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4,183 results on '"Parvizi, Javad"'

3. Haptic-Enhanced Virtual Reality Simulator for Robot-Assisted Femur Fracture Surgery

Author

Alruwaili, Fayez H., Halim-Banoub, David W., Rodgers, Jessica, Dalkilic, Adam, Haydel, Christopher, Parvizi, Javad, Iordachita, Iulian I., and Abedin-Nasab, Mohammad H.

Subjects
Computer Science - Robotics
Abstract

In this paper, we develop a virtual reality (VR) simulator for the Robossis robot-assisted femur fracture surgery. Due to the steep learning curve for such procedures, a VR simulator is essential for training surgeon(s) and staff. The Robossis Surgical Simulator (RSS) is designed to immerse user(s) in a realistic surgery setting using the Robossis system as completed in a previous real-world cadaveric procedure. The RSS is designed to interface the Sigma-7 Haptic Controller with the Robossis Surgical Robot (RSR) and the Meta Quest VR headset. Results show that the RSR follows user commands in 6 DOF and prevents the overlapping of bone segments. This development demonstrates a promising avenue for future implementation of the Robossis system., Comment: This paper is submitted to the IEEE Haptic Symposium 2024

Published
2023

4. Design and Experimental Evaluation of a Haptic Robot-Assisted System for Femur Fracture Surgery

Author

Alruwaili, Fayez H., Clancy, Michael P., Saeedi-Hosseiny, Marzieh S., Logar, Jacob A., Papachristou, Charalampos, Haydel, Christopher, Parvizi, Javad, Iordachita, Iulian I., and Abedin-Nasab, Mohammad H.

Subjects
Computer Science - Robotics
Abstract

In the face of challenges encountered during femur fracture surgery, such as the high rates of malalignment and X-ray exposure to operating personnel, robot-assisted surgery has emerged as an alternative to conventional state-of-the-art surgical methods. This paper introduces the development of Robossis, a haptic system for robot-assisted femur fracture surgery. Robossis comprises a 7-DOF haptic controller and a 6-DOF surgical robot. A unilateral control architecture is developed to address the kinematic mismatch and the motion transfer between the haptic controller and the Robossis surgical robot. A real-time motion control pipeline is designed to address the motion transfer and evaluated through experimental testing. The analysis illustrates that the Robossis surgical robot can adhere to the desired trajectory from the haptic controller with an average translational error of 0.32 mm and a rotational error of 0.07 deg. Additionally, a haptic rendering pipeline is developed to resolve the kinematic mismatch by constraining the haptic controller (user hand) movement within the permissible joint limits of the Robossis surgical robot. Lastly, in a cadaveric lab test, the Robossis system assisted surgeons during a mock femur fracture surgery. The result shows that Robossis can provide an intuitive solution for surgeons to perform femur fracture surgery., Comment: This paper is to be submitted to an IEEE journal

Published
2023

9. Implants

Author

Ghanem, Elie, primary, Parvizi, Javad, additional, and Klatt, Brian A., additional

Published
2024
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19. International Delphi Study on Wound Closure and Incision Management in Joint Arthroplasty Part 2: Total Hip Arthroplasty

Author

Ainslie-Garcia, Margaret, Anderson, Lucas A., Bloch, Benjamin V., Board, Tim N., Chen, Antonia F., Craigie, Samantha, Danker, Walter, Gunja, Najmuddin, Harty, James, Hernandez, Victor H., Lebedeva, Kate, Hameed, Daniel, Mont, Michael A., Nunley, Ryan M., Parvizi, Javad, Perka, Carsten, Piuzzi, Nicolas S., Rolfson, Ola, Rychlik, Joshua, Romanini, Emilio, Sanz-Ruiz, Pablo, Sierra, Rafael J., Suleiman, Linda, Tsiridis, Eleftherios, Vendittoli, Pascal-André, Wangen, Helge, and Zagra, Luigi

Published
2024
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21. International Delphi Study on Wound Closure and Dressing Management in Joint Arthroplasty: Part 1: Total Knee Arthroplasty

Author

Ainslie-Garcia, Margaret, Anderson, Lucas A., Bloch, Benjamin V., Board, Tim N., Chen, Antonia F., Craigie, Samantha, Danker, Walter, Gunja, Najmuddin, Harty, James, Hernandez, Victor H., Lebedeva, Kate, Mont, Michael A., Nunley, Ryan M., Parvizi, Javad, Perka, Carsten, Piuzzi, Nicolas S., Rolfson, Ola, Rychlik, Joshua, Romanini, Emilio, Sanz-Ruiz, Pablo, Sierra, Rafael J., Suleiman, Linda, Tsiridis, Eleftherios, Vendittoli, Pascal-André, Wangen, Helge, and Zagra, Luigi

Published
2024
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25. Microbubble cavitation restores Staphylococcus aureus antibiotic susceptibility in vitro and in a septic arthritis model

Author

Zhao, Neil, Curry, Dylan, Evans, Rachel E., Isguven, Selin, Freeman, Theresa, Eisenbrey, John R., Forsberg, Flemming, Gilbertie, Jessica M., Boorman, Sophie, Hilliard, Rachel, Dastgheyb, Sana S., Machado, Priscilla, Stanczak, Maria, Harwood, Marc, Chen, Antonia F., Parvizi, Javad, Shapiro, Irving M., Hickok, Noreen J., and Schaer, Thomas P.

Published
2023
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31. Identifying Critical Evidence Gaps in Wound Closure and Incision Management After Total Knee Arthroplasty: Delphi Panel Insights

Author

Ainslie-Garcia, Margaret H., Anderson, Lucas A., Bloch, Benjamin V., Board, Tim N., Chen, Antonia F., Craigie, Samantha, Danker, Walter, III, Gunja, Najmuddin, Harty, James, Hernandez, Victor H., Lebedeva, Kate, Hameed, Daniel, Mont, Michael A., Nunley, Ryan M., Parvizi, Javad, Perka, Carsten, Piuzzi, Nicolas S., Rolfson, Ola, Rychlik, Joshua, Romanini, Emilio, Sanz-Ruiz, Pablo, Sierra, Rafael J., Suleiman, Linda, Tsiridis, Eleftherios, Vendittoli, Pascal-André, Wangen, Helge, and Zagra, Luigi

Published
2024
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36. The Effect of the COVID-19 Pandemic on Hip and Knee Arthroplasty Patients in the United States: A Multicenter Update to the Previous Survey

Author

Brown, Timothy S, Bedard, Nicholas A, Rojas, Edward O, Anthony, Christopher A, Schwarzkopf, Ran, Stambough, Jeffrey B, Nandi, Sumon, Prieto, Hernan, Parvizi, Javad, Bini, Stefano A, Higuera, Carlos A, Piuzzi, Nicholas S, Blankstein, Michael, Wellman, Samuel S, Dietz, Matthew J, Jennings, Jason M, Dasa, Vinod, and Committee, AAHKS Research

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Pain Research, Clinical Research, Arthritis, Prevention, Evaluation of treatments and therapeutic interventions, 6.4 Surgery, Musculoskeletal, AAHKS Research Committee, COVID-19, Pandemic, SARS-CoV-2, Surgery cancellation, Total hip arthroplasty, Total knee arthroplasty
Abstract

BackgroundIn March 2020, elective total hip and knee arthroplasty (THA and TKA) were suspended across the United States in response to the COVID-19 pandemic. We had previously published the results of a survey to the affected patients from 6 institutions. We now present the results of a larger distribution of this survey, through May and June 2020, to electively scheduled patients representing different regions of the United States.MethodsFifteen centers identified through the American Association of Hip and Knee Surgeons Research Committee participated in a survey study of THA and TKA patients. Patients scheduled for primary elective THA or TKA but canceled due to the COVID-19 elective surgery stoppage (3/2020-5/2020) were included in the study. Descriptive statistics along with subgroup analysis with Wilcoxon rank were performed.ResultsIn total, surveys were distributed to 2135 patients and completed by 848 patients (40%) from 15 institutions. Most patients (728/848, 86%) had their surgery postponed or canceled by the surgeon or hospital. Unknown length of surgical delay remained the highest source of anxiety among survey participants. Male patients were more likely to be willing to proceed with surgery in spite of COVID-19. There were minimal regional differences in responses. Only 61 patients (7%) stated they will continue to delay surgery for fear of contracting COVID-19 while in the hospital.ConclusionSimilar to the previous study, the most anxiety-provoking thought was the uncertainty, over if and when the canceled joint replacement surgery could be rescheduled. Patients suffering from the daily pain of hip and knee arthritis who have been scheduled for elective arthroplasty remain eager to have their operation as soon as elective surgery is allowed to resume.

Published
2021

42. Pelvis Surface Estimation From Partial CT for Computer-Aided Pelvic Osteotomies

Author

Grupp, Robert, Otake, Yoshito, Murphy, Ryan, Parvizi, Javad, Armand, Mehran, and Taylor, Russell

Subjects
Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

Computer-aided surgical systems commonly use preoperative CT scans when performing pelvic osteotomies for intraoperative navigation. These systems have the potential to improve the safety and accuracy of pelvic osteotomies, however, exposing the patient to radiation is a significant drawback. In order to reduce radiation exposure, we propose a new smooth extrapolation method leveraging a partial pelvis CT and a statistical shape model (SSM) of the full pelvis in order to estimate a patient's complete pelvis. A SSM of normal, complete, female pelvis anatomy was created and evaluated from 42 subjects. A leave-one-out test was performed to characterise the inherent generalisation capability of the SSM. An additional leave-one-out test was conducted to measure performance of the smooth extrapolation method and an existing "cut-and-paste" extrapolation method. Unknown anatomy was simulated by keeping the axial slices of the patient's acetabulum intact and varying the amount of the superior iliac crest retained; from 0% to 15% of the total pelvis extent. The smooth technique showed an average improvement over the cut-and-paste method of 1.31 mm and 3.61 mm, in RMS and maximum surface error, respectively. With 5% of the iliac crest retained, the smoothly estimated surface had an RMS surface error of 2.21 mm, an improvement of 1.25 mm when retaining none of the iliac crest. This anatomical estimation method creates the possibility of a patient and surgeon benefiting from the use of a CAS system and simultaneously reducing the patient's radiation exposure., Comment: CAOS 2015 Extended Paper

Published
2019

44. Mini-Open Approach to the Hip

Author

Yacovelli, Steven, Chen, Antonia F., O’Toole, Patrick, Minori, Joshua, Parvizi, Javad, Stubbs, Allston J., Section editor, Beck, Edward C., Section editor, Nho, Shane J., editor, Bedi, Asheesh, editor, Salata, Michael J., editor, Mather III, Richard C., editor, and Kelly, Bryan T., editor

Published
2022
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