos-De La Medina, A, Infante, A, Santoro, A, Laganà, A, Bateman, A, Abozid, A, Seidu, A, Lowery, A, Tantraworasin, A, Rasheed, A, Picciariello, A, Isik, A, Saif, A, Anjum, A, Ioannidis, A, Abeldaño, A, Hussain, A, Nathan, A, Bedzhanyan, A, Perfecto, A, De Virgilio, A, Galvan, A, Sablotzki, A, Böttcher, A, Pellacani, A, Gatti, A, Ibrahimli, A, Menon, A, Sahni, A, Mwenda, A, Choudhry, A, Jayawardane, A, Ramasamy, A, Mitul, A, Bawa, A, Nugur, A, Rammohan, A, Sachdeva, A, Mehraj, A, Yildirim, A, Alqaseer, A, Radwan, A, Sallam, A, Syllaios, A, Tampakis, A, Alwael, A, Samara, A, Eroglu, A, Rahman, A, Ulkucu, A, Zaránd, A, Dulskas, A, Tawiah, A, Zani, A, Vas, A, Lukosiute-Urboniene, A, Adamu, A, Aujayeb, A, İplikçi, A, Mahmud, A, Cil, A, Makanjuola, A, Akwaisah, A, Galandarova, A, Saracoglu, A, Regan, A, Barlas, A, Alhassan, B, Mostafa, B, Hamida, B, Torun, B, Abdullah, B, Balagobi, B, Banky, B, Singh, B, Alegbeleye, B, Yigit, B, Hajjaj, B, Burgos-Blasco, B, Seeliger, B, Alayande, B, Alhazmi, B, Enodien, B, Torre, B, Pérez, B, Tamayo, B, De Andrés-Asenjo, B, Quintana-Villamandos, B, Girgin, B, Barmayehvar, B, Beisenov, B, Creavin, B, Dunne, B, Marson, B, Waterson, B, Martin, B, Zucker, B, Wong, B, Ozmen, B, Hammond, B, Mbwele, B, Núñez, B, Dhondt, B, Gafsi, B, Mcleish, B, Lieske, B, Tailor, B, La Pira, B, Picardi, B, Zampogna, B, Casagranda, B, Festa, B, Panda, B, Kirmani, B, Sulaiman, B, Gurung, B, Zacharia, B, Bette, B, Ayana, B, Nikolovska, B, Vilaró, B, De Vega Sánchez, B, Hameed, B, Diaconescu, B, Kovacevic, B, Bumber, B, Sakakushev, B, Tadic, B, Malek, B, Alrayes, B, Thomas, B, Gális, B, Gallagher, B, Knowles, B, Cunningham, B, Daley, B, Mishra, B, Ashford, B, Pirozzi, B, Berselli, B, Martinez-Leo, B, Sensi, B, Nardo, B, Celik, B, Giray, B, Abud, B, Almiqlash, B, Pramesh, C, Taskiran, C, De Campos Prado, C, Cipolla, C, Kumar, C, English, C, Riccetti, C, Vanni, C, Brasset, C, Downey, C, Duffy, C, Chwat, C, Cutmore, C, Sars, C, Ratto, C, Pacilio, C, De La Infiesta García, C, Moreno, C, Magalhães, C, Prada, C, Zapata, C, Senni, C, Flumignan, C, Martinez-Perez, C, Duarte, C, Garcia, C, Anderson, C, Hing, C, Cullinane, C, Cina, C, Zabkiewicz, C, Sohrabi, C, Guldogan, C, Ciubotaru, C, Desai, C, Raut, C, Demetriou, C, Handford, C, Okpani, C, Paranjape, C, Koh, C, Khatri, C, Parmar, C, Mok, C, Caricato, C, Marafante, C, Echieh, C, Tan, C, Ong, C, Conso, C, Jardinez, C, Konrads, C, Warner, C, Makwe, C, Henein, C, Fleming, C, Roland, C, Maurus, C, Nitschke, C, Mittermair, C, Mallmann, C, Andro, C, Harmston, C, Kuppler, C, Lotz, C, Nahm, C, Rowe, C, Ryalino, C, Wallis, C, Millward, C, Anthoulakis, C, Apostolou, C, Chouliaras, C, Kalfountzos, C, Kaselas, C, Vosinakis, C, Okereke, C, Chean, C, Barlow, C, Tatar, C, Clancy, C, Forde, C, Sharpin, C, Mccarthy, C, Nestor, C, Warden, C, Ávila, C, Massaguer, C, Fang, C, Martins, C, Guerci, C, Mauriello, C, Holzmeister, C, Miller, C, Weber, C, Wiesinger, C, Kenington, C, Noel, C, Sue-Chue-Lam, C, Adumah, C, Neary, C, Sen, C, Fitzgerald, C, Ezeme, C, Nastos, C, Mesina, C, Bombardini, C, Torregrosa, C, Valdespino, C, Don, C, Wickramasinghe, D, Milanesi, D, Armijos, D, Asiimwe, D, Beswick, D, Clerc, D, Cox, D, Doherty, D, Martínez, D, Lechuga, D, Gero, D, Gil-Sala, D, Lindegger, D, Reim, D, Shaerf, D, Shmukler, D, Branzan, D, Filipescu, D, Rega, D, Bernardi, D, Bissacco, D, Fusario, D, Morezzi, D, Sabella, D, Zimak, D, Vinci, D, Sale, D, Khan, D, Thereska, D, Andreotti, D, Tartaglia, D, Abdulai, D, Mukherjee, D, Verdi, D, Idowu, D, John, D, Johnson, D, Moro-Valdezate, D, Naumann, D, Omar, D, Proud, D, Roberts, D, Guzmán, D, Watson, D, Bergkvist, D, Lumenta, D, Ferrari, D, Rizzo, D, Degarege, D, Castillo, D, Douglas, D, Wright, D, Nanjiani, D, Bratus, D, Altun, D, Sievers, D, Vaysburg, D, Katechia, D, Azize, D, Rodrigues, D, Pachajoa, D, Hayne, D, Mutter, D, Raimondo, D, Eskinazi, D, Sasia, D, Corallino, D, Muduly, D, Grewal, D, Hadzhiev, D, Peristeri, D, Pournaras, D, Raptis, D, Angelou, 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Triantafyllou, Tania, Valadez, Tania Abigail Cueto, Singh, Tanveer, Khaliq, Tanwir, Patel, Tapan, Fadalla, Tarig, Jichi, Tarik, Sammour, Tarik, Al-Shaiji, Tariq, Naggs, Taryn, Barišić, Tatjana, Nikolouzakis, Taxiarchis, Bisgin, Tayfun, Perra, Teresa, Uprak, Tevfik Kıvılcım, Dagklis, Themistoklis, Liakakos, Theodore, Sidiropoulos, Theodoros, Adjeso, Theophilus Justus Kofi, Dölker, Theresa, Oung, Thida, Aherne, Thomas, Diehl, Thomas, Pinkney, Thomas, Raymond, Thomas, Rhomberg, Thomas, Schmitz-Rixen, Thomas, Madhuri, Thumuluru Kavitha, Lohmann, Tibor Karl, Yeoh, Tien, Zaimis, Tilemachos, Bright, Tim, Vilz, Tim O, Glowka, Tim R, Board, Timothy, Hardcastle, Timothy, Cohnert, Tina, Mahečić, Tina Tomić, William, Tinka George, Klatte, Tobias, Abbott, Tom, Watcyn-Jones, Tom, Mendes, Tome, Kulis, Tomislav, Sečan, Tomislav, Campagnaro, Tommaso, Frisoni, Tommaso, Simoncini, Tommaso, Violante, Tommaso, Safranovs, Toms Janis, Risteski, Toni, Pang, Tony, Akinyemi, Tosin, Yotsov, Tsanko, Laeke, Tsegazeab, Kochiyama, Tsukasa, Sholadoye, Tunde T, Alekberli, Tural, Ezomike, Uchechukwu, Giustizieri, Ugo, Grossi, Ugo, Köksoy, Ülkü Ceren, Bork, Ulrich, Kisser, Ulrich, Ronellenfitsch, Ulrich, Saeed, Umar, Bracale, Umberto, Jayarajah, Umesh, Rauf, Umme Habiba Abdul, Bumbasirevic, Uros, Ferrer, Ursula María Jariod, Ahmed, Usama, Bello, Usman Mohammed, Jogiat, Uzair, Sadia, Uzma, Galandarov, Vagif, Narayanan, Vairavan, Calu, Valentin, Bianchi, Valentina, Ciniero, Valeria, Tonini, Valeria, Silvestri, Vania, Vijay, Vardhini, Dewan, Varun, Lohsiriwat, Varut, Thuduvage, Vasanthika, Mousafeiris, Vasileios, Dragisic, Vedran, Sasireka, Veerasamy, Santric, Veljko, Kusuma, Venkata Ramana Murthy, Kolli, Venkata Satish, Alonso, Veronica, De Simone, Veronica, Picotti, Veronica, Martínez, Verónica Martín, Panduro-Correa, Vicky, Kakotkin, Victor, Angulo, Victor Pinto, Turrado-Rodriguez, Victor, Krishnamoorthy, Vijay, Ban, Vin Shen, Shah, Vinay, Maiola, Vincenza, Giordano, Vincenzo, La Vaccara, Vincenzo, Lizzi, Vincenzo, Papagni, Vincenzo, Schiavone, Vincenzo, Satchithanantham, Vinojan, Garcia-Virto, Virginia, Jimenez, Virginia, Kumar, Vishal, Shelat, Vishal, Bhat, Vivek, Sodhai, Vivek, Graziadei, Vivien, Kutuzov, Vladislav, Stoyanov, Vladislav, Oktseloglou, Vlasios, Flis, Vojko, Elhassan, Wael Atif Fadl, Yang, Wah, Soon, Wai Cheong, Tashkandi, Wail, Al-Khyatt, Waleed, Mabood, Waleed, Bijou, Walid, Wijenayake, Wasantha, D, Wasim, Krawczyk, Wiktor, Atkins, William, Bolton, William, White, William, Ceelen, Wim, Vagena, Xanthoula, Gozal, Yaacov, Baba, Yabasin Iddrisu, Subramani, Yamini, Jansen, Yanina, Mittal, Yash, Kara, Yasi̇n, Zwain, Yasir, Noureldin, Yasser, Alawneh, Yazan, Aydin, Yener, Lam, Yick Ho, Tang, Yita, Lim, Yizhe, Dean, Yomna, Tanas, Yousef, Su, Yu-Xiong, Fujimoto, Yuki, Altinel, Yuksel, Frolova, Yulia, Oshodi, Yusuf, Fadel, Zahir T, Zahid, Zahra, Elahi, Zain, Djama, Zakarya, Zaheen, Zakia, Jawad, Zaynab, Demetrashvili, Zaza, Gebremeskel, Zersenay, Gudisa, Zewdie, 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Cross, George W V, Micha, Georgia, Chrysovitsiotis, Georgios, Koukoulis, Georgios, Peros, Georgios, Tsoulfas, Georgios, Kapetanios, Georgios, Karagiannidis, Georgios, Verras, Georgios-Ioannis, Ekwen, Gerald, Perrotta, Gerardo, Petruzzi, Gerardo, Bertelli, Giacomo, Calini, Giacomo, Fiacchini, Giacomo, Pirola, Giacomo Maria, Dolci, Giampiero, Mendiola, Gian, Baiocchi, Gian Luca, Palini, Gian Marco, Prucher, Gian Marco, D'andrea, Giancarlo, Maggiore, Giandomenico, Cassese, Gianluca, Franceschini, Gianluca, Pellino, Gianluca, Saponaro, Gianmarco, Pattacini, Gianmaria Casoni, Pantuso, Gianni, Iannella, Giannicola, Bonsaana, Gilbert Batieka, Lever, Gillian, Brachini, Gioia, Giraudo, Giorgio, Lisi, Giorgio, Russo, Giorgio Ivan, Aprea, Giovanni, Pascale, Giovanni, Tomasicchio, Giovanni, Sandri, Giovanni Battista Levi, Armatura, Giulia, Turri, Giulia, Zaccaria, Giulia, Barugola, Giuliano, Lantone, Giuliano, Gasparini, Giulio, Iacob, Giulio, Sozzi, Giulio, Zancana, Giuseppa, Mercante, Giuseppe, 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Basendowah, Mohammed, Deputy, Mohammed, Jibreel, Mohammed, Alam, Mohammed Shadrul, Alsharif, Mohammed, Issahalq, Mohammed Duah, Omer, Mohammed Eltahier Abdalla, Abubakar, Mohammed Kabir, Draman, Mohd Rusdi, Elnour, Moheyaldien Ahmed Elamin, Eltayeb, Momin, Castillo, Monica Noguez, Jawad, Monir, Raut, Monish, Ghalleb, Montassar, Katsura, Morihiro, Lebe, Moritz, Abbas, Mostafa, Abdelrahman, Mostafa, Shalaby, Mostafa, Farhan-Alanie, Muhamed, Farooq, Muhammad, Musadaq, Muhammad, Arshad, Muhammad, Anjum, Muhammad Ayyub, Usman, Muhammad, Chaudhary, Muhammad Amjad, Raza, Muhammad Asif, Karim, Muhammad Fairuz Shah Abd, Chaudhary, Muhammad Hamid, Janjua, Muhammad Haris, Khokhar, Muhammad Imran, Malik, Muhammad Isfandyar Khan, Pirzada, Muhammad Taqi, Younis, Muhammad Umar, Elhadi, Muhammed, Suer, Muhammed Salih, Ergenç, Muhammer, Binnawara, Muhannud, Emmanuel, Muhawenimana, Abbasi, Mujeeb, Naimzada, Mukhammad David, Kulimbet, Mukhtar, Kusunoki, Munenori, Eugene, Muneza, Chauhan, Munish, Shokor, Muntaser Abu, Aljiffry, Murad, Kalın, Murat, Kurawa, Musbahu, Dincer, Müserref Beril, Tolani, Musliu Adetola, Soytas, Mustafa, Yakubu, Mustapha, Usman, Mustapha Ibrahim, Aremu, Muyiwa, Paranyak, Mykola, Talat, Nabila, Kausar, Nabila, Dudi-Venkata, Nagendra, Bazzi, Nagham, Hasan, Najat Ben, Van Wyk, Naomi Natasha, Shaban, Naseebah, Almgla, Naser, Kandevani, Naser Yousefzadeh, Alzerwi, Nasser, Alvarez, Natalia, Motas, Natalia, Rincón, Natalia Andrea Rivera, Blencowe, Natalie, Simon, Natalie, Aghtarafi, Natasha, Ghuman, Navdeep Kaur, Sharma, Naveen, Wijekoon, Naveen, Kumar, Navin, Hassan, Naya, Onyemaechi, Ndubuisi, Prijović, Nebojša, Özçay, Necdet, Goel, Neha, Segaren, Neil, Sharma, Neil, Kalyva, Nektaria, Palacios, Nelson Morales, Alonso, Nestor Fabian Pedraza, Onyeagwara, Ngozi, Petrucciani, Niccolò, Daddi, Niccolo’, Lightfoot, Nicholas, Power, Nicholas, Segaren, Nicholas, Starr, Nichole, Dreger, Nici Markus, Cillara, Nicola, Colucci, Nicola, Eardley, Nicola, Tartaglia, Nicola, Zanini, Nicola, Bacalbasa, Nicolae, Campuzano, Nicolas, Mouawad, Nicolas, Federico, Nicoletta Sveva Pipitone, Tamini, Nicolò, Mariani, Nicolò Maria, Beasley, Nigel, Adu-Aryee, Nii Armah, Burlov, Nikita, Dimitrokallis, Nikolaos, Gouvas, Nikolaos, Machairas, Nikolaos, Memos, Nikolaos, Thomakos, Nikolaos, Tsakiridis, Nikolaos, Schizas, Nikolaos, Börner, Nikolaus, Theochari, Nikoletta, Al-Saadi, Nina, Glass, Nina, Horesh, Nir, R, Nissi Evelyn, Gahlot, Nitesh, Ismail, Nizar, Aljirdabi, Noof, Maria, Noor Ul Huda, Trabulsi, Nora, Akeel, Nouf, Borges, Nuno, Moda, Nupur, Redondo, Nuria Villacé, Nyarko, Obed Ofori, Ginghina, Octav, Enciu, Octavian, Okere, Oghenekevwe, Ekwunife, Okechukwu Hyginus, Quadri, Oladeji, Ogundoyin, Olakayode, Tucker, Olga, Mateo-Sierra, Olga, Azzis, Olivier, Ojewuyi, Olufemi, Habeeb, Olufemi, Idowu, Olufemi, Elebute, Olumide, Agboola, Oluseyi, Ladipo-Ajayi, Oluwaseun, Oyinloye, Oluwaseun, Adebola, Oluwaseyi, Ekor, Oluwayemisi, Ogundoyin, Oluwole, Salamanca, Omar, Vergara-Fernandez, Omar, Wafi, Omar, Aladawi, Omar, Bahassan, Omar Mohammed, Tammo, Ömer, Ozkan, Omer Faruk, Williams, Omolara Modupe, Salami, Omotayo, Akinajo, Opeyemi, Sakhov, Orazbek, Gallo, Oreste, Sole, Oriol Martin, Milella, Oronzo, Alser, Osaid, Bettar, Osama Al, Alomar, Osama, Osman, Osama Saeed, Aisuodionoe-Shadrach, Oseremen, Basnayake, Oshan, Bozbiyik, Osman, Hodges, Owen, Ojo, Owolabi, Yanık, Özge, Mutlu, Özgecan Pırıl Zanbak, Kazan, Ozgur, Calavia, Pablo, García, Pablo Rodríguez, Urriza, Pablo Vallés, Lopez, Paloma Rodriguez, Christidis, Panagiotis, Dorovinis, Panagiotis, Kokoropoulos, Panagiotis, Mourmouris, Panagiotis, Papatheodorou, Panayiotis, Garg, Pankaj Kumar, Patel, Panna, Vassiliu, Panteleimon, Campennì, Paola, De Nardi, Paola, Bernante, Paolo, Ubiali, Paolo, Baroffio, Paolo, Pizzini, Paolo, Sapienza, Paolo, Myrelid, Par, Chatzikomnitsa, Paraskevi, Tsiantoula, Paraskevi, Gada, Parth, Avella, Pasquale, Cianci, Pasquale, Romero, Patricia, Méndez, Patricia Serrano, Pazmiño, Patricio Andrés Freile, Coughlin, Patrick, Kirchweger, Patrick, Pessaux, Patrick, Maguire, Patrick J, Petrone, Patrizio, Cullis, Paul, Köglberger, Paul, Marriott, Paul, Nankivell, Paul, Santos-Costa, Paulo, Martins, Paulo N, Panahi, Pedram, Botelho, Pedro, Teixeira, Pedro, Escobar, Pedro, Vázquez, Pedro José Gil, Gribnev, Petar, Nolte, Peter, Agbonrofo, Peter, Bobak, Peter, Choong, Peter, Elbe, Peter, Hutchinson, Peter, Labib, Peter, Paal, Peter, Pockney, Peter, Reemst, Peter, Szatmary, Peter, Vaughan-Shaw, Peter G, Alexander, Philip, Pucher, Philip, Stather, Philip, Foessleitner, Philipp, Winnand, Philipp, Zehnder, Philipp, Kruse, Philippe, Matos, Philomena Alice Wawer, Lapolla, Pierfrancesco, Cicerchia, Pierfranco Maria, Solli, Piergiorgio, Di Lascio, Pierpaolo, Zarif, Pierre, Champagne, Pierre-Olivier, Anoldo, Pietro, Bertoglio, Pietro, Fransvea, Pietro, Familiari, Pietro, Lombardi, Pietro Maria, Stogowski, Piotr Tomasz, Bruzzaniti, Placido, Tripathi, Prashant, D'sa, Prashanth, Salunke, Pravin, Shah, Pritik A, Punjabi, Prof Prakash P, Christodoulou, Prokopis, Hamdan, Qusai, Tawalbeh, Ra'fat, Gadelkareem, Rabea, Awad, Rabih, Callcut, Rachael, Clegg, Rachael, Choron, Rachel, Payne, Rachel, Gefen, Rachel, Costea, Radu, Drasovean, Radu, Mirica, Radu Mihail, Ravindra, Raevin, Fajardo, Rafael Torres, Nunes, Rafael Leite, Aspide, Raffaele, Lombardi, Raffaele, Vidya, Raghavan, Elboraei, Rahma, Saaid, Rahmah, Ghodke, Rahul, Gupta, Rahul, Sharma, Rahul Deo, Lunevicius, Raimundas, Kalayarasan, Raja, Mohan, Rajashekar, Singh, Rajdeep, Sivaprakasam, Rajesh, Seenivasagam, Rajkumar Kottayasamy, Rajendram, Rajkumar, Radulescu, Raluca Bievel, Goicea, Raluca, Seshadri, Ramakrishnan Ayloor, Sarı, Ramazan, Nataraja, Ramesh, Aslam, Ramisha, Abdelemam, Rania, Shrestha, Rashmit, Bharathan, Rasiah, Pellini, Raul, Guevara, Raul, Agarwal, Ravi, Vissapragada, Ravi, Alharmi, Rawan Arahman, Sayyed, Raza, Browning, Rebecca, Critchley, Rebecca, Mallick, Rebecca, Alarabi, Rehab, Beron, Reinaldo Isaacs, Függer, Reinhold, Othman, Rema, Saad, Rema, Amores, Remedios Revilla, Colombari, Renan Carlo, Radivojević, Renata Curic, Patrone, Renato, Novysedlák, René, Huatuco, René Manuel Palacios, Baertschiger, Reto, Liang, Rhea, Luckwell, Rhys, Escrevente, Ricardo, Rezende, Ricardo Fernandes, Cruz, Ricardo Pedrini, Lenzi, Riccardo, Rosati, Riccardo, Donovan, Richard, Egan, Richard, Morris, Richard, Page, Richard, Seglenieks, Richard, Unsworth, Richard, Wilkin, Richard, Skipworth, Richard Je, Davies, Richard Justin, Bezirci, Rifat, Talwar, Rishi, Azami, Rizwan, Bohmer, Rob, Crichton, Robert, Fruscio, Robert, Hooker, Robert, Jach, Robert, Parker, Robert, Pillerstorff, Robert, Sinnerton, Robert, Stabler, Robert, O'connell, Robert Michael, Ragozzino, Roberta, Tutino, Roberta, Angelico, Roberta, Cammarata, Roberto, Colasanti, Roberto, Macchiavello, Roberto, Peltrini, Roberto, Pirrello, Roberto, Vaschetti, Roberto, Pires, Robinson Esteves, Papalia, Rocco, Arrangoiz, Rodrigo, Hompes, Roel, Salah, Rokeya, Pinto, Romina, Flumignan, Ronald, Callan, Rory, Cuthbert, Rory, Dennis, Rory, Scaramuzzo, Rosa, Macías, Rosa Montero, Sánchez, Rosa, Ogu, Rosemary, Ramely, Rosnelifaizur, Sgarzani, Rossella, Ramli, Roszalina, Hillier, Roxane, Thumbadoo, Ruben, Ooi, Rucira, Abdus-Salam, Rukiyat, Masri, Ruqaya, Hodgson, Russell, Mathew, Ryan, Wade, Ryckie, D'archi, Sabatino, Khan, Sabina, Ngaserin, Sabrina, Kale, Sachin, Hassan, Sadiq, Merghani, Safa, Benamar, Safia, Muhammad, Sagir, Badran, Saif, Elsahli, Saifaleslam, Heta, Saimir, Hammouche, Salah, Baeesa, Saleh, Paiella, Salvatore, Eldeen, Samaher Taj Eldeen Hassan Taj, Arkani, Samara, Mittal, Samarth, Hirji, Sameer, Tebha, Sameer, Emile, Sameh, Dbouk, Samer, Bandyopadhyay, Samik Kumar, Muhammad, Saminu, Olori, Samson, Asirifi, Samuel Amoako, Hailu, Samuel, Ling, Samuel, Newman, Samuel, Ross, Samuel, Wanjara, Samuel, Kumar, Sandip, Seneviratne, Sanjeewa, Tamburello, Sara, Suarez, Sara Busto, Ingallinella, Sara, Irshaidat, Sara, Konswa, Sara, Mambrilla, Sara, Nasser, Sara, Parini, Sara, Pitoni, Sara, Ornaghi, Sara, Rodrigues, Sara Castanheira, Abdelmohsen, Sarah, Aitken, Sarah, Tian, Sarah, Badiani, Sarit, Ahmad, Sarwat, Swed, Sarya, Muthu, Sathish, Lakpriya, Sathya, Alzahrani, Saud, Mikalauskas, Saulius, Lasrado, Savita, Satoskar, Savni, Bawa, Sayesha, Altiner, Saygin, Garcia, Sean, Stevens, Sean, Demir, Sebahattin, Ken-Amoah, Sebastian, Tranca, Sebastian, Ziemann, Sebastian, Awad, Selmy, Atici, Semra Demirli, Subramaniam, Sentilnathan, Erel, Serap, Jiang, Serena, Efetov, Sergey, Efremov, Sergey, Katorkin, Sergey, Valladares, Sergio Chávez, Contreras, Sergio Marcos, Meriç, Serhat, Zenger, Serkan, Safi, Seyer, Leventoğlu, Sezai, Elsalhawy, Shady, Shaikh, Shafaque, Sheik, Shahila, Islam, Shahnoor, Shamim, Shahzad, Waqar, Shahzad Hussain, Ahmad, Shahzaib, Farid, Shahzaib, Seraj, Shaikh Sanjid, Sundarraju, Shalini, Karandikar, Sharad, Sambhwani, Sharan, Chopra, Sharat, Chowdhury, Sharfuddin, Laura, Sharon, Ahmed, Sharwany, Wason, Shaun, Tan, Shawn Jia Hwang, Fraser, Sheila, Williams, Shekinah, Ghozy, Sherief, Abdelmawgoud, Sherif, Shehata, Sherif, Sharma, Shilpa, Ahmed, Shima, Al-Touny, Shimaa A, Ramzanali, Shireen, Nah, Shireen Anne, Jansen, Shirley, Rajan, Shiv, Dindyal, Shiva, Amin, Shivang, Ahmad, Shoaib, Shoukrie, Shoukrie I M, Karar, Shoura, Patkar, Shraddha, Abdulsalam, Shuaib, Lin, Shuxun, Hegde, Siddhi, Fiorelli, Silvia, Quaresima, Silvia, Redondo, Silvia Villacé, Palmisano, Silvia, Ruggiero, Silvia, Balogun, Simon, Cais, Simon, Cole, Simon, Federer, Simon, Le Roux, Simon, Ippoliti, Simona, Meneghini, Simona, Viola, Simona, Manfredelli, Simone, Novello, Simone, Gananadha, Sivakumar, Mesli, Smain Nabil, Kale, Smruti, Tani, Sobhana Iftekhar, Malik, Sobia, Anastasiadou, Sofia, Boligo, Sofia, Esposito, Sofia, Valanci, Sofia, Xenaki, Sofia, Pejkova, Sofija, Bandyopadhyay, Soham, Trungu, Sokol, Basu, Somprakas, Alkhatib, Sondos, Pérez-Bertólez, Sonia, Flores, Sonia Lopez, Donoghue, Sophie, Lunca, Sorinel, Orsoo, Soyombo, Potamianos, Spyridon, Devarakonda, Sreekar, Suresh, Sreelakshmi, Croghan, Stefanie M, Turi, Stefano, Capella, Stefano, Lucchini, Stefano, Magnone, Stefano, Salizzoni, Stefano, Scabini, Stefano, Scaringi, Stefano, Cioffi, Stefano Piero Bernardo, Seyfried, Steffen, Degener, Stephan, Potten, Stephanie, Taha-Mehlitz, Stephanie, Ali, Stephen, Angamuthu, Stephen, Mcaleer, Stephen, Knight, Stephen Richard, White, Stuart, Mantziari, Styliani, Kykalos, Stylianos, Goh, Su Kah, Chowdhury, Subhadip Pal, Ibrahim, Sufyan, Elzwai, Suha, Bansal, Sujesh, Tripathy, Sujit, Amrayev, Sultan, Anwar, Sumadi Lukman, Banerjee, Sumit, Thakar, Sumit, Saeed, Summaya, Venkatappa, Sunil Kumar, Das, Sunit, Techapongsatorn, Suphakarn, Dube, Surya Kumar, Lee, Susan, González-Suárez, Susana, Henriques, Susana, Konjevoda, Suzana, Gisbertz, Suzanne, Bravo, Sybil Lizanne, Mannan, Syed, Bukhari, Syed Imran, Zafar, Syed Nabeel, Batista, Sylvia, Chin, Synn Lynn, Arif, Tahera, Lawal, Taiwo Akeem, Aktokmakyan, Talar Vartanoglu, Osborn, Tamara, Szakmany, Tamas, Sztipits, Tamás, Triantafyllou, Tania, Valadez, Tania Abigail Cueto, Singh, Tanveer, Khaliq, Tanwir, Patel, Tapan, Fadalla, Tarig, Jichi, Tarik, Sammour, Tarik, Al-Shaiji, Tariq, Naggs, Taryn, Barišić, Tatjana, Nikolouzakis, Taxiarchis, Bisgin, Tayfun, Perra, Teresa, Uprak, Tevfik Kıvılcım, Dagklis, Themistoklis, Liakakos, Theodore, Sidiropoulos, Theodoros, Adjeso, Theophilus Justus Kofi, Dölker, Theresa, Oung, Thida, Aherne, Thomas, Diehl, Thomas, Pinkney, Thomas, Raymond, Thomas, Rhomberg, Thomas, Schmitz-Rixen, Thomas, Madhuri, Thumuluru Kavitha, Lohmann, Tibor Karl, Yeoh, Tien, Zaimis, Tilemachos, Bright, Tim, Vilz, Tim O, Glowka, Tim R, Board, Timothy, Hardcastle, Timothy, Cohnert, Tina, Mahečić, Tina Tomić, William, Tinka George, Klatte, Tobias, Abbott, Tom, Watcyn-Jones, Tom, Mendes, Tome, Kulis, Tomislav, Sečan, Tomislav, Campagnaro, Tommaso, Frisoni, Tommaso, Simoncini, Tommaso, Violante, Tommaso, Safranovs, Toms Janis, Risteski, Toni, Pang, Tony, Akinyemi, Tosin, Yotsov, Tsanko, Laeke, Tsegazeab, Kochiyama, Tsukasa, Sholadoye, Tunde T, Alekberli, Tural, Ezomike, Uchechukwu, Giustizieri, Ugo, Grossi, Ugo, Köksoy, Ülkü Ceren, Bork, Ulrich, Kisser, Ulrich, Ronellenfitsch, Ulrich, Saeed, Umar, Bracale, Umberto, Jayarajah, Umesh, Rauf, Umme Habiba Abdul, Bumbasirevic, Uros, Ferrer, Ursula María Jariod, Ahmed, Usama, Bello, Usman Mohammed, Jogiat, Uzair, Sadia, Uzma, Galandarov, Vagif, Narayanan, Vairavan, Calu, Valentin, Bianchi, Valentina, Ciniero, Valeria, Tonini, Valeria, Silvestri, Vania, Vijay, Vardhini, Dewan, Varun, Lohsiriwat, Varut, Thuduvage, Vasanthika, Mousafeiris, Vasileios, Dragisic, Vedran, Sasireka, Veerasamy, Santric, Veljko, Kusuma, Venkata Ramana Murthy, Kolli, Venkata Satish, Alonso, Veronica, De Simone, Veronica, Picotti, Veronica, Martínez, Verónica Martín, Panduro-Correa, Vicky, Kakotkin, Victor, Angulo, Victor Pinto, Turrado-Rodriguez, Victor, Krishnamoorthy, Vijay, Ban, Vin Shen, Shah, Vinay, Maiola, Vincenza, Giordano, Vincenzo, La Vaccara, Vincenzo, Lizzi, Vincenzo, Papagni, Vincenzo, Schiavone, Vincenzo, Satchithanantham, Vinojan, Garcia-Virto, Virginia, Jimenez, Virginia, Kumar, Vishal, Shelat, Vishal, Bhat, Vivek, Sodhai, Vivek, Graziadei, Vivien, Kutuzov, Vladislav, Stoyanov, Vladislav, Oktseloglou, Vlasios, Flis, Vojko, Elhassan, Wael Atif Fadl, Yang, Wah, Soon, Wai Cheong, Tashkandi, Wail, Al-Khyatt, Waleed, Mabood, Waleed, Bijou, Walid, Wijenayake, Wasantha, D, Wasim, Krawczyk, Wiktor, Atkins, William, Bolton, William, White, William, Ceelen, Wim, Vagena, Xanthoula, Gozal, Yaacov, Baba, Yabasin Iddrisu, Subramani, Yamini, Jansen, Yanina, Mittal, Yash, Kara, Yasi̇n, Zwain, Yasir, Noureldin, Yasser, Alawneh, Yazan, Aydin, Yener, Lam, Yick Ho, Tang, Yita, Lim, Yizhe, Dean, Yomna, Tanas, Yousef, Su, Yu-Xiong, Fujimoto, Yuki, Altinel, Yuksel, Frolova, Yulia, Oshodi, Yusuf, Fadel, Zahir T, Zahid, Zahra, Elahi, Zain, Djama, Zakarya, Zaheen, Zakia, Jawad, Zaynab, Demetrashvili, Zaza, Gebremeskel, Zersenay, Gudisa, Zewdie, Alyami, Ziyad, Garoufalia, Zoe, Li, Zoe, Zimak, Zoran, Radin, Zorana, and Balogh, Zsolt J
- Abstract
Background: Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods: This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was coprioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low-middle-income countries. Results: In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of 'single-use' consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low-middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion: This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high- and low-middle-income countries.
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- 2023
168. Assessment and Monitoring of the Quality of Clinical Pathways in Patients with Depressive Disorders: Results from a Multiregional Italian Investigation on Mental Health Care Quality (the QUADIM Project)
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Monzio Compagnoni, M, Caggiu, G, Allevi, L, Barbato, A, Carle, F, D'Avanzo, B, Di Fiandra, T, Ferrara, L, Gaddini, A, Giordani, C, Sanza, M, Saponaro, A, Scondotto, S, Tozzi, V, Corrao, G, Lora, A, Monzio Compagnoni, Matteo, Caggiu, Giulia, Allevi, Liliana, Barbato, Angelo, Carle, Flavia, D'Avanzo, Barbara, Di Fiandra, Teresa, Ferrara, Lucia, Gaddini, Andrea, Giordani, Cristina, Sanza, Michele, Saponaro, Alessio, Scondotto, Salvatore, Tozzi, Valeria D, Corrao, Giovanni, Lora, Antonio, Monzio Compagnoni, M, Caggiu, G, Allevi, L, Barbato, A, Carle, F, D'Avanzo, B, Di Fiandra, T, Ferrara, L, Gaddini, A, Giordani, C, Sanza, M, Saponaro, A, Scondotto, S, Tozzi, V, Corrao, G, Lora, A, Monzio Compagnoni, Matteo, Caggiu, Giulia, Allevi, Liliana, Barbato, Angelo, Carle, Flavia, D'Avanzo, Barbara, Di Fiandra, Teresa, Ferrara, Lucia, Gaddini, Andrea, Giordani, Cristina, Sanza, Michele, Saponaro, Alessio, Scondotto, Salvatore, Tozzi, Valeria D, Corrao, Giovanni, and Lora, Antonio
- Abstract
Ensuring adequate quality of care to patients with severe mental disorders remains a challenge. The implementation of clinical indicators aimed at assessing the quality of health care pathways delivered is crucial for the improvement of mental health services (MHS). This study aims to evaluate the quality of care delivered to patients who are taken-into-care with depressive disorders by MHS. Thirty-four clinical indicators concerning accessibility, appropriateness, continuity, and safety were estimated using health care utilization databases from four Italian regions (Lombardy, Emilia-Romagna, Lazio, Sicily). A total of 78,924 prevalent patients treated for depressive disorders in 2015 were identified, of whom 15,234 were newly engaged by MHS. During the year of follow-up, access to psychotherapeutic interventions was low, while the intensity was adequate; 5.1% of prevalent patients received at least one hospitalization in a psychiatric ward (GHPW), and 3.3% in the cohort of newly engaged in services. Five-out-of-10 patients had contact with community services within 14 days after GHPW discharge, but less than half of patients were persistent to antidepressant drug therapy. Furthermore, prevalent patients showed an excess of mortality compared to the general population (SMR = 1.35; IC 95%: 1.26–1.44). In conclusion, the quality of health care is not delivered in accordance with evidence-based mental health standards. Evaluation of health interventions are fundamental strategies for improving the quality and equity of health care.
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- 2023
169. The Use of a CAD/CAM Thermoformed Splints System in Closed Reduction of Condylar Fractures
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Grippaudo, Cristina, Antonino Lo Giudice, †, Saponaro, Gianmarco, Todaro, Mattia, Moro, Alessandro, D'Addona, Antonio, Cristina Grippaudo (ORCID:0000-0002-9499-0556), Gianmarco Saponaro, Alessandro Moro (ORCID:0000-0002-6708-171X), Antonio D’Addona (ORCID:0000-0002-0876-7594), Grippaudo, Cristina, Antonino Lo Giudice, †, Saponaro, Gianmarco, Todaro, Mattia, Moro, Alessandro, D'Addona, Antonio, Cristina Grippaudo (ORCID:0000-0002-9499-0556), Gianmarco Saponaro, Alessandro Moro (ORCID:0000-0002-6708-171X), and Antonio D’Addona (ORCID:0000-0002-0876-7594)
- Abstract
(1) Background: Mandibular fractures are very common. Common indications of closed treatment for mandibular fractures are non-displaced or minimally displaced simple fractures in adult compliant patients with good dentition, the absence of occlusal disruption, and fractures in growing children. In closed treatment, the mandible is maintained in centric occlusion with a maxil lomandibular fixation (MMF) with orthodontic elastics. Many methods of MMF have been described, often using orthodontic appliances. In recent years, CAD-CAM technology has improved many procedures used in maxillofacial surgery and orthodontics. The device we present is manufactured following a digital workflow, and was designed specifically for MMF. (2) Materials: Two patients with mandibular fractures were treated with an MMF method whose procedure comprised scanning of the dental arches, followed by construction of thermoformed splints on which buttons for the elastics and retention holes are made. The splints were fixed on the dental arches with composite resin at the level of the holes, and were kept in place for the period of healing of the fracture, with the intermaxillary elastics hooked to the buttons. (3) Results: The application time of the splints was very quick. The splints remained stable for the necessary time, without causing particular discomfort to the patients. (4) Conclusions: From our experience, this technique has proved to be reliable an
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- 2023
170. Orbital Exenteration in Recurrence Cancer: 5 Years Experience
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Barbera, Giorgio, Todaro, M., Saponaro, Gianmarco, Gasparini, Giulio, Moro, Alessandro, Barbera G. (ORCID:0000-0003-1581-0500), Saponaro G., Gasparini G. (ORCID:0000-0001-5091-5178), Moro A. (ORCID:0000-0002-6708-171X), Barbera, Giorgio, Todaro, M., Saponaro, Gianmarco, Gasparini, Giulio, Moro, Alessandro, Barbera G. (ORCID:0000-0003-1581-0500), Saponaro G., Gasparini G. (ORCID:0000-0001-5091-5178), and Moro A. (ORCID:0000-0002-6708-171X)
- Abstract
Introduction: The purpose of this study was to assess the overall survival (OS) and disease-free survival (DFS) of patients who underwent orbital exenteration for periorbital, conjunctival, and primary intraorbital carcinomas. Additionally, we assessed the outcomes of anterior retrograde temporalis muscle flap restoration. Methods: For all patients who had orbital exenteration in the previous five years, a non-comparative retrospective assessment of their medical records, histology, and radiographic imaging was carried out. We investigated the relationships between the various qualitative factors using Cramer’s V Kaplan–Meier (KM) analysis. For each of the patient’s categorical factors that were of relevance, estimates of the survival distribution were displayed, and log-rank tests were used to determine whether the survival distributions were equal. Results: This study looks at 19 participants. The sample is made up of 13 men (68%) and 6 women (32%). The degree of relationship (Cramer’s V index) between lymph node metastases (N) and the existence of distant metastases (M) is high, at 64%, and is statistically significant because the p-value is 0.0034 < 0.005. Lymph node metastases had a statistically significant impact on overall survival (p = 0.04 < 0.05). Thirteen of the nineteen patients tested had no palsy (68%). There was no one presenting a CSF leak. Conclusion: Our findings show how crucial it is to identify any lymph node involvement that orbital neoplasms may have. In patients who have received many treatments, sentinel lymph node biopsy (SLNB) may be used to determine the stage and spread of the cancer. To determine whether additional tumor characteristics may be explored, more expertise in the SLNB field for patients with orbital cancer who have received many treatments may be helpful. To prevent additional scarring and to be comparable to previous techniques for facial nerve lesions, the anterior retrograde approach and the transorbital procedure
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- 2023
171. Evaluation of aerosol and cloud properties in three climate models using MODIS observations and its corresponding COSP simulator, as well as their application in aerosol–cloud interactions
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G. Saponaro, M. K. Sporre, D. Neubauer, H. Kokkola, P. Kolmonen, L. Sogacheva, A. Arola, G. de Leeuw, I. H. H. Karset, A. Laaksonen, and U. Lohmann
- Subjects
Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
The evaluation of modelling diagnostics with appropriate observations is an important task that establishes the capabilities and reliability of models. In this study we compare aerosol and cloud properties obtained from three different climate models (ECHAM-HAM, ECHAM-HAM-SALSA, and NorESM) with satellite observations using Moderate Resolution Imaging Spectroradiometer (MODIS) data. The simulator MODIS-COSP version 1.4 was implemented into the climate models to obtain MODIS-like cloud diagnostics, thus enabling model-to-model and model-to-satellite comparisons. Cloud droplet number concentrations (CDNCs) are derived identically from MODIS-COSP-simulated and MODIS-retrieved values of cloud optical depth and effective radius. For CDNC, the models capture the observed spatial distribution of higher values typically found near the coasts, downwind of the major continents, and lower values over the remote ocean and land areas. However, the COSP-simulated CDNC values are higher than those observed, whilst the direct model CDNC output is significantly lower than the MODIS-COSP diagnostics. NorESM produces large spatial biases for ice cloud properties and thick clouds over land. Despite having identical cloud modules, ECHAM-HAM and ECHAM-HAM-SALSA diverge in their representation of spatial and vertical distributions of clouds. From the spatial distributions of aerosol optical depth (AOD) and aerosol index (AI), we find that NorESM shows large biases for AOD over bright land surfaces, while discrepancies between ECHAM-HAM and ECHAM-HAM-SALSA can be observed mainly over oceans. Overall, the AIs from the different models are in good agreement globally, with higher negative biases in the Northern Hemisphere. We evaluate the aerosol–cloud interactions by computing the sensitivity parameter ACICDNC=dln(CDNC)/dln(AI) on a global scale. However, 1 year of data may be considered not enough to assess the similarity or dissimilarities of the models due to large temporal variability in cloud properties. This study shows how simulators facilitate the evaluation of cloud properties and expose model deficiencies, which are necessary steps to further improve the parameterisation in climate models.
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- 2020
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172. Performance in Behavioral Testing in an Animal Model of Post-Surgical Hypoparathyroidism
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Dettori, Cristina, primary, Ronca, Francesca, additional, Di Buono, Giulia, additional, Saba, Alessandro, additional, Di Lupo, Francesca, additional, Polini, Beatrice, additional, Ricardi, Caterina, additional, Frascarelli, Sabina, additional, Cetani, Filomena, additional, Marcocci, Claudio, additional, Zucchi, Riccardo, additional, Chiellini, Grazia, additional, Scalese, Marco, additional, and Saponaro, Federica, additional
- Published
- 2024
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173. Review of: "[Commentary] Implications of HPV infectivity in early diagnosis and treatment of advanced/recurrent malignancies"
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Saponaro, Concetta, primary
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- 2024
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174. Adipocyte Precursor-Derived NRG1 Promotes Resistance to FGFR Inhibition in Urothelial Carcinoma
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Hosni, Sana, primary, Kilian, Viola, additional, Klümper, Niklas, additional, Gabbia, Daniela, additional, Sieckmann, Katharina, additional, Corvino, Dillon, additional, Winkler, Anja, additional, Saponaro, Miriam, additional, Wörsdörfer, Karin, additional, Schmidt, Doris, additional, Hahn, Oliver, additional, Zanotto, Ilaria, additional, Bertlich, Marina, additional, Toma, Marieta, additional, Bald, Tobias, additional, Eckstein, Markus, additional, Hölzel, Michael, additional, Geyer, Matthias, additional, Ritter, Manuel, additional, Wachten, Dagmar, additional, De Martin, Sara, additional, and Alajati, Abdullah, additional
- Published
- 2024
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175. Multi Agent Architecture for Automated Health Coaching
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Vemuri, Ajith, Decker, Keith, Saponaro, Mathew, and Dominick, Gregory
- Published
- 2021
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176. Contrast-Enhanced Mammography: Technique, Indications, and Review of Current Literature
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Hannsun, Gemmy, Saponaro, Stephen, Sylvan, Paul, and Elmi, Azadeh
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- 2021
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177. Clinical Outcomes of CAD-CAM Subperiosteal Implants for the Rehabilitation of Atrophic Jaws.
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Gasparini, Giulio, Todaro, Mattia, De Angelis, Paolo, Boniello, Roberto, Saponaro, Gianmarco, Rella, Edoardo, Foresta, Enrico, Hreniuc, Horia Vasile, Azzuni, Francesca, Pashaj, Ermal, Moro, Alessandro, and D'Amato, Giuseppe
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DIGITAL technology ,ATROPHY ,JAWS ,TREATMENT effectiveness ,EDENTULOUS mouth - Abstract
Thanks to the use of new digital technologies and innovations in materials, there has been an increasing interest in subperiosteal implants. These implants are considered to be helpful for the rehabilitation of severe jaw atrophies, as they overcome some disadvantages of endosseous implantology. In the present clinical retrospective study, 18 patients were treated and the clinical outcomes of the treatment were recorded after 12 months of follow-up. [ABSTRACT FROM AUTHOR]
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- 2024
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178. A Structure‐Activity Relationship Study of Amino Acid Derivatives of Pterostilbene Analogues Toward Human Breast Cancer.
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Cordella, Fabiana, Dragone, Nicola, D'Orsi, Rosarita, Saponaro, Concetta, Vergara, Daniele, Lessi, Marco, and Angelici, Gaetano
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- 2024
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179. Structural determinants of ivabradine block of the open pore of HCN4.
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Saponaro, Andrea, Krumbach, Jan H., Chaves-Sanjuan, Antonio, Sharifzadeh, Atiyeh Sadat, Porro, Alessandro, Castelli, Roberta, Hamacher, Kay, Bolognesi, Martino, DiFrancesco, Dario, Clarke, Oliver B., Thiel, Gerhard, and Moroni, Anna
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- *
IVABRADINE , *HYPNOTISM , *MOLECULAR dynamics , *AMMONIUM ions , *HEART cells , *DRUG marketing - Abstract
HCN1-4 channels are the molecular determinants of the If/Ih current that crucially regulates cardiac and neuronal cell excitability. HCN dysfunctions lead to sinoatrial block (HCN4), epilepsy (HCN1), and chronic pain (HCN2), widespread medical conditions awaiting subtype-specific treatments. Here, we address the problem by solving the cryo-EM structure of HCN4 in complex with ivabradine, to date the only HCN-specific drug on the market. Our data show ivabradine bound inside the open pore at 3 Å resolution. The structure unambiguously proves that Y507 and I511 on S6 are the molecular determinants of ivabradine binding to the inner cavity, while F510, pointing outside the pore, indirectly contributes to the block by controlling Y507. Cysteine 479, unique to the HCN selectivity filter (SF), accelerates the kinetics of block. Molecular dynamics simulations further reveal that ivabradine blocks the permeating ion inside the SF by electrostatic repulsion, a mechanism previously proposed for quaternary ammonium ions. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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180. Bone Regeneration and Polyetheretherketone Implants in Maxillo-Facial Surgery and Neurosurgery: A Multidisciplinary Study.
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Todaro, Mattia, Saponaro, Gianmarco, Perquoti, Federico, Gasparini, Giulio, Signorelli, Francesco, Tartaglione, Tommaso, and Moro, Alessandro
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PLASTIC surgery ,ARTIFICIAL implants ,BONE regeneration ,BONE resorption ,MAXILLOFACIAL surgery - Abstract
Simple Summary: In this study, we explored the use of polyetheretherketone (PEEK) implants in maxillofacial and neurosurgery, focusing on bone regeneration and implant outcomes. We investigated the effectiveness of PEEK implants in reconstructing craniofacial defects caused by trauma, tumor removal, or congenital malformations. Through analysis of postoperative CT scans, we observed significant bone regrowth around PEEK implants in most cases, indicating successful integration with surrounding tissue. However, we also identified instances of bone resorption in some patients, highlighting potential complications that need further attention. Our findings underscore the importance of optimizing the interface between implants and bone to ensure long-term stability and patient outcomes. Overall, this research contributes valuable insights into the use of PEEK implants in surgical procedures, potentially improving treatments and enhancing patient quality of life. Polyetheretherketone (PEEK) in the last few years has emerged as an exceedingly promising material for craniofacial defects due to its biocompatibility and mechanical properties. However, its utilization remains controversial due to its inertness and low osteoinductivity. This study aimed to investigate the postoperative outcomes of patients undergoing maxillo-facial and neurosurgical procedures with PEEK implants. The focus is on evaluating bone regrowth on the surface and edges of the implant, periosteal reactions, and implant positioning. A retrospective analysis of 12 maxillo-facial surgery patients and 10 neurosurgery patients who received PEEK implants was conducted. CT scans performed at least one year post operation were examined for bone regrowth, periosteal reactions, and implant positioning. In maxillo-facial cases, the analysis included mandibular angle and fronto-orbital reconstruction, while neurosurgical cases involved cranioplasty. In maxillofacial surgery, 11 out of 12 patients showed radiological evidence of bone regrowth around PEEK implants, with favorable outcomes observed in craniofacial reconstruction. In neurosurgery, 9 out of 10 patients exhibited minimal or none bone regrowth, while one case demonstrated notable bone regeneration beneath the PEEK implant interface. The study highlights the importance of implant design and patient-specific factors in achieving successful outcomes, providing valuable insights for future implant-based procedures. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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181. Post-hemiglossectomy Reconstruction: Pilot Study on the Overall Functional Evaluation.
- Author
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Barbera, Giorgio, Todaro, Mattia, Saponaro, Gianmarco, Rizzo, Tommaso, Gasparini, Giulio, and Moro, Alessandro
- Abstract
Introduction: The tongue plays a crucial role in speech, swallow and sleep. It is the most common site of primary intraoral cancer. A fasciocutaneous free flap is the first reconstructive option after surgery. Materials and Methods: The aim of this study was to investigate the functional outcomes in patients treated with hemiglossectomy. We evaluated the objective tests and subjective assessments of swallowing, speech and sleep at 30 days after the surgery (T0) and at least 6 months after the end of the treatment (T1). We have implemented a battery of validated tools that comprehensively evaluate functional outcomes after resection of oral cancer, including speech, swallowing and head-and-neck-specific quality of life: MD Anderson Dysphagia Inventory (MDADI), Performance Status Scale-Head and Neck (PSS-HN) and Lazarus Tongue Range of Motion (ROM) Scale. Patients underwent objective tests such as videonasal endoscopic evaluation and magnetic resonance imaging. All patients were subjectively assessed with the Epworth Sleepiness Scale and underwent nocturnal polygraphy. Results: We treated six patients with advanced squamous cell carcinoma of the tongue; three received radial forearm flap and three received anterolateral thigh flap. Our study found that ROM, flap volume and defect volume are the most important characteristics for better MDADI, PSS-HN, Epworth score and respiratory disturbance index (RDI) on polygraphy. Discussion: Reconstruction of tongue cancer defects is challenging as the surgeon must consider adequate control of the tumour while also optimising residual functional capacity. The volume of the flap and ROM would seem to be the most important characteristics for improving the functional outcome. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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182. The Incidence of Obstructive Sleep Apnea in Patients with Dento-Skeletal Malformation.
- Author
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D'Amato, Giuseppe, Todaro, Mattia, Saponaro, Gianmarco, De Angelis, Paolo, Moro, Alessandro, Azzuni, Francesca, Capasso, Benedetta, and Gasparini, Giulio
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SLEEP apnea syndromes ,ORTHOGNATHIC surgery ,STANDARD deviations ,STATISTICAL correlation ,MAXILLA ,MANDIBLE - Abstract
Purpose: The aim of this article is to analyze the incidence of undiagnosed obstructive sleep apnea (OSA) in patients affected by dento-skeletal malformation. We also evaluated the patterns most affected by the condition and calculated the post surgical changes. Methods: We conducted a retrospective cohort study on 71 patients including 35 men and 36 women. The patients studied were affected by dento-skeletal class II and III malformations and underwent bimaxillary orthognathic surgery in all cases. Patients were evaluated with polysomnography before surgery and at least 6 months after surgery to assess any improvement or worsening of the apnea hypopnea index (AHI) index. Regarding AHI evaluation criteria, an AHI > 5 was considered indicative of OSA, 4 < AHI < 5 was considered borderline and AHI < 4 was considered indicative of non-OSA. We also considered demographic variables like age at the time of intervention and gender, and anatomical variables like the pattern of the dento-skeletal deformity and the presence or absence of maxillary hypoplasia. Qualitative variables were described as absolute and relative frequencies, while quantitative variables were summarized as mean and standard deviation. To quantitatively express the relationship between two variables, the correlation coefficient was calculated. The covariance array was used to evaluate multiple correlations. Results: Our study shows that there is a significant percentage (33%) of patients who undergo orthognathic surgery with an AHI > 5 and also a percentage of patients (11%) who can be considered to be "borderline." It emerges that the pattern most at risk is the one characterized by retruded maxilla and patients with dento-skeletal class II. Considering the post surgical period, the statistical analysis shows that after surgery, only 8% of malformed patients present an AHI > 5, compared to the 20.5% described in the Italian population. Conclusions: In patients who receive orthognathic surgery, the presence of obstructive sleep apnea is significantly higher than in the general population. When planning the surgical correction of a dento-skeletal malformation, the surgeon must aim not only for the esthetics results, but also for proper stomatognathic and respiratory function; this cannot be achieved without taking polysomnography information into account. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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- View/download PDF
183. Anisotropic Network Analysis of Open/Closed HCN4 Channel Advocates Asymmetric Subunit Cooperativity in cAMP Modulation of Gating.
- Author
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Kunzmann, Patrick, Krumbach, Jan H., Saponaro, Andrea, Moroni, Anna, Thiel, Gerhard, and Hamacher, Kay
- Published
- 2024
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184. Trunk muscles' characteristics in adolescent gymnasts with low back pain: a pilot study on the effects of a physiotherapy intervention including a postural reeducation program.
- Author
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Deodato, Manuela, Saponaro, Serena, Šimunič, Boštjan, Martini, Miriam, Murena, Luigi, and Buoite Stella, Alex
- Subjects
- *
GYMNASTICS , *PHYSICAL therapy , *CROSS-sectional method , *SKELETAL muscle , *SPORTS , *RECEIVER operating characteristic curves , *PILOT projects , *SCIENTIFIC observation , *FUNCTIONAL assessment , *BODY composition , *LYING down position , *FISHER exact test , *DESCRIPTIVE statistics , *MANN Whitney U Test , *LONGITUDINAL method , *MUSCLE strength , *ANALYSIS of variance , *TORSO , *EXERCISE tests , *COMPARATIVE studies , *DATA analysis software , *LUMBAR pain , *POSTURAL balance , *MUSCLE contraction , *NONPARAMETRIC statistics , *ADOLESCENCE - Abstract
Trunk muscles' function and characteristics are of great importance for both static and dynamic tasks in different sports, and abnormalities of trunk flexors and extensors might be associated with low back pain (LBP). The aim of this study was to provide a comprehensive evaluation of the functional, morphological and contractile properties in trunk flexors and extensors of young gymnasts with and without LBP. Young gymnasts (14/25 females, 14–18 y) were screened for the presence of chronic LBP. Abdominal and lumbar muscles were tested for function (McGill's endurance tests), thickness (ultrasound), and contractile responses (tensiomyography). An 8-sessions physiotherapy intervention including postural reeducation was performed by a subsample of 10 subjects with LBP. LBP was found to be associated to higher flexors-to-extensors endurance ratio (OR 11.250, 95% CI: 1.647–76.849, p = 0.014), reduced mean lumbar multifidus thickness (OR 16.500, 95% CI: 2.246–121.228, p = 0.006), and reduced mean erector spinae radial displacement (OR 16.500, 95% CI: 2.246–121.228, p = 0.006). The physiotherapy intervention was found to reduce LBP symptoms and it was associated with a significant improvement in the flexors-to-extensors ratio (p < 0.001). This study provides preliminary evidence of functional, morphological, and contractile trunk muscles' alterations associated with chronic LBP in young gymnasts, and presents the effects of a postural reeducation program on symptoms and muscles' functional properties. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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185. Accuracy of ChatGPT‐Generated Information on Head and Neck and Oromaxillofacial Surgery: A Multicenter Collaborative Analysis.
- Author
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Vaira, Luigi Angelo, Lechien, Jerome R., Abbate, Vincenzo, Allevi, Fabiana, Audino, Giovanni, Beltramini, Giada Anna, Bergonzani, Michela, Bolzoni, Alessandro, Committeri, Umberto, Crimi, Salvatore, Gabriele, Guido, Lonardi, Fabio, Maglitto, Fabio, Petrocelli, Marzia, Pucci, Resi, Saponaro, Gianmarco, Tel, Alessandro, Vellone, Valentino, Chiesa‐Estomba, Carlos Miguel, and Boscolo‐Rizzo, Paolo
- Abstract
Objective: To investigate the accuracy of Chat‐Based Generative Pre‐trained Transformer (ChatGPT) in answering questions and solving clinical scenarios of head and neck surgery. Study Design: Observational and valuative study. Setting: Eighteen surgeons from 14 Italian head and neck surgery units. Methods: A total of 144 clinical questions encompassing different subspecialities of head and neck surgery and 15 comprehensive clinical scenarios were developed. Questions and scenarios were inputted into ChatGPT4, and the resulting answers were evaluated by the researchers using accuracy (range 1‐6), completeness (range 1‐3), and references' quality Likert scales. Results: The overall median score of open‐ended questions was 6 (interquartile range[IQR]: 5‐6) for accuracy and 3 (IQR: 2‐3) for completeness. Overall, the reviewers rated the answer as entirely or nearly entirely correct in 87.2% of cases and as comprehensive and covering all aspects of the question in 73% of cases. The artificial intelligence (AI) model achieved a correct response in 84.7% of the closed‐ended questions (11 wrong answers). As for the clinical scenarios, ChatGPT provided a fully or nearly fully correct diagnosis in 81.7% of cases. The proposed diagnostic or therapeutic procedure was judged to be complete in 56.7% of cases. The overall quality of the bibliographic references was poor, and sources were nonexistent in 46.4% of the cases. Conclusion: The results generally demonstrate a good level of accuracy in the AI's answers. The AI's ability to resolve complex clinical scenarios is promising, but it still falls short of being considered a reliable support for the decision‐making process of specialists in head‐neck surgery. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
186. Experimental evaluation of artificial defects using SMArt thermography
- Author
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Marta, De Giorgi, Riccardo, Nobile, and Andrea, Saponaro
- Published
- 2019
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187. Real-time monitoring of damage evolution by nonlinear ultrasonic technique
- Author
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Dattoma, Vito, Nobile, Riccardo, Panella, Francesco Willem, and Saponaro, Andrea
- Published
- 2019
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188. Experimental behavior of a CFRP damaged panel subjected to compressive stress
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Castriota, Alessandro, Dattoma, Vito, Gambino, Benedetto, Nobile, Riccardo, and Saponaro, Andrea
- Published
- 2019
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189. Damage investigation of Aeronautical CFRP laminates under Bearing Tests
- Author
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Dattoma, V., Nobile, R., Panella, F.W., Pirinu, A., and Saponaro, A.
- Published
- 2019
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190. “Visible” and “Invisible” Victims in the Criminal Justice System
- Author
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Saponaro, Armando, primary
- Published
- 2021
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- View/download PDF
191. Detection of ligand binding to purified HCN channels using fluorescence-based size exclusion chromatography
- Author
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Saponaro, Andrea, primary, Sharifzadeh, Atiyeh Sadat, additional, and Moroni, Anna, additional
- Published
- 2021
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- View/download PDF
192. Dimensionality Features Extraction Based-on Multi-scale Neighborhood of Multi-samples UAV Point Clouds
- Author
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Saponaro, Mirko, primary
- Published
- 2021
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193. In Situ Fatigue Damage Monitoring by Means of Nonlinear Ultrasonic Measurements
- Author
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Saponaro, Andrea, primary and Nobile, Riccardo, additional
- Published
- 2023
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194. Can NIRS be a surrogate indicator of elective shunt in carotid endarterectomy? A single-center observational retrospective study says no
- Author
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Plata-Bello, Julio, primary, Pérez-Lorensu, Pedro Javier, additional, Saponaro-González, Ángel, additional, Darias-Delbey, Beneharo, additional, Fariña-Jerónimo, Helga, additional, Domínguez-Lorenzo, José María, additional, Ucelay-Gómez, Roberto, additional, González-Tabares, Enrique Francisco, additional, Ibrahim-Achi, Zena, additional, Guerrero-Ramírez, Christian Salvador, additional, Padrón-Encalada, Carol Elizabeth, additional, and Pérez-Burkhardt, José Luis, additional
- Published
- 2023
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195. AB012. The potential role of innate lymphoid cells in thymic epithelial tumors
- Author
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Saponaro, Mariarosaria, primary, Pietroluongo, Erica, additional, Ercolano, Giuseppe, additional, De Placido, Pietro, additional, Morra, Rocco, additional, Peddio, Annarita, additional, Grieco, Angela, additional, Neola, Giuseppe, additional, Piscopo, Anna, additional, Del Deo, Vitantonio, additional, Ottaviano, Margaret, additional, Tortora, Marianna, additional, La Civita, Evelina, additional, Carbone, Gianluigi, additional, Terracciano, Daniela, additional, De Placido, Sabino, additional, Palmieri, Giovannella, additional, and Giuliano, Mario, additional
- Published
- 2023
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196. AB003. Unexpected long-lasting control of thymic carcinoma treated with anti-PD1 and oral etoposide: a real-life experience of combination therapy
- Author
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Ottaviano, Margaret, primary, Parola, Sara, additional, Neola, Giuseppe, additional, Grieco, Angela, additional, Pietroluongo, Erica, additional, De Placido, Pietro, additional, Tortora, Marianna, additional, Saponaro, Mariarosaria, additional, Morra, Rocco, additional, Piscopo, Anna, additional, Marretta, Antonella Lucia, additional, Buonaiuto, Roberto, additional, Caltavituro, Aldo, additional, Zarzana, Maria Antonietta, additional, Di Rienzo, Rossana, additional, Tafuro, Margherita, additional, Del Deo, Vitantonio, additional, De Placido, Sabino, additional, Giuliano, Mario, additional, and Palmieri, Giovannella, additional
- Published
- 2023
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- View/download PDF
197. AB013. Occurrence and severity of COVID-19 in patients affected by thymic epithelial tumors with or without Good’s syndrome: a single centre experience
- Author
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Pietroluongo, Erica, primary, De Placido, Pietro, additional, Tortora, Marianna, additional, Saponaro, Mariarosaria, additional, Morra, Rocco, additional, Neola, Giuseppe, additional, Grieco, Angela, additional, Piscopo, Anna, additional, Peddio, Annarita, additional, Marretta, Antonella Lucia, additional, Buonaiuto, Roberto, additional, Caltavituro, Aldo, additional, Mirello, Giacomo, additional, Di Rienzo, Rossana, additional, Tafuro, Margherita, additional, Gelzo, Monica, additional, Cernera, Gustavo, additional, Ottaviano, Margaret, additional, Castaldo, Giuseppe, additional, Formisano, Pietro, additional, De Placido, Sabino, additional, Palmieri, Giovannella, additional, and Giuliano, Mario, additional
- Published
- 2023
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198. Gorha-Stout Disease of the upper jaw: case report and review of the literature
- Author
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ALESSANDRO Moro, UMBERTO Garagiola, GIANMARCO Saponaro, GIULIO Gasparini, ROBERTO Boniello, MARCO Falchi, GIOVANNI Barbini, ENRICO Cristallini, GIUSEPPE D'Amato, BENCE Galambos, and SANDRO Pelo
- Subjects
vanishing bone disease ,bone resorbtions ,endothelial proliferation ,zoledronic acid therapy ,Dentistry ,RK1-715 - Abstract
Gorham’s disease, or vanishing bone disease, is a rare condition of unknown etiology characterized by bone absorption. The disease can affect any part of the skeleton, however the pelvis, humerus, axial skeleton and the mandible are more frequently involved. The mechanism of bone resorption is unclear, but localized endothelial proliferation of lymphatic vessels is shown in osteolytic lesions The diagnosis is based on clinical, radiological and histological features after excluding other infectious, inflammatory, endocrine and neoplastic etiological factors. Medical treatment for Gorham’s disease includes anti-osteoclastic medications (bisphosphonates), and alpha-2b interferon, radiation therapy induced sclerosis of the proliferating vascular tissue within the bone. Also surgical treatment options are available including resection of the lesion and reconstruction with bone grafts and/or prostheses. We present a case of Gorham’s disease of the right maxilla in a 67 years old female affecting the alveolar process, zygoma and the floor of the orbit. The initial clinical manifestation at the onset of the disease was the mobility of the upper right molars, mimicking periodontal disease followed by the worsening of a preexisting diplopia with undefined origin. The patient received a medical treatment with zoledronic acid, vitamin D and calcium carbonate for 12 months which proved to be effective in controlling the progression of the disease.
- Published
- 2019
- Full Text
- View/download PDF
199. NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM
- Author
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Nicola Altini, Antonio Brunetti, Emilia Puro, Maria Giovanna Taccogna, Concetta Saponaro, Francesco Alfredo Zito, Simona De Summa, and Vitoantonio Bevilacqua
- Subjects
nuclei segmentation ,histopathology ,deep learning ,Grad-CAM ,semantic segmentation ,instance segmentation ,Technology ,Biology (General) ,QH301-705.5 - Abstract
Nuclei identification is a fundamental task in many areas of biomedical image analysis related to computational pathology applications. Nowadays, deep learning is the primary approach by which to segment the nuclei, but accuracy is closely linked to the amount of histological ground truth data for training. In addition, it is known that most of the hematoxylin and eosin (H&E)-stained microscopy nuclei images contain complex and irregular visual characteristics. Moreover, conventional semantic segmentation architectures grounded on convolutional neural networks (CNNs) are unable to recognize distinct overlapping and clustered nuclei. To overcome these problems, we present an innovative method based on gradient-weighted class activation mapping (Grad-CAM) saliency maps for image segmentation. The proposed solution is comprised of two steps. The first is the semantic segmentation obtained by the use of a CNN; then, the detection step is based on the calculation of local maxima of the Grad-CAM analysis evaluated on the nucleus class, allowing us to determine the positions of the nuclei centroids. This approach, which we denote as NDG-CAM, has performance in line with state-of-the-art methods, especially in isolating the different nuclei instances, and can be generalized for different organs and tissues. Experimental results demonstrated a precision of 0.833, recall of 0.815 and a Dice coefficient of 0.824 on the publicly available validation set. When used in combined mode with instance segmentation architectures such as Mask R-CNN, the method manages to surpass state-of-the-art approaches, with precision of 0.838, recall of 0.934 and a Dice coefficient of 0.884. Furthermore, performance on the external, locally collected validation set, with a Dice coefficient of 0.914 for the combined model, shows the generalization capability of the implemented pipeline, which has the ability to detect nuclei not only related to tumor or normal epithelium but also to other cytotypes.
- Published
- 2022
- Full Text
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200. Internuclear Ophthalmoplegia as an Isolated Symptom of Brainstem Wake-up Stroke Responsive to Intravenous Thrombolysis: Evidence from MRI
- Author
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Gaetano Barbagallo, Marcella Caggiula, Annalisa Rizzo, Vita Direnzo, Angela Lupo, Antonio Fasano, Cosimo Angelo Greco, Alfredo Pauciulo, Antonio Saponaro, Adriana Paladini, and Leonardo Barbarini
- Subjects
Radiology, Nuclear Medicine and imaging - Abstract
Background: Internuclear ophthalmoplegia (INO) is a disorder of eye movements caused by a lesion involving the medial longitudinal fasciculus (MLF) within the brainstem, and it is characterized by adduction impairment combined with contralateral dissociated abduction nystagmus. The frequency of acute ischemic stroke (AIS) presenting with INO as a predominant symptom is very low, and many patients suffering from this brainstem AIS are precluded from intravenous thrombolysis (IVT). Objective: To provide for the first time a magnetic resonance imaging (MRI) evidence of response to the IVT in brainstem wake-up stroke presenting with INO as an isolated symptom. Methods: Here, we described a rare case of pons AIS presenting with INO as a unique symptom of awakening. In order to differentiate an ischemic stroke from other stroke mimics, and to determine whether the patient was within the therapeutic window for IVT (wake-up stroke), brain MRI including DWI and FLAIR sequences was acquired. Results: A left paramedian pontine DWI/FLAIR mismatch was detected and the patient was considered eligible for IVT. After IVT, the patient made a full recovery with complete resolution of INO. Follow-up MRI at 1 month demonstrates the absence of ischemic lesions. Conclusion: Our case provides neuroradiological evidence of IVT efficacy in brainstem stroke, and it should prompt clinicians to rapidly perform MRI in wake-up onset INO and to just as quickly administer IVT, since INO is a functionally disabling deficit. Finally, this case demonstrates the value of MRI in diagnostic, prognostic, and therapeutic workup of posterior circulation wake-up stroke.
- Published
- 2023
- Full Text
- View/download PDF
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