Advantages of a Training Course for Surgical Planning in Virtual Reality for Oral and Maxillofacial Surgery: Crossover Study

Virtual reality for preoperative patient education: Impact on satisfaction, usability, and burnout from the perspective of new nurses

BACKGROUND

Traditional paper-based preoperative patient education is a struggle for new nurses and requires extensive training. In this situation, virtual reality technology can help the new nurses. Despite its potential benefits, there are studies on patient satisfaction but there is limited information on the usability of virtual reality (VR) technology for new nurses in giving preoperative education to patients.

AIM

To investigate the impact on satisfaction, usability, and burnout of a system using VR technology in preoperative patient education.

METHODS

The study involved 20 nurses from the plastic surgery ward and 80 patients admitted between April and May 2019. Each nurse taught four patients: Two using traditional verbal education and two using virtual reality. The System Usability Scale, After-Scenario Questionnaire, and Maslach Burnout Inventory (MBI) were employed to evaluate the impact of these education methods.

RESULTS

The VR education groups showed a statistically higher satisfaction than the traditional verbal education groups. Among the three subscales of the MBI, emotional exhaustion and personal accomplishment improved statistically significantly. VR was also better in terms of usability.

CONCLUSION

This study suggests VR enhances usability and reduces burnout in nurses, but further research is needed to assess its impact on depersonalization and objective measures like stress and heart rate.

A bidirectional framework for fracture simulation and deformation-based restoration prediction in pelvic fracture surgical planning

Pelvic fracture is a severe trauma with life-threatening implications. Surgical reduction is essential for restoring the anatomical structure and functional integrity of the pelvis, requiring accurate preoperative planning. However, the complexity of pelvic fractures and limited data availability necessitate labor-intensive manual corrections in a clinical setting. We describe in this paper a novel bidirectional framework for automatic pelvic fracture surgical planning based on fracture simulation and structure restoration. Our fracture simulation method accounts for patient-specific pelvic structures, bone density information, and the randomness of fractures, enabling the generation of various types of fracture cases from healthy pelvises. Based on these features and on adversarial learning, we develop a novel structure restoration network to predict the deformation mapping in CT images before and after a fracture for the precise structural reconstruction of any fracture. Furthermore, a self-supervised strategy based on pelvic anatomical symmetry priors is developed to optimize the details of the restored pelvic structure. Finally, the restored pelvis is used as a template to generate a surgical reduction plan in which the fragments are repositioned in an efficient jigsaw puzzle registration manner. Extensive experiments on simulated and clinical datasets, including scans with metal artifacts, show that our method achieves good accuracy and robustness: a mean SSIM of 90.7% for restorations, with translational errors of 2.88 mm and rotational errors of 3.18°for reductions in real datasets. Our method takes 52.9 s to complete the surgical planning in the phantom study, representing a significant acceleration compared to standard clinical workflows. Our method may facilitate effective surgical planning for pelvic fractures tailored to individual patients in clinical settings.

Characterizing the untapped potential of virtual reality in plastic and reconstructive surgical training: A systematic review on skill transferability

Virtual reality (VR) integration into surgical education has gained immense traction by invigorating skill-building in ways that are unlike the traditional modes of training. This systematic review unites current literature relevant to VR in surgical education to showcase tool transferability, and subsequent impact on knowledge acquisition, skill development, and technological innovation. This review followed the PRISMA guidelines and included three databases. Among the 1926 studies that were screened, 31 studies met the inclusion criteria. ChatGPT assisted in generating variables for data extraction, and the authors reached unanimous consensus on 13 variables that provided a framework for assessing VR attributes. Surgical simulation was examined in 26 studies (83.9%). VR applications incorporated anatomy visualization (83.9%), procedure planning (67.7%), skills assessment (64.5%), continuous learning (41.9%), haptic feedback (41.9%), research and innovation (41.9%), case-based learning (22.6%), improved skill retention (19.4%), reduction of stress and anxiety (16.1%), and remote learning (12.9%). No instances of VR integration addressed patient communication or team-based training. Novice surgeons benefited the most from VR simulator experience, improving their confidence and accuracy in tackling complex procedural tasks, as well as decision-making efficiency. Enhanced dexterity compared to traditional modes of surgical training was also notable. VR confers significant potential as an adjunctive teaching method in plastic and reconstructive surgery (PRS). Studies demonstrate the utility of virtual simulation in knowledge acquisition and skill development, though they lack targeted approaches for augmenting training related to collaboration and patient communication. Given the underrepresentation of PRS among surgical disciplines regarding VR implementation in surgical education, longitudinal curriculum integration and PRS-specific technologies should be further investigated.

Fetal heart segmentation in a virtual reality environment

This study presents the initial results of a pilot project using the Elucis Virtual Reality (VR) platform for fetal heart segmentation. Twelve fetal heart cases, ranging in gestational age from 24 to 30 weeks, including various cardiac conditions, were reconstructed using 3D models facilitated by the Elucis platform's integration of automated algorithms and manual adjustments. The models, which were evaluated by four experts in virtual and 3D printed formats, were of high quality and offered improved visuospatial visualization and detailed anatomical insights. This research highlights the potential of VR technology to improve prenatal diagnosis and planning for complex cardiac conditions, suggesting significant implications for continuing medical education and clinical practice in fetal cardiology.

Application of artificial intelligence-assisted image diagnosis software based on volume data reconstruction technique in medical imaging practice teaching

BACKGROUND

In medical imaging courses, due to the complexity of anatomical relationships, limited number of practical course hours and instructors, how to improve the teaching quality of practical skills and self-directed learning ability has always been a challenge for higher medical education. Artificial intelligence-assisted diagnostic (AISD) software based on volume data reconstruction (VDR) technique is gradually entering radiology. It converts two-dimensional images into three-dimensional images, and AI can assist in image diagnosis. However, the application of artificial intelligence in medical education is still in its early stages. The purpose of this study is to explore the application value of AISD software based on VDR technique in medical imaging practical teaching, and to provide a basis for improving medical imaging practical teaching.

METHODS

Totally 41 students majoring in clinical medicine in 2017 were enrolled as the experiment group. AISD software based on VDR was used in practical teaching of medical imaging to display 3D images and mark lesions with AISD. Then annotations were provided and diagnostic suggestions were given. Also 43 students majoring in clinical medicine from 2016 were chosen as the control group, who were taught with the conventional film and multimedia teaching methods. The exam results and evaluation scales were compared statistically between groups.

RESULTS

The total skill scores of the test group were significantly higher compared with the control group (84.51 ± 3.81 vs. 80.67 ± 5.43). The scores of computed tomography (CT) diagnosis (49.93 ± 3.59 vs. 46.60 ± 4.89) and magnetic resonance (MR) diagnosis (17.41 ± 1.00 vs. 16.93 ± 1.14) of the experiment group were both significantly higher. The scores of academic self-efficacy (82.17 ± 4.67) and self-directed learning ability (235.56 ± 13.50) of the group were significantly higher compared with the control group (78.93 ± 6.29, 226.35 ± 13.90).

CONCLUSIONS

Applying AISD software based on VDR to medical imaging practice teaching can enable students to timely obtain AI annotated lesion information and 3D images, which may help improve their image reading skills and enhance their academic self-efficacy and self-directed learning abilities.

Impact of virtual surgical planning and three-dimensional modeling on time to surgery in mandibular reconstruction by free fibula flap

PURPOSE

Mandible reconstruction using a free fibula flap (FFF) is preferably performed with virtual surgical planning (VSP) to potentially improve functional and aesthetic outcomes. However, VSP is time-consuming. This study aims to assess the impact of VSP on time to surgery (TS).

MATERIALS AND METHODS

All patients who underwent FFF for oral cavity cancer between 2007 and 2020 were included. Time to surgery (from the date of the first consultation to the surgery date) was compared between patients without VSP and with VSP. In our department, VSP and 3D modeling were performed by an external engineering laboratory.

RESULTS

One hundred sixty-five patients were included retrospectively. VSP was utilized for 90 patients (55%). The mean time to surgery was 31 ± 16 days for patients undergoing conventional surgery without VSP and 44 ± 19 days for patients with VSP (p < 0.001). No clinical or tumoral characteristic were associated with a TS extended, except for the utilization of VSP (p < 0.001). By constituting groups of 25 consecutive patients, there is no difference in TS between the groups.

CONCLUSION

The use of VSP significantly increased the time to surgery in our study, unrelated to clinical differences or year of surgery. This delay may have an impact on oncologic outcomes, so it should be considered in the care organization for each patient. Implementing new procedures to reduce this difference is warranted.