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4 results on '"Rolando Del Maestro"'

1. Neurosurgery Case Review: Questions and Answers

Author

Christian A. Bowers, Flavio Giordano, Faisal Abdulhamid Farrash, Pascal M. Jabbour, Alan Siu, Ramez Malak, Donald C. Shields, Unwar Ul-Haq, Jared J. Marks, Francisco Sanz, Achal Patel, Edward C. Benzel, Nabeel S. Alshafai, Hasel W. Slone, Jason S. Goldberg, Fahad Eid Alotaibi, Mohammad Almubaslat, Kamlesh B. Patel, Glenn C. Hunter, Anna Zicca, Michel Lacroix, Ibrahim Althubaiti, H. Francis Farhadi, Ahmed Mohyeldin, Robert L. Tiel, Homoud Aldahash, Claude-Edouard Châtillon, Franco DeMonte, Ossama Al-Mefty, Roberto Rafael Herrera, Nicholas J. Erickson, Nazer H. Qureshi, André Beer-Furlan, Judith Marcoux, Abdulrahman Yaqub Alturki, Ahmed Alaqeel, Badih Daou, Turki Elarjani, Sandeep Mittal, Kathleen E. Knudson, Alvin Chan, Amin B. Kassam, Kelsey A. Walsh, Mohammed Alghamd, Alfio Spina, Richard Bucholz, Fred Gentili, Marguerite Harding, Ricardo L. Carrau, Alwin Camacho, Pablo González-López, Faisal Al-Otaibi, Cristian Gragnaniello, Abdulrahman J. Sabbagh, Asem Salma, Stephen J. Hentschel, Joung H. Lee, Fahad AlKherayf, Rory Mayer, Rihaf Algain, John Woulfe, Stephen M. Russell, Han Zhuang Beh, Perry S. Bradford, Andrew Smith, Frederick Boop, Jorge E. Isaza, Vishal Patel, Eddie Perkins, Abdulrahman Albakr, Ibrahim Omeis, Christopher D. Baggott, Kevin Petrecca, Bassem Yousef Sheikh, Shaymaa Al-Umran, Michele Bailo, Jonathon Lebovitz, Pratap Chand, Edgar Gerardo Ordóñez-Rubiano, Aaron S. Gaekwad, Mohammed Almekhlafi, Jonathan Yun, Dimitri Sigounas, Julius July, Joseph A. Shehadi, Gustavo D. Luzardo, Ennio Antonio Chiocca, Shaan M. Raza, Alberto L. Gallotti, Anup Aggarwal, Ali Luqman, Mohammad A. Aziz-Sultan, Isabella Esposito, Eka Julianta Wahjoepramono, Imad N. Kanaan, Abdulrazag Ajlan, Hosam Al-Jehani, Brian Gill, Jaime Gasco, Brian Seaman, William T. Couldwell, José Luis Ledesma, Gary L. Gallia, Ananth K. Vellimana, Mark G. Hamilton, Da’Marcus Baymon, Almunder Algird, Evan S. Marlin, Ahmad I. Lary, Rudiger Von Ritschl, Afnan Uthman Alkhotani, Kevin Phan, Ayman Abdullah Albanyan, Essam A. Al Shail, Joshua Loewenstein, Mohammad Misfer Alshardan, Denis Klironomos, Ehtesham Ghani, Hector P. Rojas, Jeffery Atkinson, Matthew D. Smyth, Eldad J. Hadar, Erol Veznedaroglu, Mark A. Mahan, Qasim Al Hinai, Iván Verdú-Martínez, Peter J. Mews, Mohamed A. Labib, Randy L. Jensen, Rahul Shah, Amal Mokeem, Rolando Del Maestro, Denis Sirhan, Albert M. Isaacs, José Luis Montes, Mariam Alrashid, Jason Tullis, Hussam Abou-Al-Shaar, Justin Reagan, Daniel S. Ikeda, Pietro Mortini, David Sinclair, Hubert Lee, Mazda K. Turel, Michael S. Taccone, Alexander Y. Lin, Stephano Chang, Patrick Kim, Paul Steinbok, Luke G. F. Smith, Sami Obaid, Ashwag Al-Qurashi, Andrew Shaw, Abdul Haseeb Naeem, Exequiel P. Verdier, Ahmed Jaman Alzahrani, Lahbib A. Soualmi, Remi Nader, Ralph J. Mobbs, Soha Abdu M. Alomar, Mohammed Saeed Bafaqeeh, Zachary N. Litvack, Weston T. Northam, Joaquin Hidalgo, Robert F. Keating, Amgad S. Hanna, Jared Fridley, Bassam M. J. Addas, Monish Maharaj, Diana Ghinda, Daniel M. Prevedello, John S. Myseros, Lorenzo Genitori, Layla Batarfi, Khalid N. Almusrea, Samer K. Elbabaa, Adam Sauh Gee Wu, Anthony M. T. Chau, Naif M. Alotaibi, Saleh S. Baeesa, Kimberly Hamilton, Franz L. Ricklefs, Hashem Al Hashemi, Lissa Marie Peeling, Gareth Rutter, Sohum Desai, Philippe Mercier, Daniel Branch, Jorge E. Alvernia, Craig C. Weinkauf, Sunil Kukreja, Michel W. Bojanowski, Paul W. Gidley, Reem Bunyan, Domenic P. Esposito, Salah Baz, Randall C. Edgell, Christopher Evan Stewart, Burak Sade, Frank Gerold, Ali Alwadei, Nancy McLaughlin, Christopher J. Winfree, Terence Verla, Marc-Elie Nader, Andrew Jea, Filippo Gagliardi, Jean-Pierre Farmer, Giuliana Rizzo, Jeffrey P. Mullin, Ahmed T. Abdelmoity, Eric P. Roger, Anish Sen, Ivona Nemeiko, Mahmoud AlYamany, Anthony J. Caputy, Peter Nakaji, Nirmeen Zagzoog, Charles B. Agbi, Khalid Bajunaid, Matthew Pierson, Juan Ortega-Barnett, Justine Pearl, Maqsood Ahmad, Abdulmajeed Alahmari, and Robert A. Moumdjian

Subjects
Questions and answers, medicine.medical_specialty, Medical education, business.industry, medicine, Neurosurgery, business, Neuroscience, Case review
Published
2020

2. Development of the McGill Simulator for Endoscopic Sinus Surgery: A New High-fidelity Virtual Reality Simulator for Endoscopic Sinus Surgery

Author

Rickul, Varshney, Saul, Frenkiel, Lily H P, Nguyen, Meredith, Young, Rolando, Del Maestro, Anthony, Zeitouni, Marc A, Tewfik, and R, DiRaddo

Subjects
medicine.medical_specialty, Virtual reality simulator, MEDLINE, technical abilities, Otolaryngology, Paranasal Sinuses, Humans, Immunology and Allergy, Medicine, resident, rhinology, Computer Simulation, minimally invasive surgery, education, training, Modalities, business.industry, nasal model, General surgery, Internship and Residency, Endoscopy, General Medicine, performance metrics, simulation, Surgery, Endoscopic sinus surgery, Otorhinolaryngology, virtual reality, haptic, Clinical Competence, Clinical competence, business, endoscopic sinus surgery
Abstract

Background The technical challenges of endoscopic sinus surgery (ESS) and the high risk of complications support the development of alternative modalities to train residents in these procedures. Virtual reality simulation is becoming a useful tool for training the skills necessary for minimally invasive surgery; however, there are currently no ESS virtual reality simulators available with valid evidence supporting their use in resident education. Our aim was to develop a new rhinology simulator, as well as to define potential performance metrics for trainee assessment. Methods The McGill simulator for endoscopic sinus surgery (MSESS), a new sinus surgery virtual reality simulator with haptic feedback, was developed (a collaboration between the McGill University Department of Otolaryngology–Head and Neck Surgery, the Montreal Neurologic Institute Simulation Lab, and the National Research Council of Canada). A panel of experts in education, performance assessment, rhinology, and skull base surgery convened to identify core technical abilities that would need to be taught by the simulator, as well as performance metrics to be developed and captured. Results The MSESS allows the user to perform basic sinus surgery skills, such as an ethmoidectomy and sphenoidotomy, through the use of endoscopic tools in a virtual nasal model. The performance metrics were developed by an expert panel and include measurements of safety, quality, and efficiency of the procedure. Conclusion The MSESS incorporates novel technological advancements to create a realistic platform for trainees. To our knowledge, this is the first simulator to combine novel tools such as the endonasal wash and elaborate anatomic deformity with advanced performance metrics for ESS.

Published
2014

3. Validation of a hybrid Doppler ultrasound vessel-based registration algorithm for neurosurgery

Author

D. Rolando Del Maestro, Sean Jy-Shyang Chen, Laurence Mercier, Charles X. B. Yan, Pierrick Coupé, D. Louis Collins, Ingerid Reinertsen, McConnell Brain Imaging Centre (MNI), Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Stiftelsen for INdustriell og TEknisk Forskning Digital [Trondheim] (SINTEF Digital), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB), and McGill University = Université McGill [Montréal, Canada]

Subjects
Male, MESH: Magnetic Resonance Angiography, 02 engineering and technology, Neurosurgical Procedures, 030218 nuclear medicine & medical imaging, Intraoperative Period, 0302 clinical medicine, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, Computer vision, MESH: Aged, MESH: Middle Aged, medicine.diagnostic_test, Phantoms, Imaging, Brain, General Medicine, Middle Aged, Computer Graphics and Computer-Aided Design, Computer Science Applications, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Preoperative Period, cardiovascular system, MESH: Neuronavigation, 020201 artificial intelligence & image processing, Female, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Computer Vision and Pattern Recognition, Algorithm, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Algorithms, Adult, Biomedical Engineering, Health Informatics, MESH: Algorithms, MESH: Preoperative Period, Article, 03 medical and health sciences, MESH: Brain, medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, Radiology, Nuclear Medicine and imaging, Neuronavigation, Aged, MESH: Intraoperative Period, MESH: Humans, business.industry, Brain shift, Mr angiography, Magnetic resonance imaging, Ultrasonography, Doppler, MESH: Adult, MESH: Neurosurgical Procedures, MESH: Male, MESH: Phantoms, Imaging, MESH: Ultrasonography, Doppler, Surgery, Artificial intelligence, Doppler ultrasound, business, MESH: Female, Magnetic Resonance Angiography
Abstract

International audience; PURPOSE: We describe and validate a novel hybrid nonlinear vessel registration algorithm for intra-operative updating of preoperative magnetic resonance (MR) images using Doppler ultrasound (US) images acquired on the dura for the correction of brain-shift and registration inaccuracies. We also introduce an US vessel appearance simulator that generates vessel images similar in appearance to that acquired with US from MR angiography data. METHODS: Our registration uses the minimum amount of preprocessing to extract vessels from the raw volumetric images. This prevents the removal of important registration information and minimizes the introduction of artifacts that may affect robustness, while reducing the amount of extraneous information in the image to be processed, thus improving the convergence speed of the algorithm. We then completed 3 rounds of validation for our vessel registration method for robustness and accuracy using (i) a large number of synthetic trials generated with our US vessel simulator, (ii) US images acquired from a real physical phantom made from polyvinyl alcohol cryogel, and (iii) real clinical data gathered intra-operatively from 3 patients. RESULTS: Resulting target registration errors (TRE) of less than 2.5 mm are achieved in more than 90 % of the synthetic trials when the initial TREs are less than 20 mm. TREs of less than 2 mm were achieved when the technique was applied to the physical phantom, and TREs of less than 3 mm were achieved on clinical data. CONCLUSIONS: These test trials show that the proposed algorithm is not only accurate but also highly robust to noise and missing vessel segments when working with US images acquired in a wide range of real-world conditions.

Published
2012

4. Intradural spinal hematoma in an infant with cystic fibrosis

Author

Edward Ecclestone, George G. Hinton, Douglas W. Zochodne, Rolando Del Maestro, and Robert Coates

Subjects
Male, medicine.medical_specialty, Cord, Spinal hematoma, Cystic Fibrosis, Chest physiotherapy, Cystic fibrosis, Hematoma, Developmental Neuroscience, Spinal cord compression, Coagulopathy, medicine, Humans, Myelography, business.industry, Infant, Subarachnoid Hemorrhage, medicine.disease, Surgery, Hematoma, Subdural, Neurology, Pediatrics, Perinatology and Child Health, Subdural bleeding, Neurology (clinical), business, Spinal Cord Compression
Abstract

An 8-month-old male infant with cystic fibrosis developed quadriplegia secondary to spinal cord compression. Surgery revealed an extensive intradural hematoma from C3 to T9. An underlying structural source of bleeding was not identified and the patient did not have a coagulopathy. Repeated chest physiotherapy was the only known trauma that the infant had sustained. Spinal subarachnoid and subdural bleeding is a rare form of cord compression that apparently has not been described previously in association with cystic fibrosis. The current vigorous physiotherapeutic approach to cystic fibrosis necessitates awareness of the possible complications of this therapy.

Published
1986

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