The study aimed to investigate the effect of virtual reality interventions on relieving pain and anxiety in children and adolescents receiving cancer treatment. A search that involved Cochrane Library (comprising Cochrane Central Register of Controlled Trials (CENTRAL)), PubMed, ProQuest, MEDLINE, Web of Sciences, Science Direct, and Scopus electronic databases covering the records from January 1, 2000 up to May, 2023 was conducted to determine randomized controlled trials that could be included in our study. The results of the search were limited to "anxiety and pain, adolescents, children, virtual reality, cancer." Of the 160 articles that were reached during the search, seven were found eligible based on inclusion criteria. Hedges' g effect size was calculated for each article. Random effects model was used to test effect sizes and moderator variables. The registration number of this meta-analysis on PROSPERO is CRD42022304737. The outcomes were pain and anxiety. Compared with standard care, virtual reality had a medium and significant effect on anxiety (g = 0.60, 95% CI: [- 1.05 - 0.15]) and pain (g = - 0.667, 95% CI: [- 1.08- -0.24]). In addition, age has been identified as an important moderator in the use of virtual reality in pain management. This meta-analysis shows that virtual reality applications are effective interventions for reducing pain and anxiety in the field of pediatric oncology. However, it is necessary to carry out randomized controlled trials that have large samples for evidence-based virtual reality applications in pediatric oncology.
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http://dx.doi.org/10.1007/s10916-023-01995-4 | DOI Listing |
Exp Brain Res
January 2025
Institute for Experimental Psychology, Heinrich Heine University Düsseldorf, 40225, Düsseldorf, Germany.
When we touch ourselves, the pressure appears weaker compared to when someone else touches us, an effect known as sensory attenuation. Sensory attenuation is spatially tuned and does only occur if the positions of the touching and the touched body-party spatially coincide. Here, we ask about the contribution of visual or proprioceptive signals to determine self-touch.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Public Health and Sport Sciences, Faculty of Health and Life Sciences, Medical School, University of Exeter, Exeter EX1 2LU, UK.
: To summarize the impact of various telerehabilitation interventions on motor function, balance, gait, activities of daily living (ADLs), and quality of life (QoL) among patients with stroke and to determine the existing telerehabilitation interventions for delivering physiotherapy sessions in clinical practice. : Six electronic databases were searched to identify relevant quantitative systematic reviews (SRs). Due to substantial heterogeneity, the data were analysed narratively.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Oral Pathobiological Science and Surgery, Tokyo Dental College, 2-9-18 Kandamisaki-cho, Chiyoda-ku, Tokyo 101-0061, Japan.
Mandibular gingival squamous cell carcinoma (SCC) is the second most common oral cancer after tongue cancer. As these carcinomas often invade the mandible early, accurately defining the resection extent is important. This report highlights the use of preoperative virtual surgery data, computer-aided design and manufacturing (CAD/CAM) technology, surgical guidance, and extended reality (XR) support in achieving highly accurate marginal mandibulectomy without recurrence or metastasis.
View Article and Find Full Text PDFSensors (Basel)
January 2025
University-Industrial Cooperation Corps of HiVE Center, Wonkwang Health Science University, 514, Iksan-daero, Iksan-si 54538, Republic of Korea.
Virtual reality (VR) technology has gained popularity across various fields; however, its use often induces cybersickness, characterized by symptoms such as dizziness, nausea, and eye strain. This study investigated the differences in cybersickness levels and head movement patterns under three distinct VR viewing conditions: dynamic VR (DVR), static VR (SVR), and a control condition (CON) using a simulator. Thirty healthy adults participated, and their head movements were recorded using the Meta Quest 2 VR headset and analyzed using Python.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Shanxi Key Laboratory of Machine Vision and Virtual Reality, North University of China, Taiyuan 030051, China.
Automatic crack detection is challenging, owing to the complex and thin topologies, diversity, and background noises of cracks. Inspired by the wavelet theory, we present an instance normalization wavelet (INW) layer and embed the layer into the deep model for segmentation. The proposed layer employs prior knowledge in the wavelets to capture the crack features and filter the high-frequency noises simultaneously, accelerating the convergence of model training.
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