scholarly journals Virtual Reality as a Promising Tool Supporting Oncological Treatment in Breast Cancer

2021 ◽  
Vol 18 (16) ◽  
pp. 8768
Author(s):  
Ewa Zasadzka ◽  
Anna Pieczyńska ◽  
Tomasz Trzmiel ◽  
Katarzyna Hojan
Keyword(s):  
Breast Cancer ◽  
Virtual Reality ◽  
Psychological Symptoms ◽  
Pain Syndrome ◽  
Oncological Treatment ◽  
Promising Tool ◽  
Physical Dysfunction ◽  
Physical Functions ◽  
And Performance ◽  
Meta Analyses

Breast cancer (BC) treatment is associated with many physical and psychological symptoms. Psychological distress or physical dysfunction are one of the most common side effects of oncological treatment. Functional dysfunction and pain-related evasion of movement may increase disability in BC. Virtual reality (VR) can offer BC women a safe environment within which to carry out various rehabilitation interventions to patient support during medical procedures. The aim of this systematic review was to conduct an overview of the clinical studies that used VR therapy in BC. The review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines method: the initial search identified a total of 144 records, and 11 articles met the review criteria and were selected for the analysis. The results showed that VR seems to be a promising tool supporting oncological treatment in BC patients. VR can have a positive effect on mental and physical functions, such as relieving anxiety during oncotherapy, diminution pain syndrome, and increasing the range of motion and performance in daily activities.

scholarly journals Virtual Reality for the Treatment of Anxiety Disorders: A Scoping Review

2021 ◽  
Vol 75 (6) ◽  
Author(s):  
Miranda R. Donnelly ◽  
Renee Reinberg ◽  
Kaori L. Ito ◽  
David Saldana ◽  
Meghan Neureither ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Occupational Therapy ◽  
Anxiety Disorders ◽  
Scoping Review ◽  
Body Representation ◽  
Cochrane Library ◽  
Controlled Trials ◽  
Study Selection ◽  
And Performance ◽  
Meta Analyses

Importance: Virtual reality in head-mounted displays (HMD-VR) may be a valuable tool in occupational therapy to address anxiety. Findings from the virtual reality exposure therapy (VRET) literature may facilitate translation of HMD-VR to occupational therapy psychosocial practice. Objective: To explore how HMD-VR has been used to treat anxiety through VRET and could be translated to occupational therapy. Data Sources: We searched seven electronic databases for articles published between 2000 and 2020: CINAHL, Cochrane Library, Embase, ERIC, Ovid MEDLINE, PsycINFO, and Web of Science. Search terms included HMD-VR constructs, products, and therapy concepts. Study Selection and Data Collection: We used Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to report studies implementing VRET to treat anxiety. At least two reviewers assessed each citation, and a third resolved disagreements. Articles were included if they were in English, reported experimental data, and used HMD-VR. Letters, commentaries, book chapters, technical descriptions, theoretical papers, conference proceedings (≤4 pages), and reviews were excluded. Findings: Twenty-eight studies used HMD-VR to treat posttraumatic stress disorder (n = 3), specific phobias (n = 19), and performance-based social anxiety (n = 6); protocols and levels of evidence varied (randomized controlled trials, n = 11; controlled trials without randomization, n = 6; case–control or cohort studies, n = 11). Qualitative examination indicates HMD-VR is an effective treatment tool. Conclusions and Relevance: HMD-VR can be a valuable tool for occupational therapy to simulate environments where clients with anxiety disorders participate. Eliciting presence through multisensory features and body representation may enhance outcomes. What This Article Adds: Drawing from the VRET literature, this scoping review suggests that HMD-VR can be used by occupational therapy practitioners to simulate ecologically valid environments, evaluate client responses to fearful stimuli, and remediate anxiety though immersion in virtual tasks when participation in natural contexts is unfeasible. Having ecologically valid environments is particularly important for people with anxiety disorders because they need support to cope when they encounter triggers in everyday life environments.

Augmented Reality--Implications toward Virtual Reality, Human Perception and Performance

2012 ◽  
Author(s):  
R. A. Grier ◽  
H. Thiruvengada ◽  
S. R. Ellis ◽  
P. Havig ◽  
K. S. Hale ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Human Perception ◽  
And Performance

THE LEVEL OF CYTOKINES IN THE SALIVA OF PATIENTS WITH BREAST CANCER

2019 ◽  
Vol 65 (6) ◽  
pp. 825-831
Author(s):  
Lyudmila Belskaya ◽  
Viktor Kosenok
Keyword(s):  
Breast Cancer ◽  
Control Group ◽  
Early Stages ◽  
Promising Tool ◽  
Urgent Task ◽  
Advanced Stages ◽  
New Biomarkers ◽  
Histological Verification ◽  
Control Study ◽  
Biochemical Examination

Currently, the urgent task is to search for new biomarkers as a promising tool for early detection and monitoring of breast cancer. The aim of the study was to study the level of cytokines in the saliva of patients with breast cancer. In the case-control study volunteers participated, which were divided into 3 groups: the main (breast cancer, n = 43), the comparison group (fibroadenoma, n = 32) and the control group (conditionally healthy, n = 39). All participants were questioned; biochemical examination of saliva, histological verification of the diagnosis was carried out. Intergroup differences are estimated by a nonparametric criterion. It is shown that in the context of breast cancer, the level of cytokines (IL-2, IL-4, IL-6, IL-10 and IL-18) is increasing, except for IL-8, the content of which decreases compared to the control group. When the disease progresses by the nature of the dynamics, the parameters are divided into two groups: IL-2, IL-4, IL-18 and IL-6, IL-8, IL-10. For the first group of cytokines, there was a decrease in content during the transition from the early stages to the more common ones. For the second group, when passing from stages T1-2N0M0 to T1-2NjM0, the level of cytokines remains practically constant. In the future, the level of cytokines is observed for stage T3_4N0_2M0, and for IL-2, IL-4 and IL-10, the level of cytokines reaches values corresponding to early stages, whereas for IL-6, IL-8 and IL-18 in the same direction, a significant increase in indicators was noted. Additionally, the IL-6/IL-8 ratio was calculated depending on the tumor size, as well as the presence / absence of metastasis. It is shown that this ratio is statistically significantly increased in the advanced stages of the disease. Particularly interesting is the increase in this ratio in saliva at the initial stages of the disease.

An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set

2020 ◽  
Vol 16 ◽  
Author(s):  
Inzamam Mashood Nasir ◽  
Muhammad Rashid ◽  
Jamal Hussain Shah ◽  
Muhammad Sharif ◽  
Muhammad Yahiya Haider Awan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
State Of The Art ◽  
Hybrid Approach ◽  
Classification Performance ◽  
Diagnose Breast Cancer ◽  
Histopathological Images ◽  
And Performance ◽  
Learned Features ◽  
Intelligent Healthcare

Background: Breast cancer is considered as the most perilous sickness among females worldwide and the ratio of new cases is expanding yearly. Many researchers have proposed efficient algorithms to diagnose breast cancer at early stages, which have increased the efficiency and performance by utilizing the learned features of gold standard histopathological images. Objective: Most of these systems have either used traditional handcrafted features or deep features which had a lot of noise and redundancy, which ultimately decrease the performance of the system. Methods: A hybrid approach is proposed by fusing and optimizing the properties of handcrafted and deep features to classify the breast cancer images. HOG and LBP features are serially fused with pretrained models VGG19 and InceptionV3. PCR and ICR are used to evaluate the classification performance of proposed method. Results: The method concentrates on histopathological images to classify the breast cancer. The performance is compared with state-of-the-art techniques, where an overall patient-level accuracy of 97.2% and image-level accuracy of 96.7% is recorded. Conclusion: The proposed hybrid method achieves the best performance as compared to previous methods and it can be used for the intelligent healthcare systems and early breast cancer detection.

Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review

2020 ◽  
Vol 16 ◽  
Author(s):  
Saliha Zahoor ◽  
Ikram Ullah Lali ◽  
Muhammad Attique Khan ◽  
Kashif Javed ◽  
Waqar Mehmood
Keyword(s):  
Breast Cancer ◽  
Computer Aided Diagnosis ◽  
Diagnose Breast Cancer ◽  
Initial Stage ◽  
Computer Aided ◽  
Diagnosis And Classification ◽  
And Performance ◽  
Tools And Techniques ◽  
Aided Diagnosis

: Breast Cancer is a common dangerous disease for women. In the world, many women died due to Breast cancer. However, in the initial stage, the diagnosis of breast cancer can save women's life. To diagnose cancer in the breast tissues there are several techniques and methods. The image processing, machine learning and deep learning methods and techniques are presented in this paper to diagnose the breast cancer. This work will be helpful to adopt better choices and reliable methods to diagnose breast cancer in an initial stage to survive the women's life. To detect the breast masses, microcalcifications, malignant cells the different techniques are used in the Computer-Aided Diagnosis (CAD) systems phases like preprocessing, segmentation, feature extraction, and classification. We have been reported a detailed analysis of different techniques or methods with their usage and performance measurement. From the reported results, it is concluded that for the survival of women’s life it is essential to improve the methods or techniques to diagnose breast cancer at an initial stage by improving the results of the Computer-Aided Diagnosis systems. Furthermore, segmentation and classification phases are challenging for researchers for the diagnosis of breast cancer accurately. Therefore, more advanced tools and techniques are still essential for the accurate diagnosis and classification of breast cancer.

scholarly journals Virtual Reality in Neurorehabilitation: An Umbrella Review of Meta-Analyses

2021 ◽  
Vol 10 (7) ◽  
pp. 1478
Author(s):  
Alexandra Voinescu ◽  
Jie Sui ◽  
Danaë Stanton Fraser
Keyword(s):  
Virtual Reality ◽  
Cerebral Palsy ◽  
Brain Injury ◽  
Upper Limb ◽  
Umbrella Review ◽  
High Quality ◽  
Quality Of Evidence ◽  
Upper Limb Function ◽  
Meta Analyses

Neurological disorders are a leading cause of death and disability worldwide. Can virtual reality (VR) based intervention, a novel technology-driven change of paradigm in rehabilitation, reduce impairments, activity limitations, and participation restrictions? This question is directly addressed here for the first time using an umbrella review that assessed the effectiveness and quality of evidence of VR interventions in the physical and cognitive rehabilitation of patients with stroke, traumatic brain injury and cerebral palsy, identified factors that can enhance rehabilitation outcomes and addressed safety concerns. Forty-one meta-analyses were included. The data synthesis found mostly low- or very low-quality evidence that supports the effectiveness of VR interventions. Only a limited number of comparisons were rated as having moderate and high quality of evidence, but overall, results highlight potential benefits of VR for improving the ambulation function of children with cerebral palsy, mobility, balance, upper limb function, and body structure/function and activity of people with stroke, and upper limb function of people with acquired brain injury. Customization of VR systems is one important factor linked with improved outcomes. Most studies do not address safety concerns, as only nine reviews reported adverse effects. The results provide critical recommendations for the design and implementation of future VR programs, trials and systematic reviews, including the need for high quality randomized controlled trials to test principles and mechanisms, in primary studies and in meta-analyses, in order to formulate evidence-based guidelines for designing VR-based rehabilitation interventions.

scholarly journals Role of occupational therapy in musicians’ health: a scoping review protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e040922
Author(s):  
Bethany Villas ◽  
Uira Duarte Wisnesky ◽  
Sandra Campbell ◽  
Lauren Slavik ◽  
Amynah S. Mevawala ◽  
...  
Keyword(s):  
Occupational Therapy ◽  
Scoping Review ◽  
Health Conditions ◽  
Study Selection ◽  
Increased Risk ◽  
Scoping Reviews ◽  
Review Protocol ◽  
And Performance ◽  
Meta Analyses

Review question/objectiveThe purpose of this proposed review is twofold: first, to understand the role of occupational therapy presented in the musicians’ health literature; and second, to explore the potential for this role.IntroductionThe intense movement, awkward postures, concentration and emotional communication required of musicians can place them at increased risk of music-related health conditions, such as musculoskeletal disorders and performance anxiety. The development of music-related health conditions can be emotionally and financially devastating. The role of occupational therapy in musicians’ health has been previously discussed; however, no rigorous reviews of the scholarly literature have been published. We will, therefore, undertake a scoping review with the following research questions: (1) what is known about the role of occupational therapy in instrumental musicians’ health? and (2) what is the potential role of occupational therapy in musicians’ health?Methods and analysisA preliminary search of Medline, CINAHL, SCOPUS and Web of Science was previously undertaken by the first author to determine the extent of the research on this topic and to confirm that no other reviews have been conducted or are in progress. Study selection and analysis will follow the Joanna Briggs Institute and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews guidelines for conducting a scoping review.Ethics and disseminationFormal ethics approval is not required at our institution for a review of published literature. The results of this review will be shared through peer-reviewed publications, conference presentations and traditional and social media.

scholarly journals Augmented Reality, Virtual Reality and Artificial Intelligence in Orthopedic Surgery: A Systematic Review

2021 ◽  
Vol 11 (7) ◽  
pp. 3253
Author(s):  
Umile Giuseppe Longo ◽  
Sergio De Salvatore ◽  
Vincenzo Candela ◽  
Giuliano Zollo ◽  
Giovanni Calabrese ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Virtual Reality ◽  
Augmented Reality ◽  
Orthopaedic Surgery ◽  
Resident Training ◽  
Comprehensive Search ◽  
Virtual And Augmented Reality ◽  
Orthopaedic Training ◽  
Meta Analyses

Background: The application of virtual and augmented reality technologies to orthopaedic surgery training and practice aims to increase the safety and accuracy of procedures and reducing complications and costs. The purpose of this systematic review is to summarise the present literature on this topic while providing a detailed analysis of current flaws and benefits. Methods: A comprehensive search on the PubMed, Cochrane, CINAHL, and Embase database was conducted from inception to February 2021. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to improve the reporting of the review. The Cochrane Risk of Bias Tool and the Methodological Index for Non-Randomized Studies (MINORS) was used to assess the quality and potential bias of the included randomized and non-randomized control trials, respectively. Results: Virtual reality has been proven revolutionary for both resident training and preoperative planning. Thanks to augmented reality, orthopaedic surgeons could carry out procedures faster and more accurately, improving overall safety. Artificial intelligence (AI) is a promising technology with limitless potential, but, nowadays, its use in orthopaedic surgery is limited to preoperative diagnosis. Conclusions: Extended reality technologies have the potential to reform orthopaedic training and practice, providing an opportunity for unidirectional growth towards a patient-centred approach.

scholarly journals Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 26
Author(s):  
David González-Ortega ◽  
Francisco Javier Díaz-Pernas ◽  
Mario Martínez-Zarzuela ◽  
Míriam Antón-Rodríguez
Keyword(s):  
Virtual Reality ◽  
Comparative Analysis ◽  
Driving Simulator ◽  
Estimation Method ◽  
Estimation Methods ◽  
Gaze Estimation ◽  
Driving Simulators ◽  
Oculus Rift ◽  
Gaze Patterns ◽  
And Performance

Driver’s gaze information can be crucial in driving research because of its relation to driver attention. Particularly, the inclusion of gaze data in driving simulators broadens the scope of research studies as they can relate drivers’ gaze patterns to their features and performance. In this paper, we present two gaze region estimation modules integrated in a driving simulator. One uses the 3D Kinect device and another uses the virtual reality Oculus Rift device. The modules are able to detect the region, out of seven in which the driving scene was divided, where a driver is gazing at in every route processed frame. Four methods were implemented and compared for gaze estimation, which learn the relation between gaze displacement and head movement. Two are simpler and based on points that try to capture this relation and two are based on classifiers such as MLP and SVM. Experiments were carried out with 12 users that drove on the same scenario twice, each one with a different visualization display, first with a big screen and later with Oculus Rift. On the whole, Oculus Rift outperformed Kinect as the best hardware for gaze estimation. The Oculus-based gaze region estimation method with the highest performance achieved an accuracy of 97.94%. The information provided by the Oculus Rift module enriches the driving simulator data and makes it possible a multimodal driving performance analysis apart from the immersion and realism obtained with the virtual reality experience provided by Oculus.

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