Point-of-care Ultrasound Images Research Articles

Effectiveness of a Brief Point of Care Ultrasound Course at a National Nephrology Conference.

The rising demand for point of care ultrasound (POCUS) instruction during nephrology fellowship has been limited due to a shortage of trained faculty and courses designed specifically for nephrologists. A hands-on POCUS pre-course was organized during the April 2023 National Kidney Foundation (NKF) Spring Clinical Meeting to address this challenge. The course consisted of pre-recorded lectures and a 4-hour hands-on workshop guided by multidisciplinary POCUS experts. The anonymous post-course survey received responses from 25 out of 39 participants, yielding a 64.1% response rate. On a scale of 0-10, confidence levels for acquiring kidney images rose from 2.6 + 2.3 (mean + SD) pre-workshop to 7.8 + 1.5 post-workshop (p<0.001). Similarly, a remarkable improvement in confidence for acquiring lung and cardiac images was seen as scores increased from 1.8 + 2.4 to 7.7 + 1.5 (p<0.001) and from 1.5 + 2.2 to 7.2 + 1.3 (p<0.001), respectively. Additionally, respondents reported a substantial improvement in their confidence to interpret kidney, lung, and cardiac POCUS images, with scores increasing from 4.5 + 2.2 to 7.7 + 1.1 (p<0.001), 2.3 + 2.4 to 7.6 + 1.5 (p<0.001), and 2 + 2 to 7.3 + 1.5 (p<0.001), respectively. Barriers to implementing POCUS use at institutions included a perceived lack of trained faculty, limited protected time for faculty, and insufficient support from division leadership. The NKF POCUS pre-course successfully improved participants' confidence in acquiring and interpreting basic POCUS images.

Emergency Physician Performed Ultrasound-Guided Abdominal Paracentesis: A Retrospective Analysis.

Emergency physicians commonly perform ultrasound-assisted abdominal paracentesis, using point of care ultrasound (POCUS) to identify ascites and select a site for needle insertion. However, ultrasound-guided paracentesis has the benefit of real-time needle visualization during the entire procedure. Our objective was to characterize the performance of emergency physician-performed ultrasound-guided paracentesis using POCUS, their ability to achieve good in-plane needle visualization, and factors associated with procedural success. A POCUS database was retrospectively reviewed for examinations where abdominal paracentesis was performed by an emergency physician at two academic urban emergency departments over a six-year period. Medical records were reviewed for demographics, presenting history, complications, and hospital course. Descriptive statistics were used to summarize the data. 131 patients were included in the final analysis. The success rate for ultrasound-guided paracentesis was 97.7% (84/86 [95% CI: 92-100%]) compared to 95.6% (43/45 [95% CI: 85-99%]) for ultrasound-assisted paracentesis (p=0.503). 58% (50/86) demonstrated good in-plane needle visualization; 17% (15/86) had partial or out-of-plane visualization; and 24% (21/86) did not demonstrate needle visibility on their saved POCUS images. All four procedural failures were performed by first- or second-year residents using a curvilinear transducer, while all procedures using a linear transducer were successful. The most common complications were ascites leak, infection at the site, and minor bleeding. Emergency physicians with training in real-time needle guidance with ultrasound were able to use POCUS to perform ultrasound-guided paracentesis in the emergency department with a high success rate and no fatal complications. Based on our experience, we recommend performing ultrasound-guided paracentesis using a linear transducer, with attention to identifying vessels near the procedure site and maintaining sterile technique.

Trends in Point of Care Ultrasound Familiarity Among Undergraduate Medical Clerkship Educators.

Despite growing use of point of care ultrasound (POCUS), there remains a paucity of data about familiarity with POCUS among educators who dictate curricular content in undergraduate medical education. This paper aims to longitudinally characterize the level of comfort and frequency of POCUS use among faculty involved in undergraduate clerkship education. A web-based cross-sectional survey assessing comfort, frequency of use, and awareness of indications for POCUS among faculty involved in Internal Medicine, Family Medicine, and Surgery undergraduate clerkship education in a single urban academic medical center in 2016 and again in 2022. A total of 45 responses from 2016 and 30 responses from 2022 are included. The percentage of faculty "not comfortable" with performing POCUS decreased from 78% to 46%, although the overall change in comfort was not statistically significant. Comfort interpreting POCUS images, frequency of POCUS use, and familiarity with the clinical applications of POCUS all improved. Faculty identified multiple barriers to more frequent POCUS use. Over a six-year period at one urban, academic medical center, comfort with POCUS and frequency of use have increased slightly but remain low among core faculty responsible for clerkship education. There are still large gaps in knowledge and very few faculty regularly use POCUS, which can be attributed to multiple different barriers.

Current Use and Barriers to Point-of-Care Ultrasound in Rheumatology: A National Survey of VA Medical Centers.

Point-of-care ultrasound (POCUS) can assist rheumatologists in monitoring disease activity, establishing diagnoses, and guiding procedural interventions. POCUS use has been increasing, but little is known about current use and barriers among rheumatologists.The purpose of this study was to characterize current POCUS use, training needs, and barriers to use among rheumatologists in practice. A prospective observational study of all Veterans Affairs (VA) medical centers was conducted using a web-based survey sent to all chiefs of staff and rheumatology chiefs about current POCUS use, training needs, barriers, and policies. All chiefs of staff (n = 130) and rheumatology chiefs at VA medical centers (n = 95) were surveyed with 100% and 84% response rates, respectively.The most common diagnostic POCUS applications were evaluation of synovitis, joint effusion, tendinopathies, bursitis, and rotator cuff. The most common procedural applications were arthrocentesis and joint, bursa, and tendon injection. Most rheumatology chiefs (69%) expressed interest in training for their group. The most common barriers to POCUS use were lack of trained providers (68%), funding for training (54%), training opportunities (38%), funding for travel (38%), and ultrasound equipment (31%). Lack of POCUS infrastructure was common, and few facilities had POCUS policies (20%), image archiving (25%), or quality assurance processes (6%). Currently, half of rheumatology groups use diagnostic and procedural ultrasound applications. Most rheumatology groups desire training, and lack of training and equipment were the most common barriers to ultrasound use. Deliberate investment is needed in ultrasound training and infrastructure for systematic adoption of POCUS in rheumatology. Graphical Abstractavailable for this article. NCT03296280.

A 12-year Retrospective Cohort Study of Point-of-care Ultrasound and Aortic Dissection Risk Score in Type A Aortic Dissection

BackgroundAortic dissection (AD) is a vascular emergency with time-dependent mortality. Point-of-care ultrasound (POCUS) and aortic dissection risk score (ADRS) have been proposed as diagnostic tools to risk stratify patients and reduce time to diagnosis. ObjectiveWe evaluate POCUS findings and ADRS in a retrospective cohort of patients with known type A AD. The objective of this study is to describe the prevalence of POCUS findings and ADRS in this population. MethodsThis is a retrospective cohort study of patients with acute type A AD as confirmed on CT scan over a 12-year period from 2008-2020, with a subgroup analysis of patients who received POCUS in the emergency department. ADRS was calculated and POCUS findings were reviewed. Descriptive statistics were used to describe the distribution of POCUS findings. Results91 patients met inclusion criteria. POCUS was performed in 41 but only 35 had images of adequate quality for inclusion. Of the POCUS images available, 30/35 (86%) patients had a POCUS finding consistent with dissection and 5/35 (14%) had no findings on POCUS. 12% (11/91) of patients had ADRS=0. Two patients with ADRS=0 received POCUS, and 1 patient had no findings on POCUS. ConclusionAlthough POCUS provides rapid information in the diagnosis of type A AD, 14% of patients with images available for review had no findings on POCUS. Of the whole cohort, 12% had an ADRS=0. Further studies are needed to identify an optimal diagnostic pathway for this catastrophic disease.

Incidental Renal Cysts Found by Point-of-Care Ultrasound: A Retrospective Chart Review

BackgroundIncidental findings are unrelated to a patient's complaint, found on diagnostic imaging, such as point-of-care ultrasound (POCUS). Incidental findings represent potential harms to patients and may lead to increased patient anxiety and health care costs related to downstream testing and surveillance. Study ObjectivesIn this study, we aimed to calculate the rate of incidental renal cysts found by POCUS. Further, we hoped to describe how emergency physicians relay the findings to patients. Lastly, we hoped to examine if patients suffered harms in the 12 months following identification of an incidental renal cyst. MethodsFrom our single-center, academic emergency department (ED), we reviewed renal POCUS images from 1000 consecutive adult ED patients to determine if there was a renal cyst. Next, we performed manual chart review to determine if patients were informed of the incidental renal cyst or suffered any patient harms. ResultsWe found the prevalence of renal cysts to be 6.5% (95% confidence interval: 4.9%–8.4%). Those with cysts were more likely to be older compared to those without (63 ± 14 vs. 49 ± 15 years of age). Only 8% of patients had evidence that they were informed of their incidental renal cyst. No patients received a biopsy or were diagnosed with renal cell carcinoma or polycystic kidney disease. ConclusionIncidental renal cysts are common and are more likely to be found in older adults. In our study, physicians infrequently informed patients of their incidental finding.

POCUS for Infectious Enteritis-A Retrospective Case Series Analysis.

The abdominal pain associated with diarrhea can be difficult to distinguish from appendicitis. We present a case series of all children found on pediatric emergency department point-of-care ultrasound (POCUS) to have right-sided bowel wall edema. Over the study period June 2020 through September 2023, POCUS images were collected by a pediatric emergency physician with 6 years of experience with POCUS. Children found to have small bowel wall edema on POCUS were identified, and hospital charts were reviewed. One hundred thirteen children were found on POCUS to have right-sided small bowel wall edema. Thirty-one (27%) were referred by their pediatrician or urgent care provider to evaluate for appendicitis. Seventy-eight children (69%) provided stool samples. Of those, 58% resulted Campylobacter, 8% Salmonella, and 8% Shigella. Forty (35%) were discharged after POCUS without further evaluation. One child in our case series was subsequently diagnosed with uncomplicated appendicitis. To date, no child in the series has subsequently been diagnosed with inflammatory bowel disease. Enteritis can initially be difficult to distinguish on clinical grounds from acute appendicitis. Bowel wall edema on POCUS in a child without sonographic signs of appendicitis strongly suggests bacterial enteritis. Early POCUS demonstrating enteritis without signs of appendicitis may decrease hospital resource usage.

Cranial Point-of-Care Ultrasound for Neonatal Providers: A Feasibility Study.

Despite strong evidence for its utility in clinical management and diagnosis of intracranial hemorrhage (ICH), the use of neonatal cranial point-of-care ultrasound (POCUS) has not been standardized in neonatal intensive care units (NICUs) in the United States. The primary aim of this study was to evaluate the feasibility of training NICU providers to perform cranial POCUS by tracking the quality of image acquisition following training. Observational single-center cohort study of cranial POCUS images obtained by trained neonatal practitioners (attendings, fellows, and advanced practice providers) using a protocol developed by a radiologist and neonatologist. Exams were performed on infants born ≤1250 g and/or ≤30 weeks gestation within the first 3 days after birth. A survey to assess attitudes regarding cranial POCUS was given before each of three training sessions. Demographic and clinical data collection were portrayed with descriptive statistics. Metrics of image quality were assessed by a radiologist and sonographer independently. Analysis of trends in quality of POCUS images over time was performed using a multinomial Cochran-Armitage test. Eighty-two cranial POCUS scans were performed over a 2-year period. Infant median age at exam was 14 hours (IQR 7-22 hours). Metrics of image quality depicted quarterly demonstrated a significant improvement in depth (P = .01), gain (P = .048), and quality of anatomy images captured (P < .001) over time. Providers perceived increased utility and safety of cranial POCUS over time. Cranial POCUS image acquisition improved significantly following care team training, which may enable providers to diagnose ICH at the bedside.

Point-of-care ultrasound (POCUS): Assessing patient satisfaction and socioemotional benefits in the hospital setting.

Point-of-care ultrasound (POCUS) is an imaging modality used to make expedient patient care decisions at bedside. Though its diagnostic utility has been extensively described, POCUS is not yet considered standard of care in inpatient settings. Data from emergency department settings suggest that POCUS may yield socioemotional benefits beyond its diagnostic utility; furthermore, elements of the POCUS experience are known to promote placebo effects. These elements likely contribute to a placebo-like "POCUS positive care effect" (PPCE) with socioemotional benefits for receptive patients. Our objective is to provide the first characterization of the PPCE and its facilitating factors in an inpatient setting. In this novel mixed-methods study, we recruited 30 adult patients admitted to internal medicine floors in an urban academic medical center, recorded observations during their routine POCUS encounters, and administered post-encounter surveys. We conducted complementary quantitative and qualitative analyses to define and assess the magnitude of the PPCE. We also aimed to identify factors associated with and facilitating receptiveness to the PPCE. The results indicated that POCUS improves patients' satisfaction with their hospital providers and care overall, as well as perceived care efficiency. Mutual engagement, strong therapeutic alliances, and interpreting POCUS images to provide reassurance are most closely associated with this PPCE. Patients who have lower anxiety levels, less severe illness, and received efficient care delivery during their hospitalizations are most receptive to the PPCE. We conclude that diagnostic POCUS has the potential to exert a positive care effect for hospitalized patients. This PPCE is associated with modifiable factors at the patient, provider, and environment levels. Together, our findings lay the groundwork for an optimized "therapeutic POCUS" that yields maximal socioemotional benefits for receptive patients.

Abstract 12544: Point-of-Care Ultrasound Estimation of Right Atrial Pressure Predicts Early Readmission in Patients With Acute Decompensated Heart Failure

Introduction: We previously developed and validated a highly accurate non-invasive, point-of-care ultrasound (POCUS) technique that uses right internal jugular vein (RIJV) compliance to predict elevated right atrial pressure (RAP). We sought to determine whether this POCUS technique would predict 30-day readmission in acute decompensated heart failure (ADHF) patients. Hypothesis: POCUS-based estimation of RAP at the time of discharge can predict 30-day readmission in patients with ADHF. Methods: In this prospective cohort study, consecutive patients admitted with ADHF were screened for eligibility. POCUS images of the RIJV at end-expiration and at maximal expansion during Valsalva were collected daily during the patient’s stay. To assess compliance, the change in cross-sectional area (CSA) of the RIJV induced by Valsalva was calculated using ImageJ and referred to as the distensibility index (DI). From ROC analysis, a DI≥66% was considered negative for elevated RAP while a DI&lt;66% was considered positive (PPV 87%). 30 days post-discharge, readmission data were collected from patients’ EMR and a follow-up phone call. Sensitivity/specificity and predictive value analyses were conducted based on readmission data for those discharged with positive and negative tests. Results: A total of 237 admitted patients were eligible for this analysis. Patients discharged with a POCUS-estimated elevated RAP had a 30 day readmission rate 3.5 times greater than those discharged with normal POCUS-estimated RAP (26.7% vs 7.6%). POCUS-based normal RAP at discharge had a 92.4% negative predictive value (NPV) for avoiding 30-day readmission (P&lt;.001). A subset of patients in this cohort (n=81) were admitted to a local community hospital. In this setting, POCUS estimation of RAP at discharge had a 95.7% NPV (P&lt;.001) for avoiding 30-day readmission, and patients discharged with a POCUS-based elevated RAP had a 30-day readmission rate 9.6 times greater than those discharged with a normal POCUS test (41.2% vs 4.3%) . Conclusions: POCUS estimation of RAP strongly predicts avoidance of 30-day readmission for ADHF. Using this technique to guide discharge planning, potentially to reduce readmission for ADHF, deserves further investigation in a prospective randomized trial.

Can you teach a hands-on skill online? A scoping review of e-learning for point-of-care ultrasound in medical education.

There is an increasing need and interest in teaching point-of-care ultrasound (POCUS) online. The objective of this study was to systematically review the literature regarding e-learning as a method for teaching POCUS in medical education, to assess the benefits and limitations of various styles of e-learning for POCUS, and to identify gaps in the literature that could help guide future research in this field. A literature search was conducted on three databases including MEDLINE (Ovid), EMBASE and Cochrane Central Register of Controlled Clinical Trials on October 12, 2021, retrieving a total of 1630 studies. 31 studies met the inclusion and exclusion criteria. These studies were separated into different styles of e-learning and learner outcomes were analyzed based on Kirkpatrick's hierarchy. The studies were categorized into three styles of e-learning: a) blended learning b) online-only (asynchronous or synchronous) and c) use of handheld machines or telesonography. POCUS knowledge and image interpretation were successfully taught online, however online-only learning for image acquisition was not as consistently effective. Blended learning and telesonography were beneficial for learning image acquisition skills. Generally, novice learners benefited most from e-learning. E-learning for POCUS is gaining in popularity in recent years. POCUS is a complex technical skill, and depending on the individual task being taught, different styles of e-learning may be more successful. These findings can inform future POCUS educational programs.

Evaluation of remote radiologist-interpreted point-of-care ultrasound for suspected dengue patients in a primary health care facility in Colombia

BackgroundEarly identification of plasma leakage may guide treatment decisions in dengue patients. This study evaluated the value of point-of-care ultrasound (POCUS) to detect plasma leakage and predict hospitalization or referral to a higher level of care in suspected dengue patients under routine conditions at a primary care facility in Colombia.MethodsWe conducted a cohort study between April 2019 and March 2020 in a primary care hospital in Cali, Colombia. We prospectively included and followed 178 patients who were at least 2 years old with fever of less than 10 days and clinician-suspected dengue. A trained general practitioner performed a standardized POCUS protocol. Images were quality-rated and overread by an expert radiologist, and her results and those of the general practitioner were compared using the Kappa index. Logistic regression was used to identify factors associated with plasma leakage at enrollment and explore its prognostic value regarding hospital admission or referral to a higher level of care.ResultsHalf (49.6%) POCUS images were of suitable quality to be interpreted. The proportion of plasma leakage reported by the radiologist was 85.1% (95% CI: 78.6–90.2%) and 47.2% by the study physician (Kappa = 0.25, 95% CI: 0.15–0.35). The most frequent ultrasound findings were ascites (hepatorenal 87.2%, splenorenal 64%, or pelvic 21.8%) and gallbladder wall thickening (10.5%). Plasma leakage was higher in subjects with thrombocytopenia (aOR = 4, 95% CI: 1.3–12.1) and lower in patients 30–59 years old (aOR = 0.1, 95% CI: 0.0–0.4) than in those 18 years old or younger. POCUS evidence of plasma leakage (aOR = 8.2, 95% CI: 2.2–29.9), thrombocytopenia (aOR = 6.3, 95% CI: 2.4–16.0) and pulse pressure (aOR = 1.1, 95% CI: 1.07–1.2) were associated with hospital admission or referral to a higher level of care.ConclusionsUltrasound is useful to detect plasma leakage in primary care and, challenges remain to guarantee high-quality images and diagnostic accuracy, for which a standardized dengue POCUS protocol and training program is needed.Graphical

XCovNet: An optimized xception convolutional neural network for classification of COVID-19 from point-of-care lung ultrasound images

Global livelihoods are impacted by the novel coronavirus (COVID-19) disease, which mostly affects the respiratory system and spreads via airborne transmission. The disease has spread to almost every nation and is still widespread worldwide. Early and reliable diagnosis is essential to prevent the development of this highly risky disease. The computer-aided diagnostic model facilitates medical practitioners in obtaining a quick and accurate diagnosis. To address these limitations, this study develops an optimized Xception convolutional neural network, called "XCovNet," for recognizing COVID-19 from point-of-care ultrasound (POCUS) images. This model employs a stack of modules, each of which has a slew of feature extractors that enable it to learn richer representations with fewer parameters. The model identifies the presence of COVID-19 by classifying POCUS images containing Coronavirus samples, viral pneumonia samples, and healthy ultrasound images. We compare and evaluate the proposed network with state-of-the-art (SOTA) deep learning models such as VGG, DenseNet, Inception-V3, ResNet, and Xception Networks. By using the XCovNet model, the previous study's problems are cautiously addressed and overhauled by achieving 99.76% accuracy, 99.89% specificity, 99.87% sensitivity, and 99.75% F1-score. To understand the underlying behavior of the proposed network, different tests are performed on different shuffle patterns. Thus, the proposed "XCovNet" can, in regions where test kits are limited, be used to help radiologists detect COVID-19 patients through ultrasound images in the current COVID-19 situation.

An Approach to Point-Of-Care Ultrasound Evaluation of the Abdominal Aorta.

Disorders of the abdominal aorta, including aneurysms and dissection, have potentially high rates of morbidity and mortality. While computed tomography (CT) is the current gold standard to image the abdominal aorta, the process of obtaining a CT may be time-consuming, requires the use of intravenous contrast dye, and involves exposure to ionizing radiation. Point-of-care Ultrasound (POCUS) can be performed at the bedside and has excellent sensitivity and specificity for the diagnosis of abdominal aortic aneurysm and excellent specificity for the diagnosis of abdominal aortic dissection. Additionally, POCUS is non-invasive, cost-effective, lacks ionizing radiation, requires no intravenous contrast dye, and can be performed without taking the patient from a critical care area. Screening for abdominal aortic aneurysm (AAA) can be done in primary care settings as well. This article will review the approach to POCUS of the abdominal aorta to evaluate such critical pathology. In this paper, we will review the sonographic anatomy of the abdominal aorta as well as the choice of the ultrasound probe, description of POCUS image acquisition, and some pearls and pitfalls of using POCUS to aid in the diagnosis of potentially life-threatening abdominal aortic pathology.

Control charts to establish and monitor proficiency in the detection of pulmonary B-lines with Point of Care Ultrasound

Objective: Point of care ultrasound (POCUS) is a widely used clinical tool. This operator-dependent technique requires methods to establish individual benchmarks and to monitor the learning process. We present the use of the learning curve standard cumulative summation (LC-CUSUM) and CUSUM control charts to establish and monitor, respectively, the proficiency of a physician to detect pulmonary B-lines with POCUS. Materials and Methods: A training course for general practitioners was conducted to detect plasma leakage using POCUS. The trainees and an expert radiologist identified the number of pulmonary B-lines in the POCUS images of 53 hospitalized patients. The interpretation of one trainee was compared to that of the expert radiologist using LC-CUSUM and CUSUM considering image quality and anatomical site. Results and Discussion: We found that image quality was better in the apices than the bases of the lungs. The trainee learning curve differed by anatomical site and the results of LC-CUSUM and CUSUM differed when only high-quality (first scenario) or all images (second scenario) were included in the analysis. Conclusion: The LC-CUSUM and CUSUM control charts were useful to evaluate the learning curve in this case and to identify image quality as an important factor in the evaluation process. They warrant further study as graphical tools for real-time monitoring of POCUS training.

Pediatric Residents' Perceptions of a Point-of-Care Ultrasound Collaboration With Emergency Medicine.

Background Pediatric residencies expanding their point-of-care ultrasound (POCUS) education face barriers, including a lack of established curriculum and qualified educators. Prior studies report partnerships between pediatrics and pediatric emergency medicine (PEM); however, many non-PEM emergency medicine (EM) physicians with POCUS fellowship training also have experience with pediatric POCUS and represent an alternate educational partner. Objectives To improve pediatric residents' POCUS skills through collaborative education with EM and evaluate perceptions of the teaching format and instructors. Methods First through third-year pediatric residents attended a half-day didactic and hands-on session about renal, lung, and musculoskeletal (MSK) POCUS. These educational sessions were led by EM faculty with POCUS fellowship training and assisted by EM residents. Post-session surveys were administered to pediatric residents to assess prior POCUS experience, changes in confidence in acquiring and interpreting renal, lung, and MSK POCUS images, and opinions about the educational format. Statistical analyses of the post-session survey data were performed using SPSS. Results Thirty-nine pediatric residents attended the session and completed the survey of 45 total residents in the program (86.7%), with 89.7% completing 10 or fewer POCUS studies. Residents' comfort level with performing lung POCUS increased from 5.1% to 82.1% (p< .001), renal POCUS from 10.3% to 76.9% (p< .001), and MSK POCUS from 7.7% to 84.6% (p< .001). 87.2% rated the educational format as effective, and 94.9% (37/39) rated emergency medicine faculty as 'very effective' in providing ultrasound education relevant to the practice of pediatrics. Conclusion Pediatric resident POCUS education taught by EM faculty with POCUS fellowship training was well-received by pediatric residents and significantly improved confidence in acquiring and interpreting POCUS.

Point-of-Care Ultrasound Transmission for Remote Interpretation in Austere Environments

Point-of-care ultrasound (POCUS) is used in wilderness medicine and could potentially be the only imaging modality available. Cellular and data coverage is often lacking in remote areas, limiting image transmission. This study evaluates the viability of transmitting POCUS images from austere environments using slow-scan television (SSTV) image transmission methods over very-high-frequency (VHF) hand-held radio units for remote interpretation. Fifteen deidentified POCUS images were selected and encoded into an SSTV audio stream by a smartphone and transmitted over a VHF radio. A second radio and smartphone 1 to 5 mi away received and decoded the signals back into images. The original images and transmitted images were randomized into a survey graded by emergency medicine physicians using a standardized ultrasound quality assurance scoring scale (1-5 points). The difference in mean scores between the original image and transmitted image showed a 3.9% decrease in transmitted image scores, with P <0.05 on a paired t test; however, this is not likely a clinically significant decrease. Comparing transmitted images using different SSTV encodings and distances ranging up to 5 mi, 100% of survey respondents determined the images to be clinically usable. This dropped to 75% when significant artifacts were introduced. Slow-scan television image transmission is a viable option for transmitting ultrasound images in remote areas where more modern forms of communication are unavailable or not practical. Slow-scan television may have potential as another data transmission option in the wilderness, such as electrocardiogram tracings.

822-P: Machine Learning Guided Interpretation of Point-of-Care Ultrasound to Diagnose Lipohypertrophy

Objective: Using a supervised machine learning convolutional neural network (CNN) we developed a model to detect lipohypertrophy (LH) using point-of-care ultrasound (PoCUS) images. Research Designs and Methods: Using a PoCUS ultrasound machine (GE LOGIQe, 5-18 MHz probe), images were obtained by a single, blinded technician. We then split the data set into training (70%), validation (15%) and testing (15%) splits. To improve the generalizability of the model, we used image augmentation techniques (randomly changing contrast, brightness, etc). We considered recall and accuracy of our models when testing the various architectures on our testing dataset. An YOLOv5m object detection model was used to place bounding boxes around LH lesions. Results: The learning architectures investigated were VGG16, ResNet50, DenseNet169, and InceptionV3. The highest recall (76%) and accuracy (76%) was found using the DenseNet CNN architecture. As shown in the figure, YOLOv5m was able to identify LH locations with a F1 score of 0.78 and a confidence value of 0.41. Conclusions: We were able to use a DenseNet CNN architecture to automatically detect the presence of LH lesions on PoCUS images obtained at the bedside. Disclosure K.M.Madden: None. E.Bandari: None. L.Habashy: None. J.Raza: None. J.E.Kapeluto: None. G.S.Meneilly: None. Funding Allan M. McGavin Foundation

Cardiac Point-of-Care Ultrasound in Pediatric Neurocritical Care: A Case Series

Background: Pediatric brain injury is accompanied by hemodynamic perturbations complicating the optimization of cerebral physiology. Point-of-care ultrasound (POCUS) uses dynamic real-time imaging to complement the physical examination and identify hemodynamic abnormalities in preload, contractility, and afterload conditions, but the contribution of cardiac POCUS in the context of pediatric brain injury is unclear. Methods: We reviewed cardiac POCUS images integrated in clinical care to examine those with neurological injury and hemodynamic abnormalities. Results: We discuss three children with acute brain injury and myocardial dysfunction identified using cardiac POCUS by bedside clinicians. Conclusions: Cardiac POCUS may have an important role in caring for children with neurologic injury. These patients received personalized care informed by POCUS data in attempts to stabilize hemodynamics and optimize clinical outcomes.

Competency Standard Derivation for Point-of-Care Ultrasound Image Interpretation for Emergency Physicians.

Because number-based standards are increasingly controversial, the objective of this study was to derive a performance-based competency standard for the image interpretation task of point-of-care ultrasound (POCUS). This was a prospective study. Operating on a clinically-relevant sample of POCUS images, we adapted the Ebel standard-setting method to derive a performance benchmark in 4 diverse pediatric POCUS applications: soft tissue, lung, cardiac and focused assessment with sonography in trauma (FAST). In Phase I (difficulty calibration), cases were categorized into interpretation difficulty terciles (easy, intermediate, hard) using emergency physician-derived data. In Phase II (significance), a 4-person expert panel categorized cases as low, medium, or high clinical significance. In Phase III (standard setting), a 3x3 matrix was created, categorizing cases by difficulty and significance, and a 6-member panel determined acceptable accuracy for each of the 9 cells. An overall competency standard was derived from the weighted sum. We obtained data from 379 emergency physicians resulting in 67,093 interpretations and a median of 184 (interquartile range, 154, 190) interpretations per case. There were 78 (19.5%) easy, 272 (68.0%) medium, and 50 (12.5%) hard-to-interpret cases, and 237 (59.3%) low, 65 (16.3%) medium, and 98 (24.5%) cases of high clinical significance across the 4 POCUS applications. The panel determined an overall performance-based competency score of 85.0% for lung, 89.5% for cardiac, 90.5% for soft tissue, and 92.7% for FAST. This research provides a transparent chain of evidence that derived clinically relevant competency standards for POCUS image interpretation.