10 results on '"Soraya Zaid"'
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2. SARS-CoV-2 diagnosis using medical imaging techniques and artificial intelligence: A review
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Mohamed Hedi Bedoui, Ramzi Mahmoudi, Younes Arous, Narjes Benameur, Badii Hmida, Soraya Zaid, Laboratoire d'Informatique Gaspard-Monge (LIGM), Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS), and Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM)
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CNN, Convolutional neural network ,Pleural effusion ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,viruses ,CXR, Chest X-ray ,Clinical Findings ,Article ,030218 nuclear medicine & medical imaging ,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] ,03 medical and health sciences ,0302 clinical medicine ,Chest CT ,DNN, Deep neural network ,GAN, Generative adversarial network ,Medical Imaging Techniques ,Artificial Intelligence ,Medical imaging ,medicine ,[INFO.INFO-IM]Computer Science [cs]/Medical Imaging ,Radiology, Nuclear Medicine and imaging ,[INFO]Computer Science [cs] ,skin and connective tissue diseases ,Modality (human–computer interaction) ,business.industry ,SARS-CoV-2 ,AI, Artificial intelligence ,fungi ,GGO, Ground-glass opacities ,medicine.disease ,3. Good health ,respiratory tract diseases ,body regions ,Workflow ,Pneumothorax ,Radiology Nuclear Medicine and imaging ,030220 oncology & carcinogenesis ,CT, Computed tomography ,Identification (biology) ,Artificial intelligence ,Reticular Pattern ,business - Abstract
International audience; Objective: SARS-CoV-2 is a worldwide health emergency with unrecognized clinical features. This paper aims to review the most recent medical Imaging techniques used for the diagnosis of SARS-CoV-2 and their potential contributions to attenuate the pandemic. Recent researches, including Artificial Intelligence tools, will be described. Methods We review the main clinical features of SARS-CoV-2 revealed by different medical imaging techniques. First, we present the clinical findings of each technique. Then, we describe several artificial intelligence approaches introduced for the SARS-CoV-2 diagnosis. Results CT is the most accurate diagnostic modality of SARS-CoV-2. Additionally, ground-glass opacities and consolidation are the most common signs of SARS-CoV-2 in CT images. However, other findings such as reticular pattern, and crazy paving could be observed. We also found that pleural effusion and pneumothorax features are less common in SARS-CoV-2. According to the literature, the B lines artifacts and pleural line irregularities are the common signs of SARS-CoV-2 in ultrasound images. We have also stated the different studies, focusing on artificial intelligence tools, to evaluate the SARS-CoV-2 severity. We found that most of the reported works based on deep learning focused on the detection of SARS-CoV-2 from medical images while the challenge for the radiologists is how to differentiate between SARS-CoV-2 and other viral infections with the same clinical features. Conclusion The identification of SARS-CoV-2 manifestations on medical images is a key step in radiological workflow for the diagnosis of the virus and could be useful for researchers working on computer-aided diagnosis of pulmonary infections.
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- 2021
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3. Lack of AI-based method for pneumocystis pneumonia classification in radiological diagnosis of SARS-CoV-2
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Ramzi Mahmoudi, Asma Migaou, Mohamed Hedi Bedoui, Younes Arous, Soraya Zaid, Badii Hmida, Narjes Benameur, Université de Tunis El Manar (UTM), Laboratoire d'Informatique Gaspard-Monge (LIGM), Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS), Université de Monastir - University of Monastir (UM), and Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM)
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2019-20 coronavirus outbreak ,Coronavirus disease 2019 (COVID-19) ,[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Pneumocystis pneumonia ,[SDV.MHEP.PSR]Life Sciences [q-bio]/Human health and pathology/Pulmonology and respiratory tract ,[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] ,03 medical and health sciences ,Deep Learning ,0302 clinical medicine ,Artificial Intelligence ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,medicine ,[INFO.INFO-IM]Computer Science [cs]/Medical Imaging ,Humans ,Radiology, Nuclear Medicine and imaging ,030212 general & internal medicine ,ComputingMilieux_MISCELLANEOUS ,[SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases ,SARS-CoV-2 ,business.industry ,Breast Imaging ,Pneumonia, Pneumocystis ,COVID-19 ,medicine.disease ,Virology ,3. Good health ,Pneumonia ,030228 respiratory system ,Radiological weapon ,business - Abstract
International audience
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- 2021
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4. From Monometallic to Bimetallic Systems: Improving Glycerol Liquid Phase Catalytic Oxidation
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Ayman El Roz, Soraya Zaid, Mickaël Capron, Jean-Sébastien Girardon, Elzbieta Skrzynska-Cwiakalska, Franck Dumeignil, Unité de Catalyse et Chimie du Solide - UMR 8181 (UCCS), Centrale Lille Institut (CLIL)-Université d'Artois (UA)-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Lille, and Université d'Artois (UA)-Centrale Lille-Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
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chemistry.chemical_compound ,Catalytic oxidation ,chemistry ,Chemical engineering ,Glycerol ,Liquid phase ,[CHIM.CATA]Chemical Sciences/Catalysis ,Bimetallic strip ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
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- 2020
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5. Kinetic modelling of the glycerol oxidation in the liquid phase: comparison of Pt, Au and Ag AS active phases
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Soraya Zaid, Elżbieta Skrzyńska, Jean-Sébastien Girardon, Franck Dumeignil, José Antonio Díaz, Pascal Fongarland, and Mickaël Capron
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Glyceric acid ,General Chemical Engineering ,Kinetics ,Liquid phase ,02 engineering and technology ,010402 general chemistry ,Kinetic energy ,7. Clean energy ,01 natural sciences ,Catalysis ,Inorganic Chemistry ,chemistry.chemical_compound ,Glycerol ,Organic chemistry ,Waste Management and Disposal ,Glycolic acid ,Range (particle radiation) ,Renewable Energy, Sustainability and the Environment ,Organic Chemistry ,021001 nanoscience & nanotechnology ,Pollution ,0104 chemical sciences ,Fuel Technology ,chemistry ,Physical chemistry ,0210 nano-technology ,Biotechnology - Abstract
BACKGROUND Unlike Pt and Au, Ag has been recently reported to be an active catalyst for the synthesis of glycolic acid from the liquid phase oxidation of glycerol (GLY>). In order to provide comparative information about the kinetics of this reaction using Pt, Au or Ag,> a kinetic model was performed for each catalyst (Ag/, Pt/ and Au/Al2O3), using the experimental results obtained at different temperatures. RESULTS A power-law kinetic model was proposed for each catalyst, which included the Khang-Levenspiel model to evaluate potential catalyst deactivation. All the three kinetic models predicted well the experimental concentrations. Pt/ and Au/Al2O3 showed higher kinetic rate constants, being the highest value that of the production of glyceric acid. The lower the metal particle size, the higher the kinetic rate constant of the production of glyceric acid was. Deactivation parameters played an important role in the model of Pt/Al2O3, so that Au/ and Ag/Al2O3 seemed to be more resistant to deactivation. CONCLUSIONS This work reports the first kinetic model for the oxidation of GLY using a Ag-based catalyst. It showed a noticeable kinetic rate constant for the production of glycolic acid. The activation energies obtained were in the range 48–97 kJ/mol.
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- 2017
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6. Performance of Ag/Al2O3 catalysts in the liquid phase oxidation of glycerol – effect of preparation method and reaction conditions
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Elżbieta Skrzyńska, Franck Dumeignil, Mickaël Capron, Ahmed Addad, Soraya Zaid, Jean-Sébastien Girardon, Faculty of Chemical Engineering and Technology, Cracow University of Technology, Unité de Catalyse et Chimie du Solide - UMR 8181 (UCCS), Centrale Lille Institut (CLIL)-Université d'Artois (UA)-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Lille, Unité Matériaux et Transformations - UMR 8207 (UMET), Institut de Chimie du CNRS (INC)-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Ecole Nationale Supérieure de Chimie de Lille (ENSCL), Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), Unité de Catalyse et de Chimie du Solide - UMR 8181 (UCCS), Université d'Artois (UA)-Ecole Centrale de Lille-Ecole Nationale Supérieure de Chimie de Lille (ENSCL)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure de Chimie de Lille (ENSCL)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Université d'Artois (UA)-Centrale Lille-Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure de Chimie de Lille (ENSCL)-Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), ENSCL, Université de Lille, CNRS, INRA, Centrale Lille, Univ. Artois, Unité de Catalyse et Chimie du Solide - UMR 8181 [UCCS], and Unité Matériaux et Transformations - UMR 8207 [UMET]
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Glyceric acid ,Inorganic chemistry ,02 engineering and technology ,[CHIM.CATA]Chemical Sciences/Catalysis ,010402 general chemistry ,021001 nanoscience & nanotechnology ,01 natural sciences ,7. Clean energy ,Catalysis ,0104 chemical sciences ,Solvent ,chemistry.chemical_compound ,chemistry ,Chemical engineering ,Glycerol ,Methanol ,Partial oxidation ,0210 nano-technology ,Selectivity ,Glycolic acid ,ComputingMilieux_MISCELLANEOUS - Abstract
This paper presents a systematic study of alumina supported silver catalysts, a novel catalytic system proposed for the liquid phase aerobic partial oxidation of glycerol to glycolic acid, the smallest α-hydroxyacid with numerous industrial applications (raw material in the chemical industry, ingredient in textiles, food, cosmetics, plastics, adhesives, pharmaceuticals, etc.). We evaluated the effect of the preparation method, the silver loading and the type of alumina support on the properties and the activity of the solids. We showed that numerous parameters can affect the catalytic performances, the most important of which were the following: the type of solvent used during preparation, the basicity and phase composition of the support, as well as the amount of base used during glycerol oxidation. The most active catalysts were at the same time the most selective ones to glycolic acid, which clearly differentiates the silver catalysts from other noble metals conventionally used in glycerol oxidation, such as Au, Pd and Pt, characterized by a high selectivity to glyceric acid. The best results in terms of conversion and selectivity to glycolic acid were obtained over the catalyst prepared by the chemical reduction method in a basic methanol solution, using formaldehyde as a reductant. After 3 h of reaction at 60 °C under 5 bar of oxygen pressure over such a catalyst loaded with 3.6 wt% Ag, an 85% glycerol conversion together with a 57.1% selectivity to glycolic acid were achieved. Moreover, the catalysts showed good stability in the continuous mode and very good resistance to the impurities present in a crude glycerol fraction. 6
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- 2016
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7. Catalytic behaviour of four different supported noble metals in the crude glycerol oxidation
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Elżbieta Skrzyńska, Franck Dumeignil, Mickaël Capron, Soraya Zaid, Jean-Sébastien Girardon, ENSCL, CNRS, Centrale Lille, Univ. Artois, Université de Lille, Unité de Catalyse et Chimie du Solide - UMR 8181 [UCCS], Faculty of Chemical Engineering and Technology, Cracow University of Technology, Unité de Catalyse et Chimie du Solide - UMR 8181 (UCCS), Centrale Lille Institut (CLIL)-Université d'Artois (UA)-Centrale Lille-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Lille, Institut Universitaire de France (IUF), Ministère de l'Education nationale, de l’Enseignement supérieur et de la Recherche (M.E.N.E.S.R.), and Université d'Artois (UA)-Centrale Lille-Institut de Chimie du CNRS (INC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)
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Inorganic chemistry ,02 engineering and technology ,engineering.material ,010402 general chemistry ,01 natural sciences ,7. Clean energy ,Catalysis ,Metal ,Reaction rate ,chemistry.chemical_compound ,Impurity ,Glycerol ,ComputingMilieux_MISCELLANEOUS ,Process Chemistry and Technology ,[CHIM.CATA]Chemical Sciences/Catalysis ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,chemistry ,13. Climate action ,Biodiesel production ,visual_art ,engineering ,visual_art.visual_art_medium ,Noble metal ,Methanol ,0210 nano-technology - Abstract
The activity of four different noble metals (Ag, Au, Pd and Pt) in the liquid phase oxidation of pure glycerol was confronted with the results obtained with a crude glycerol fraction, received from a large-scale biodiesel production plant. The catalysts were characterized by numerous techniques, giving insight into actual metal loading (elemental analysis by ICP and XRF), surface morphology (nitrogen absorption methods—BET and porosity), chemical state of both the support and the metal (XRD and XPS), and, finally, the metal particle size distribution (TEM microscopy). A good dispersion of totally reduced noble metal particles of a nanometric size (an average metal diameters were equal 3.5 nm, 4.2 nm, 4.7 nm and 21.2 nm for respectively Pd, Pt, Au and Ag) was accompanied with a comparable values of total metal loadings on the alumina support (from 0.95 and 0.96 wt.% for Pt and Pd, up to 0.98 and 1.13 wt.% for Au and Ag supported catalysts, respectively). In terms of initial reaction rate, the most active sample was the Au/Al 2 O 3 catalyst, both using pure (12976 mol h −1 mol Au −1 ) or crude glycerol (1230 mol h −1 mol Au −1 ). However, comparison of the selectivities and conversions after 1–2 h shows that the most robust and resistant catalyst – toward the impurities present in crude glycerol – is Pd/Al 2 O 3 , with a loss of conversion less than 50% (in respect to analogous reaction using pure glycerol) and almost unchanged high selectivity to glyceric acid (close to 80–90%). Ag/Al 2 O 3 also showed a relatively high resistance to impurities in terms of glycerol conversion, but with a drastic modification of its selectivity. The activity of the two other catalysts was dramatically affected with a conversion divided by ca. 4 and even 10 for the Pt and the Au catalysts, respectively, when using crude glycerol instead of pure glycerol. Finally, the effect of each main impurity (MONG-NM, i.e. , matter organic non-glycerol and non-methanol; ash; methanol; sulphur compounds) was independently studied. In any case, the sulphur compounds and MONG-NM were the impurities the most detrimental for the performances of catalysts. Thus, they should be removed in priority from crude glycerol fractions before reaction, while ashes and methanol should not be considered as completely undesirable.
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- 2015
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8. Cover Image, Volume 92, Issue 9
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José Antonio Díaz, Elżbieta Skrzyńska, Soraya Zaid, Jean-Sébastien Girardon, Mickaël Capron, Franck Dumeignil, and Pascal Fongarland
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Inorganic Chemistry ,Fuel Technology ,Renewable Energy, Sustainability and the Environment ,General Chemical Engineering ,Organic Chemistry ,Pollution ,Waste Management and Disposal ,Biotechnology - Published
- 2017
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9. Contributors
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Hani Abujudeh, Andreas Adam, Hassan M. Ahmad, Sun Ho Ahn, Kamran Ahrar, Morvarid Alaghmand, Agaicha Alfidja, Ahmad I. Alomari, Gennaro Ambrosanio, Soon Ghee Ang, John Frederick Angle, Gary M. Ansel, Bassel Atassi, Julien Auriol, Juan Carlos Baez, Curtis W. Bakal, Jörn Oliver Balzer, Joel E. Barbato, Brad P. Barnett, Gamal Baroud, Carlo Bartolozzi, Jason R. Bauer, Richard Arthur Baum, Kevin Walter Bell, Jacqueline A. Bello, Jennifer L. Berkeley, Michael A. Bettmann, Mario Bezzi, José I. Bilbao, Deniz Bilecen, Christoph A. Binkert, Haraldur Bjarnason, James H. Black, Francine Blei, Brian M. Block, Marc Bohner, Amman Bolia, Irene Boos, Charles F. Botti, Louis Boyer, Elena Bozzi, Peter Reynolds Bream, Rachel F. Brem, Mark F. Brodie, Allan L. Brook, Benjamin S. Brooke, Duncan Mark Brooks, Daniel B. Brown, Karen T. Brown, James P. Burnes, Patricia E. Burrows, Justin John Campbell, Colin P. Cantwell, Thierry Carreres, John A. Carrino, Lucie Cassagnes, Pascal Chabrot, Abbas Afif Chamsuddin, Richard Chang, Lakhmir S. Chawla, Hank (Han) K. Chen, Yung-Hsin Chen, Rush Hamilton Chewning, Kenneth H. Cho, Albert K. Chun, Timothy W.I. Clark, Felipe B. Collares, Luca Cova, Laura Crocetti, Charles D. Crum, T. Andrew Currier, Ferenc Czeyda-Pommersheim, Michael D. Dake, Michael David Darcy, L. Mark Dean, Thierry De Baère, Sudhen B. Desai, Alvaro A. Diano, Robert G. Dixon, Pablo D. Dominguez, Robert F. Dondelinger, Gregory J. Dubel, Clifford J. Eskey, Jan A. Eubig, Salomão Faintuch, Ronald N. Fairman, Chieh-Min Fan, Fabrizio Fanelli, Mark A. Farber, Laura M. Fayad, Peter F. Ford, Brian Funaki, Andreas Gabelmann, Dmitri A. Gagarin, Philippe Gailloud, Suvranu Ganguli, Lorenzo García-García, Vanessa L. Gates, Tony Geoghegan, Debra A. Gervais, Jean-Francois H. Geschwind, Matthew B. Gillbert, Mark F. Given, Y. Pierre Gobin, S. Nahum Goldberg, Theodore S. Grawbow, Roy K. Greenberg, Brian Grieme, Klaus D. Hagspiel, Keith W. Hamilton, Klaus A. Hausegger, Markus H. Heim, Robert C. Heng, Joshua A. Hirsch, J. Todd Hobelmann, Andrew H. Holden, Ed Horn, Oluwatoyin R. Idowu, Tiziana Ierace, Elizabeth Ann Ignacio, Zubin Irani, Roberto Izzo, James E. Jackson, Augustinus L. Jacob, Priya Jaga, Francis Joffre, Matthew S. Johnson, Chauncey T. Jones, Sanjeeva P. Kalva, Anthony W. Kam, Sridhar Kamath, Krishna Kandarpa, Jeffrey M. Katz, John A. Kaufman, Alexis D. Kelekis, Frederick S. Keller, Robert K. Kerlan, David Kessel, Verena Khan, Kanika Khanna, Neil M. Khilnani, Hyun S. Kim, Hiro Kiyosue, Sebastian Kos, Gaurav Kumar, Maxim Kupershmidt, Vineel Kurli, Jeanne M. LaBerge, Pierre-Yves Laffy, Carlos Lanciego, Elvira V. Lang, Arcangelo L. Lavanga, Leo Patrick Lawler, Judy M. Lee, Michael J. Lee, Thomas Lemettre, Riccardo Lencioni, Yean L. Lim, Robert J. Lewandowski, John J. Lewin, Curtis Allen Lewis, Changqing Li, Eleni Liapi, Rafael H. Llinas, Reinhard Loose, Stuart M. Lyon, Patrick C. Malloy, Michael J. Manzano, Marie Agnes Marachet, Jean-Baptiste Martin, Antonio Martínez-Cuesta, M. Victoria Marx, John M. Mathis, Alan H. Matsumoto, Matthew A. Mauro, Gordon McLennan, Simon J. McPherson, Hugh McSwain, Steven Greene Meranze, Todd S. Miller, Robert J. Min, Sally E. Mitchell, Stephan Moll, Jeffrey I. Mondschein, Laurel E. Moore, Jose Pablo Morales, Robert A. Morgan, Hiromu Mori, Paul R. Morrison, Stefan Müller-Hülsbeck, Kieran P.J. Murphy, Timothy P. Murphy, Mario Muto, Aravinda Nanjundappa, Juan C. Narvaez, Rodrigo Gomes Do Nascimento, Albert A. Nemcek, Ali Noor, Luigi Novelli, Gianluigi Orgera, Philippe Otal, Randall P. Owen, Aalpen A. Patel, Sandra Pauls, Monica Smith Pearl, Giuseppe Pelle, Olivier Pellerin, Daniel Picus, Jeffrey S. Pollak, Rupert Horst Portugaller, Batya R. Radzik, Suman W. Rathbun, Anne Ravel, Charles E. Ray, Mahmood K. Razavi, Howard A. Riina, Anne Roberts, Alain Roche, Eric E. Roselli, Robert J. Rosen, Plinio Rossi, Hervé Rousseau, Stefan G. Ruehm, Diego San Millán Ruíz, John H. Rundback, Wael E.A. Saad, Tarun Sabharwal, Gloria Maria Martinez Salazar, John Vito Salerno, Riad Salem, Marc R. Sapoval, Shawn N. Sarin, Sanjiv Sharma, Ashot Shekoyan, Ji Hoon Shin, Naomi N. Silva, Stuart G. Silverman, Charan Kamal Singh, Constantinos T. Sofocleous, Luigi Solbiati, Stephen B. Solomon, Ho-Young Song, Kean H. Soon, Thomas A. Sos, Michael C. Soulen, James B. Spies, M.J. Bernadette Stallmeyer, Joseph M. Stavas, LeAnn Simmons Stokes, Ernst-Peter Strecker, Michael B. Streiff, Deepak Sudheendra, Walter A. Tan, Elizabeth R. Tang, Mahsa R. Tehrani, Mathew M. Thompson, Kenneth R. Thompson, Gina D. Tran, Scott O. Trerotola, David Trost, Nirman Tulsyan, Kemal Tuncali, Ulku Cenk Turba, Renan Uflacker, Eric van Sonnenberg, Prasanna Vasudevan, Anthony C. Venbrux, Tom Vesely, Bogdan Vierasu, Rachel L. Vile, Isabel Vivas, Dierk Vorwerk, David L. Waldman, Michael J. Wallace, Anthony F. Watkinson, Peter N. Waybill, Joshua L. Weintraub, Robert I. White, Mark H. Wholey, Bradford D. Winters, Robert Wityk, Edward Y. Woo, Bradford J. Wood, Gerald M. Wyse, Albert J. Yoo, Chang Jin Yoon, Rex C. Yung, Soraya Zaid, Steven M. Zangan, Grace M. Zawistowski, Fabio Zeccolini, Eberhard Zeitler, Dianbo Zhang, Gregg H. Zoarski, and Christoph L. Zollikofer
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- 2010
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10. Guida alla terapia ablativa percutanea nei tumori epatici
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Luca Cova, Soraya Zaid, Luigi Solbiati, and Tiziana Ierace
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Numerosi tipi di terapia ablativa applicabili principalmente per via percutanea sono attualmente disponibili per i tumori primitivi e metastatici del fegato: quelli che utilizzano l’energia termica (in particolare la termoablazione con radiofrequenza) hanno oggi la maggiore diffusione e le casistiche piu ampie.
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- 2007
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