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517 results on '"Fonio, Paolo"'

2. Albi score predicts overall survival (OS) in patients with hepatocellular carcinoma (HCC) treated with selective internal radiation therapy (SIRT)

Author

Finessi, Monica, Cioffi, Martina, Grimaldi, Serena, Fronda, Marco, Rovera, Guido, Passera, Roberto, Carucci, Patrizia, Gaia, Silvia, Rolle, Emanuela, Rizza, Giorgia, Colli, Fabio, Saracco, Giorgio Maria, Romagnoli, Renato, Calandri, Marco, Fonio, Paolo, Morbelli, Silvia Daniela, and Doriguzzi Breatta, Andrea

Published
2024
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4. Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray

Author

Gallone, Guglielmo, Iodice, Francesco, Presta, Alberto, Tore, Davide, de Filippo, Ovidio, Visciano, Michele, Barbano, Carlo Alberto, Serafini, Alessandro, Gorrini, Paola, Bruno, Alessandro, Marra, Walter Grosso, Hughes, James, Iannaccone, Mario, Fonio, Paolo, Fiandrotti, Attilio, Depaoli, Alessandro, Grangetto, Marco, de Ferrari, Gaetano Maria, and D'Ascenzo, Fabrizio

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Aims. To develop a deep-learning based system for recognition of subclinical atherosclerosis on a plain frontal chest x-ray. Methods and Results. A deep-learning algorithm to predict coronary artery calcium (CAC) score (the AI-CAC model) was developed on 460 chest x-ray (80% training cohort, 20% internal validation cohort) of primary prevention patients (58.4% male, median age 63 [51-74] years) with available paired chest x-ray and chest computed tomography (CT) indicated for any clinical reason and performed within 3 months. The CAC score calculated on chest CT was used as ground truth. The model was validated on an temporally-independent cohort of 90 patients from the same institution (external validation). The diagnostic accuracy of the AI-CAC model assessed by the area under the curve (AUC) was the primary outcome. Overall, median AI-CAC score was 35 (0-388) and 28.9% patients had no AI-CAC. AUC of the AI-CAC model to identify a CAC>0 was 0.90 in the internal validation cohort and 0.77 in the external validation cohort. Sensitivity was consistently above 92% in both cohorts. In the overall cohort (n=540), among patients with AI-CAC=0, a single ASCVD event occurred, after 4.3 years. Patients with AI-CAC>0 had significantly higher Kaplan Meier estimates for ASCVD events (13.5% vs. 3.4%, log-rank=0.013). Conclusion. The AI-CAC model seems to accurately detect subclinical atherosclerosis on chest x-ray with elevated sensitivity, and to predict ASCVD events with elevated negative predictive value. Adoption of the AI-CAC model to refine CV risk stratification or as an opportunistic screening tool requires prospective evaluation., Comment: Submitted to European Heart Journal - Cardiovascular Imaging Added also the additional material 44 pages (30 main paper, 14 additional material), 14 figures (5 main manuscript, 9 additional material)

Published
2024

5. Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification

Author

Perlo, Daniele, Berton, Luca, Delpiano, Alessia, Menchini, Francesca, Tibaldi, Stefano, Grosso, Marco, and Fonio, Paolo

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, J.3, I.1.2
Abstract

The liver is the most involved organ by distant metastasis in colon-rectal cancer (CRC) patients and it comes necessary to be aware of the mutational status of the lesions to correctly design the best individual treatment. So far, efforts have been made in order to develop non-invasive and real-time methods that permit the analysis of the whole tumor, using new artificial intelligence tools to analyze the tumor's image obtained by Computed Tomography (CT) scan. In order to address the current medical workflow, that is biopsy analysis-based, we propose the first DeepLearning-based exploration, to our knowledge, of such classification approach from the patient medical imaging. We propose i) a solid pipeline for managing undersized datasets of available CT scans and ii) a baseline study for genomics mutation diagnosis support for preemptive patient follow-up. Our method is able to identify CRC RAS mutation family from CT images with 0.73 F1 score.

Published
2024
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6. Combined transarterial chemoembolization and thermal ablation in candidates to liver transplantation with hepatocellular carcinoma: pathological findings and post-transplant outcome

Author

Fronda, Marco, Susanna, Eleonora, Doriguzzi Breatta, Andrea, Gazzera, Carlo, Patrono, Damiano, Piccione, Federica, Bertero, Luca, Ciferri, Fernanda, Carucci, Patrizia, Gaia, Silvia, Rolle, Emanuela, Vocino Trucco, Giulia, Bergamasco, Laura, Tandoi, Francesco, Cassoni, Paola, Romagnoli, Renato, Fonio, Paolo, and Calandri, Marco

Published
2024
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7. Optimisation of protection in the medical exposure of recurrent adult patients due to computed tomography procedures: development of recurrent exposures reference levels

Author

Bramilla, Marco, Berton, Luca, Balzano, Rosario F., Cannillo, Barbara, Carriero, Alessandro, Chauvie, Stephane, Gallo, Teresa, Cornacchia, Samantha, Cutaia, Claudia, D’Alessio, Andrea, Emanuele, Roberto, Fonio, Paolo, Matheoud, Roberta, Stasi, Michele, Talenti, Alberto, and Rampado, Osvaldo

Published
2024
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8. Value of a short non-contrast CMR protocol in MINOCA

Author

Gatti, Marco, Palmisano, Anna, Gerboni, Mattia, Cau, Riccardo, Pintus, Alessandra, Porcu, Michele, Tore, Davide, Vignale, Davide, Andreis, Alessandro, Bergamasco, Laura, De Ferrari, Gaetano Maria, Esposito, Antonio, Saba, Luca, Fonio, Paolo, and Faletti, Riccardo

Published
2024
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10. Effectiveness and Safety of Different Vascular Closure Devices: Multicentre Prospective Observational study

Author

Ierardi, Anna Maria, Coppola, Andrea, Renzulli, Matteo, Piacentino, Filippo, Fontana, Federico, Paladini, Andrea, Guzzardi, Giuseppe, Semeraro, Vittorio, Di Stasi, Carmine, Giurazza, Francesco, Niola, Raffaella, Stefanini, Matteo, Contegiacomo, Andrea, Carrubba, Claudio, Discalzi, Andrea, Ciferri, Fernanda, Carriero, Serena, Lanza, Carolina, Biondetti, Pierpaolo, Coniglio, Giovanni, Fonio, Paolo, Venturini, Massimo, Carrafiello, Gianpaolo, and Del Giudice, Costantino

Published
2023
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12. Combining Process Mining and Optimization: A Scheduling Application in Healthcare

Author

Di Cunzolo, Matteo, Guastalla, Alberto, Aringhieri, Roberto, Sulis, Emilio, Amantea, Ilaria Angela, Ronzani, Massimiliano, Di Francescomarino, Chiara, Ghidini, Chiara, Fonio, Paolo, Grosso, Marco, van der Aalst, Wil, Series Editor, Mylopoulos, John, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Cabanillas, Cristina, editor, Garmann-Johnsen, Niels Frederik, editor, and Koschmider, Agnes, editor

Published
2023
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13. Coronary Plaque Characteristics Associated With Major Adverse Cardiovascular Events in Atherosclerotic Patients and Lesions: A Systematic Review and Meta-Analysis

Author

Gallone, Guglielmo, Bellettini, Matteo, Gatti, Marco, Tore, Davide, Bruno, Francesco, Scudeler, Luca, Cusenza, Vincenzo, Lanfranchi, Antonio, Angelini, Andrea, De Filippo, Ovidio, Iannaccone, Mario, Baldetti, Luca, Audisio, Katia, Demetres, Michelle, Risi, Gaetano, Rizzello, Giulia, Porto, Italo, Fonio, Paolo, Prati, Francesco, Williams, Michelle C., Koo, Bon-Kwon, Pontone, Gianluca, Depaoli, Alessandro, Libby, Peter, Stone, Gregg W., Narula, Jagat, De Ferrari, Gaetano Maria, and D’Ascenzo, Fabrizio

Published
2023
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15. Systematic Review of Hybrid Cardiac Imaging

Author

Breviario, Susanna, Tore, Davide, De Filippo, Ovidio, De Ferrari, Gaetano Maria, Fonio, Paolo, D’Ascenzo, Fabrizio, Depaoli, Alessandro, Nudi, Francesco, editor, Schillaci, Orazio, editor, Biondi-Zoccai, Giuseppe, editor, and Iskandrian, Ami E., editor

Published
2022
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16. UniToChest: A Lung Image Dataset for Segmentation of Cancerous Nodules on CT Scans

Author

Chaudhry, Hafiza Ayesha Hoor, Renzulli, Riccardo, Perlo, Daniele, Santinelli, Francesca, Tibaldi, Stefano, Cristiano, Carmen, Grosso, Marco, Limerutti, Giorgio, Fiandrotti, Attilio, Grangetto, Marco, Fonio, Paolo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sclaroff, Stan, editor, Distante, Cosimo, editor, Leo, Marco, editor, Farinella, Giovanni M., editor, and Tombari, Federico, editor

Published
2022
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17. Diagnostic accuracy of coronary computed tomography angiography for the evaluation of obstructive coronary artery disease in patients referred for transcatheter aortic valve implantation: a systematic review and meta-analysis

Author

Gatti, Marco, Gallone, Guglielmo, Poggi, Vittoria, Bruno, Francesco, Serafini, Alessandro, Depaoli, Alessandro, De Filippo, Ovidio, Conrotto, Federico, Darvizeh, Fatemeh, Faletti, Riccardo, De Ferrari, Gaetano Maria, Fonio, Paolo, and D’Ascenzo, Fabrizio

Published
2022
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20. Multi-institutional analysis of outcomes for thermosphere microwave ablation treatment of colorectal liver metastases: the SMAC study

Author

De Cobelli, Francesco, Calandri, Marco, Della Corte, Angelo, Sirovich, Roberta, Gazzera, Carlo, Della Vigna, Paolo, Bonomo, Guido, Varano, Gianluca Maria, Maiettini, Daniele, Mauri, Giovanni, Camisassi, Nicola, Steidler, Stephanie, Ratti, Francesca, Gusmini, Simone, Ronzoni, Monica, Aldrighetti, Luca, Odisio, Bruno C., Racca, Patrizia, Fonio, Paolo, Veltri, Andrea, and Orsi, Franco

Published
2022
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21. Impact of lipid-lowering therapies on cardiovascular outcomes according to coronary artery calcium score. A systematic review and meta-analysis

Author

Gallone, Guglielmo, Elia, Edoardo, Bruno, Francesco, Angelini, Filippo, Franchin, Luca, Bocchino, Pier Paolo, Piroli, Francesco, Annone, Umberto, Montabone, Andrea, Marengo, Giorgio, Bertaina, Maurizio, De Filippo, Ovidio, Baldetti, Luca, Palmisano, Anna, Serafini, Alessandro, Esposito, Antonio, Depaoli, Alessandro, D’ascenzo, Fabrizio, Fonio, Paolo, and De Ferrari, Gaetano Maria

Published
2022
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22. Impacto de los tratamientos hipolipemiantes en los resultados cardiovasculares según la puntuación de calcio coronario. Revisión sistemática y metanálisis

Author

Gallone, Guglielmo, Elia, Edoardo, Bruno, Francesco, Angelini, Filippo, Franchin, Luca, Bocchino, Pier Paolo, Piroli, Francesco, Annone, Umberto, Montabone, Andrea, Marengo, Giorgio, Bertaina, Maurizio, De Filippo, Ovidio, Baldetti, Luca, Palmisano, Anna, Serafini, Alessandro, Esposito, Antonio, Depaoli, Alessandro, D’ascenzo, Fabrizio, Fonio, Paolo, and De Ferrari, Gaetano Maria

Published
2022
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23. Impact of computed-tomography defined sarcopenia on outcomes of older adults undergoing transcatheter aortic valve implantation

Author

Gallone, Guglielmo, Depaoli, Alessandro, D'Ascenzo, Fabrizio, Tore, Davide, Allois, Luca, Bruno, Francesco, Casale, Maurizio, Atzeni, Francesco, De Lio, Giulia, Bocchino, Pier Paolo, Piroli, Francesco, Angelini, Filippo, Angelini, Andrea, Scudeler, Luca, De Lio, Francesca, Andreis, Alessandro, Salizzoni, Stefano, La Torre, Michele, Conrotto, Federico, Rinaldi, Mauro, Fonio, Paolo, and De Ferrari, Gaetano M.

Published
2022
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24. Can we apply the concept of sentinel lymph nodes in rectal cancer surgery?

Author

Ammirati, Carlo Alberto, Arezzo, Alberto, Gaetani, Clara, Strazzarino, Giulio Antonio, Faletti, Riccardo, Bergamasco, Laura, Barisone, Francesca, Fonio, Paolo, and Morino, Mario

Subjects
PREOPERATIVE period, LYMPHATIC massage, RESEARCH funding, SENTINEL lymph nodes, COLORECTAL cancer, RETROSPECTIVE studies, MAGNETIC resonance imaging, CANCER patients, DESCRIPTIVE statistics, RECTUM tumors, MEDICAL records, ACQUISITION of data, TUMOR classification
Abstract

Introduction: Colorectal cancer remains one of the most common causes of cancer-related mortality worldwide, and lymph node staging is crucial in the diagnostic and therapeutic process. Sentinel lymph nodes are the first involved in this process, but their validity in colorectal surgery has not yet been established. Following the emergence of new imaging instrumentation, some authors have attempted to propose different techniques for lymph node identification. However, a clear pattern of mesorectal lymph node distribution relative to the primary lesion site has yet to be defined. Material and methods: Our analysis retrospectively reviewed suspicious mesorectal pathological lymph nodes on pre-operative magnetic resonance imaging (MRI) of rectal cancer patients, in order to assess the distribution patterns of possible tumour-related rectal lymph nodes. Mesorectal space was subdivided into quadrants and levels, and morphological features and distances from the lymph node to the primary rectal tumour were recorded. Results: Two hundred and fifty-five mesorectal lymph nodes distributed among 60 patients were collected. Results show that in 92.1% of cases, nodes were distributed in the same mesorectal quadrant as the rectal primary tumour, and in 88.5% of cases, they were found at the same level as the rectal primary tumour. Conclusions: Although a clear node distribution pattern was not established, these results may suggest at least a lymphatic drainage preference lane, worthy of further investigation. [ABSTRACT FROM AUTHOR]

Published
2024
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25. Correction to: Effectiveness and Safety of Different Vascular Closure Devices: Multicentre Prospective Observational Study

Author

Ierardi, Anna Maria, Coppola, Andrea, Renzulli, Matteo, Piacentino, Filippo, Fontana, Federico, Paladini, Andrea, Guzzardi, Giuseppe, Semeraro, Vittorio, Di Stasi, Carmine, Giurazza, Francesco, Niola, Raffaella, Stefanini, Matteo, Contegiacomo, Andrea, Carrubba, Claudio, Discalzi, Andrea, Ciferri, Fernanda, Carriero, Serena, Lanza, Carolina, Biondetti, Pierpaolo, Coniglio, Giovanni, Fonio, Paolo, Venturini, Massimo, Carrafiello, Gianpaolo, and Del Giudice, Costantino

Published
2023
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27. Different profiles of acute graft pyelonephritis among kidney recipients from standard or elderly donors

Author

Tarragoni, Rita, primary, Congiu, Giovanni, additional, Mella, Alberto, additional, Augelli, Giovanni, additional, Fop, Fabrizio, additional, Dolla, Caterina, additional, Gallo, Ester, additional, Di Vico, Maria Cristina, additional, Faletti, Riccardo, additional, Bosio, Andrea, additional, Gontero, Paolo, additional, Costa, Cristina, additional, Cavallo, Rossana, additional, Mariano, Filippo, additional, Corcione, Silvia, additional, De Rosa, Francesco Giuseppe, additional, Fonio, Paolo, additional, and Biancone, Luigi, additional

Published
2024
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28. Emergency room comprehensive assessment of demographic, radiological, laboratory and clinical data of patients with COVID-19: determination of its prognostic value for in-hospital mortality

Author

Gatti, Marco, Calandri, Marco, Biondo, Andrea, Geninatti, Carlotta, Piatti, Clara, Ruggirello, Irene, Santonocito, Ambra, Varello, Sara, Bergamasco, Laura, Bironzo, Paolo, Boccuzzi, Adriana, Brazzi, Luca, Caironi, Pietro, Cardinale, Luciano, Cavallo, Rossana, Riccardini, Franco, Limerutti, Giorgio, Veltri, Andrea, Fonio, Paolo, and Faletti, Riccardo

Published
2022
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29. Percutaneous management of postoperative Bile leak after hepato-pancreato-biliary surgery: a multi-center experience

Author

Mosconi, Cristina, Calandri, Marco, Mirarchi, Mariateresa, Vara, Giulio, Breatta, Andrea D., Cappelli, Alberta, Brandi, Nicolò, Paccapelo, Alexandro, De Benedittis, Caterina, Ricci, Claudio, Sassone, Mirian, Ravaioli, Matteo, Fronda, Marco, Cucchetti, Alessandro, Petrella, Enrico, Casadei, Riccardo, Cescon, Matteo, Romagnoli, Renato, Ercolani, Giorgio, Giampalma, Emanuela, Righi, Dorico, Fonio, Paolo, and Golfieri, Rita

Published
2021
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34. Prognostic risk factors for loss of patency after femoropopliteal bailout stenting with dual-component stent: results from the TIGRIS Italian Multicenter Registry

Author

Ruffino, Maria Antonella, Fronda, Marco, Bergamasco, Laura, Natrella, Massimiliano, Fanelli, Gianluca, Bellosta, Raffaello, Pegorer, Matteo, Attisani, Luca, Ruggiero, Massimo, Malfa, Pierantonio, Patane’, Domenico, Lucatelli, Pierleone, Corona, Mario, Ricci, Carmelo, Candeloro, Laura, Ferri, Michelangelo, Varello, Sara, Gibello, Lorenzo, Veraldi, Gian Franco, Mezzetto, Luca, and Fonio, Paolo

Published
2021
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36. Identification of A0 minimum ablative margins for colorectal liver metastases: multicentre, retrospective study using deformable CT registration and artificial intelligence-based autosegmentation.

Author

Paolucci, Iwan, Albuquerque Marques Silva, Jessica, Lin, Yuan-Mao, Laimer, Gregor, Cignini, Valentina, Menchini, Francesca, Meira, Marcio, Shieh, Alexander, O'Connor, Caleb, Jones, Kyle A, Gazzera, Carlo, Fonio, Paolo, Brock, Kristy K, Calandri, Marco, Menezes, Marcos, Bale, Reto, and Odisio, Bruno C

Subjects
COLORECTAL liver metastasis, ARTIFICIAL intelligence, IMAGE registration, DISEASE progression, CATHETER ablation
Abstract

Background: Several ablation confirmation software methods for minimum ablative margin assessment have recently been developed to improve local outcomes for patients undergoing thermal ablation of colorectal liver metastases. Previous assessments were limited to single institutions mostly at the place of development. The aim of this study was to validate the previously identified 5 mm minimum ablative margin (A0) using autosegmentation and biomechanical deformable image registration in a multi-institutional setting. Methods: This was a multicentre, retrospective study including patients with colorectal liver metastases undergoing CT- or ultrasound-guided microwave or radiofrequency ablation during 2009–2022, reporting 3-year local disease progression (residual unablated tumour or local tumour progression) rates by minimum ablative margin across all institutions and identifying an intraprocedural contrast-enhanced CT-based minimum ablative margin associated with a 3-year local disease progression rate of less than 1%. Results: A total of 400 ablated colorectal liver metastases (median diameter of 1.5 cm) in 243 patients (145 men; median age of 62 [interquartile range 54–70] years) were evaluated, with a median follow-up of 26 (interquartile range 17–40) months. A total of 119 (48.9%) patients with 186 (46.5%) colorectal liver metastases were from international institutions B, C, and D that were not involved in the software development. Three-year local disease progression rates for 0 mm, >0 and <5 mm, and 5 mm or larger minimum ablative margins were 79%, 15%, and 0% respectively for institution A (where the software was developed) and 34%, 19%, and 2% respectively for institutions B, C, and D combined. Local disease progression risk decreased to less than 1% with an intraprocedurally confirmed minimum ablative margin greater than 4.6 mm. Conclusion: A minimum ablative margin of 5 mm or larger demonstrates optimal local oncological outcomes. It is proposed that an intraprocedural minimum ablative margin of 5 mm or larger, confirmed using biomechanical deformable image registration, serves as the A0 for colorectal liver metastasis thermal ablation. The aim of this study was to validate the previously identified 5 mm minimum ablative margin (A0) after thermal ablation of colorectal liver metastases using biomechanical deformable image registration and autosegmentation in a multi-institutional setting. This retrospective study included patients with colorectal liver metastases undergoing CT- or ultrasound-guided microwave or radiofrequency ablation during 2009–2022 from four institutions (the institution where the software was developed and three international institutions that were not involved with software development). Three-year local disease progression rates for 0 mm, <0 and <5 mm, and 5 mm or larger minimum ablative margins were 79%, 15%, and 0% respectively for the institution where the software was developed and 34%, 19%, and 2% respectively for the three other institutions combined. [ABSTRACT FROM AUTHOR]

Published
2024
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38. Baseline chest X-ray in coronavirus disease 19 (COVID-19) patients: association with clinical and laboratory data

Author

Gatti, Marco, Calandri, Marco, Barba, Matteo, Biondo, Andrea, Geninatti, Carlotta, Gentile, Stephanie, Greco, Marta, Morrone, Vittorio, Piatti, Clara, Santonocito, Ambra, Varello, Sara, Bergamasco, Laura, Cavallo, Rossana, Di Stefano, Rosario, Riccardini, Franco, Boccuzzi, Adriana, Limerutti, Giorgio, Veltri, Andrea, Fonio, Paolo, and Faletti, Riccardo

Published
2020
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45. Optimisation of protection in the medical exposure of recurrent adult patients due to computed tomography procedures: development of recurrent exposures reference levels

Author

Bramilla, Marco, primary, Berton, Luca, additional, Balzano, Rosario F., additional, Cannillo, Barbara, additional, Carriero, Alessandro, additional, Chauvie, Stephane, additional, Gallo, Teresa, additional, Cornacchia, Samantha, additional, Cutaia, Claudia, additional, D’Alessio, Andrea, additional, Emanuele, Roberto, additional, Fonio, Paolo, additional, Matheoud, Roberta, additional, Stasi, Michele, additional, Talenti, Alberto, additional, and Rampado, Osvaldo, additional

Published
2023
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