Hasil Pencarian - Saima Mushtaq, MD

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  1. 1
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    Reply oleh Gerardo Vito Lo Russo, MD, Mauro Pepi, MD, Saima Mushtaq, MD, Valentina Mantegazza, MD, Fabrizio Celeste, MD

    Diterbitkan 2023-09-01
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  2. 2
    Relationship Between Myocardial Blood Flow and Myocardial Strain Using stress Cardiac Magnetic Resonance

    Relationship Between Myocardial Blood Flow and Myocardial Strain Using stress Cardiac Magnetic Resonance oleh Caroline Carter, BSc, Shuo Wang, MD, Ming-Yen Ng, Haonan Wang, Amita Singh, MD, Jason Sin, Saima Mushtaq, MD, Gianluca Pontone, MD, PhD, Hena Patel, MD, Victor Goh, MD, Pooja Patil, MD, PhD, Cristiane de Carvalho Singulane, MD, MSc, Ruyun Jin, MD, Martin Janich, PhD, Amit Patel, MD

    Diterbitkan 2024-01-01
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  3. 3
    Stress Computed Tomography Perfusion versus Stress Cardiac Magnetic Resonance for the Management of Suspected or Known Coronary Artery Disease: Resources and Outcomes Impact - The STRATEGY II Study

    Stress Computed Tomography Perfusion versus Stress Cardiac Magnetic Resonance for the Management of Suspected or Known Coronary Artery Disease: Resources and Outcomes Impact - The... oleh Andrea Baggiano, MD, Riccardo Maragna, MD, Marco Guglielmo, MD, Saima Mushtaq, MD, Andrea Annoni, MD, Alberto Formenti, MD, Maria Mancini, MD, Laura Fusini, MD, MSc, Alessandra Volpe, MD, Luigi Tassetti, MD, Francesca Marchetti, MD, Daniele Junod, MD, Fabio Fazzari, MD, Francesco Cannata, MD, Alberico Del Torto, MD, Andrea Guaricci, MD, PhD, Gianluca Pontone, MD, PhD

    Diterbitkan 2024-01-01
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  4. 4
    Plasma Exosomes Refl Ect Myocardial Injury Detected by Cardiac Magnetic Resonance in STEMI Patients

    Plasma Exosomes Refl Ect Myocardial Injury Detected by Cardiac Magnetic Resonance in STEMI Patients oleh Andrea Baggiano, MD, Marta Zarà, PhD, Cristina Banfi, PhD, Jeness Campodonico, MD, Calogero Tedesco, PhD, Patrizia Amadio, PhD, Sebastiano Gili, MD, Gianluca De Dona, PhD, Leonardo Sandrini, PhD, Riccardo Maragna, MD, Daniele Junod, MD, Laura Fusini, MD, MSc, Saima Mushtaq, MD, Fabio Fazzari, MD, Giancarlo Marenzi, MD, Gianluca Pontone, MD, PhD, Silvia Barbieri, PhD

    Diterbitkan 2024-01-01
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  5. 5
    Predicting Cardiac Mass Malignancy Through Multiparametric Cardiac Magnetic Resonance

    Predicting Cardiac Mass Malignancy Through Multiparametric Cardiac Magnetic Resonance oleh Pasquale Paolisso, MD, Anna Giulia Pavon, MD, Luca Bergamaschi, MD, Francesco Angeli, MD, Marta Belmonte, MD, Alberto Foà, MD, PhD, Lisa Canton, MD, Damiano Fedele, MD, Matteo Armillotta, MD, Angelo Sansonetti, MD, Francesca Bodega, MD, Sara Amicone, MD, Nicole Suma, MD, Emanuele Gallinoro, MD, PhD, Domenico Attinà, MD, Fabio Niro, MD, Luigi Lovato, MD, Paola Rucci, MD, Elisa Gherbesi, MD, Stefano Carugo, MD, Saima Mushtaq, MD, Andrea Baggiano, MD, Marco Guglielmo, MD, Edoardo Conte, MD, Daniele Andreini, Gianluca Pontone, MD, PhD, Carmine Pizzi, MD

    Diterbitkan 2024-01-01
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  6. 6
    Deep Learning-based Quantification of Epicardial Adipose Tissue Volume in Stress CMR Predicts Major Adverse Cardiovascular Events in Patients with Known or Suspected Coronary Artery Disease

    Deep Learning-based Quantification of Epicardial Adipose Tissue Volume in Stress CMR Predicts Major Adverse Cardiovascular Events in Patients with Known or Suspected Coronary Arter... oleh Marco Guglielmo, MD, Marco Penso, Maria Ludovica Carerj, MD, Carlo maria Giacari, MD, Alessandra Volpe, MD, Laura Fusini, MD, MSc, Andrea Baggiano, MD, Saima Mushtaq, MD, Andrea Annoni, MD, Francesco Cannata, MD, Francesco Cilia, Alberico Del Torto, MD, Fabio Fazzari, MD, Alberto Formenti, Antonio Frappampina, Paola Gripari, Daniele Junod, Maria Mancini, MD, Valentina Mantegazzaa, Riccardo Maragna, MD, Francesca Marchetti, MD, Giorgio mastroiacovo, Sergio Pirola, Luigi Tassetti, MD, Francesca Baessato, Valentina Corino, Andrea Guaricci, MD, PhD, Alexia Rossi, Chiara Rovera, Ivo van der Bilt, MD, PhD, Pim van der Harst, Marianna Fontana, MD, PhD, Enrico Gianluca Caiani, Mauro Pepi, Gianluca Pontone

    Diterbitkan 2024-01-01
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  7. 7
    Unveiling the Distinctive Phenotypes of Arrhythmic Mitral Valve Prolapse by High-density Myocardial Strain Imaging and Late-gadolinium-enhancement Microstructure Analysis

    Unveiling the Distinctive Phenotypes of Arrhythmic Mitral Valve Prolapse by High-density Myocardial Strain Imaging and Late-gadolinium-enhancement Microstructure Analysis oleh Silvana Di Maio, MD, Hassan Zaidi, Bert Vandenberk, Stefano Censi, Stefano Figliozzi, MD, Lara Tondi, MD, Massimo Lombardi, MD, Giovanni Donato Aquaro, Daniele Andreini, Klemens B Bauer, Silvana Di Maio, Angelo Squeri, MD, Camilla Torlasco, Laura Galian, Saima Mushtaq, MD, José F Rodríguez Palomares, Oksana Marchenko, Gianluca Pontone, MD, PhD, Lorenzo Monti, MD, Anna Giulia Pavon, MD, Arco J Teske, Anca Florian, Eustachio Agricola, Marco Francone, MD, PhD, Luigi P Badano, Ali Yilmaz, Juerg Schwitter, MD, PhD, Georgios Georgiopoulos, MD, PhD, MSc, Pablo Lamata, Julia Grapsa, Tim Leiner, MD, PhD, Jan Bogaert, MD, PhD, Martin Bishop, PhD, Pier Giorgio Masci, MD

    Diterbitkan 2024-01-01
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  8. 8
    Diagnostic Accuracy of Global Stress Myocardial Blood Flow for the Detection of Obstructive Coronary Artery Disease: findings FBom the AQUA-MBF Study

    Diagnostic Accuracy of Global Stress Myocardial Blood Flow for the Detection of Obstructive Coronary Artery Disease: findings FBom the AQUA-MBF Study oleh Shuo Wang, MD, Paul Kim, MD, Haonan Wang, Ming-Yen Ng, Amita Singh, MD, Saima Mushtaq, MD, Jason Sin, Yuko Tada, MD, PhD, Elizabeth Hillier, MD, PhD, Michael Salerno, MD, PhD, Gianluca Pontone, MD, PhD, Javier Urmeneta, MD, Ibrahim Saeed, MD, Hena Patel, MD, Christian Østergaard Mariager, PhD, Victor Goh, MD, Simon Madsen, MD, Mayil Singram Krishnam, MD, Vicente Martinez, MD, Alicia Maceira, MD, PhD, FSCMR, José Vicente Monmeneu Menadas, MD, PhD, Aju Pazhenkottil, MD, Alborz Amir-Khalili, PhD, Ruyun Jin, MD, Mitchel Benovoy, Martin Janich, PhD, Andrew E Arai, Matthias Gero Friedrich, MD, Amit Patel, MD

    Diterbitkan 2024-01-01
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  9. 9
    Arrhythmic Mitral Valve Prolapse Phenotype: An Unsupervised Machine-learning Analysis Using a Multi-center Registry

    Arrhythmic Mitral Valve Prolapse Phenotype: An Unsupervised Machine-learning Analysis Using a Multi-center Registry oleh Stefano Figliozzi, MD, Ralph Kwame Akyea, PhD, Pedro M Lopes, MD, Sara Moura-Ferreira, MD, Lara Tondi, MD, Saima Mushtaq, MD, Stefano Censi, Anna Giulia Pavon, MD, Ilaria Bassi, Laura Galian, Arco J Teske, Domenico Filomena, Camilla Torlasco, Pierre Monney, MD, Viviana Maestrini, MD, PhD, Patrizia Pedrotti, MD, Bert Vandenberk, Angelo Squeri, MD, Massimo Lombardi, MD, Juerg Schwitter, MD, PhD, Giovanni Donato Aquaro, Amedeo Chiribiri, PhD, MB, FSCMR, José F Rodríguez Palomares, Lorenzo Monti, MD, Ali Yilmaz, Daniele Andreini, Anca Florian, Marco Francone, MD, PhD, Gianluca Pontone, MD, PhD, Joao Abecassis, MD, Tim Leiner, MD, PhD, Luigi P Badano, Jan Bogaert, MD, PhD, Georgios Georgiopoulos, MD, PhD, MSc, Pier Giorgio Masci, MD

    Diterbitkan 2024-01-01
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