Closed Bronchoscopy System: An Innovative Approach to Minimize Aerosolization During Bronchoscopy.
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ABSTRACT:
SUBMITTER: Sharkey A
PROVIDER: S-EPMC8330621 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundMastoidectomy is associated with extensive bone-drilling which makes it a major aerosol generating procedure. Considering the ongoing COVID-19 global pandemic, it is essential to devise methods to minimize aerosolization and hence ensure safety of the healthcare workers during the operative procedure.MethodsTwo disposable surgical drapes are used to create a closed pocket prior to commencement of mastoid bone-drilling. This limits aerosolization of bone-dust in the external operating theatre environment.ConclusionTwo-drape closed pocket technique is an easy, cost-effective and safe method to limit aerosolization of tissue particles during mastoidectomy.
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Project description:Preventing exposure of virulent pathogens during aerosolizing procedures such as intubations has been a cause of concern during the coronavirus pandemic. As such, protocols have been adjusted and precautions implemented in order to minimize the risk to the proceduralist. As patients improve, we face another high-risk aerosolizing procedure-extubation. We illustrate a protocol to help minimize the exposure risk during extubation. We describe a barrier technique during extubation which contained aerosolized particulates into a non-rebreather mask at time of extubation. Our protocol allows providers to perform extubations while minimizing exposure to aerosolized particles.
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Project description:BACKGROUND:Conventional training in bronchoscopy is performed either on patients (apprenticeship model) or phantoms. While the former is associated with increased rate of patient complications, procedure time, and amount of sedation, the latter does not offer any form of feedback to the trainee. This paper presents a study which investigates whether a bronchoscopy guidance system may be a helpful tool for training of novice bronchoscopists. METHODS:A randomized controlled study with 48 medical students was carried out with two different groups (control and test group, each N?=?24). Whereas the control group performed a conventional bronchoscopy on phantom the test group carried out an Electromagnetic Navigation Bronchoscopy (ENB) for tracking of the bronchoscopal tip in the bronchial system. All volunteers had a common task: to perform a complete and systematic diagnostic bronchoscopy within 10?min. RESULTS:The test group examined significantly more lobes than the control group (p?=?0.009). Due to the real-time feedback of the system, all students of test group felt more confident having analyzed the entire lung. Additionally, they were unanimous that the system would be helpful during the next bronchoscopy. CONCLUSIONS:In sum, this technology may play a major role in unsupervised learning by improving accuracy, dexterity but above all by increasing the confidence of novices, students as well as physicians. Due to good acceptance, there may be a great potential of this tool in clinical routine.
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Project description:Preventing the dispersion of virulent particles during aerosol generating procedures has never been more relevant than during the current coronavirus pandemic. The American Heart Association released interim guidelines to assist in limiting exposure during advanced cardiovascular life support. These include maintaining a closed circuit on the ventilator for intubated patients and to use a high-efficiency particulate air filter during airway management of nonintubated patients. We developed additional modifications to the suggested guidelines such that providers are even further protected from unnecessary aerosolization, and illustrate a sample protocol for provider safety during advanced cardiovascular life support in the coronavirus pandemic. For the intubated patient, our protocol maintains the patient to the ventilator in addition to being draped with a plastic barrier over the mouth and nares. In the nonintubated patient, a plastic drape or a non-rebreather mask is used to help reduce aerosolization during manual chest compressions. Our modified protocol allows providers to perform advanced cardiac life support by further minimizing exposure risk.
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Project description:ObjectivesWe evaluated the feasibility of optimising coronary perfusion pressure (CPP) during cardiopulmonary resuscitation (CPR) with a closed-loop, machine-controlled CPR system (MC-CPR) that sends real-time haemodynamic feedback to a set of machine learning and control algorithms which determine compression/decompression characteristics over time.BackgroundAmerican Heart Association CPR guidelines (AHA-CPR) and standard mechanical devices employ a "one-size-fits-all" approach to CPR that fails to adjust compressions over time or individualise therapy, thus leading to deterioration of CPR effectiveness as duration exceeds 15-20 min.MethodsCPR was administered for 30 min in a validated porcine model of cardiac arrest. Intubated anaesthetised pigs were randomly assigned to receive MC-CPR (6), mechanical CPR conducted according to AHA-CPR (6), or human-controlled CPR (HC-CPR) (10). MC-CPR directly controlled the CPR piston's amplitude of compression and decompression to maximise CPP over time. In HC-CPR a physician controlled the piston amplitudes to maximise CPP without any algorithmic feedback, while AHA-CPR had one compression depth without adaptation.ResultsMC-CPR significantly improved CPP throughout the 30-min resuscitation period compared to both AHA-CPR and HC-CPR. CPP and carotid blood flow (CBF) remained stable or improved with MC-CPR but deteriorated with AHA-CPR. HC-CPR showed initial but transient improvement that dissipated over time.ConclusionMachine learning implemented in a closed-loop system successfully controlled CPR for 30 min in our preclinical model. MC-CPR significantly improved CPP and CBF compared to AHA-CPR and ameliorated the temporal haemodynamic deterioration that occurs with standard approaches.
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Project description:Bronchoscopy is a commonly used minimally invasive procedure for lung-cancer staging. In standard practice, however, physicians differ greatly in their levels of performance. To address this concern, image-guided intervention (IGI) systems have been devised to improve procedure success. Current IGI bronchoscopy systems based on virtual bronchoscopic navigation (VBN), however, require involvement from the attending technician. This lessens physician control and hinders the overall acceptance of such systems. We propose a hands-free VBN system for planning and guiding bronchoscopy. The system introduces two major contributions. First, it incorporates a new procedure-planning method that automatically computes airway navigation plans conforming to the physician's bronchoscopy training and manual dexterity. Second, it incorporates a guidance strategy for bronchoscope navigation that enables user-friendly system control via a foot switch, coupled with a novel position-verification mechanism. Phantom studies verified that the system enables smooth operation under physician control, while also enabling faster navigation than an existing technician-assisted VBN system. In a clinical human study, we noted a 97% bronchoscopy navigation success rate, in line with existing VBN systems, and a mean guidance time per diagnostic site = 52 s. This represents a guidance time often nearly 3 min faster per diagnostic site than guidance times reported for other technician-assisted VBN systems. Finally, an ergonomic study further asserts the system's acceptability to the physician and long-term potential.
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Project description:Atelectasis is a well-defined phenomenon in patients having surgery under general anesthesia. Recently, this phenomenon was also reported in patients having bronchoscopy under general anesthesia, with dedicated studies demonstrating a high incidence of up to 89%. Not surprisingly, time under general anesthesia and a higher body mass index (BMI) were found to be two significant factors that influenced the development of intraprocedural atelectasis. Atelectasis poses a significant obstacle in peripheral bronchoscopy since it can result in false positive radial probe ultrasound images, create computed tomography to body divergence, as well as obscure the target lesion on intraprocedural cone beam computed tomography (CBCT) images, thereby affecting both the navigational and diagnostic yield of the procedure. Bronchoscopists should be aware of this phenomenon and make efforts to prevent it when peripheral bronchoscopy under general anesthesia is planned. Ventilatory strategies to reduce intraprocedural atelectasis have been studied and proven to be effective and well-tolerated. Other strategies, such as patient positioning and preprocedural strategies have also been described but need further investigation. This article aims to summarize the recent history regarding the discovery and significance of intraprocedural atelectasis during bronchoscopy under general anesthesia and the various state-of-the-art strategies that have been proposed to mitigate the development of this entity.
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Project description:In 2012, Oregon initiated a significant transformation of its Medicaid program, catalyzed in part through an innovative arrangement with the Centers for Medicare and Medicaid Services (CMS), which provided an upfront investment of $1.9 billion to the state. In exchange, Oregon agreed to reduce the rate of Medicaid spending by 2 percentage points without degrading quality. A failure to meet these targets triggers penalties on the order of hundreds of millions of dollars from CMS. We describe the novel arrangement with CMS and how the CCO structure compares to Accountable Care Organizations (ACOs) and managed care organizations (MCOs).
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Project description:The staging of the central-chest lymph nodes is a major step in the management of lung-cancer patients. For this purpose, the physician uses a device that integrates videobronchoscopy and an endobronchial ultrasound (EBUS) probe. To biopsy a lymph node, the physician first uses videobronchoscopy to navigate through the airways and then invokes EBUS to localize and biopsy the node. Unfortunately, this process proves difficult for many physicians, with the choice of biopsy site found by trial and error. We present a complete image-guided EBUS bronchoscopy system tailored to lymph-node staging. The system accepts a patient's 3D chest CT scan, an optional PET scan, and the EBUS bronchoscope's video sources as inputs. System workflow follows two phases: (1) procedure planning and (2) image-guided EBUS bronchoscopy. Procedure planning derives airway guidance routes that facilitate optimal EBUS scanning and nodal biopsy. During the live procedure, the system's graphical display suggests a series of device maneuvers to perform and provides multimodal visual cues for locating suitable biopsy sites. To this end, the system exploits data fusion to drive a multimodal virtual bronchoscope and other visualization tools that lead the physician through the process of device navigation and localization. A retrospective lung-cancer patient study and follow-on prospective patient study, performed within the standard clinical workflow, demonstrate the system's feasibility and functionality. For the prospective study, 60/60 selected lymph nodes (100%) were correctly localized using the system, and 30/33 biopsied nodes (91%) gave adequate tissue samples. Also, the mean procedure time including all user interactions was 6 min 43 s All of these measures improve upon benchmarks reported for other state-of-the-art systems and current practice. Overall, the system enabled safe, efficient EBUS-based localization and biopsy of lymph nodes.
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