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Colback AA, Velazquez-Castro O, Agarrado M, Reddy R, Strong EB, Wilson M, Strong EB. Evaluating Mixed Reality as a Tool for Patient Education of Facial Fractures. Facial Plast Surg Aesthet Med 2024. [PMID: 38530099 DOI: 10.1089/fpsam.2023.0302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024] Open
Abstract
Background: Patients may be educated about facial fractures using two-dimensional computed tomography (2DCT); however, three-dimensional mixed reality (3DMR) goggles may improve patient education by delivering content in an immersive environment. Objective: To compare the effectiveness of 2DCT and 3DMR formats used for patient education on facial fractures, as measured by surveys. Methods: In this prospective, randomized, crossover study, video tutorials intended for facial fracture informed consent were created in 2DCT and 3DMR formats from a single CT data set of a zygomaticomaxillary complex (ZMC) fracture. Subjects were randomly assigned into two groups. Group 1 (n = 25) viewed the 2DCT tutorial, answered self-assessment and information recall surveys, viewed the 3DMR tutorial, repeated the prior surveys as well as a comparison survey. Group 2 (n = 25) followed the same sequence but viewed the 3DMR tutorial and then the 2DCT tutorial. Results: Participants (n = 50) had no differences in age (group 1-51.9 years/standard deviation [SD] 20.9; group 2-44.7 years/SD 17.6 years; p = 0.223), gender (group 1-10 male/15 female; group 2-11 male/14 female; p = 0.999), college education level (group 1-25 yes; group 2-25 yes; p = 0.844), or prior 2DCT or 3DMR experience (group 1-9 yes/16 no; group 2-13 yes/12 no; p = 0.393). The 3DMR format was preferred over 2DCT (p < 0.05), and it was reported to enhance understanding as compared to 2DCT (p < 0.05). No differences for information recall were noted (p = 0.753). Conclusion: In this study, participants preferred 3DMR goggles over 2DCT for a simulated ZMC fracture-informed consent.
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Affiliation(s)
- Angela A Colback
- University of California, Davis-School of Medicine, Sacramento, California, USA
| | | | - Michael Agarrado
- University of California, Davis-School of Medicine, Sacramento, California, USA
| | - Renuka Reddy
- Department of Otolaryngology-Head and Neck Surgery, University of California, Davis, Sacramento, California, USA
| | - E Brandon Strong
- Department of BioEngineering, University of California, Berkeley, Berkeley, California, USA
| | - Machelle Wilson
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, Davis, California, USA
| | - E Bradley Strong
- Department of Otolaryngology-Head and Neck Surgery, University of California, Davis, Sacramento, California, USA
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Wang LJ, Casto B, Reyes-Molyneux N, Chance WW, Wang SJ. Smartphone-based augmented reality patient education in radiation oncology. Tech Innov Patient Support Radiat Oncol 2024; 29:100229. [PMID: 38293267 PMCID: PMC10825366 DOI: 10.1016/j.tipsro.2023.100229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 12/06/2023] [Accepted: 12/08/2023] [Indexed: 02/01/2024] Open
Abstract
We built an augmented reality (AR) patient education application for portable iOS and Android devices that allows patients to view a virtual simulation of themselves receiving radiation treatment. We created software that reads data from the clinical treatment planning system and renders the patient's actual radiotherapy plan in AR on a tablet or smartphone. The patient's CT simulation data are converted into a 3D translucent virtual human shown being treated with visible radiation beams from a virtual linear accelerator. We conducted a patient study to determine if showing patients this AR simulation improves patient understanding of radiotherapy and/or reduces anxiety about treatment. A total of 75 patients completed this study. The most common plans were 3D breast tangents and intensity modulated radiotherapy lung plans. Patients were administered questionnaires both before and after their AR viewing experience. After their AR viewing, 95% of patients indicated that they had a better understanding of how radiotherapy will be used to treat their cancer. Of the 35 patients who expressed anxiety about radiotherapy beforehand, 21 (60%) indicated that they had decreased anxiety after the AR session. In our single-arm prospective patient study, we found that this simplified low-cost tablet-based personalized AR simulation can be a helpful educational tool for cancer patients undergoing radiotherapy.
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Affiliation(s)
- Liam J. Wang
- Johns Hopkins University, Baltimore, MD 21218, United States
| | - Brian Casto
- Department of Radiation Oncology, Salem Health, 895 Oak St SE, Salem, OR 97301, United States
| | - Nancy Reyes-Molyneux
- Department of Radiation Oncology, Salem Health, 895 Oak St SE, Salem, OR 97301, United States
| | - William W. Chance
- Department of Radiation Oncology, Salem Health, 895 Oak St SE, Salem, OR 97301, United States
| | - Samuel J. Wang
- Department of Radiation Oncology, Salem Health, 895 Oak St SE, Salem, OR 97301, United States
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Dacanay DA, Belcher LS, Cassia L, Thompson R, Lutner N. Enhancing preadmission patient education via video instruction. Nursing 2023; 53:46-50. [PMID: 37856301 DOI: 10.1097/01.nurse.0000978868.57686.0b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Affiliation(s)
- David A Dacanay
- David A. Dacanay, Jr. , is the Magnet Program Specialist for Thomas Jefferson University Hospitals in Philadelphia, Pa.; Lorraine S. Belcher is the nurse manager for the Acute Care for Elders (ACE) unit and the headache unit at Jefferson Methodist Hospital in Philadelphia, Pa.; Lisa Cassia serves as a clinical practice leader for the headache unit; Regan Thompson is the coordinator of patient care services for the headache unit; and Nancy Lutner is a clinical nurse and the transition nurse for the headache unit
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Arias-Amezquita E, Alkureishi L, Purnell C, Zhao L, Lee O, Mathis SA, Patel PK, Cohen M. Virtual Reality Planning in Reconstructive Surgery for Orbital Prosthetic Rehabilitation Using ImmersiveTouch Platform: Preliminary Report. J Craniofac Surg 2023:00001665-990000000-01138. [PMID: 37889858 DOI: 10.1097/scs.0000000000009794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/01/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND/PURPOSE Virtual reality (VR) is emerging as an effective and intuitive surgical planning and 3D visualization tool. Digital surgical planning is the gold standard for planning the placement of implants in maxillofacial prosthetics, but the field lacks a platform exclusively designed to perform the task. Virtual reality planning (VRP) specific for maxillofacial prosthetics offers the clinician improved control of the presurgical planning and the potential to limit the need to adapt other advanced segmentation software. Furthermore, the virtual plan can be directly translated to the patient through custom 3D printed (3DP) surgical guides and visual aids. To the best of our knowledge, this article outlines the development of the world's first virtual reality planning platform and workflow for pre-operatory planning within a VR environment for clinical use specific to facial prosthetics and anaplastology. METHOD The workflow was applied to managing 2 patients presenting with unilateral total exenteration and severe contracture enucleation, respectively (n=2). A cone-beam CT was acquired for each patient, and their data set was directly imported into the ImmersiveView Surgical Plan VR environment (ImmersiveTouch Inc, Chicago, IL). The clinicians virtually selected appropriately sized craniofacial implants and placed the implants in the desired orientation. Various measurement tools are available to aid in clinical decision-making. The ideal location of craniofacial implants was set according to an orbital and auricular prosthetic reconstruction. The resultant VR plan was exported for 3DP. The patients were evaluated preoperatively and postoperatively using the proposed VRP treatment. The workflow's data accuracy was validated postoperatively by comparing posterative CT data and the proposed VRP. Analysis was performed using Mimics software (Materialise, Leuven, Belgium). RESULT It takes, on average, 10 minutes to place 4 implants in the virtual reality space. The 3DP files resulting from VRP take ~2 hours to print and are constructed with a biocompatible resin appropriate for clinical use as surgical guides. Our user-friendly VRP workflow allows for an accurate simulation of surgical and nonsurgical procedures with an average displacement in XYZ of 0.6 mm and an SD of 0.3 mm. In addition, VRP is an excellent tool to simulate the craniofacial placement procedure and improves unsupervised self-learning teaching. CONCLUSION VRP is an exciting tool for training clinicians and students in complex surgical procedures. This study shows the promising applicability and efficiency of VR in clinical planning and management of facial rehabilitation. Patients allowed to interact with VR have been engaged, which would aid their treatment acceptance and patient education. A valuable advantage of surgical simulation is the reduced costs associated with renting instruments, buying implant dummies, and surgical hardware. The authors will explore VR to plan and treat surgical and nonsurgical reconstructive procedures and improve soft tissue manipulation. This study outlines the development of an original platform and workflow for segmentation, preoperative planning, and digital design within a VR environment and the clinical use in reconstructive surgery and anaplastology.
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Affiliation(s)
- Eduardo Arias-Amezquita
- Department of Surgery, The Craniofacial Center, Division of Plastic, Cosmetic, and Reconstructive Surgery, The University of Illinois, Chicago, IL
| | - Lee Alkureishi
- Department of Surgery, The Craniofacial Center, Division of Plastic, Cosmetic, and Reconstructive Surgery, The University of Illinois, Chicago, IL
| | - Chad Purnell
- Department of Surgery, The Craniofacial Center, Division of Plastic, Cosmetic, and Reconstructive Surgery, The University of Illinois, Chicago, IL
| | - Linping Zhao
- Department of Surgery, The Craniofacial Center, Division of Plastic, Cosmetic, and Reconstructive Surgery, The University of Illinois, Chicago, IL
| | - Olivia Lee
- The University of Illinois College of Medicine, Chicago, IL
| | | | - Pravin K Patel
- Department of Surgery, The Craniofacial Center, Division of Plastic, Cosmetic, and Reconstructive Surgery, The University of Illinois, Chicago, IL
| | - Mimis Cohen
- Department of Surgery, The Craniofacial Center, Division of Plastic, Cosmetic, and Reconstructive Surgery, The University of Illinois, Chicago, IL
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Technology Behavior Model—Impact of Extended Reality on Patient Surgery. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12115607] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Smart surgery is a new way to utilize smart devices to change existing surgeries. Smart glasses can enhance the surgical procedure so that the patient can understand the procedure more intuitively. Surgery is for patients, and patient acceptance of extended reality surgery is the purpose of this study. This study uses the technology behavior model, which is more in line with the user’s assessment of the acceptance behavior of the new technology. A triangulated research approach was used, which applies to this study for a specific patient population. Primary data were collected from hospitals through questionnaires and were statistically analyzed by CB&PLS-SEM multimodel using SmartPLS software. It was concluded that patients were influenced by operational emotional factors in undergoing extended reality surgery. The study provides a basis for future research related to the practical application of smart surgery from the patient’s perspective in viewing and accepting surgery.
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