No Microscope? No Problem: A Systematic Review of Microscope-Free Microsurgery Training Models

Author(s):  
Jonlin Chen ◽  
Helen Xun ◽  
Mya Abousy ◽  
Chao Long ◽  
Justin M. Sacks

Abstract Background Benchtop microsurgical training models that use digital tools (smartphones, tablets, and virtual reality [VR]) for magnification are allowing trainees to practice without operating microscopes. This systematic review identifies existing microscope-free training models, compares models in their ability to enhance microsurgical skills, and presents a step-by-step protocol for surgeons seeking to assemble their own microsurgery training model. Methods We queried PubMed, Embase, and Web of Science databases through November 2020 for microsurgery training models and performed a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We collected data including training model characteristics (cost, magnification, and components) and outcomes (trainee satisfaction, image resolution, and faster suturing speed). We also conducted a complimentary Google search to identify commercially available microscope-free microsurgical training models or kits not reported in peer-reviewed literature. Results Literature search identified 1,805 publications; 24 of these met inclusion criteria. Magnification tools most commonly included smartphones (n = 10), VR simulators (n = 4), and tablets (n = 3), with magnification ranging up to ×250 magnification on digital microscopy, ×50 on smartphones, and ×5 on tablets. Average cost of training models ranged from $13 (magnification lens) to $15,000 (augmented reality model). Model were formally assessed using workshops with trainees or attendings (n = 10), surveys to end-users (n = 5), and single-user training (n = 4); users-reported satisfaction with training models and demonstrated faster suturing speed and increased suturing quality with model training. Five commercially available microsurgery training models were identified through Google search. Conclusion Benchtop microsurgery trainers using digital magnification successfully provide trainees with increased ease of microsurgery training. Low-cost yet high magnification setups using digital microscopes and smartphones are optimal for trainees to improve microsurgical skills. Our assembly protocol, “1, 2, 3, Microsurgery,” provides instructions for training model set up to fit the unique needs of any microsurgery trainee.

Author(s):  
Paulo Eduardo Carnaval Pereira da Rocha ◽  
Vladimir Schuindt da Silva ◽  
Luiz Antonio Bastos Camacho ◽  
Ana Glória Godoi Vasconcelos

Studies assessed the beneficial effects of aerobic exercise on blood pressure (BP); however, few studies have evaluated the effects of long-term resistance training on variations of this response. The aim of the study was to verify through a systematic review, the long-term effect of resistance training on BP. Searches were made on Medline through Pubmed, Science Direct, Scopus, Web of Science and Lilacs databases. Overall, 751 articles were found, of which 22 were further analyzed. The analysis followed the PRISMA checklist (Statement for Reporting Systematic Reviews and Meta-Analyses of Studies) and was divided according to two resistance training models: traditional resistance training (TRT), resistance training alone; or combined resistance training (CRT), resistance training associated with aerobic exercise. Greater BP reductions occurred for CRT compared to TRT. However, further studies are needed to better explicit the resistance training variables (number of exercises, repetitions, number of sets, intervals, speed of execution and load intensity), in order to identify the best training model and improve the methodological quality of experiments in an attempt to reduce the risk of bias.


2019 ◽  
Vol 57 (4) ◽  
pp. 506-511
Author(s):  
Maria Raveendran

Objective: Simulation-based training is a relatively new inclusion to surgical training curricula, with promises of achieving increased competency while maximizing patient safety. Cleft palate, which contributes significantly to the global burden of surgically treatable diseases, is a challenging repair to learn due to the high level of skill and dexterity required, delicate oral tissues, and limited space of an infant oral cavity. Simulation training can allow cleft palate education to move from an observational to a competency-based learning. Hence, this systematic review presents the models described in the literature that simulate cleft palate repair. Design: The systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. An electronic search of the MEDLINE and Cochrane databases was performed. Qualitative data were extracted, and the models were stratified based on their anatomical fidelity and realism, forming the basis of the curriculum. Results: The database search returned 3261 articles. Twelve articles were considered eligible for inclusion. The anatomical fidelity, human tissue likeness, evidence of improved outcomes, and cost are discussed. Conclusions: Cleft palate is a globally significant birth defect and its repair is a difficult procedure to learn. This review presents the 12 models of cleft palate described in the literature, highlighting the advances and gaps in current cleft palate simulation.


2021 ◽  
Author(s):  
Louisa Manby ◽  
Catherine Aicken ◽  
Marine Delgrange ◽  
Julia V. Bailey

AbstractHIV is still the leading cause of death in Sub-Saharan Africa (SSA), despite medical advances. eHealth interventions are effective for HIV prevention and management, but it is unclear whether this can be generalised to resource-poor settings. This systematic review aimed to establish the effectiveness of eHealth interventions in SSA. Six electronic databases were screened to identify randomised controlled trials (RCTs) published between 2000 and 2020. Meta-analyses were performed, following Cochrane methodology, to assess the impact of eHealth interventions on HIV-related behaviours and biological outcomes. 25 RCTs were included in the review. Meta-analyses show that eHealth interventions significantly improved HIV management behaviours (OR 1.21; 95% CI 1.05–1.40; Z = 2.67; p = 0.008), but not HIV prevention behaviours (OR 1.02; 95% CI 0.78–1.34; Z = 0.17; p = 0.86) or biological outcomes (OR 1.17; 95% CI 0.89–1.54; Z = 1.10; p = 0.27) compared with minimal intervention control groups. It is a hugely important finding that eHealth interventions can improve HIV management behaviours as this is a low-cost way of improving HIV outcomes and reducing the spread of HIV in SSA. PROSPERO registration number: CRD42020186025.


Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1106
Author(s):  
Florian Recker ◽  
Lei Jin ◽  
Patrick Veith ◽  
Mark Lauterbach ◽  
Pantelis Karakostas ◽  
...  

Objectives: Currently, ultrasound (US) is widely used for the diagnosis of giant cell arteritis (GCA). Our aim was to develop a low-cost US training model for diagnosis of GCA of the temporal and axillary artery using a modern 3D printing system. Methods: We designed an US training model, which enables measurement of the intima-media thickness (IMT) of temporal and axillary arteries using Autodesk Fusion360. This model was printed using a modern 3D printer (Formlabs Form3) and embedded in ballistic gelatine. The ultrasound images including measurement of the IMT by ultrasound specialists in GCA were compared to ultrasound images in acute GCA and healthy subjects. Results: Our ultrasound training model of the axillary and temporal artery displayed a very similar ultrasound morphology compared to real US images and fulfilled the OMERACT ultrasound definitions of normal and pathological temporal and axillary arteries in GCA. The IMT measurements were in line with published cut-off values for normal and pathological IMT values in GCA and healthy individuals. When testing the models on blinded US specialists in GCA, they were identified correctly in all test rounds with an intra-class coefficient of 0.99. Conclusion: The production of low-cost ultrasound training models of normal and pathological temporal and axillary arteries in GCA, which fulfil the OMERACT ultrasound definitions and adhere to the published IMT cut-off values in GCA, is feasible. Ultrasound specialists identified each respective model correctly in every case.


10.2196/16935 ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. e16935
Author(s):  
Ching Lam ◽  
Michelle Helena van Velthoven ◽  
Edward Meinert

Background Internet of Things (IoT), or Industry 4.0, represents a smart shift to more interconnected manufacturing processes where individual entities within the supply chain communicate with each other to achieve greater flexibility and responsiveness in general manufacturing and leaner manufacturing to reduce the cost of production. IoT has become instrumental in driving leaner manufacturing and more efficient systems in other industries such as transportation and logistics. Cell-based therapeutic products could potentially transform various diseases; however, the delivery of these products is complex and challenging. Objective This study aims to understand the applicability of IoT in cell-based product supply chains and delivery. Methods We will search Medline, EMBASE (OvidSP), Web of Science, Cochrane Library & HEED, Scopus, ACM digital library, INSPEC, ScienceDirect, and the IEEE Xplore Digital Library for studies published after 2008 using a combination of keywords and subject headings related to IoT used in cell therapies. Additionally, a Google search to identify gray literature will be conducted. Two authors will independently screen the titles and abstracts identified from the search and accept or reject the studies according to the study inclusion criteria. Any discrepancies will then be discussed and resolved. The quality of the selected literature will be assessed using the Critical Appraisal Skills Programme systematic review checklist. Results Data from eligible publications will be abstracted into a predesigned form to map the current and future directions of the technologies, applications, benefits, and challenges in the implementation of IoT in regenerative medicine. This study will be published in a peer-reviewed journal in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. This systematic review will be executed by June 2020, and the completed review will be published in a peer-reviewed journal to inform future developments in IoT application for the delivery of cell-based therapies. Conclusions This review paper will provide an overview of all technologies available in the area and inspect the current IoT applications in cell-based therapies to identify the benefits, challenges, and future directions of using IoT to allow safe and cost-effective delivery of cell-based therapies. International Registered Report Identifier (IRRID) PRR1-10.2196/16935


2021 ◽  
Vol 11 (21) ◽  
pp. 10377
Author(s):  
Hyeonseong Choi ◽  
Jaehwan Lee

To achieve high accuracy when performing deep learning, it is necessary to use a large-scale training model. However, due to the limitations of GPU memory, it is difficult to train large-scale training models within a single GPU. NVIDIA introduced a technology called CUDA Unified Memory with CUDA 6 to overcome the limitations of GPU memory by virtually combining GPU memory and CPU memory. In addition, in CUDA 8, memory advise options are introduced to efficiently utilize CUDA Unified Memory. In this work, we propose a newly optimized scheme based on CUDA Unified Memory to efficiently use GPU memory by applying different memory advise to each data type according to access patterns in deep learning training. We apply CUDA Unified Memory technology to PyTorch to see the performance of large-scale learning models through the expanded GPU memory. We conduct comprehensive experiments on how to efficiently utilize Unified Memory by applying memory advises when performing deep learning. As a result, when the data used for deep learning are divided into three types and a memory advise is applied to the data according to the access pattern, the deep learning execution time is reduced by 9.4% compared to the default Unified Memory.


2021 ◽  
Author(s):  
Guillaume Chevance ◽  
Natalie M. Golaszewski ◽  
Elizabeth Tipton ◽  
Eric B. Hekler ◽  
Matthew Buman ◽  
...  

BACKGROUND Although it is widely recognized that physical activity is an important determinant of health there is considerable challenge in assessing this complex behavior. Tools for the objective assessment of the frequency, intensity, and duration of physical activity in adults and children have largely been developed for short-term use within research or public health surveillance environments. However, recent advances in microtechnology, data processing, wireless communication, and battery capacity have resulted in the proliferation of low-cost, non-invasive, wrist-worn devices with attractive designs that can easily be used by consumers to track their physical activity over long periods of time. OBJECTIVE The purpose of the present systematic-review and meta-analyses is to examine, quantify, and report on the current state of evidence for the analytical validity of energy expenditure, heart rate, and steps measured by recent combined-sensing Fitbits. METHODS Systematic-review and Bland-Altman meta-analyses of validation studies of combined-sensing Fitbits against reference measures of energy expenditure, heart rate and steps. RESULTS A total of 52 studies were included in the systematic review. Among them, 41 were included in the meta-analyses, representing 203 individual comparisons between Fitbit devices and a criterion measure (i.e., 117 for heart rate, 49 for energy expenditure, and 37 for steps). Overall, the majority of authors of the included studies concluded that recent Fitbit models underestimate heart rate, energy expenditure, and steps compared to criterion measures. These independent conclusions aligned with the results of the pooled meta-analyses showing an average underestimation of, respectively, -2,99 bpm, -2,77 kcal/min and -3,11 steps/min of the Fitbit compared to criterion measure (results obtained after removing high risk of bias studies). CONCLUSIONS Fitbit devices are likely to underestimate heart rate, energy expenditure, and steps. The estimation of these measurements varied by quality of study, age of the participants, type of activities, and by model of Fitbit. The qualitative conclusions of the majority of studies aligned with the results of meta-analyses. Although the expected level of accuracy might vary from one context to another, this underestimation can be acceptable, on average, for steps and heart rate. Information about energy expenditure however are likely to be too unprecise.


BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e026172
Author(s):  
Ching Lam ◽  
Edward Meinert ◽  
Celine-Lea Halioua-Haubold ◽  
Alison Carter ◽  
Aidong Yang ◽  
...  

IntroductionFollowing recent regulatory approvals of two chimeric antigen receptor T-cell (CAR-T) therapies, the field now faces a number of post-approval challenges. These challenges are in some respects defined and, in others, uncertain due to the nascence of the field. At present, information pertaining to such post-approval challenges are scattered in various previous reviews or raised in singular papers reporting experience in working with the therapy. This systematic review is designed to evaluate and summarise the post-approval challenges for robust delivery of CAR-T therapies to inform future work on the optimisation of CAR-T delivery to patients.Methods and analysisWe will search Medline, EMBASE (OvidSP), BIOSIS & Web of Science, Cochrane Library, ICER database, NICE Evidence Search, CEA Registry, WHOLIS WHO Library and Scopus for studies published between 2014 and the present. In addition, a Google search for grey literature such as bioprocess blog posts, opinion pieces, press releases and listed companies involved in CAR-T development annual reports will be conducted. Two authors will independently screen the titles and abstracts identified from the search and accept or reject the studies according to the study inclusion criteria and any discrepancies will be discussed and resolved. The quality of the selected literature will be assessed using theCritical Appraisal Skills Programme(CASP) Systematic Review checklist and grey literature will be assessed using the Authority, Accuracy, Coverage, Objectivity, Date, Significance (AACODS) checklist. Data from eligible publications will be categorised using a flowchart and extracted using a data abstraction form. Qualitative and quantitative analysis of the post-approval challenges of CAR-T therapies will be conducted based on the results attained.Ethics and disseminationThe executed study will be published in a peer-reviewed journal in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The findings from this review will be used to inform the development of an optimisation model for robust delivery of CAR-T therapies using a systems engineering approach.Trial registration numberCRD42018109756.


Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 5989
Author(s):  
Andrea Catherine Alarcón-Aldana ◽  
Mauro Callejas-Cuervo ◽  
Antonio Padilha Lanari Bo

The use of videogames and motion capture systems in rehabilitation contributes to the recovery of the patient. This systematic review aimed to explore the works related to these technologies. The PRISMA method (Preferred Reporting Items for Systematic reviews and Meta-Analyses) was used to search the databases Scopus, PubMed, IEEE Xplore, and Web of Science, taking into consideration four aspects: physical rehabilitation, the use of videogames, motion capture technologies, and upper limb rehabilitation. The literature selection was limited to open access works published between 2015 and 2020, obtaining 19 articles that met the inclusion criteria. The works reported the use of inertial measurement units (37%), a Kinect sensor (48%), and other technologies (15%). It was identified that 26% used commercial products, while 74% were developed independently. Another finding was that 47% of the works focus on post-stroke motor recovery. Finally, diverse studies sought to support physical rehabilitation using motion capture systems incorporating inertial units, which offer precision and accessibility at a low cost. There is a clear need to continue generating proposals that confront the challenges of rehabilitation with technologies which offer precision and healthcare coverage, and which, additionally, integrate elements that foster the patient’s motivation and participation.


2013 ◽  
Vol 1 (1) ◽  
pp. 26-36
Author(s):  
Bayu Iswana ◽  
Siswantoyo Siswantoyo

Penelitian ini bertujuan untuk menghasilkan model latihan keterampilan gerak pencak silat anak usia 9-12 tahun. Penelitian pengembangan mengadaptasi langkah-langkah penelitian pengembangan dari Borg & Gall (1983, p.775), (1) pengumpulan informasi, (2) analisis hasil informasi, (3) pengembangan produk awal, (4) validasi ahli dan revisi tahap 1, (5) ujicoba skala kecil dan revisi, (6) ujicoba skala besar dan revisi tahap 2, (7) produk final. Uji coba skala kecil dilakukan terhadap anak Tapak Suci SD N 1 Padokan dan Tapak Suci SD Muhamadiyah Demangan. Uji coba skala besar dilakukan terhadap anak Pagar Nusa Sleman, Pagar Nusa Kota Yogyakarta yang berlatih di SD N Demangan, Persatuan Hati Bantul. Instrumen pengumpulan data, (1) wawancara, (2) skala nilai, (3) pedoman observasi model, (4) pedoman keefektifan model. Teknik analisis data yang digunakan yaitu analisis deskriptif kuantitatif dan diskriptif kualitatif. Isi dari hasil produk di dalamnya terdapat 6 model latihan, (1) kucing dan tikus, (2) bentengan, (3) gobak sodor, (4) jala ikan, (5) berburu burung, (7) elang dan anak ayam. Para ahli menyimpulkan bahwa di dalam model terdapat aspek kognitif, afektif dan psikomotor, sehingga model layak dan efektif untuk digunakan.  A TRAINING MODEL FOR PENCAK SILAT MOVEMENT SKILLS OF CHILDREN AGED 9-12 YEARSAbstract This study aims to produce a training model for pencak silat (self-defence) movement skills of children aged 9-12 years. This research and development (R & D) study was conducted by adapting the R & D steps by Borg & Gall (1983, p.775), i.e. (1) information collection, (2) information result analysis, (3) preliminary product development, (4) expert validation and stage 1 revision, (5) a small-scale tryout and a revision, (6) a large-scale tryout and stage 2 revision, and (7) final product. The small-scale tryout was conducted by involving participants of Tapak Suci SD N I Padokan and Tapak Suci SD Muhamadiyah Demangan. The large-scale tryout was conducted by involving participants of Pagar Nusa Sleman and Pagar Nusa Yogyakarta City carrying out training in SD N Demangan and Persatuan Hati Bantul. The data collecting instruments included (1) interviews, (2) a score scale, (3) a model observation guide, and (4) a model effectiveness guide. The data were anlyzed using the quantitative and qualitative descriptive techniques. The contents of the product consist of six training models, i.e. (1) kucing dan tikus, (2) bentengan, (3) gobak sodor, (4) jala ikan, (5) berburu burung  and (6) elang dan anak ayam. The experts conclude that in the model there are cognitive, affective, and psychomotor aspects so that it is appropriate and effective to use. Keywords: model, training, pencak silat, children aged 9 – 12 years


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