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264 results on '"P. Galbusera"'

60. High-Demand Spinal Deformity With Multi-Rod Constructs and Porous Fusion/Fixation Implants: A Finite Element Study

Author

Panico, Matteo, Chande, Ruchi D., Lindsey, Derek P., Maria Tobia Villa, Tomaso, Yerby, Scott A., Brayda-Bruno, Marco, Bassani, Tito, Polly, David W., and Galbusera, Fabio

Abstract

Study Design Basic science (finite element analysis).Objectives Pedicle subtraction osteotomy (PSO) at L5 is an effective treatment for sagittal imbalance, especially in select cases of patients showing kyphosis with the apex at L4-L5 but has been scarcely investigated. The aim of this study was to simulate various “high-demand” instrumentation approaches, including varying numbers of rods and sacropelvic implants, for the stabilization of a PSO at L5.Methods A finite element model of T10-pelvis was modified to simulate posterior fixation with pedicle screws and rods from T10 to S1, alone or in combination with an L5 PSO. Five additional configurations were then created by employing rods and novel porous fusion/fixation implants across the sacroiliac joints, in varying numbers. All models were loaded using pure moments of 7.5 Nm in flexion-extension, lateral bending, and axial rotation.Results The osteotomy resulted in a general increase in motion and stresses in posterior rods and S1 pedicle screws. When the number of rods was varied, three- and four-rod configurations were effective in limiting the maximal rod stresses; values approached those of posterior fixation with no osteotomy. Maximum stresses in the accessory rods were similar to or less than those observed in the primary rods. Multiple sacropelvic implants were effective in reducing range of motion, particularly of the SIJ.Conclusions Multi-rod constructs and sacropelvic fixation generally reduced maximal implant stresses and motion in comparison with standard posterior fixation, suggesting a reduced risk of rod breakage and increased joint stability, respectively, when a high-demand construct is utilized for the correction of sagittal imbalance.

Published
2024
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75. Serotonin depletion causes valproate-responsive manic-like condition and increased hippocampal neuroplasticity that are reversed by stress

Author

Maddaloni, Giacomo, Migliarini, Sara, Napolitano, Francesco, Giorgi, Andrea, Nazzi, Serena, Biasci, Daniele, De Felice, Alessia, Gritti, Marta, Cavaccini, Anna, Galbusera, Alberto, Franceschi, Sara, Lessi, Francesca, Ferla, Marco La, Aretini, Paolo, Mazzanti, Chiara Maria, Tonini, Raffaella, Gozzi, Alessandro, Usiello, Alessandro, and Pasqualetti, Massimo

Published
2018
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76. Low-temperature tensile properties of meta-stable β titanium Ti-5Al-5V-5Mo-3Cr alloy fabricated by pulsed laser powder bed fusion

Author

Benni, Akshay Ashok, Galbusera, Francesco, Demir, Ali Gökhan, and Previtali, Barbara

Abstract

Ti-5Al-5V-5Mo-3Cr (Ti-5553) alloy is increasingly used in structural airplane components, such as landing gear and fuselage, thanks to its high strength, good ductility, and low density. These components are consistently subjected to sub-zero temperatures during the flight. In this study, pulsed laser powder bed fusion (L-PBF) parameters were firstly optimized to fabricate highly dense (>99%) parts, and their effect on microstructure and microhardness was analyzed. Finally, tensile properties were evaluated under sub-zero temperature conditions and compared to the standard room ones to validate the feasibility of using Ti5553 under low-temperature environments.

Published
2024
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77. In-source dynamic beam shaping of Al alloys processed via LPBF: effect of novel beam profiles on surface roughness and microstructure

Author

Galbusera, Francesco, Caprio, Leonardo, Previtali, Barbara, and Demir, Ali Gökhan

Abstract

Next-generation fiber laser sources can dynamically combine Gaussian beams with ring distributions within the source. The irradiance manipulation may add flexibility to the Laser Powder Bed Fusion process, for instance to control microstructure or surface roughness. However, their use is limited by a lack of studies revealing how beam shaping can be exploited in a reproducible manner. Accordingly, this work shows the use of novel beam profiles provided by a multi-core fiber laser source in the LPBF of AlSi7Mg0.6. Irradiance profiles were characterized, then large experiments were conducted to investigate their effect on surface roughness and microstructure of produced parts.

Published
2024
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78. The effect of in-source spatial beam shaping on the laser welding of e-mobility metals and alloys

Author

Galbusera, Francesco, Borzoni, Giulio, D’Arcangelo, Simone, Caprio, Leonardo, Previtali, Barbara, and Demir, Ali Gökhan

Abstract

Electromobility applications require several welded connections using demanding materials often in dissimilar combinations. Copper, aluminium, or steel alloys are laser welded for energy storage and traction related components. On the one hand, high power fiber laser sources provide in-source beam shaping solutions able to modify the irradiance profile towards ring-shaped beams. On the other hand, research focused on the effect of the beam shapes on the melting mechanisms and process quality is still in progress. This work studies the effect of different beam profiles on AISI301LN, AA6082 and pure Cu with a 5 kW fiber laser. Linear trends of power over penetration depth as a function of speed confirms the validity of employing the lumped heat capacity model for ring-shaped beams. Moreover, the specific melting fluence is observed to exhibit an exponential decaying trend with the proportion of power allocated in the fiber core, irrespective of tested material.

Published
2024
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92. Automatic Diagnosis of Spinal Disorders on Radiographic Images: Leveraging Existing Unstructured Datasets With Natural Language Processing

Author

Galbusera, Fabio, Cina, Andrea, Bassani, Tito, Panico, Matteo, and Sconfienza, Luca Maria

Abstract

Study Design: Retrospective study.Objectives: Huge amounts of images and medical reports are being generated in radiology departments. While these datasets can potentially be employed to train artificial intelligence tools to detect findings on radiological images, the unstructured nature of the reports limits the accessibility of information. In this study, we tested if natural language processing (NLP) can be useful to generate training data for deep learning models analyzing planar radiographs of the lumbar spine.Methods: NLP classifiers based on the Bidirectional Encoder Representations from Transformers (BERT) model able to extract structured information from radiological reports were developed and used to generate annotations for a large set of radiographic images of the lumbar spine (N = 10 287). Deep learning (ResNet-18) models aimed at detecting radiological findings directly from the images were then trained and tested on a set of 204 human-annotated images.Results: The NLP models had accuracies between 0.88 and 0.98 and specificities between 0.84 and 0.99; 7 out of 12 radiological findings had sensitivity >0.90. The ResNet-18 models showed performances dependent on the specific radiological findings with sensitivities and specificities between 0.53 and 0.93.Conclusions: NLP generates valuable data to train deep learning models able to detect radiological findings in spine images. Despite the noisy nature of reports and NLP predictions, this approach effectively mitigates the difficulties associated with the manual annotation of large quantities of data and opens the way to the era of big datafor artificial intelligence in musculoskeletal radiology.

Published
2023
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93. Bringing genetic diversity to the forefront of conservation policy and management

Author

Hoban, Sean M., Hauffe, Heidi C., Pérez-Espona, Sílvia, Arntzen, Jan W., Bertorelle, Giorgio, Bryja, Josef, Frith, Katie, Gaggiotti, Oscar E., Galbusera, Peter, Godoy, José A., Hoelzel, A. Rus, Nichols, Richard A., Primmer, Craig R., Russo, Isa-Rita, Segelbacher, Gernot, Siegismund, Hans R., Sihvonen, Marjatta, Vernesi, Cristiano, Vilà, Carles, and Bruford, Michael W.

Published
2013
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98. Posters

Author

Cerny, V., Zivny, P., Dostal, P., Parizkova, R., Zabka, L., Hodgson, R. E., Bosenberg, A. T., Hadley, G. P., Spapen, H., Diltoer, M., Suys, E., Borremans, M., Ramet, J., Huyghens, L., Afessa, B., Murphy, R., Hogans, L., Meyers, B., Mentec, H., Gruchet, P., Squara, P., De Jonghe, B., Peillon, I., Sollet, J. P., Bleichner, G., Zivkovic, Z., Mihailovic, S., Jakovljevic, M., Ryan, D. W., Weldon, O. G. W., Gower, S. N., Whiteley, S. M., Bodenham, A., De Robertis, E., Liu, J. M., Svantesson, C., Oahm, P. L., Thöme, J., Blomquist, S., Jonson, B., Pelagatti, C., Barattini, M., Poli, C., Ricupero, L., Olmastroni, M., Pieraccioni, P., Padelletti, M. B., Romagnoli, P., Masi, A., Rossi, G. F., Kurz-Müller, K., Tryba, M., Pelosi, P., Chiumello, D., Croci, M., Gattinoni, L., Kofings, G., Kyriakidis, M., Betrosian, A., Georgiou, L., Toufouzas, P., Lim, C. M., Choi, J. E., Kon, Y., Lee, S. D., Kim, W. S., Park, P. H., Kim, D. S., Kim, W. D., Koh, Y., Jung, B. H., Kim, W. S., Mazzi, S., Petrucci, N., Agostini, F., Vischi, F., Mitic-Milikic, M., Vukcevic, M., Obradovic, Lj. Nagomi, Sekulic, S., Peláez, J., Asensio, M. J., Jiménez, M., Sisón, M., Yus, S., Cerdeño, V., Nishizuka, K., Tashiro, K., Matsumoto, Y., Kobayashi, T., Suzuki, Y., De Blasio, E., De Sio, A., Golia, D., Papa, A., Giurbino, M., Paulone, G., Evangelista, V., Imhoff, M., Greive, H., Lehner, J. H., Löhlein, D., Kelly, K. P., Busch, T., Loge, K., Gerlach, H., Falke, K. J., Rossaint, R., Herreo, S., Suarez, T., Mosácula, J., Lacort, M., Lapuerta, J. A., Guerra, J., Benini, A., Borelli, M., Lampati, L., Acciaro, M., Pesenti, A., Verweij, M., Marcolin, R., Bombino, M., Patroniti, N., Sordi, A., Tsareva, M., Petkoy, I., Kishen, R., Bowles, B. J. M., Thomas, A. N., Geraghty, I. F., Goodall, J., Grasso, S., Giuliani, R., Puntillo, F., Mascia, L., Fiore, T., Brienza, N., Ranieri, V. M., Pavlou, E., Zevla, E., Stavropoulou, M., Papazacharias, Ch., Loannidou, E., González F. X., Rull R., López-Boado M. A., Fábregas N., Alcón A., Moreno L. A., Zavala E., Hering, Ch., Ferrer, M., Masclans, J. R., Castellá, M., Anglés, R., Rodriguez-Roisin, R., Roca, J., Milic-Emili, J., Ferrer M., Polese G., Masclans J. R., Planas M., Milic-Emili J., Roca J., Rossi A., Rodriguez-Roisin R., Masclans, J. R., Planas, M., Bermejo, B., Valls, M., Picó, M., Porta, I., de Latorre, F. J., Rodríguez-Roisin, R., Anglès, R., Ferrer, R., Peracaula, R., Bellamy, M. C., Smith, S. N., Dahm, P. L., Thörne, J., Rossetti, H., Amaral, J. L. G., Amarante, G. A. J., Juliano, Y., Novo, N. F., Resta, O., Guido, P., Picca, V., Foschino, M. P., Lecce, G. A., Affuso, F., Resta, O., Foschino, M. P., Scarpelli, F., Sergi, M., Rizzi, M., Kirby, F., Healy, V., Mannion, D., Sweeney, E., Gil, A., SamPedro, J. M., Hernández, J., Carrizosa, J., Herrero, F., Martin, A., Sandaz, D., Rialp, G., López-Velarde, G., Subirana, M., Bak, E., Santos, J. A., Ormaechea, E., Net, A., Benito, S., Mancebo, J., Vallverdú, I., Rialp, G., Subirana, M., Santos, J. A., Benito, S., Vallverdú, I., Stricker, H., Domenighetti, G., Waldispuehl, B., Feickert, H. J., Kayser, Ch., Sasse, M., Grüning, T., Pappert, D., Merker, G., Steinau, R., Wenz, M., Lange, M., Gerlach, H., Kaczmarczyk, G., De Deyne, C., Decruyenaere, J., Hoste, E., Colardyn, F., Bar-Lavie, Y., Borg, U., Kuramoto, J., Habashi, N., Reynolds, H. N., Walder, B., Bründler, M. A., Spiliopoulos, A., Zürcher, R., Nicod, L., Romand, J. A., Alyoshkin, A. V., Zarubina, T. V., Okhuysen, R. S., Bristow, F., Alpert, B. E., Frates, R. C., De Laat, M., Vermassen, F., Subirana, M., Betbesé, A. J., Pérez, M., Rialp, G., Santos, A., Subirana, M., Subirana, M., Betbesé, A., Subirana, M., Kanhai, J. K. K., Strijdhorst, H., Pompe, J. C., Bruining, H. A., Huygen, P. E. M., Teba, L., Singh, S. G., Dedhia, H. V., Vivaldi, G. Ferrari, Pedersini, G., Cingia, C., Ferrari, M., Marzollo, P., Kunert∼, M., Scheuble∼, L., Johanns’, M., Adnet, F., Benaissa M. L., Bekka R., Plaisance, P., Lapandry, C., Lapostolle, F., Baud, F., Solca, M., Ravagnan, I., Pedoto, A., Piquemal, R., Dequin, P. F., Hazouard E., Legras, A., Perrotin, D., Ginies, G., Calzia, E., Lindner, K. H., Radermacher, P., Steltzer, H., Krafft, P., Krenn, C. G., Fridrich, P., Hammerle, A. F., Gill, R. S., Pappachan, J. V., Young, M. A., Taylor, B. L., Smith, G. B., Lachana, Alexandra, Dimitroula, V., Stergiou, P., Nakos, G., Haberthür, C., Fabry, B., Zappe, D., Volta, C., Gottfried, S., Goldberg, P., Beuret, P., Carton, M. J., De Pasquale, V., Harlay, M. L., Cannamela, A., Ducreux, J. C., Tempelhoff, G., Eremenko, A. A., Chaus, N. I., Levicov, D. I., Bozhieva, L. V., Revuelta, P., Frutos, F., Núñez, C., Garrido, P., Lorenzo, J. M., Tamayo, L., Freire E., Silva A., Caminha J., Carneiro A., Reis E., Rocha N., Lopes M., Paes Cardoso A., Rua F., Young, J. D., Allman, K. G., Wallin, C. -J., Rundgren, M., Eriksson, S., Hjelmqvist, H., Leksell, L. G., Nicolayenko, E. M., Grischenko, A. V., Fomicheva, A. V., Soltan, S. A., Stepanov, N. A., Anaslasaki, M., Agouridakls, P., Katsanoulas, K., Moloudl, E., Chaniotakls, E., Askitopoulou, E., Agouridakis, P., Katsanoulas, K., Lampakis, S., Chaniotaki, F., Groutsou, H., Gregoretti, C., Navaleai, P., Foti, G., Turello, M., Muato, P., Šakić, K., Pećina, M., Šakić, Š, Del Nogal, F., Jiménez, M. J., García, M. A., Suárez, J., Temprano, S., Díaz, R., López, J., Zupancich, E., Turani, F., Tessitore, L., Mastrofrancesco, P., Celeste, G., Curatola, D., Sabato, A. F., Kellv, K. P., Gerlach, H., Ludwigs, U., Sánchez, A., Jiménez, J. M., Guerrero, A., Martínez, S., Chirosa, M., Marín, M., Young, P. J., Rollinson, M., Downward, G., Henderson, S., Mas, A., Martínez, M., Díaz, E., Joseph, D., Baigorri, F., Blanch, LI., Blanch, L., Perez, M., Martinez, M., Betbese, A. J., Subirana, M., Jam, R., Lucangelo, U., Hernández, E., Jam, M. R., Ortiz, D., Ayala, S., Noray, M., Blanch, L. I., Royo, C., Zappe, D., Haberthür, C., Díaz, O., Saldías, F., Andresen, M., Arriagada, D., Dougnac, A., Laterre, P. F., Raynaert, M., Jorquera, R., Florence, E., Espeel, B., Roeseler, J., Capodilupo, G., Reynaert, M. S., Gabrielli, C., Michel, F., Nibbe, L., Kuhlen, R., Hausmann, S., Max, M., Sprenger, M., Haberthür, Ch., Falke, K., Olivei, M., Galbusera, C., Veronesi, R., Palo, A., Comelli, A., Zanierato, M., Iotti, G., Brunner, J. X., Braschi A., Galbusera C., Olivei M., Zanierato M., Rinaldi M., Palo A., Veronesi R., Viganó M., Braschi A., Stopar, T., Danovitch, K., Gursahaney, A., Gottfried, S. B., Reper, P., Danckaert, R., Wybaux, O., Jagodzinski, R., Lampaert, P., Jeunen, R., Vanderkelen, A., Pinder, M., Lipman, J., Hon, H., Low, J. H. S., and Wells, M.

Published
1996
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