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Background: We aimed to assess the efficacy of augmented reality technology assisted by three-dimensional (3D) computed tomography (CT) reconstruction, in facilitating microvascular decompression (MVD) during craniotomy for hemifacial spasm.
Methods: A retrospective analysis was conducted on 80 patients who underwent MVD for hemifacial spasm at Hebei General Hospital between January 2, 2020, and March 24, 2021. Among them, 43 patients received traditional craniotomy (assigned to the traditional group), while 37 patients underwent modified craniotomy (assigned to the modified group). The distinctive feature in the modified group involved employing 3D-CT reconstruction assisted by augmented reality technology, specifically utilizing Sina software, for precise localization of scalp incision. The impact of the modified method on surgery was assessed based on operation time, incision length, postoperative complications, long-term efficacy, and patient-reported outcomes.
Results: No significant differences in age, sex, disease duration, and disease side were observed between the two groups (P > 0.05). The modified group exhibited a significantly shorter average craniotomy time (29.68 ± 4.89 min vs. 34.19 ± 4.55 min, P < 0.001) and time to close the skull (25.22 ± 3.12 min vs. 28.95 ± 2.54 min, P < 0.001) compared to the traditional group. Additionally, the incision length in the modified group (59.69 ± 10.71 mm) was evidently lower than that in the traditional group (70.84 ± 11.27 mm, P < 0.001). The overall rate of any postoperative complication was significantly lower in the modified group (5.4%) compared to the traditional group (23.3%; P = 0.018). While overall immediate postoperative complication rates were not statistically different, the modified group showed a trend towards fewer complications, particularly no CSF leakage. At 1-year follow-up, the modified group had a lower spasm recurrence rate (2.7% vs. 7.0%, P = 0.348), significantly lower postoperative pain scores at 7 days (VAS: 2.8 ± 0.9 vs. 3.6 ± 1.1, P = 0.002), and higher patient satisfaction (94.6% vs. 86.0%, P = 0.184).
Conclusion: Employing 3D-CT reconstruction assisted by augmented reality technology in MVD for hemifacial spasm significantly improves surgical efficiency, is associated with favorable long-term outcomes, and enhances patient-reported satisfaction, suggesting its potential value for clinical application and potentially contributing to enhanced safety, particularly in reducing specific complications like CSF leakage.
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http://dx.doi.org/10.1186/s12893-025-03026-0 | DOI Listing |
Ergonomics
September 2025
Shenzhen Research Institute, City University of Hong Kong, Shenzhen, China.
Augmented reality (AR) integrates virtual objects in the real world, allowing users to interact intuitively with navigation information. This study systematically reviewed 13 articles on AR technology published from 2005 to 2024 through meta-analysis, comprising a total of 400 participants, to examine its effectiveness in enhancing navigation performance. Compared with traditional navigation tools, the results showed that AR technology more effectively enhances navigation performance, with the overall effect size calculated as 0.
View Article and Find Full Text PDFOrthop Traumatol Surg Res
September 2025
Service de Chirurgie Orthopédique, CHRU de Tours, France - Faculté de Médecine, Université de Tours, France.
Purpose: The potential of mixed reality to improve the accuracy of glenoid preparation pin positioning in shoulder arthroplasty has been previously reported. Another benefit of mixed reality may be its ability to assist junior surgeons in enhancing their precision during prosthetic procedures. The aim of this study was to evaluate and compare the accuracy of glenoid preparation pin positioning between a senior surgeon and a junior surgeon utilizing mixed reality guidance.
View Article and Find Full Text PDFJ Minim Invasive Gynecol
September 2025
Department of Gynecology, Obstetrics and Reproductive Medicine, AP-HM, Pôle femmes parents enfants, Marseille, France.
Objective: To develop a machine learning method for the automatic recognition of endometriosis lesions during laparoscopic surgery and evaluate its feasibility and performance.
Design: Collecting and annotating surgical videos and training, validating, and testing a deep neural network.
Setting: Multicenter proof-of-concept study using surgical videos from expert centers in France, Hungary, Brazil, and Denmark.
Sci Adv
September 2025
Division of Nanomaterials and Chemistry, Hefei National Research Center for Physical Sciences at the Microscale, Department of Chemistry, University of Science and Technology of China, Hefei 230026 China.
Optical-enabled identification and interaction provide an integral link between the digital and physical realms. However, nowadays optic-encodings, predominantly reliant on light's intensity and wavelength, are hindered by environmental light interference and limited information capacity. The introduction of unusual polarization states, such as circular polarization-which is absent from ordinary surroundings-holds promise for higher-dimensional interaction.
View Article and Find Full Text PDFAm J Infect Control
September 2025
Hospital Israelita Albert Einstein, São Paulo, SP, Brazil; University of Iowa, Iowa City, IA, USA; Center for Access & Delivery Research & Evaluation (CADRE), Iowa City Veterans Affairs Health Care System, Iowa City, IA, USA.
Background: Hand hygiene (HH) is essential for infection prevention in healthcare, but the quality of its performance, meaning how well it is done, receives much less attention than compliance. This review examines how HH technique is assessed and can be improved among healthcare providers.
Methods: Following PRISMA guidelines, six databases were searched through May 15, 2025.