Measuring learning gain during a one-day introductory bronchoscopy course

Background: Rigorous assessment of medical knowledge and technical skill inspires learning, reinforces confidence, and reassures the public. Identifying curricular effectiveness using objective measures of learning is therefore crucial for competency-oriented program development in a learner-centric educational environment. The aim of this study was to determine whether various measures of learning, including class-average normalized gain, can be used to assess the effectiveness of a one-day introductory bronchoscopy course curriculum. Methods: We conducted a quasi-experimental one-group pre-test/post-test study at the University of California, Irvine. The group comprised 24 first-year pulmonary and critical care trainees from eight training institutions in southern California. Class-average normalized gain, single-student normalized gain, absolute gain, and relative gain were used as objective measures of cognitive knowledge and bronchoscopy technical skill learning. A class-average normalized gain of 30% was used to determine curricular effectiveness. Perceived educational value using Likert-scale surveys and post-course questionnaires was determined during and 3 months after course participation. Results: Mean test scores of cognitive knowledge improved significantly from 48 to 66% (p = 0.043). Absolute gain for the class was 18%, relative gain was 37%, class average normalized gain ≤g≤ was 34%, and the average of the single-student normalized gains g(ave) was 29%. Mean test scores of technical skill improved significantly from 43 to 77% (p = 0.017). Absolute gain was 34%, relative gain was 78%, class average normalized gain ≤g≤ was 60%, and the average of the single-student normalized gains g(ave) was 59%. Statistically significant improvements in absolute gain were noted in all five elements of technical skill (p < 0.05). Likert-scale surveys, questionnaires, and surveys demonstrated strong perceived educational value. Conclusion: The effectiveness of a one-day introductory bronchoscopy curriculum was demonstrated using a pre-test/post-test model with calculation of normalized gain and related metrics. © 2010 The Author(s)

Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19.

Artificial intelligence (AI) is transforming healthcare delivery. The digital revolution in medicine and healthcare information is prompting a staggering growth of data intertwined with elements from many digital sources such as genomics, medical imaging and electronic health records. Such massive growth has sparked the development of an increasing number of AI-based applications that can be deployed in clinical practice. Pulmonary specialists who are familiar with the principles of AI and its applications will be empowered and prepared to seize future practice and research opportunities. The goal of this review is to provide pulmonary specialists and other readers with information pertinent to the use of AI in pulmonary medicine. First, we describe the concept of AI and some of the requisites of machine learning and deep learning. Next, we review some of the literature relevant to the use of computer vision in medical imaging, predictive modelling with machine learning, and the use of AI for battling the novel severe acute respiratory syndrome-coronavirus-2 pandemic. We close our review with a discussion of limitations and challenges pertaining to the further incorporation of AI into clinical pulmonary practice

[Respect for autonomy. How much do patients want to know in order to make decisions?].

Informed consent should be the expression of active participation of patients in the decision-making process. It is an application of the ethical principle of respect for patient autonomy. However, there are some concerns about the direct extrapolation of the Anglo-saxon concept of autonomy into other societies which could impose an unwanted level of patient participation. The objective of this study was to explore the quantity and quality of information that Argentine patients want to receive before making a decision about a surgical procedure. Among 200 patients possibly scheduled for elective surgery, more than 80% preferred to know all the possible alternatives of treatment and all the advantages and disadvantages of each alternative. Less than 20% considered that the patients themselves should make the decision regarding surgery after learning about all the risks and benefits. Seventy one percent of patients preferred to receive the information with their families in order to make a joint decision with them. Seventeen percent of patients preferred not knowing if there was a possibility they could die during surgery. These results suggest that in the current medical environment, one previously dominated in Argentina by a tendency towards beneficient paternalism on the part of physicians and surgeons, patients want to be extensively informed about risks, benefits, and procedural alternatives before electing to undergo a surgical procedure. Patient preferences regarding how family members should be involved in the decision-making should be elicited. Careful consideration is warranted, however, in the way health care providers might address risks of procedure-related death so that subjects who do not want to know about this risk can be identified

Multimodal imaging guidance for laser ablation in tracheal stenosis.

Objective/hypothesisLaser-induced damage of tracheal wall microstructures might contribute to recurrence after bronchoscopic treatment of tracheal strictures. The purpose of this study was to demonstrate how multimodal imaging using white light bronchoscopy (WLB), endobronchial ultrasound (EBUS), and optical coherence tomography (OCT) might identify in vivo airway wall changes before and resulting from Nd:YAG laser ablation and dilation of tracheal stenosis.Study designCase study.MethodsCommercially available WLB, high frequency EBUS using a 20-MHz radial probe and time-domain, frontal imaging OCT systems were used to characterize the extent, morphology, and airway wall microstructures at the area of hypertrophic fibrotic tissue formation before, during and after treatment of postintubation tracheal stenosis.ResultsWLB revealed the location of a complex, extensive, severe stricture. EBUS showed a homogeneous layer overlying a hyperechogenic layer corresponding to disrupted cartilage. OCT showed a homogeneous light backscattering layer and absence of layered microstructures, confirming absence in close proximity of normal airway wall. After laser ablation, OCT of charred tissue showed high backscattering and shadowing artifacts. OCT of noncharred tissue showed a thinner, homogeneous, light backscattering layer. EBUS showed thinner but persistent hypertrophic tissue suggesting incomplete treatment. WLB revealed improved airway patency postprocedure and recurrence 3 weeks later.ConclusionsEBUS identified cartilage disruption and residual hypertrophic tissue, the evidence of which might contribute to recurrence. OCT revealed homogeneous light backscaterring representing persistent noncharred hypertrophic tissues but it did not visualize cartilage disruption. Future studies are warranted to confirm whether these technologies can help guide bronchoscopic treatments

Virtual reality bronchoscopy simulation: A revolution in procedural training

Background: In the airline industry, training is costly and operator error must be avoided. Therefore, virtual reality (VR) is routinely used to learn manual and technical skills through simulation before pilots assume flight responsibilities. In the field of medicine, manual and technical skills must also be acquired to competently perform invasive procedures such as flexible fiberoptic bronchoscopy (FFB). Until recently, training in FFB and other endoscopic procedures has occurred on the job in real patients. We hypothesized that novice trainees using a VR skill center could rapidly acquire basic skills, and that results would compare favorably with those of senior trainees trained in the conventional manner. Methods: We prospectively studied five novice bronchoscopists entering a pulmonary and critical care medicine training program. They were taught to perform inspection flexible bronchoscopy using a VR bronchoscopy skill center; dexterity, speed, and accuracy were tested using the skill center and an inanimate airway model before and after 4hofgroup instruction and 4hofindividual unsupervised practice. Results were compared to those of a control group of four skilled physicians who had performed at least 200 bronchoscopies during 2 years of training. Student’s t tests were used to compare mean scores of study and control groups for the inanimate model and VR bronchoscopy simulator. Before-training and after-training test scores were compared using paired t tests. For comparison

Multimodal imaging guidance for laser ablation in tracheal stenosis.

Objective/hypothesisLaser-induced damage of tracheal wall microstructures might contribute to recurrence after bronchoscopic treatment of tracheal strictures. The purpose of this study was to demonstrate how multimodal imaging using white light bronchoscopy (WLB), endobronchial ultrasound (EBUS), and optical coherence tomography (OCT) might identify in vivo airway wall changes before and resulting from Nd:YAG laser ablation and dilation of tracheal stenosis.Study designCase study.MethodsCommercially available WLB, high frequency EBUS using a 20-MHz radial probe and time-domain, frontal imaging OCT systems were used to characterize the extent, morphology, and airway wall microstructures at the area of hypertrophic fibrotic tissue formation before, during and after treatment of postintubation tracheal stenosis.ResultsWLB revealed the location of a complex, extensive, severe stricture. EBUS showed a homogeneous layer overlying a hyperechogenic layer corresponding to disrupted cartilage. OCT showed a homogeneous light backscattering layer and absence of layered microstructures, confirming absence in close proximity of normal airway wall. After laser ablation, OCT of charred tissue showed high backscattering and shadowing artifacts. OCT of noncharred tissue showed a thinner, homogeneous, light backscattering layer. EBUS showed thinner but persistent hypertrophic tissue suggesting incomplete treatment. WLB revealed improved airway patency postprocedure and recurrence 3 weeks later.ConclusionsEBUS identified cartilage disruption and residual hypertrophic tissue, the evidence of which might contribute to recurrence. OCT revealed homogeneous light backscaterring representing persistent noncharred hypertrophic tissues but it did not visualize cartilage disruption. Future studies are warranted to confirm whether these technologies can help guide bronchoscopic treatments