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Despite fire prevention protocols and perioperative staff training, surgical fires continue to cause patient harm, disability, and death.We identified surgical fires that were reported to the Food and Drug Administration's Manufacturer and User Facility Device Experience database between 2000 and 2020 that resulted in patient or surgical personnel harm. Quantitative and descriptive content analyses were performed on free-text responses to identify contributing factors of surgical fire patient and personnel harm events.We identified 565 surgical fire events resulting in patient or surgical personnel harm over a 20-year study period (median 25 events/year; range, 8-53). Surgical fires were significantly more likely to occur during upper aerodigestive tract (unadjusted odds ratio 15.96; 95% confidence interval, 11.93-21.34) and head and neck (unadjusted odds ratio 5.47; confidence interval 4.14-7.22) procedures compared with abdomen and pelvis procedures. Upper aerodigestive tract and head and neck procedures had the highest incidence of life-threatening injury (41% and 21%, respectively). An electrosurgical device was the ignition source in 82% of events. Content analysis revealed 7 common categories identified as root causes of surgical fires: preparation of surgical site (n = 55, 29%); device malfunction (n = 51, 26%), surgical accident (n = 47, 24%), medical judgement (n = 44 reports, 23%), equipment care and handling (n = 18, 9%), patient factors (n = 10, 5%), and communication (n = 3, 2%).Surgical fires resulting in harm to patient and surgical personnel continue to occur. The common themes identified in this study will prepare and empower surgeons and surgical personnel to prevent surgical fires in the future.

Introduction: Non-tuberculous mycobacterial (NTM) infection commonly manifests as subacute or chronic cervicofacial lymphadenitis in immunocompetent children. The optimal management of this pathology remains controversial. Objectives: This international consensus guideline aims to understand the practice patterns for NTM cervicofacial lymphadenitis and to address the primary diagnostic and management challenges. Methods: A modified three-iterative Delphi method was used to establish expert recommendations on the diagnostic considerations, expectant or medical management, and operative considerations. The recommendations herein are derived from current expert consensus and critical review of the literature. Setting: Multinational, multi-institutional, tertiary pediatric hospitals. Results: Consensus recommendations include diagnostic work-up, goals of treatment and management options including surgery, prolonged antibiotic therapy and observation. Conclusion: The recommendations formulated in this International Pediatric Otolaryngology Group (IPOG) consensus statement on the diagnosis and management of patients with NTM lymphadenitis are aimed at improving patient care and promoting future hypothesis generation. Keywords: Atypical mycobacteria; Cervical lymphadenitis; Consensus recommendations; Non-tuberculous mycobacteria.

Though handwriting recognition is a well-explored research area for decades, there are a few sub-areas of this field that have still not obtained much attention from the researchers. Some examples include recognition of hand-drawn graphics components like circuit components and diagrams. Complete digitization of such handwritten documents is not possible without automatic conversion of the said circuit diagrams. Besides, to date, in most of the cases for commercial circuit design purposes, concerned people manually enter the components into the simulating software like Cadence, Spice to analyze the circuit and judge its performance. In this work, it has been tried to move one step towards automating this process by recognizing the hand-drawn circuit components which are considered as the most important step for this automation. The present endeavour is to design a two-stage convolutional neural network (CNN)-based model that recognizes the hand-drawn circuit components. In the first stage, all the similar-looking (i.e., similar shape and structure) circuit components are clustered into a single group using visual perception and input from confusion matrix of single-stage CNN-based classification, and in the later stage, the circuit components belong to the same group are classified into their actual classes. The proposed model has been evaluated on a self-made database where 20 different classes of hand-drawn circuit components are considered. The experimental outcome shows that the proposed two-stage classification model provides an accuracy 97.33% which is much higher than the single-stage method, which provides an accuracy of 86.00%.

To compare outcomes of early and late tracheostomy change in neonatal patients. Early tracheostomy change (ETC) occurred 3 to 4 days after surgery, and late tracheostomy change (LTC) occurred 5 to 7 days after surgery.Retrospective cohort.Tertiary neonatal/pediatric intensive care unit.A retrospective review of patients who underwent tracheostomy from 2015 to 2019 was performed for infants1 year old. Data were recorded regarding age at tracheostomy, days until tracheostomy tube change, postoperative complications, and total number of days on sedative or paralytic drugs.Forty-six patients were included: 18 (39%) were male, with a mean age of 140 days (SD, 78). Of these, 28 (61%) received ETC. There were no accidental decannulation events in either group. Wound breakdown developed in 4 (14%) patients with ETC versus 5 (28%) with LTC (ETC appears to be feasible in children less than a year of age. There does not appear to be an increased risk of accidental decannulation events or false passage tracts. Further investigations are warranted to investigate safety and possible impact on wound breakdown.

A standard Wireless Sensor Networks(WSNs) comprises of low-cost sensor nodes embedded with small batteries. To enhance the network lifetime of WSN, the number of active nodes among the deployed nodes should be minimum. Along with this, it must be ensured that coverage of the targeted area would not get affected by the currently active nodes. Considering different applications of WSN, there is still a demand for full coverage or partial coverage of the deployed area. Irrespective of the circumstances, a proper sleep scheduling algorithm needs to be followed. Else, the active nodes will be tuckered out of the battery. Random distribution of the sensor nodes in a common area may have multiple active nodes. It is essential to identify the redundant number of active nodes and put them into sleep to conserve energy. This paper has proposed a methodology where the active sensor nodes form a hierarchical structure that heals itself by following a level-wise approach. In the meantime, it also detects the total number of redundant nodes in the coverage area. The performance of the proposed protocol is evaluated using the Castalia simulator. The simulation results show that the proposed level-wise periodic tree construction approach increases the network's durability in conjunction with the level wise approach.

Burn injury and operating room fires are significant risks for both surgical patients and staff. The purpose of this study was to examine the fire and burn risks associated with two types of fiberoptic light cables and evaluate the efficacy of a novel device in reducing the risk of these fire and burn injuries. A 300-W light source was connected sequentially to two standard fiberoptic cables (Storz and Olympus). The distal ends were buried in, or rested on, standard operating room materials including a cotton green towel and a blue propylene drape to assess the risk of fire formation or burn injury. The Gloshield device was then attached to the ends of the cables and the experiment was repeated. Trials simulating improper use of the device were then conducted with the Gloshield device placed either too deep or too shallow on the end of the light cable. All trials were conducted for a maximum of 10 min or until a positive result (burn or fire) was achieved. Trials were conducted in room air or with supplemental 100% oxygen and repeated for accuracy. Both the Storz and Olympus fiber optic cables were capable of producing burns in standard operating room towels and drapes in control trials. The Gloshield device prevented thermal injury when properly attached in all conditions. Improper use trials demonstrated that the device may be ineffective when not applied properly. The Gloshield device is effective in reducing the risk of thermal burn injury by protecting the distal ends of endoscopic light cables from operating room materials. However, the device needs to be attached appropriately in order to provide protective benefits.

To determine the effects of the COVID-19 pandemic on Adenotonsillectomies (TA), Tonsil Related Cases (TC), and Peritonsillar Abscess (PTA) Trends.Retrospective Cohort Study.This is a retrospective cohort study using the Pediatric Health Information System® (PHIS) database, which consists of 51 children's hospitals. Regions were defined according to PHIS rules with at least five children's hospitals per region. We compared monthly total TA, TC, TC as a proportion of all hospital visits, and PTA from all encounters at each hospital from January 1, 2019, through December 31, 2021.Compared to 2019, April 2020 saw mean TC drop significantly from 371.62 to 68.37 (p 0.001). Interestingly, June, September, and December 2020 had significantly higher mean TC compared to 2019. TC as a proportion of all hospital visits decreased significantly throughout the majority of 2021. Similarly, TA significantly decreased during 2020 and 2021 across all regions in the US, starting in March 2020 and this reduction in TA extended through the end of 2021 without any signs of recovery. PTA rates did not change significantly over the three years.The pandemic-plagued 2020 saw a noticeable decrease in overall TC and TA but then rebounded quickly to even higher than pre-pandemic levels. However, this rebound halted for the majority of 2021 and subsequently decreased to lower than pre-pandemic levels, which differs from other communicable pathologies such as otitis media which decreased initially then recovered to pre-pandemic levels by Summer of 2021.

Create a competency-based assessment tool for pediatric esophagoscopy with foreign body removal.Blinded modified Delphi consensus process.Tertiary care center.A list of 25 potential items was sent via the Research Electronic Data Capture database to 66 expert surgeons who perform pediatric esophagoscopy. In the first round, items were rated as "keep" or "remove" and comments were incorporated. In the second round, experts rated the importance of each item on a seven-point Likert scale. Consensus was determined with a goal of 7 to 25 final items.The response rate was 38/64 (59.4%) in the first round and returned questionnaires were 100% complete. Experts wanted to "keep" all items and 172 comments were incorporated. Twenty-four task-specific and 7 previously-validated global rating items were distributed in the second round, and the response rate was 53/64 (82.8%) with questionnaires returned 97.5% complete. Of the task-specific items, 9 reached consensus, 7 were near consensus, and 8 did not achieve consensus. For global rating items that were previously validated, 6 reached consensus and 1 was near consensus.It is possible to reach consensus about the important steps involved in rigid esophagoscopy with foreign body removal using a modified Delphi consensus technique. These items can now be considered when evaluating trainees during this procedure. This tool may allow trainees to focus on important steps of the procedure and help training programs standardize how trainees are evaluated.5. Laryngoscope, 131:1168-1174, 2021.

Circuit diagram is the very foundation of electrical and electronic sciences. A circuit diagram consists of various symbols called circuit components that specify the functionality of that circuit. Every day-to-day gadgets that we use are made up with a number of electrical/electronic circuits to play out their particular tasks. Till date circuit designers have to physically enter all data from the hand-drawn circuits into computers, and this procedure requires some investment in terms of time and carries mistakes with high likelihood. To this end, in this paper, we propose a method that relaxes this constraint by introducing a method for recognition of hand-drawn electrical and electronic circuit components, with both analog and digital components included. In the proposed method, the pre-processed images of circuit components are used for training and testing a recognition model using a feature set consisting of a texture based feature descriptor, called histogram of oriented gradients (HOG), and shape based features that include centroid distance, tangent angle, and chain code histogram. In addition, the texture based feature, being large in number compared to others is optimized using a feature selection algorithm called ReliefF. Classification of components is done by using sequential minimal optimization (SMO) classifier. The proposed method has been evaluated on a dataset of 20 different circuit components with 150 samples in each class. The experimental outcome shows that the proposed approach provides average 93.83% accuracy on the present database. We also compare our method with some of the state-of-the-art methods and we see that our method outperforms these methods.

The wireless sensor network (WSN) has been extensively used to monitor and control the natural ecosystem on a large scale like air quality, natural life, etc. Low battery power,low storage, and limited processing ability are the most critical areas of concern in WSN. To reduce energy utilization, the sensor nodes in WSN work in a cyclic process between active and sleep mode. A certain number of nodes are chosen active and they are responsible for sensing as well as data transmission and rest of the nodes are gone to sleep. In order to lengthen the lifetime of network, in this paper we proposed a level wise periodic tree construction algorithm that uses a specific set of nodes to participate in tree construction, instead of all the nodes, to minimize the energy consumption. In this proposed approach, the main idea is to put the nodes, which are currently active and have already spent a significant amount of energy, to sleep mode, while giving chances to the leaf nodes, which has comparatively spent less energy, to become an active node and maintain connectivity. The performance of the proposed protocol is evaluated using the Castalia simulator. The simulation results show that the proposed level-wise periodic tree construction approach increases the durability of the network in conjunction with the non-level approach.

This article analyzes and rationalizes the capabilities of inversion test points (TPs) when implemented in lieu of traditional test point architectures. With scaling transistor density, logic built-in self-test (LBIST) quality degrades and additional efforts must keep LBIST quality high. Additionally, delay faults must be targeted by LBIST, but delay faults can be masked when using control-0/1 (i.e., traditional) TP architectures. Although inversions as TPs have been proposed in literature, the effect inversion TPs have on fault coverage compared to traditional alternatives has not been explored. This study extends work previously presented in the North Atlantic Test Workshop (NATW’19) and finds both stuck-at and delay fault coverage improves under pseudo-random tests using inversion TPs, and extended data collection finds noteworthy trends on the effectiveness of TP architectures.

Objectives/hypothesis Create a competency-based assessment tool for pediatric esophagoscopy with foreign body removal. Study design Blinded modified Delphi consensus process. Setting Tertiary care center. Methods A list of 25 potential items was sent via the Research Electronic Data Capture database to 66 expert surgeons who perform pediatric esophagoscopy. In the first round, items were rated as "keep" or "remove" and comments were incorporated. In the second round, experts rated the importance of each item on a seven-point Likert scale. Consensus was determined with a goal of 7 to 25 final items. Results The response rate was 38/64 (59.4%) in the first round and returned questionnaires were 100% complete. Experts wanted to "keep" all items and 172 comments were incorporated. Twenty-four task-specific and 7 previously-validated global rating items were distributed in the second round, and the response rate was 53/64 (82.8%) with questionnaires returned 97.5% complete. Of the task-specific items, 9 reached consensus, 7 were near consensus, and 8 did not achieve consensus. For global rating items that were previously validated, 6 reached consensus and 1 was near consensus. Conclusions It is possible to reach consensus about the important steps involved in rigid esophagoscopy with foreign body removal using a modified Delphi consensus technique. These items can now be considered when evaluating trainees during this procedure. This tool may allow trainees to focus on important steps of the procedure and help training programs standardize how trainees are evaluated. Level of evidence 5. Laryngoscope, 131:1168-1174, 2021.

Purpose The pandemic related to the novel coronavirus (COVID-19) has led to a decrease in communicable diseases due to social distancing and mask-wearing. How have the prevalence of otitis media (OM) and its associated procedures changed during the pandemic? Study design Retrospective Cohort Study. Methods This is a retrospective cohort study using the Pediatric Health Information System® (PHIS) database, which consists of 48 children's hospitals. Regions were defined according to PHIS rules. We compared proportion of OM to total diagnoses codes, and collected mastoiditis, and MT placements from all encounters through January 1, 2019-June 31, 2021. Results In April 2020, there was a decrease in mean proportion of OM cases per 100 hospital visits (7 v. 2, p

Modular power conversion systems can have a variety of potential advantages, including high thermal contact area, reliability, repairability, wide operating range, the use of devices with reduced voltage and/or current ratings and better Figure of merit, and overall small parasitics to enable high-frequency operation even at high power. In order to ensure power sharing among modules, most approaches adopt a centralized or distributed approach which require communication with a central controller or among modules, which increases the opportunity for global system failure and impedes modularity. In this paper, we present a truly decentralized control approach (one with no communication between modules) for power sharing in modular converters. Each module’s controller implements a nonlinear “selfish” control algorithm, wherein the increment or decrement in its power at any time instant is a function of its present contribution to the overall output power. That is, modules currently processing high power respond strongly when less power is required, but weakly when more power is required (and vice versa for modules currently processing low power). The successful operation of the proposed control strategy is first verified using simulation results which show its fast convergence and stable operation in IPOP, ISOP, IPOS and ISOS configurations without changing any physical or control parameters. Further validation is presented through the successful operation of a hardware prototype when arranged in different modular configurations, as well as its stable operation over load transients and in the event of module failure.

Session Description: The COVID-19/SARS-CoV2 pandemic has highlighted concerns regarding disease transmission to both surgeons and assisting staff during procedures that generate droplets and aerosols. Aerosol and droplet formation is known to occur during otologic and lateral skull base surgery, particularly when powered instrumentation is used. This expert panel will review both the basic science and clinical studies regarding risk identification. Recommendations regarding minimization of these risks will be thoroughly discussed in both scientific and practical terms that can be utilized by practicing otolaryngologists in real-life scenarios. In addition, the panel will address controversies regarding these risks and mitigation schemes and address real-life situations using case-based examples relevant to both the general otolaryngologist and neurotologic specialist. The discussion will focus not only on mitigation of spread of SARS-CoV2 virus but also on other currently identified pathogens of the middle ear and mastoid and future threats. This panel will address emerging pathogens that have not yet become threats in the United States and Western Europe but have affected otolaryngologists in other areas of the world. It will also provide guidance for hypothetical novel future threats that have not yet presented in clinical practice. This presentation is highly relevant to practicing otolaryngologists, including general otolaryngologists, pediatric otolaryngologists, and neurotologists and will provide the attendee with a thorough update clinical practice patterns, potential spread of contagion, and strategies of spread mitigation. Outcome Objectives: (1) Examine the basic and clinical science of pathogens of the middle ear, mastoid, and cerebrospinal fluid and the patterns of spread of these pathogens during otologic and lateral skull base procedures. (2) Understand and implement strategies to mitigate spread of currently known pathogens in otologic and lateral skull base procedures, including limitation of the spread of SARS/CoV2. (3) Understand a framework of strategies and best practices for mitigation of spread of emerging pathogens and future pathogens.

Session Description: Every otolaryngologist should know about vaping. Vaping-related harm may include catastrophic lung injury, fatal accidental ingestion in children, explosion of combustible devices, accelerated nicotine addiction, and interaction with COVID-19 risk. Vaping amplifies disparities in use and addiction, mediated through social determinants of health. This panel reveals the evidence around vaping most relevant to practicing otolaryngologists trying to grasp this complex public health concern. We explain vaping epidemiology, sociological undercurrents and disparities, pathophysiology of vapingrelated disease, and what to do about it. We describe how JUUL's meteoric rise to dominance in the electronic cigarette (e-cigarette) space-growth rivaling that of Facebook-was catalyzed by social media, positioning as new technology, stealthy design, and alluring flavors. We probe the science of vaping from surgical wound healing to effects of inhaling formaldehyde, propylene glycol, heavy metals, and other vapors-risks magnified in unregulated cannabinoids. The experiences of individuals who survived vaping-related injury, from respiratory exacerbation to ventilator dependence, is testimony to the crisis. The session offers insights on vaping-related disease, persistent misconceptions, and social determinants of health. e-Cigarettes, a potential “off ramp” for adult smokers have evolved into a heavily trafficked “on ramp” for the next generation. We close with counseling pearls, advice for patients grappling with misinformation, and opportunities for our specialty to lead. Outcome Objectives: (1) Describe trends in electronic nicotine device use, interaction with social determinants of health, current slang used for these habits, and forthcoming inhaled tobacco technology. (2) Describe how sociological factors and biology interact in the pathogenesis of vaping-related respiratory injury and wound healing. (3) Discuss specific talking points for counseling patients and strategies for dispelling misconceptions around vaping-related disease.

Session Description: Using quality and safety (Q&S) principles for the evaluation, performance, and follow-up care of patients is a critical component of otolaryngology. Despite its importance, the best methods and how to become Q&S change agents are not widely known. We will discuss the principles of Q&S as they relate to pediatric otolaryngology and airway management, including the most effective methods of reducing practice variability, in-hospital complications, and unplanned readmissions. We will also describe how pediatric otolaryngologists can act as change agents. Finally, we will discuss how COVID-19 has affected airway practices, emphasizing Q&S principles. This miniseminar has been endorsed by the American Academy of Otolaryngology-Head and Neck Surgery Patient Safety and Quality Improvement Committee and the American Society of Pediatric Otolaryngology Quality and Safety Committee. Outcome Objectives: (1) Describe the fundamentals of quality and safety principles of practice, including quality intervention design and data analysis. (2) Understand the characteristics of leadership and how otolaryngologists can be change agents across an institution. (3) Recognize the challenges of practicing otolaryngology safely while maintaining quality in a COVID-19 world.

Artificial intelligence systems have permeated into all spheres of our life-impacting everything from our food habits to our sleep patterns. One untouched area where such intelligent systems are still in their infancy is sports. There has not been enough indulgence of AI techniques in sports, and most of the works are carried on manually by coaching staff and human appointees. We believe that intelligent systems can make coaching staff’s work easier and produce findings that the human eye can often overlook. Here, we have proposed an intelligent system to analyze the beautiful game of tennis. With the use of computer vision architecture Detectron2 and activity-based pose estimation and subsequent classification, it can identify an action from a tennis shot (activity). It can produce a performance score for the player based on pose and movement like forehand and backhand. It can also be used to understand and evaluate the strengths and weaknesses of the player. The proposed approach provides a piece of valuable information for a player’s performance and activity detection to be used for better coaching. The study achieves a classification accuracy of 98.60% and outperforms other SOTA CNN models.

There is an extensive amount of data available from the leading organizations involved in the residency selection process. Tracking trends in otolaryngology residency applications and match outcomes is vital to understand the pipeline of individuals joining our profession. As we make changes to the application or match process, proper interpretation of available data is vital to prevent erroneous analyses and inappropriate conclusions. In the commentary, we explore the nuances of data from the Electronic Residency Application Service and National Residency Matching Program to help our specialty direct research endeavors and policy changes that will ultimately affect the makeup of our future workforce.

The dynamics of probe molecules is commonly used to investigate the structural dynamics of room-temperature ionic liquids; however, the extent to which this dynamics reflects the dynamics of the ionic liquids or is probe specific has remained debated. Here, we explore to what extent the vibrational and rotational dynamics of the dicyanamide anion, a common ionic liquid anion, correlates with the structural relaxation of ionic liquids. We use polarization-resolved, ultrafast infrared spectroscopy to probe the temperature- and probe-concentration-dependent dynamics of samples with small amounts of 1-ethyl-3-methylimidazolium ([emim]+) dicyanamide ([DCA]-) dissolved in four [emim]+-based ionic liquids with tetrafluoroborate ([BF4]-), bis(trifluoromethylsulfonyl)imide ([NTf2]-), ethylsufate ([EtSO4]-), and triflate ([OTf]-) as anions. The transient spectra after broad-band excitation at 2000-2300 cm-1, resonant with the symmetric and antisymmetric C≡N stretching vibrations, initially contain oscillatory signatures due to the vibrational coherence between both modes. Vibrational population relaxation occurs on two distinct time scales, ∼6-7 and ∼15-20 ps. The vibrational dynamics is rather insensitive to the details of the ionic liquid anion and temperature, except for the slow vibrational relaxation component. The decay of the excitation anisotropy, a measure of the rotational dynamics of [DCA]-, markedly depends on temperature, and the obtained decay time exhibits an activation energy of ∼15-21 kJ/mol. Remarkably, neither the rotation time nor the activation energy can be simply explained by the variation of the macroscopic viscosity. Hence, our results suggest that the dynamics of dicyanamide is only in part representative of the ionic liquid structural dynamics. Rather, the dynamics of the probe anion seems to be determined by the specific interaction of [DCA]- with the ionic liquid's ions for the class of [emim]+-based ionic liquids studied here.

The exponential complexity of automatic test pattern generation (ATPG) necessitates the use of heuristics in making choices during test generation. However, in practice no single heuristic fits all situations. Unsupervised learning can combine any number of known heuristics, such as input-output distance (logic depths), gate type, fanout information, and testability measures like Controllability and Observability Program (COP) and Sandia Controllability/Observability Analysis Program (SCOAP) through principal component (PC) analysis, and then the major PC can guide ATPG choices. This study combines three heuristics, distance, COP, and SCOAP. Some heuristic data are complemented and two major PC are obtained. These PC guide backtrace directions in a PODEM ATPG program. For most circuits, the number of backtracks either matches the best of the three heuristics or is lower than all.

In a machine intelligence (MI)-based automatic test pattern generator (ATPG), an artificial neural network (ANN) may guide decisions that would otherwise rely on some heuristic. Heuristics use circuit-specific data such as gate types, logic depth, fan-out data, or various testability measures. Treating these data collectively as a multivariate statistic of circuit topology, this study extracts principal components (PCs). A subset of PCs is then used to train the ANN that facilitates algorithmic decisions in ATPG. This reduces the ANN complexity and enhances ATPG efficiency. Results on benchmark circuits show the benefit of reduced CPU time.

Objectives Adenotonsillectomy (T&A) is one of the most common surgical procedures performed in the United States. Several studies have defined the safety of laryngeal mask airway (LMA) during this surgery, and conflicting evidence exists describing the role it plays in reducing intraoperative times. Our objective is to describe the role LMA and operating on a stretcher have on reducing intraoperative time during pediatric T&A. Methods This is a retrospective review between October 2017 and January 2020. We included patients between the ages of 4–18 years old undergoing T&A. We excluded medically complex patients with chromosomal, craniofacial, and metabolic abnormalities, patients with cerebral palsy, and those who were tracheostomy dependent. Patient demographics included surgical indication, age, sex, obesity, use of preoperative midazolam, type of airway used, use of traditional operating room (OR) bed versus transport stretcher, surgeon type, and intraoperative times. Data was analyzed with univariate t-test and multivariate linear regression. Results One hundred seventy-nine patients were included with an average age of 7.2 years. LMA and stretcher were used on 46.4% and 40.2% of patients, respectively. On multivariate linear regression LMA reduced emergence time by 4.4 min (p ≤ 0.001, 95% CI −6.7 to −2.1) and transport stretcher reduced induction time by 2.5 min (p = 0.04, 95% CI −4.9 to −0.1). Use of LMA and stretcher did not have a statistically significant difference on actual procedure time. Conclusion Our study further supports the role LMA has in reducing intraoperative times in addition to describing a novel method of reducing intraoperative time by operating on a transport stretcher for healthy children undergoing T&A. Level of evidence: 3.