Systematic Review of Intraoperative Blood Salvage in the Surgical Management of Craniosynostosis

FACE ◽  
2022 ◽  
pp. 273250162110722
Author(s):  
Shelby Nathan ◽  
Michelle Shang ◽  
Russell Reid
Keyword(s):  
Systematic Review ◽  
Surgical Management ◽  
Current Literature ◽  
Literature Search ◽  
Cranial Vault ◽  
Blood Salvage ◽  
Primary Literature ◽  
Secondary Objective ◽  
Intraoperative Blood Salvage

Introduction/Background: The purpose of this systematic review is to assess the literature regarding complications associated with intraoperative blood salvage (IOBS) in the setting of surgical management of craniosynostosis. Methods: A systematic review was performed using PubMed/MEDLINE by 2 independent reviewers which included any primary literature investigating the use of IOBS in the surgical management of craniosynostosis. Results: The literature search resulted in 354 initial articles. After removing duplicates and articles not written in English, 330 articles underwent title review, resulting in 25 papers for abstract review. A total of 24 manuscripts were reviewed and 9 were deemed appropriate for inclusion of this systematic review. Two of the nine articles mentioned complications as a secondary objective. Conclusion: There is a paucity of current literature measuring the complications of IOBS in craniosynostosis patients undergoing cranial vault reconstruction.

Systematic Review Comparing Open versus Endoscopic Surgery in Clival Chordomas and a 10-Year Single-Center Experience

2021 ◽  
Author(s):  
Ravindran Visagan ◽  
Asfand Baig Mirza ◽  
Mohamed Okasha ◽  
Timothy Martyn Boardman ◽  
Eleni Maratos ◽  
...  
Keyword(s):  
Systematic Review ◽  
Surgical Management ◽  
Open Surgery ◽  
Literature Search ◽  
Optimal Management ◽  
Total Resection ◽  
Single Center Experience ◽  
Institutional Experience ◽  
Open Versus ◽  
Slow Growing

Abstract Objectives Chordomas are rare, slow-growing, and osteo-destructive tumors of the primitive notochord. There is still contention in the literature as to the optimal management of chordoma. We conducted a systematic review of the surgical management of chordoma along with our 10-year institutional experience. Design A systematic search of the literature was performed in October 2020 by using MEDLINE and EMBASE for articles relating to the surgical management of clival chordomas. We also searched for all adult patients surgically treated for primary clival chordomas at our institute between 2009 and 2019. Participants Only articles describing chordomas arising from the clivus were included in the analysis. For our institution experience, only adult primary clival chordoma cases were included. Main Outcome Measures Patients were divided into endoscopic or open surgery. Rate of gross total resection (GTR), recurrence, and complications were measured. Results Our literature search yielded 24 articles to include in the study. Mean GTR rate among endoscopic cases was 51.9% versus 41.7% for open surgery. Among the eight cases in our institutional experience, we found similar GTR rates between endoscopic and open surgery. Conclusion Although there is clear evidence in the literature that endoscopic approaches provide better rates of GTR with fewer overall complications compared to open surgery. However, there are still situations where endoscopy is not viable, and thus, open surgery should still be considered if required.

scholarly journals Electromechanical and Robotic Devices for Gait and Balance Rehabilitation of Children with Neurological Disability: A Systematic Review

2021 ◽  
Vol 11 (24) ◽  
pp. 12061
Author(s):  
Nicola Valè ◽  
Marialuisa Gandolfi ◽  
Laura Vignoli ◽  
Anita Botticelli ◽  
Federico Posteraro ◽  
...  
Keyword(s):  
Systematic Review ◽  
Literature Search ◽  
Cochrane Library ◽  
Future Research ◽  
Limited Attention ◽  
Rehabilitation Protocols ◽  
Primary Literature ◽  
Robotic Devices ◽  
Balance Rehabilitation ◽  
Neurological Disabilities

In the last two decades, a growing interest has been focused on gait and balance robot-assisted rehabilitation in children with neurological disabilities. Robotic devices allow the implementation of intensive, task-specific training fostering functional recovery and neuroplasticity phenomena. However, limited attention has been paid to the protocols used in this research framework. This systematic review aims to provide an overview of the existing literature on robotic systems for the rehabilitation of gait and balance in children with neurological disabilities and their rehabilitation applications. The literature search was carried out independently and synchronously by three authors on the following databases: MEDLINE, Cochrane Library, PeDro, Institute of Electrical and Electronics Engineers, ScienceDirect, and Google Scholar. The data collected included three subsections referring to clinical, technical, and regulatory aspects. Thirty-one articles out of 81 found on the primary literature search were included in the systematic review. Most studies involved children with cerebral palsy. Only one-third of the studies were randomized controlled trials. Overall, 17 devices (nine end-effector systems and eight exoskeletons) were investigated, among which only 4 (24%) were bore the CE mark. Studies differ on rehabilitation protocols duration, intensity, and outcome measures. Future research should improve both rehabilitation protocols’ and devices’ descriptions.

scholarly journals Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review

2021 ◽  
Vol 18 (8) ◽  
pp. 4287
Author(s):  
Jelena Musulin ◽  
Sandi Baressi Šegota ◽  
Daniel Štifanić ◽  
Ivan Lorencin ◽  
Nikola Anđelić ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Systematic Review ◽  
Open Access ◽  
Current Literature ◽  
Literature Search ◽  
Disease Spread ◽  
Daily Lives ◽  
Comprehensive Review ◽  
Regression Methods

COVID-19 is one of the greatest challenges humanity has faced recently, forcing a change in the daily lives of billions of people worldwide. Therefore, many efforts have been made by researchers across the globe in the attempt of determining the models of COVID-19 spread. The objectives of this review are to analyze some of the open-access datasets mostly used in research in the field of COVID-19 regression modeling as well as present current literature based on Artificial Intelligence (AI) methods for regression tasks, like disease spread. Moreover, we discuss the applicability of Machine Learning (ML) and Evolutionary Computing (EC) methods that have focused on regressing epidemiology curves of COVID-19, and provide an overview of the usefulness of existing models in specific areas. An electronic literature search of the various databases was conducted to develop a comprehensive review of the latest AI-based approaches for modeling the spread of COVID-19. Finally, a conclusion is drawn from the observation of reviewed papers that AI-based algorithms have a clear application in COVID-19 epidemiological spread modeling and may be a crucial tool in the combat against coming pandemics.

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