Point-of-care Ultrasound Images Research Articles

P83 Online Multidisciplinary Review of Point of Care Ultrasound Images During the COVID-19 Pandemic

Point-of-care-ultrasound (POCUS) is a valuable diagnostic tool in intensive care. Evaluation of POCUS images acquired in our intensive care unit (ICU) prior to the COVID-19 pandemic had typically been performed solely at the point of care. Where further evaluation was required, cross-sectional thoracic imaging or departmental echocardiography would be requested. Clinicians also had access to ICU ultrasound machines for review of images, or to repeat studies for clarification of findings. However, the nature of the pandemic limited access to ICU to minimise contact with COVID-19.ObjectivesWe aimed to develop an online solution for review of POCUS images by the multidisciplinary team (MDT).MethodsMicrosoft Teams was utilised to create a dedicated channel for the MDT to review POCUS images. Images were exported from ultrasound machines used inside our ICU to portable USB drives in standard formats (DICOM or WMV). The portable USB drives were decontaminated prior to transfer outside of the ICU. Anonymised images were uploaded with relevant clinical details to the Teams platform for MDT review.ResultsThe online platform provided rapid access to images for review by the MDT. POCUS images from ICU patients with and without COVID-19 were reviewed. MDT review frequently led to a change in patient management. Significant examples included identification of a missed inferior vena cava thrombus leading to initiation of anticoagulation therapy, and rapid expert input for a case of cardiac tamponade.ConclusionThe use of an online platform allowed our intensive care unit to establish a reliable method for images acquired from point-of-care-ultrasound to be remotely reviewed by an expert multidisciplinary team, consequently improving patient care.

Evaluating a longitudinal point-of-care-ultrasound (POCUS) curriculum for pediatric residents

BackgroundPOCUS is a growing field in medical education, and an imaging modality ideal for children given the lack of ionizing radiation, ease of use, and good tolerability. A 2019 literature review revealed that no US pediatric residency programs integrated obligatory POCUS curricula. Our objective was to provide a formalized POCUS curriculum over multiple years, and to retrospectively assess improvement in resident skills and comfort.MethodsDuring intern year, pediatric residents received didactics and hands-on scanning opportunities in basic POCUS applications. Their evaluation tools included pre- and post-surveys and tests, and a final performance exam. In the second and third years of residency, all participants were required to complete 8 hours per year of POCUS content review and additional hands-on training. An optional third-year curriculum was offered to interested residents as career-focused education elective time.ResultsOur curriculum introduced POCUS topics such as basic and advanced cardiac, lung, skin/soft tissues and procedural based ultrasound to all pediatric residents. Among first-year residents, application-specific results showed POCUS comfort level improved by 61–90%. Completed evaluations demonstrated improvement in their ability to recognize and interpret POCUS images. Second- and third-year residents reported educational effectiveness that was rated 3.9 on a 4-point Likert scale. Four third-year residents took part in the optional POCUS elective, and all reported a change in their practice with increased POCUS incorporation.ConclusionsOur longitudinal pediatric residency POCUS curriculum is feasible to integrate into residency training and exhibits early success.

Use of Hand-motion Analysis to Assess Competence and Skill Decay for Cardiac and Lung Point-of-care Ultrasound.

Assessment of competence in technical skills, including point-of-care ultrasound (POCUS), is required before a novice can safely perform the skill independently. Ongoing assessment of competence is also required because technical skills degrade over time, especially when they are infrequently performed or complex. Hand-motion analysis (HMA) is an objective assessment tool that has been used to evaluate competency in many technical skills. The purpose of this study was to demonstrate the feasibility and validity of HMA as an assessment tool for competence in both simple and complex technical skills as well as skill degradation over time. This prospective cohort study included 36 paramedics with no POCUS experience and six physicians who were fellowship trained in POCUS. The novices completed a 4-hour didactic and hands-on training program for cardiac and lung POCUS. HMA measurements, objective structured clinical examinations (OSCE), and written examinations were collected for novices immediately before and after training as well as 2 and 4months after training. Expert HMA metrics were also recorded. Expert HMA metrics for cardiac and lung POCUS were significantly better than those of novices. After completion of the training program, the novices improved significantly in all HMA metrics, knowledge test scores, and OSCE scores. Novices showed skill degradation in cardiac POCUS based on HMA metrics and OSCE scores while lung POCUS image acquisition skills were preserved. Novices deemed competent by OSCE score performed significantly better in HMA metrics than those not deemed competent. We have demonstrated that HMA is a feasible and valid tool for assessment of competence in technical skills and can also evaluate skill degradation over time. Skill degradation appears more apparent in complex skills, such as cardiac POCUS. HMA may provide a more efficient and reliable assessment of technical skills, including POCUS, when compared to traditional assessment tools.

Simulator-based ultrasound training for identification of endotracheal tube placement in a neonatal intensive care unit using point of care ultrasound

BackgroundSimulators are an extensively utilized teaching tool in clinical settings. Simulation enables learners to practice and improve their skills in a safe and controlled environment before using these skills on patients. We evaluated the effect of a training session utilizing a novel intubation ultrasound simulator on the accuracy of provider detection of tracheal versus esophageal neonatal endotracheal tube (ETT) placement using point-of-care ultrasound (POCUS). We also investigated whether the time to POCUS image interpretation decreased with repeated simulator attempts.MethodsSixty neonatal health care providers participated in a three-hour simulator-based training session in the neonatal intensive care unit (NICU) of Aga Khan University Hospital (AKUH), Karachi, Pakistan. Participants included neonatologists, neonatal fellows, pediatric residents and senior nursing staff. The training utilized a novel low-cost simulator made with gelatin, water and psyllium fiber. Training consisted of a didactic session, practice with the simulator, and practice with intubated NICU patients. At the end of training, participants underwent an objective structured assessment of technical skills (OSATS) and ten rounds of simulator-based testing of their ability to use POCUS to differentiate between simulated tracheal and esophageal intubations.ResultsThe majority of the participants in the training had an average of 7.0 years (SD 4.9) of clinical experience. After controlling for gender, profession, years of practice and POCUS knowledge, linear mixed model and mixed effects logistic regression demonstrated marginal improvement in POCUS interpretation over repeated simulator testing. The mean time-to-interpretation decreased from 24.7 (SD 20.3) seconds for test 1 to 10.1 (SD 4.5) seconds for Test 10, p < 0.001. There was an average reduction of 1.3 s (β = − 1.3; 95% CI: − 1.66 to − 1.0) in time-to-interpretation with repeated simulator testing after adjusting for the covariates listed above.ConclusionWe found a three-hour simulator-based training session had a significant impact on technical skills and performance of neonatal health care providers in identification of ETT position using POCUS. Further research is needed to examine whether these skills are transferable to intubated newborns in various health settings.Trial registrationClinicalTrials.gov Identifier: NCT03533218. Registered May 2018.

Exploring Eye-tracking Technology as an Assessment Tool for Point-of-care Ultrasound Training.

Eye-tracking technology has emerged as a potentially useful learner assessment tool in several medical specialties. In the fields of general surgery and anesthesiology, it has been shown to reliably differentiate between different levels of expertise in procedural skills. In the field of radiology, it has been shown to be a valid assessment tool for diagnostic test interpretation. Current methods of competency assessment in point-of-care ultrasound (POCUS) remain a challenge, because they require significant direct observation time by an instructor. The purpose of this study was to determine if eye-tracking technology can accurately distinguish between novice and experts in the interpretation of POCUS clips, specifically of the focused assessment using sonography in trauma (FAST) scan. A convenience sample of medical students, residents, and emergency physicians from a single academic emergency department were invited to participate. Participants included both novices and experts in POCUS. Each participant completed a baseline questionnaire and viewed 16 video clips of a FAST ultrasound examination while their gaze patterns were recorded by a commercially available eye-tracking device. The primary outcome was total gaze time on the area of interest (AOI). Secondary outcomes included total time to fixation, mean number of fixations, and mean duration of first fixation on the AOI. Fifteen novices and 15 experts completed this study. For total gaze time on the AOI, experts fixated their gaze significantly longer than novices (75.8±16.2 seconds vs. 56.6±12.8 seconds, p=0.001). Similarly, experts were significantly faster to fixate on the AOI and had a higher fixation count on the AOI (8.5±4.0 seconds vs. 15.1±6.8 seconds, p=0.003; and 170±30 vs. 143±28 seconds, p=0.016). There were no differences on the mean duration of first fixation on the AOI (0.42±0.12 seconds vs. 0.39±0.09 seconds, p=0.467). Eye-tracking technology shows the potential to differentiate between experts and novices by their gaze patterns on video clips of FAST examinations. The total gaze time on the AOI may be a useful metric to help in the assessment of competency in POCUS image interpretation. In addition, the evaluation of gaze patterns may help educators identify causes of interpretation errors. Future studies are needed to further validate these metrics in a larger cohort.

Point-of-care ultrasound assessment of the abdominal aorta by physician assistant students: a pilot study.

Point-of-care ultrasound (POCUS) decreases time to diagnosis and improves mortality of those diagnosed with abdominal aortic aneurysms and dissections. While medical students have demonstrated an ability to obtain adequate POCUS images of the abdominal aorta (AA), physician assistant (PA) student studies are lacking. This pilot study aims to evaluate the ability of PA students to acquire AA POCUS images. PA students, instructors, and models voluntarily participated. Student participants received online material to review several weeks before the study. During the study, students performed 4 precepted practice scans of the AA, and their fifth scan was recorded for review by three ultrasound fellowship trained Emergency Medicine physicians. Images were graded on proper identification and measurement of the AA, as well as interpretability of images. A total of 20 PA students participated. Ninety-five percent were able to obtain interpretable transverse images of the distal aorta and longitudinal views of the aorta, and 65% were able to obtain interpretable transverse images of the proximal and mid aorta. In the most rigorous evaluation of student-obtained AA POCUS images to date, we found that PA students were able to obtain adequate AA images. PA students were able to image the distal and longitudinal aorta in the transverse plane where the majority of AAAs are found to a very high degree. Results demonstrate PA students' ability to learn POCUS and encourage PA education to take steps to incorporate POCUS education and development of competency standards for PA graduates.

Are Convolutional Neural Networks Trained on ImageNet Images Wearing Rose-Colored Glasses?: A Quantitative Comparison of ImageNet, Computed Tomographic, Magnetic Resonance, Chest X-Ray, and Point-of-Care Ultrasound Images for Quality.

Deep learning for medical imaging analysis uses convolutional neural networks pretrained on ImageNet (Stanford Vision Lab, Stanford, CA). Little is known about how such color- and scene-rich standard training images compare quantitatively to medical images. We sought to quantitatively compare ImageNet images to point-of-care ultrasound (POCUS), computed tomographic (CT), magnetic resonance (MR), and chest x-ray (CXR) images. Using a quantitative image quality assessment technique (Blind/Referenceless Image Spatial Quality Evaluator), we compared images based on pixel complexity, relationships, variation, and distinguishing features. We compared 5500 ImageNet images to 2700 CXR, 2300 CT, 1800 MR, and 18,000 POCUS images. Image quality results ranged from 0 to 100 (worst). A 1-way analysis of variance was performed, and the standardized mean-difference effect size value (d) was calculated. ImageNet images showed the best image quality rating of 21.7 (95% confidence interval [CI], 0.41) except for CXR at 13.2 (95% CI, 0.28), followed by CT at 35.1 (95% CI, 0.79), MR at 31.6 (95% CI, 0.75), and POCUS at 56.6 (95% CI, 0.21). The differences between ImageNet and all of the medical images were statistically significant (P ≤ .000001). The greatest difference in image quality was between ImageNet and POCUS (d = 2.38). Point-of-care ultrasound (US) quality is significantly different from that of ImageNet and other medical images. This brings considerable implications for convolutional neural network training with medical images for various applications, which may be even more significant in the case of US images. Ultrasound deep learning developers should consider pretraining networks from scratch on US images, as training techniques used for CT, CXR, and MR images may not apply to US.

LO82: Exploring eye-tracking technology to assess competency in point-of-care ultrasound

Introduction: Assessment of point-of-care ultrasound (POCUS) competency has been reliant on practical, visual and written examinations performed 1-on-1 with an examiner. These tools attempt to assess competency through subjective ratings, checklists and multiple-choice questions that are labour intensive using surrogate measures. Eye-tracking has been used on a limited basis in various fields of medicine for training and assessment. This technology explores visual processing and holds great promise as a tool to monitor training progress towards the development of expertise. We hypothesize that eye-tracking may differentiate novices and experts as they progress to become competent in interpretation of POCUS images and provide an objective measure in assessment of competency. Methods: Medical students, residents and attending physicians working in an academic emergency department were recruited. Participants viewed a series of 16 ultrasound video clips in a POCUS protocol for Focused Assessment using Sonography in Trauma (FAST). The gaze pattern of the participants was recorded using a commercially available eye-tracking device. The primary outcome was the gaze parameters including total gaze time in the area of interest (AOI), average time to fixation on the AOI, number of fixations in the AOI and average duration of first fixation on the AOI. Secondary outcome was the accuracy on the interpretation of the FAST scan. Results: Four novices and eight experts completed this study. The total gaze time in the AOI (mean +/- SD) was 76.72 +/- 18.84s among experts vs 53.64 +/- 10.33s among novices (p = 0.048), average time to fixation on the AOI was 0.561 +/- 0.319s vs 1.048 +/- 0.280s (p = 0.027), number of fixations in the AOI was 158.9 +/- 29.0 vs 121.8 +/- 17.5 (p = 0.042) and average duration of first fixation was 0.444 +/- 0.119s vs 0.390 +/- 0.024s (p = 0.402). The accuracy of the answers was 79.7 +/- 14.1% vs 45.3 +/- 21.9% (p = 0.007). Conclusion: In this pilot study, eye tracking shows potential to differentiate between POCUS experts and novices by their gaze patterns. Gaze patterns captured by eye tracking may not necessarily translate to cognitive processing. However, it allows educators to visualise the thought processes of the learner by their gaze patterns and provide insight on how to guide them towards competency. Future studies are needed to further validate the metrics for competency in POCUS applications.

Does Orally-Administered Radiocontrast Impair Ultrasound Image Quality in Pediatric Patients?

IntroductionIt is commonly assumed that orally-administered radiocontrast material (ORC) preceding abdominal ultrasound (US) performance can obscure image quality and potentially impair diagnostic accuracy when assessing patients with abdominal pain. Due to this concern, ORC administration per protocol for computed tomography (CT) is often delayed until after US performance, potentially contributing to prolonged length of stay in the emergency department (ED) in patients with concern for abdominal pathology. The objective of this study was to evaluate whether early administration of ORC in children with abdominal pain receiving abdominal CT for possible appendicitis obscures subsequent abdominal US image quality.MethodsWe designed a prospective observational study of children <18 years of age presenting to a pediatric ED with abdominal pain who were set to receive ORC prior to obtaining an abdominal CT. These patients received a point-of-care ultrasound (POCUS) of the abdomen to assess the abdominal aorta and right lower quadrant (RLQ) structures (psoas muscle and iliac vessels) pre- and post-ORC administration. Images were compared independently by two blinded emergency US-certified physician-assessors for quality, specifically to determine whether ORC obscured the anatomical structures in question.ResultsA total of 17 subjects were enrolled, and each subject had two POCUS studies of the abdomen, one pre- and one post-ORC administration looking to visualize the anatomy of the RLQ and abdominal aorta in both studies. Statistical analysis showed no significant differences in mean values of POCUS image quality scoring by two blinded US-trained physician-assessors for either RLQ structures or abdominal aorta when performed pre- and post-administration of ORC.ConclusionEarly ORC administration in children with abdominal pain does not adversely affect image quality of a subsequently performed abdominal US. Patients who may require abdominal CT to determine the etiology of abdominal pain can receive early administration of ORC prior to US performance to help minimize ED length of stay without impairing US diagnostic accuracy.

Interpretation Accuracy and Interrater Agreement of Pediatric Skin and Soft Tissue Point-of-Care Ultrasound Images among Residents and Faculty.

Point-of-care ultrasound (POCUS) is commonly used to facilitate care in the emergency department. Acquired images are often reviewed by local experts for educational and quality assurance purposes. However, no published study has examined the accuracy and reliability of POCUS image interpretation by multiple reviewers. We studied the accuracy and interrater agreement among expert and trainee reviewers of prerecorded pediatric skin and soft tissue (SST) POCUS images. POCUS faculty and emergency medicine (EM) residents blindly reviewed deidentified pediatric SST POCUS images and indicated whether a drainable fluid collection was present, absent, or indeterminate. This was then compared with the gold standard based on discharge diagnoses and telephone follow-up. Images rated as indeterminate were excluded from the initial analysis. Sensitivity analysis assuming indeterminate answers were inaccurate was subsequently conducted. In phase 1, 6 pediatric EM POCUS directors reviewed 168 images. The overall accuracy was 79.7% (range 66.1-86.0%). The mean Cohen's kappa was 0.58 (range 0.24-0.84). Sensitivity analysis yielded an overall accuracy of 71.3% (range 56.5-76.9%) and a Cohen's kappa of 0.43 (range 0.20-0.59). In phase 2, 6 general EM POCUS faculty and 20 EM residents reviewed 120 images. The overall accuracy among residents was 72.2% (range 51.4-84.7%) and among faculty was 83.6% (range 77.9-88.8%). Sensitivity analysis yielded an overall resident accuracy of 63.0% (range 49.5-80.7) and an overall faculty accuracy of 73.9% (range 67.0-79.8%). Fleiss' kappa was 0.322 for residents and 0.461 for faculty. We found moderate accuracy and fair to good interrater agreement among POCUS faculty and EM residents reviewing pediatric SST POCUS images.

Ultrasound in the surgical ICU: uses, abuses, and pitfalls.

Point-of-care ultrasound (POCUS) has become an integral component of daily care in the surgical ICU. There have been many novel advancements in the past two decades, too numerous to count. Many are of critical importance to the intensive care physician, whereas others are still accumulating evidence. Without appropriate training, diligence, and incorporation of the ultrasound findings into the whole clinical picture, this technique can be gravely misused. This review examines POCUS use in the surgical ICU, as well as highlights potential hazards and common pitfalls. POCUS is essential for guidance of vascular access procedures, as well as in the characterization and treatment of respiratory failure, shock, and unstable blunt abdominal trauma. Ultrasound has growing evidence for rapidly evaluating many other diseases throughout the entire body, as well as guidance for procedures. Using advanced ultrasound techniques should only be done with corresponding levels of training and experience. Ultrasound in the critical care setting has become an essential component of the assessment of most ICU patients. As more evidence accumulates, along with ever-increasing availability of ultrasound technology, its use will continue to expand. It, thus, behoves clinicians to not only ensure they are adept at obtaining and interpreting POCUS images but also efficiently incorporate these skills into holistic bedside care without delaying lifesaving therapies.

ARTIFICIAL INTELLIGENCE ASSESSMENT OF LEFT VENTRICULAR VOLUMES AND FUNCTION ON POCUS IMAGING

A main clinical application of cardiac point-of-care ultrasound (POCUS) is Left Ventricular (LV) function. Artificial Intelligence (AI) with the use of Machine Learning may improve diagnostic accuracy and reliability, particularly for non-expert users. AI software that provides real-time determination of LV volumes and systolic function through a U-net based model to detect landmark locations and provide LV segmentation, was assessed for reliability and accuracy on POCUS compared to cart-based machine images, analyzed by both AI and human expert (ASE Level III Echocardiographer). This is a prospective study in which POCUS (Lumify, Philips) and Cart-based (iE33, Philips; Vivid E9, General Electric) images were collected by an experienced sonographer. Apical 2-chamber (AP2) and apical 4-chamber (AP4) views used for analysis. LV length and volume were calculated, at end-systole and end-diastole. LV ejection fraction (LVEF) was calculated for monoplane (AP2, AP4) and biplane Simpson’s method. Saturated linear mixed modelling was used for assessment of differences between mean values, with a Wald-test for combination of view, machine-type and cardiac cycle (SAS 9.4 with PROC MIXED procedure). Linear regression models and Wilcoxon paired rank tests conducted to assess for accuracy, with regression lines, and adjusted Rˆ2 reported. Images from 51 consecutive patients analyzed. Data from between 46 to 50 patients used for LV length, volume, and EF calculations, with specific views removed by AI software’s exclusion criteria for poor quality. Mean biplane LV volumes were higher in AI compared to expert derived values for Cart-based and POCUS devices (Table 1). Mean biplane LVEF was higher in expert derived cart-based measurements compared to AI [6.5% (95% CI: 2.1, 10.9, p-value = 0.004)]. No difference in mean biplane LVEF existed between expert-derived and AI values for POCUS devices (Table 1). Correlation between AI and expert derived LVEF was comparable for Cart-based vs. POCUS for biplane assessment (R2 = 0.42 Cart; 0.45 POCUS, Figure 1). Median difference between AI and expert derived biplane LVEF was 7.5% higher on Cart-based compared to POCUS (95% CI: 4,11, Wilcoxon p-value < 0.001). AI derived LV volumes were higher for Cart-based and POCUS images. Expert derived LVEF was found to be higher (6.5%) compared to AI on Cart-based images, with no difference on POCUS. Correlation between AI and expert derived values for both modalities was satisfactory, suggesting AI derived LV volume and EF assessment is comparable across Cart-based and POCUS images and to human expert assessment.View Large Image Figure ViewerDownload Hi-res image Download (PPT)

112 Development and Validation of a Point-of-Care Ultrasound Image Quality Assessment Tool: The POCUS IQ Scale

Despite the popularity of point-of-care ultrasound (POCUS), few tools exist to objectively evaluate image quality of a POCUS. We aimed to develop and determine validity of a scoring tool that provides feedback to sonographers on the quality of their POCUS images.

Point-of-care ultrasound for FAST and AAA in rural New Zealand: quality and impact on patient care.

Point-of-care ultrasound (POCUS) has the potential to improve access to diagnostic imaging for rural communities. This article evaluates the sensitivity and specificity, impact on patient care, quality and safety of two common POCUS examinations - focused assessment with sonography in trauma (FAST) and aortic aneurysm (AAA) - in the rural context. This study is a subgroup analysis of a larger study into POCUS in rural New Zealand. Twenty-eight physicians in six New Zealand rural hospitals, with limited access to formal diagnostic imaging, completed a questionnaire before and after POCUS scans to assess the extent to which it altered diagnostic certainty and patient disposition (discharge v admission to rural hospital v transfer to urban hospital). The investigators and a specialist panel reviewed images for technical quality and accuracy of interpretation, and patient clinical records, to determine accuracy of the POCUS findings and their impact on patient care. For FAST and AAA scans respectively, sensitivities were 75% and 100%, and specificities 100% and 93%; rural doctors correctly interpreted their POCUS images for 97% and 91% of scans. The proportions of scans that had either a 'significant' or 'major' impact on patient care were 17% and 31%. POCUS resulted in the disposition being de-escalated for 15% and 10% of patients and escalated for 5% and 3% of patients. In the rural context, POCUS AAA is a reliable 'rule out' test for ruptured abdominal aortic aneurysm and FAST scan has a role as a 'rule in' test for solid organ injury. These findings are consistent with larger studies in the emergency medicine literature.

The Variable Journey in Learning to Interpret Pediatric Point-of-care Ultrasound Images: A Multicenter Prospective Cohort Study.

To complement bedside learning of point-of-care ultrasound (POCUS), we developed an online learning assessment platform for the visual interpretation component of this skill. This study examined the amount and rate of skill acquisition in POCUS image interpretation in a cohort of pediatric emergency medicine (PEM) physician learners. This was a multicenter prospective cohort study. PEM physicians learned POCUS using a computer-based image repository and learning assessment system that allowed participants to deliberately practice image interpretation of 400 images from four pediatric POCUS applications (soft tissue, lung, cardiac, and focused assessment sonography for trauma [FAST]). Participants completed at least one application (100 cases) over a 4-week period. We enrolled 172 PEM physicians (114 attendings, 65 fellows). The increase in accuracy from the initial to final 25 cases was 11.6%, 9.8%, 7.4%, and 8.6% for soft tissue, lung, cardiac, and FAST, respectively. For all applications, the average learners (50th percentile) required 0 to 45, 25 to 97, 66 to 175, and 141 to 290 cases to reach 80, 85, 90, and 95% accuracy, respectively. The least efficient (95th percentile) learners required 60 to 288, 109 to 456, 160 to 666, and 243 to 1040 cases to reach these same accuracy benchmarks. Generally, the soft tissue application required participants to complete the least number of cases to reach a given proficiency level, while the cardiac application required the most. Deliberate practice of pediatric POCUS image cases using an online learning and assessment platform may lead to skill improvement in POCUS image interpretation. Importantly, there was a highly variable rate of achievement across learners and applications. These data inform our understanding of POCUS image interpretation skill development and could complement bedside learning and performance assessments.

Internal medicine residents' point-of-care ultrasound skills and need assessment and the role of medical school training.

Introduction: Point-of-care-ultrasound (POCUS) as a useful bedside tool is growing. Few studies have examined residents’ attitude towards POCUS or compared POCUS image interpretation skills between residents with and without POCUS training in medical school.Material and Methods: We distributed an anonymous survey and image interpretation test to assess residents’ attitude towards POCUS, confidence, and skills in interpreting POCUS images and videos. Using independent samples t-tests, we compared mean confidence levels and test scores between residents with and without prior POCUS training.Results: Fifty-two residents responded to survey (response rate 68%) and 59 took the image interpretation test (77%). Most residents (90%) reported being interested in POCUS. Residents with prior POCUS training (n=13) were either PGY-1 (9) or PGY-2 (4). No PGY-3 resident had prior training. Most residents (83%) thought POCUS could be extremely useful in the inpatient setting compared to 29% for outpatient setting. PGY-1 residents with prior training had a higher mean confidence level than PGY-1 residents without prior training, but the difference was not statistically significant (3.26 vs 2.64; p=0.08). PGY-1 with prior training had a mean confidence level that was close to that of PGY-3 residents. PGY-1 residents with prior training scored significantly higher than PGY-1 residents without prior training in image interpretation test (10.25 vs 7; p=0.01). Residents felt most confident in interpreting inferior vena cava images (mean 3.7; max. 5), which also had the highest score in image interpretation test (correct response rate of 88%).Conclusion: Our residents seem very interested in POCUS. PGY-1 residents with prior POCUS training in medical school seem to have higher confidence in their POCUS skills than PGY-1 residents without prior training and outperformed them in image interpretation test. The study is very instructive in building our future POCUS curriculum for residents.

Ethical Implications for Potential Placebo Effects of Point of Care Ultrasound.

Anecdotally, practitioners of point of care ultrasound (POCUS) describe instances where patients appear to experience a placebo-like response after the examination, also described as a positive care effect. Extensive study of therapeutic ultrasound has yet to reveal differences between intervention and placebo, both of which respond to therapy. Indeed, POCUS is exemplary in incorporating many components known to modulate placebo-like effects. Patient expectations, ritualistic aspects of hands-on care, symbolic power of sophisticated medical instruments, the power of real-time POCUS images, therapeutic practitioner-patient communication, and the effect of cultural and linguistic concordance all have significant potential to modulate positive or negative care effects of POCUS. Drawing from complementary and alternative medicine's discussion of characteristic and incidental factors, this review argues that POCUS should be studied as a complex medical intervention intertwined with and inextricable from diagnostic and care processes in the hospital setting. Since POCUS is a diagnostic tool with care effect potential, its similarity to the physical exam can guide preliminary ethical guidance on disclosure of potential placebo effects or efforts to maximize that potential effect. However, more data is needed to balance the benefits and risks of effective diagnosis and overdiagnosis, respectively.

The superiority of point of care ultrasound in localizing central venous line tip position over time.

The primary objective was to study agreement between X-rays and point of care ultrasound (POC-US) in determining central venous line (CVL) tip position. The secondary objective was to examine malposition rates over time using POC-US. Fifty-six neonates were enrolled who had a CVL placed. Initial X-rays and POC-US were obtained. POC-US was performed daily thereafter for the total of 6days. US video clips were acquired in four standard echocardiographic views: subcostal, four-chamber, and short- and long-axis parasternal views. Gwet's agreement coefficient (AC1) for agreement measured inter-rater reliability of X-rays and POC-US (correct position/malposition). A generalized linear mixed model for binary clustered data estimated malposition rate over time. All analyses were conducted using SAS version 9.4 and Agree Stat. The study included 108 "pairs" of X-rays and POC-US images. Agreement coefficient (AC1), with respect to correct position/malposition of CVL tip, was high AC1 = 0.872 (UVC-AC1 = 0.814, PICC-AC1 = 0.94). Among birth weight (BW) < 1000g, 1000-1499g, and BW > 1500g, AC1 values were 0.922, 0.774, and 0.873, respectively. CVL tip malposition rate decreased over time.Conclusions: Agreement between POC-US and X-rays for CVL tip position was high, with the highest in BW < 1000g. The data suggest that POC-US can be used for initial confirmation and follow up of CVL tip position. What is Known • X-ray is currently the gold standard for localizing central venous line (CVL) tip position. • Malposition of CVL tip can lead to life-threatening complications. What is New • POC-US is superior to X-ray as it can follow CVL tip position over time, detecting malpositioned lines, adjusting them in a timely manner thus preventing complications. • Standardizing CVL placement, X-ray acquisition, POC-US acquisition with four views with video clips and ultrasound operator training increases accuracy and thus agreement between X-ray and POC-US. • UVC tip is more likely to be malpositoned than PICC tip. Malposition of UVC tip using POC-US decreased over time due to shrinking of the umbilical cord in the first 48 of life.

Skills acquisition for novice learners after a point-of-care ultrasound course: does clinical rank matter?

BackgroundFew studies have compared the effectiveness of brief training courses on point-of-care ultrasound (POCUS) skill acquisition of novice attending physicians vs. trainees. The purpose of this study was to evaluate the change in POCUS image interpretation skills and confidence of novice attending physicians vs. trainees after a 1-day POCUS training course.MethodsA 1-day POCUS training course was held in March 2017 in Japan. A standardized training curriculum was developed that included online education, live lectures, and hands-on training. The pre-course assessment tools included a written examination to evaluate baseline knowledge and image interpretation skills, and a physician survey to assess confidence in performing specific ultrasound applications. The same assessment tools were administered post-course, along with a course evaluation. All learners were novices and were categorized as trainees or attending physicians. Data were analyzed using two-way analysis of variance.ResultsIn total, 60 learners attended the course, and 51 learners (85%) completed all tests and surveys. The 51 novice learners included 29 trainees (4 medical students, 9 PGY 1–2 residents, 16 PGY 3–5 residents) and 22 attending physicians (6 PGY 6–10 physicians, and 16 physicians PGY 11 and higher). The mean pre- and post-course test scores of novice trainees improved from 65.5 to 83.9% while novice attending physicians improved from 66.7 to 81.5% (p < 0.001). The post-course physician confidence scores in using ultrasound significantly increased in all skill categories for both groups. Both trainees and attending physicians demonstrated similar improvement in their post-course test scores and confidence with no statistically significant differences between the groups. The course evaluation scores for overall satisfaction and satisfaction with faculty members’ teaching skills were 4.5 and 4.6 on a 5-point scale, respectively.ConclusionsBoth novice trainees and attending physicians showed similar improvement in point-of-care ultrasound image interpretation skills and confidence after a brief training course. Although separate training courses have traditionally been developed for attending physicians and trainees, novice learners of point-of-care ultrasound may acquire skills at similar rates, regardless of their ranking as an attending physician or trainee. Future studies are needed to compare the effectiveness of short training courses on image acquisition skills and determine the ideal course design.

Point-of-Care Ultrasound Needs Assessment, Curriculum Design, and Curriculum Assessment in a Large Academic Internal Medicine Residency Program.

Internal medicine (IM) residency point-of-care ultrasound (POCUS) curricula are being developed but often are limited in scope or components. In this article, we discuss the demonstration of a need for POCUS training in our large academic IM residency program; the development of a longitudinal curriculum; and the impact of the curriculum on POCUS knowledge, use, and confidence. In 2014, we designed a cross-sectional POCUS survey and knowledge test for all IM residents at the University of California, San Francisco. The results of this assessment drove the design of a longitudinal POCUS curriculum that included a 2-hour workshop for all IM interns and a 1-month elective offered to all IM residents. Residents were tested on their POCUS knowledge and image interpretation before the elective and were given the same test 6 months after the elective. The posttest included a survey of self-reported POCUS use and confidence. In the needs assessment, residents scored a mean of 27% on the knowledge test, and across all applications the percentage of residents reporting confidence in their POCUS skills was lower than the percentage reporting use of the application in clinical practice. Residents scored a mean of 37% on the elective pretest and 74% on the posttest, an increase of 37% (95% confidence interval 31.6-42.8, P < 0.001), with improvements seen across all applications. After the elective, self-reported use of POCUS and confidence in POCUS skills were increased for the applications, using the needs assessment as an approximate baseline. For core cardiac and pulmonary applications, 76% to 95% of residents, depending on application, reported "high" or "very high" use and 79% to 100% reported "high" or "very high" confidence in their POCUS skills. We used a needs assessment to guide the development of a longitudinal, multidisciplinary POCUS curriculum. Residents who completed all components showed substantial long-term gains in knowledge in all major applications and high use of and confidence in cardiac and pulmonary applications.