Trends in Ultrasound Use in Low and Middle Income Countries: A Systematic Review

Perspective in diagnostic accuracy of prenatal ultrasound and MRI for placenta accreta

PURPOSE

Placenta accreta (PA) significantly increases the risk of life-threatening maternal outcomes, and its rising prevalence, driven by the increase in cesarean deliveries, underscores the need for precise diagnostic tools to improve clinical management and outcomes. This study aims to evaluate the advanced diagnostic capabilities of prenatal ultrasound and magnetic resonance imaging (MRI) in the detection of PA, a severe obstetric complication characterized by abnormal adherence of the placenta to the myometrium.

MATERIALS AND METHODS

The study utilized a review of current literature and clinical studies to assess the diagnostic accuracy and clinical utility of ultrasound and MRI in identifying PA. Both imaging modalities were evaluated for their ability to assess the depth and extent of placental invasion, as well as their complementary roles in prenatal diagnosis. The experimental system included detailed imaging protocols for ultrasound and MRI, focusing on placental and uterine structures, and their application in real-world clinical settings.

RESULTS

The findings demonstrate that ultrasound and MRI are highly effective in diagnosing PA, with each modality offering unique advantages. Ultrasound is widely accessible and serves as the first-line diagnostic tool, providing detailed visualization of placental adherence and vascular patterns. MRI, on the other hand, offers superior soft tissue contrast and is particularly valuable in complex cases or when ultrasound findings are inconclusive. Together, these imaging techniques enable accurate evaluation of placental invasion, facilitating timely and targeted prenatal interventions. The study also highlights the potential for improved maternal and fetal outcomes through early diagnosis and optimized pregnancy management.

CONCLUSIONS

Prenatal ultrasound and MRI are indispensable tools in the diagnosis and management of placenta accreta, offering complementary insights that enhance diagnostic precision. Their combined use allows for detailed assessment of placental and uterine structures, guiding clinical decision-making and improving outcomes for both mothers and infants. Future advancements in imaging technology and research hold promise for further enhancing diagnostic accuracy and expanding clinical applications, ultimately contributing to safer and more effective care for patients with PA.

Training-Free Image Style Alignment for Domain Shift on Handheld Ultrasound Devices

Handheld ultrasound devices face usage limitations due to user inexperience and cannot benefit from supervised deep learning without extensive expert annotations. Moreover, the models trained on standard ultrasound device data are constrained by training data distribution and perform poorly when directly applied to handheld device data. In this study, we propose the Training-free Image Style Alignment (TISA) to align the style of handheld device data to those of standard devices. The proposed TISA eliminates the demand for source data, and can transform the image style while preserving spatial context during testing. Furthermore, our TISA avoids continuous updates to the pre-trained model compared to other test-time methods and is suited for clinical applications. We show that TISA performs better and more stably in medical detection and segmentation tasks for handheld device data than other test-time adaptation methods. We further validate TISA as the clinical model for automatic measurements of spinal curvature and carotid intima-media thickness, and the automatic measurements agree well with manual measurements made by human experts. We demonstrate the potential for TISA to facilitate automatic diagnosis on handheld ultrasound devices and expedite their eventual widespread use. Code is available at https://github.com/zenghy96/TISA.

Associations and Diagnostic Accuracy of Ultrasound Features in Knee Osteoarthritis: Cross-Sectional Results From a Large Community-Based Cohort

OBJECTIVE

Our study objectives were (1) to determine associations among ultrasound (US) features of knee osteoarthritis (KOA), radiographic KOA (rKOA), and patient-reported symptoms and (2) to determine diagnostic accuracy of US definitions for rKOA, in a community-based cohort.

METHODS

Participants enrolled in the Johnston County Health Study (JoCoHS; 2019-2024, n = 902) provided demographics, comorbidities, clinical features, and symptoms, along with imaging with standardized acquisition and scoring protocols. Logistic regression models provided odds ratios adjusted for age, sex, race, ethnicity, body mass index (BMI), education level, comorbidities, and knee injury for associations among US features and KOA outcomes. Diagnostic accuracy was assessed using standard metrics with rKOA as the gold standard.

RESULTS

Complete imaging data were available for 861 participants (1,711 knees): 34% men, 25% Black, 10% Hispanic, mean age 55 years, and mean BMI 33. Half of knees were symptomatic, one-third had rKOA, and one in five had symptomatic rKOA. US-identified osteophytes, effusion, meniscal extrusion, cartilage damage, calcium crystals, and popliteal cysts were associated with KOA outcomes. A US definition including both mild osteophytes and mild cartilage damage gave an area under the receiver operating characteristic curve of 0.76 for diagnosing rKOA (validated in an external cohort).

CONCLUSION

We identified common US features in participants with and without KOA, along with significant associations between US features and rKOA, symptomatic rKOA, and symptoms. US-based diagnosis of rKOA shows promise for general use. US is a valuable and accessible modality for assessment of knee OA features in clinical and research settings, including those with limited resources.

Ultrasound measurement of perirenal adipose tissue indicates cardiovascular disease, but standardisation is needed: A systematic review

Introduction

In both highly industrialised and developing countries, obesity is reaching epidemic proportions and increasingly becoming a critical indicator of general morbidity, cardiovascular disease (CVD) and renal dysfunction. A promising trend in detection and management of obesity is the measurement of perirenal adipose tissue (PRAT), increasingly recognised as a metabolically active endocrine organ in itself. Its measurement by ultrasound is used increasingly to indicate visceral obesity and its clinical management. This review synthesises current techniques for measuring PRAT and its potential use as an indicator of CVD.

Methods

We included clinical studies published between 2010 and 2023, investigating the current practice and use of specific ultrasonographic techniques and assessed the reliability and accuracy of included papers. The risk of bias was assessed using the Downs and Black Checklist, and the methodological quality examined using the Grade of Recommendations, Assessments, Development and Evaluation.

Results

It found, PRAT measures are predictive of CVD risk factors and the accuracy of ultrasound is comparable to CT and MRI, but there is no consistency in ultrasound technique. The lack of any randomised control trials and the use of 20 different non-standardised ultrasound techniques across the 21 studies resulted in inconsistent and imprecise clinical observations and interpretations, which decreased the overall quality of the studies.

Conclusion

This review found the inclusion of ultrasound measures in routine abdominal imaging potentially invaluable but demonstrates the need for standardisation of the perirenal fat ultrasound measuring technique to improve reproducibility and reliability.

Systematic review of musculoskeletal ultrasound learning methodologies

Introduction/Purpose

As the frequency and morbidity of musculoskeletal (MSK) disorders increase, the use of MSK ultrasound has become an important diagnostic and procedural tool. This has amplified the importance of quality MSK ultrasound training for medical professionals. This systematic review evaluated and compared peer-reviewed journal articles on learning methodologies for MSK ultrasound training.

Methods

Thirty-three articles met inclusion and exclusion criteria and were evaluated.

Results

Results showed a lack of randomised studies that compared learning methodologies.

Conclusion

There was wide variability of methodology used based on educational and institutional needs. Further randomised control trials need to be conducted to ascertain best educational practices.

A Competency-Based Ultrasound-Guided Breast Biopsy Training Program for Radiologists From Low-and-Middle-Income Countries that Leverages Mobile Health Technology (NCT04501419): A Study Protocol

IntroductionWhile ultrasound-guided breast biopsy (UGBB) performed by a radiologist is the standard of care in high-income countries for diagnosing breast cancer, blind or surgical biopsy has been the norm in low-and middle-income countries (LMIC) in part because LMIC radiologists lack the skill to perform UGBB. We present the study protocol of a competency-based UGBB training program for LMIC Nigerian radiologists that leverages mobile health technology.MethodsThis institutional review board-approved prospective multi-institutional single-arm clinical trial (ClinicalTrials.gov identifier: NCT04501419) involves 13 Nigerian radiologists from eight tertiary hospitals in South West and South East Nigeria. Our training program is unique because it uses a competency-based curriculum developed specifically for LMIC radiologists. The competency-based curriculum incorporates blended learning (e-learning and trainer-led), simulation (supervised and unsupervised), and patient biopsy (supervised and unsupervised) components. The study time frame is two years: 1 year for the trainees to complete active training and patient recruitment and another 1 year for patient follow-up. Primary outcome measures include trainees' competency (measured using the Ottawa Surgical Competency Operating Room Evaluation (O-SCORE)), the radiology-pathology concordance rate, and the complication rate. Secondary outcome measures include the diagnostic interval and the positive predictive value of UGBB.ConclusionBuilding capacity for UGBB in Nigeria and other LMIC can potentially improve breast cancer outcomes through early diagnosis. This training program is part of an implementation multi-component strategy package in Nigeria to improve breast cancer outcomes. This training program can also be adapted for other image-guided procedures that could impact global cancer control through diagnosis, therapeutic intervention, and/or palliation.

Point-of-Care Ultrasound in Resource-Limited Settings

Point-of-care ultrasound (POCUS) bridges diagnostic gaps across the continuum of care worldwide and is a particularly potent tool in resource-limited settings (RLS). To capture the scope of its current impact in RLS, this narrative review of POCUS use in public health, primary care, outpatient specialty, pre-hospital, and palliative care settings discusses its use in reducing diagnostic health care inequities. Disease-specific protocols, longitudinal training, quality assurance, and task shifting are key to robust expansion of POCUS in RLS.

Neonatal intracranial pathologies on ultrasound imaging in sub-Saharan Africa: a systematic review and meta-analysis

Annually, 30 million children are affected by newborn conditions, most in low-income countries, with long-term implications for survivors. We aimed to evaluate neonatal intracranial pathologies identifiable on cranial ultrasound (CUS) in sub-Saharan Africa (SSA). This systematic review and meta-analysis explored the spectrum of neonatal intracranial pathology, in nine databases, using the Joanna Briggs Institute Systematic Review Tools. The review was registered with PROSPERO (CRD42022309249). In total, 92 studies from 14 countries were identified, with South Africa (34%) and Nigeria (28%) most represented. Of these, 38 (42%) focused on intraventricular haemorrhage (IVH), 13 (14%) on congenital brain anomalies, 11 (12%) on intracranial infection, 9 (10%) on ventriculomegaly/hydrocephalus, and 7 (8%) on neonatal encephalopathy. IVH pooled prevalence was 29% (CI 23-35%), with a quarter high-grade (24%, CI 20-29%). Higher prevalence was seen at lower gestation (<32 weeks, 38% (CI 26-50%)) and birthweight (<1500 g, 32% (CI 24-40%)). Periventricular leukomalacia was less common than IVH (9% (CI 6-13%)). A spectrum of intracranial pathology has been reported on neonatal CUS from SSA. IVH affected close to one third of at-risk neonates, and PVL one in eleven, with potentially important implications for longer term outcomes for affected children. IMPACT: Newborn conditions, like prematurity and neonatal encephalopathy, are leading causes of under-5 child mortality, with the greatest burden in sub-Saharan Africa. Intracranial pathologies relating to newborn conditions, may have important long-term consequences, yet frequently go undetected in settings with limited access to imaging. We examined the spectrum and prevalence of different neonatal intracranial pathologies detectable on cranial ultrasound imaging from the sub-Saharan Africa region. A wide spectrum of intracranial pathology was reported, including a high prevalence of intraventricular haemorrhage and periventricular leukomalacia among small and preterm neonates, with potential important implications for childhood outcomes.

Physicians' clinical experience and perspectives following a pilot, blended learning, point of care ultrasound course in Ghana- a mixed methods analysis

BACKGROUND

Point of Care ultrasound (POCUS) is rapidly gaining popularity in resource constrained settings. Optimising training is important to ensure safe and effective implementation. To expand POCUS expertise in Ghana, we co-developed and piloted a context specific, multi-disciplinary, blended learning programme, targeted at physicians of any grade or speciality providing acute care in the public health sector. In this retrospective mixed method study, we capture the "real world" experience of participants, using POCUS in their daily practice, as well as the barriers and enablers they perceived to implementation.

RESULTS

Eight emergency and internal medicine specialists and residents participated, working across three teaching hospitals, treating both general and specialist patients. They implemented each POCUS application taught, with cardiac indications, inferior vena cava (IVC) assessment, deep venous thrombosis (DVT) diagnosis, lung/pleural assessment and peripheral vascular access being most frequent at 3-6 times/week. An estimated 40% of patients could not have afforded any other diagnostic tests. They considered the pilot curriculum adequate for general practice and the majority of applications of low difficulty (71%). For cases sent for second opinion, they are self-reported that their findings were confirmed in 60-78% of cases. Perceptions about the relative advantage of POCUS over the usual approaches to diagnosing patients enabled implementation. Generally, they believed that POCUS improved their clinical decision making and that more certified training courses need to be run at lower cost to make them more accessible. All participants valued ongoing connections after training to ask for help and consolidate their skills. Continued evaluation and reflection on their POCUS practice to improve quality was unanimously reported as important, yet none had a formal system for this. The strongest barrier was access to equipment and maintenance. A lack of training opportunities and local mentors, and negative beliefs from other departments and hospital administration were further barriers.

CONCLUSION

Our new blended learning curriculum met the needs of physicians caring for patients with general and specialist presentations, with strong reported positive experience of improved bedside diagnostic capabilities, especially for the large proportion of patients unable to afford or access alternative diagnostic tests. Their experience drives the need for further training and for solutions to current barriers of equipment availability, training costs and lack of quality assurance mechanisms.

Portable ultrasound devices for obstetric care in resource-constrained environments: mapping the landscape

Background

The WHO's recommendations on antenatal care underscore the need for ultrasound assessment during pregnancy. Given that maternal and perinatal mortality remains unacceptably high in underserved regions, these guidelines are imperative for achieving better outcomes. In recent years, portable ultrasound devices have become increasingly popular in resource-constrained environments due to their cost-effectiveness, useability, and adoptability in resource-constrained settings. This desk review presents the capabilities and costs of currently available portable ultrasound devices, and is meant to serve as a resource for clinicians and researchers in the imaging community.

Methods

A list of ideal technical features for portable ultrasound devices was developed in consultation with subject matter experts (SMEs). Features included image acquisition modes, cost, portability, compatibility, connectivity, data storage and security, and regulatory certification status. Information on each of the devices was collected from publicly available information, input from SMEs and/or discussions with company representatives.

Results

14 devices were identified and included in this review. The output is meant to provide objective information on ideal technical features for available ultrasound systems to researchers and clinicians working in obstetric ultrasound in low-resource settings. No product endorsements are provided.

Conclusions

This desk review provides an overview of the landscape of low-cost portable ultrasound probes for use in obstetrics in resource-constrained environments, and provides a description of key capabilities and costs for each. Methods could be applied to mapping the landscape of portable ultrasound devices for other clinical applications, or may be extended to reviewing other types of healthcare technologies. Further studies are recommended to evaluate portable ultrasound devices for usability and durability in global field settings.

Web-based objective and structured assessment of point-of-care lung ultrasound skills in resource-limited settings

BACKGROUND

Objective assessment of skills after training is essential for safe implementation of lung point-of-care ultrasound (POCUS). In low-and middle-income countries (LMIC) there is a need for assessment tools without onsite experts to scale up POCUS access. Our objective is to develop a web-based assessment tool and evaluate trainees across different countries and at different time points after initial lung POCUS training.

METHODS

We adapted the objective and validated lung ultrasound score (LUS-OSAUS) to a web-based tool with quiz and practical skills test. Trainees were evaluated after a short (4-day) standardized lung POCUS training and were classified in distinct groups according to (i) their geographical location (Benin vs. South-Africa) and (ii) time elapsed since training (Benin 0 months vs. Benin 6 months). The Benin 6 months group had minimal continuous education. Skills test images were read by two blinded experts. We report the overall success rates and then compare these rates based on location and timing since training, using the Fischer's exact test.

RESULTS

A total of 35 out of 43 participants completed the online LUS-OSAUS quiz and skills test. The overall success rate was 0.84 (95%CI 0.80-0.88), with lower success rates for "correct depth" 0.54 (0.37-0.71), "correct assessment of pleura" 0.63 (0.45-0.79) and "conclusion" 0.71 (0.54-0.85). There were no differences based on location, with respective rates of 0.86 (0.80-0.92) and 0.83 (0.75-0.91) (p-value = 0.125) for Benin and South Africa at 0 months, respectively. Similarly, there were no differences according to timing with success rates of 0.86 (0.80-0.92) and 0.82 (0.72-0.93) (p-value = 0.563) for Benin at 0 months and 6 months, respectively.

CONCLUSION

Web-based objective and structured assessment of lung POCUS skills in LMIC following a short-standardized training is feasible and has a good overall success rate with consistent results across regions and up to 6 months after training given minimal continuous education. Overall, technical and POCUS-based clinical conclusion skills are the most difficult to acquire.

Artificial Intelligence (AI) Applications for Point of Care Ultrasound (POCUS) in Low-Resource Settings: A Scoping Review

Advancements in artificial intelligence (AI) for point-of-care ultrasound (POCUS) have ushered in new possibilities for medical diagnostics in low-resource settings. This review explores the current landscape of AI applications in POCUS across these environments, analyzing studies sourced from three databases-SCOPUS, PUBMED, and Google Scholars. Initially, 1196 records were identified, of which 1167 articles were excluded after a two-stage screening, leaving 29 unique studies for review. The majority of studies focused on deep learning algorithms to facilitate POCUS operations and interpretation in resource-constrained settings. Various types of low-resource settings were targeted, with a significant emphasis on low- and middle-income countries (LMICs), rural/remote areas, and emergency contexts. Notable limitations identified include challenges in generalizability, dataset availability, regional disparities in research, patient compliance, and ethical considerations. Additionally, the lack of standardization in POCUS devices, protocols, and algorithms emerged as a significant barrier to AI implementation. The diversity of POCUS AI applications in different domains (e.g., lung, hip, heart, etc.) illustrates the challenges of having to tailor to the specific needs of each application. By separating out the analysis by application area, researchers will better understand the distinct impacts and limitations of AI, aligning research and development efforts with the unique characteristics of each clinical condition. Despite these challenges, POCUS AI systems show promise in bridging gaps in healthcare delivery by aiding clinicians in low-resource settings. Future research endeavors should prioritize addressing the gaps identified in this review to enhance the feasibility and effectiveness of POCUS AI applications to improve healthcare outcomes in resource-constrained environments.

Clinical challenge of diagnosing non-ventilator hospital-acquired pneumonia and identifying causative pathogens: a narrative review

Non-ventilated hospital-acquired pneumonia (NV-HAP) is associated with a significant healthcare burden, arising from high incidence and associated morbidity and mortality. However, accurate identification of cases remains challenging. At present, there is no gold-standard test for the diagnosis of NV-HAP, requiring instead the blending of non-specific signs and investigations. Causative organisms are only identified in a minority of cases. This has significant implications for surveillance, patient outcomes and antimicrobial stewardship. Much of the existing research in HAP has been conducted among ventilated patients. The paucity of dedicated NV-HAP research means that conclusions regarding diagnostic methods, pathology and interventions must largely be extrapolated from work in other settings. Progress is also limited by the lack of a widely agreed definition for NV-HAP. The diagnosis of NV-HAP has large scope for improvement. Consensus regarding a case definition will allow meaningful research to improve understanding of its aetiology and the heterogeneity of outcomes experienced by patients. There is potential to optimize the role of imaging and to incorporate novel techniques to identify likely causative pathogens. This would facilitate both antimicrobial stewardship and surveillance of an important healthcare-associated infection. This narrative review considers the utility of existing methods to diagnose NV-HAP, with a focus on the significance and challenge of identifying pathogens. It discusses the limitations in current techniques, and explores the potential of emergent molecular techniques to improve microbiological diagnosis and outcomes for patients.

Ultrasound Mediated Polymerization for Cell Delivery, Drug Delivery, and 3D Printing

Safe and accurate in situ delivery of biocompatible materials is a fundamental requirement for many biomedical applications. These include sustained and local drug release, implantation of acellular biocompatible scaffolds, and transplantation of cells and engineered tissues for functional restoration of damaged tissues and organs. The common practice today includes highly invasive operations with major risks of surgical complications including adjacent tissue damage, infections, and long healing periods. In this work, a novel non-invasive delivery method is presented for scaffold, cells, and drug delivery deep into the body to target inner tissues. This technology is based on acousto-sensitive materials which are polymerized by ultrasound induction through an external transducer in a rapid and local fashion without additional photoinitiators or precursors. The applicability of this technology is demonstrated for viable and functional cell delivery, for drug delivery with sustained release profiles, and for 3D printing. Moreover, the mechanical properties of the delivered scaffold can be tuned to the desired target tissue as well as controlling the drug release profile. This promising technology may shift the paradigm for local and non-invasive material delivery approach in many clinical applications as well as a new printing method - "acousto-printing" for 3D printing and in situ bioprinting.

The use of ultrasonography in education for undergraduate nursing students: A literature review

AIM

The incorporation of ultrasonography into nursing practice is becoming more common, but how ultrasonography is used or applied in nursing student education is still unclear. This study aimed to review and synthesize relevant literature on the use of ultrasonography in education for undergraduate nursing students.

METHODS

An electronic literature search was conducted in June 2022 (updated in June 2023) using MEDLINE, CINAHL, Scopus, and Ichushi-Web databases. Two researchers independently screened/assessed the eligibility of the studies, synthesized extracted data using a narrative synthesis (due to anticipated heterogeneity across studies), and evaluated the methodological quality of quantitative studies using the Medical Education Research Study Quality Instrument.

RESULTS

Thirteen peer-reviewed articles were included in the review. All of the studies were conducted in high-income countries, and the majority of them employed an uncontrolled single-group design. Ultrasonography was used mainly for visualizing the vascular system to improve students' puncture skills, but it was also used with various other applications. The included studies were predominantly of moderate quality and heterogeneous, but all of them reported at least some benefits in nursing student education, such as enhancing knowledge and understanding of subcutaneous anatomical structures, and improving confidence in and/or skills of venipuncture and other visualization/assessment methods.

CONCLUSIONS

This review provides a broad perspective and highlights the potential use of ultrasonography in education for undergraduate nursing students. Further research is needed to develop standardized teaching methods/curriculum and competency assessments in order to ensure minimum competency standards for students and to improve clinical outcomes for patients.

Effectiveness of an ultrasound basic cancer training program through on-site training and virtual case discussions in rural Tanzania: a proof-of-concept study

Introduction

Cancer rates are rising in low- and middle-income countries. While point-of-care ultrasound is now available globally and could serve to mitigate against this rise, its use in diagnosing cancers is inconsistent in lower-resourced healthcare contexts. This proof-of-concept study investigates the feasibility of an ultrasound training concept in a low-resource setting. It evaluates whether this educational concept led to improved knowledge and application of ultrasound diagnostics, cancer screening and staging and patient care.

Material and methods

The curriculum was developed through expert exchange and is based on the World Health Organisation's Manual of Diagnostic Ultrasound. It consisted of two didactic components: an on-site training phase across 5 days for a total of 24 hours, and a digital follow-up phase involving the meeting of a bi-weekly tumor board online. The learning objectives of the on-site training were normal imaging and recognition of common pathologies of the abdominal organs, vessels, lymph nodes, female breasts and lungs. The virtual tumour boards met to discuss cases and ultrasound findings, thus aiding continuing professional development after the training sessions had concluded. The face-to-face course component was accompanied by tests given before and after training as well as an evaluation sheet (Likert-scale with 1 = 'completely/very good' and 7 'not at all/very poor').

Results

Of 20 participants from a rural hospital in Tanzania, a total of 16 were included in the analysis (clinical officers n = 6; medical officers n = 10). A significant increase in knowledge (p < 0.01) was measured both in the subjective self-assessment and in the theoretical competence tests. In multivariate linear regression, the status 'medical officers yes' (β = 5.4; p = 0.04) had a significant influence on theory test results at T2. During the 24 virtual tumour board meetings, 28 cases were discussed and a continuous improvement in image acquisition quality was observed.

Conclusion

The ultrasound education concept comes with a sustainable increase in clinical competence and improved oncological ultrasound screening locally. There is potential for the transfer of the concept to other locations, which can be explored in the future.

Ultrasound Secondary Signs for the Diagnosis of Pediatric Distal Forearm Fractures: A Diagnostic Study

OBJECTIVE

To evaluate the diagnostic accuracy of ultrasound secondary signs of fractures in pediatric patients aged 5-15 y presenting to the emergency department with a clinically non-deformed distal forearm injury.

METHODS

This diagnostic study was conducted in South East Queensland, Australia. Emergency clinicians performed point-of-care ultrasound on eligible patients and recorded secondary signs of fractures (pronator quadratus hematoma [PQH] sign, periosteal hematoma, visible angulation) or physeal fractures (fracture-to-physis distance [FPD], physis alteration). The reference standard was the final fracture diagnosis determined by expert panel. The primary outcome was the diagnostic accuracy of secondary signs for cortical breach and physeal fractures. Diagnostic statistics were reported for each relevant secondary sign.

RESULTS

A total of 135 participants were enrolled. The expert panel diagnosed 48 "no" fracture, 52 "buckle" fracture and 35 "other" fracture. All "other" fractures were cortical breach fractures and included 15 Salter-Harris II fractures. The PQH sign demonstrated high sensitivity and moderate specificity to diagnose cortical breach fractures (91%, 95% Confidence Interval [CI] 78%-97% and 82%, 73%-88%). Poor sensitivity but high specificity was observed for the visible angulation and periosteal hematoma secondary signs. FPD <1cm showed perfect sensitivity and moderate specificity (100%, 80%-100% and 85%, 78%-90%) for diagnosis of Salter-Harris II fracture. Conversely, physis alteration showed poor sensitivity but excellent specificity (40%, 20%-64% and 99%, 95%-100%) for the diagnosis of Salter-Harris II fractures.

CONCLUSION

Ultrasound secondary signs showed good diagnostic accuracy for both cortical breach fractures and Salter-Harris II fractures. Future research should consider optimal use of secondary signs to improve diagnostic accuracy.

Deep learning for real-time multi-class segmentation of artefacts in lung ultrasound

Lung ultrasound (LUS) has emerged as a safe and cost-effective modality for assessing lung health, particularly during the COVID-19 pandemic. However, interpreting LUS images remains challenging due to its reliance on artefacts, leading to operator variability and limiting its practical uptake. To address this, we propose a deep learning pipeline for multi-class segmentation of objects (ribs, pleural line) and artefacts (A-lines, B-lines, B-line confluence) in ultrasound images of a lung training phantom. Lightweight models achieved a mean Dice Similarity Coefficient (DSC) of 0.74, requiring fewer than 500 training images. Applying this method in real-time, at up to 33.4 frames per second in inference, allows enhanced visualisation of these features in LUS images. This could be useful in providing LUS training and helping to address the skill gap. Moreover, the segmentation masks obtained from this model enable the development of explainable measures of disease severity, which have the potential to assist in the triage and management of patients. We suggest one such semi-quantitative measure called the B-line Artefact Score, which is related to the percentage of an intercostal space occupied by B-lines and in turn may be associated with the severity of a number of lung conditions. Moreover, we show how transfer learning could be used to train models for small datasets of clinical LUS images, identifying pathologies such as simple pleural effusions and lung consolidation with DSC values of 0.48 and 0.32 respectively. Finally, we demonstrate how such DL models could be translated into clinical practice, implementing the phantom model alongside a portable point-of-care ultrasound system, facilitating bedside assessment and improving the accessibility of LUS.

Ultrasound imaging and the culture of pregnancy management in low-and middle-income countries: A systematic review

BACKGROUND

Obstetric ultrasound imaging is a relatively new, but rapidly expanding, technology in low- and middle-income countries (LMICs). Given that new technologies modify practices, the influence of ultrasound on pregnancy management in LMICs is not comprehensively understood.

OBJECTIVES

To map how ultrasound technology may be modulating the culture of pregnancy management in LMICs.

SEARCH STRATEGY

A search of five databases up to November 18, 2022.

SELECTION CRITERIA

Original, peer-reviewed articles from LMICs, published in English from 2000 to 2022.

DATA COLLECTION AND ANALYSIS

All articles were assessed for quality using the GRADE approach. Data were analyzed thematically to generate new interpretive constructs and explanations.

RESULTS

Forty articles involving 113 000 respondents suggests that obstetric ultrasound is becoming the preferred method of pregnancy surveillance, replacing clinically important components of prenatal care. Mothers overestimate ultrasound as an all-powerful diagnostic and "therapeutic" tool that can deliver the perfect baby. For-profit providers are driving medically unnecessary scans while the poor do not receive the recommended scans.

CONCLUSION

Ultrasound technology has modified the culture of pregnancy management in LMICs in unintended and possibly harmful ways. Private health services are pushing the detrimental trends. Limitations include generalizability of qualitative studies and insufficient attention to inequities.

Estimating risk of endometrial malignancy and other intracavitary uterine pathology in women without abnormal uterine bleeding using IETA-1 multinomial regression model: validation study

OBJECTIVES

To assess the ability of the International Endometrial Tumor Analysis (IETA)-1 polynomial regression model to estimate the risk of endometrial cancer (EC) and other intracavitary uterine pathology in women without abnormal uterine bleeding.

METHODS

This was a retrospective study, in which we validated the IETA-1 model on the IETA-3 study cohort (n = 1745). The IETA-3 study is a prospective observational multicenter study. It includes women without vaginal bleeding who underwent a standardized transvaginal ultrasound examination in one of seven ultrasound centers between January 2011 and December 2018. The ultrasonography was performed either as part of a routine gynecological examination, during follow-up of non-endometrial pathology, in the work-up before fertility treatment or before treatment for uterine prolapse or ovarian pathology. Ultrasonographic findings were described using IETA terminology and were compared with histology, or with results of clinical and ultrasound follow-up of at least 1 year if endometrial sampling was not performed. The IETA-1 model, which was created using data from patients with abnormal uterine bleeding, predicts four histological outcomes: (1) EC or endometrial intraepithelial neoplasia (EIN); (2) endometrial polyp or intracavitary myoma; (3) proliferative or secretory endometrium, endometritis, or endometrial hyperplasia without atypia; and (4) endometrial atrophy. The predictors in the model are age, body mass index and seven ultrasound variables (visibility of the endometrium, endometrial thickness, color score, cysts in the endometrium, non-uniform echogenicity of the endometrium, presence of a bright edge, presence of a single dominant vessel). We analyzed the discriminative ability of the model (area under the receiver-operating-characteristics curve (AUC); polytomous discrimination index (PDI)) and evaluated calibration of its risk estimates (observed/expected ratio).

RESULTS

The median age of the women in the IETA-3 cohort was 51 (range, 20-85) years and 51% (887/1745) of the women were postmenopausal. Histology showed EC or EIN in 29 (2%) women, endometrial polyps or intracavitary myomas in 1094 (63%), proliferative or secretory endometrium, endometritis, or hyperplasia without atypia in 144 (8%) and endometrial atrophy in 265 (15%) women. The endometrial sample had insufficient material in five (0.3%) cases. In 208 (12%) women who did not undergo endometrial sampling but were followed up for at least 1 year without clinical or ultrasound signs of endometrial malignancy, the outcome was classified as benign. The IETA-1 model had an AUC of 0.81 (95% CI, 0.73-0.89, n = 1745) for discrimination between malignant (EC or EIN) and benign endometrium, and the observed/expected ratio for EC or EIN was 0.51 (95% CI, 0.32-0.82). The model was able to categorize the four histological outcomes with considerable accuracy: the PDI of the model was 0.68 (95% CI, 0.62-0.73) (n = 1532). The IETA-1 model discriminated very well between endometrial atrophy and all other intracavitary uterine conditions, with an AUC of 0.96 (95% CI, 0.95-0.98). Including only patients in whom the endometrium was measurable (n = 1689), the model's AUC was 0.83 (95% CI, 0.75-0.91), compared with 0.62 (95% CI, 0.52-0.73) when using endometrial thickness alone to predict malignancy (difference in AUC, 0.21; 95% CI, 0.08-0.32). In postmenopausal women with measurable endometrial thickness (n = 848), the IETA-1 model gave an AUC of 0.81 (95% CI, 0.71-0.91), while endometrial thickness alone gave an AUC of 0.70 (95% CI, 0.60-0.81) (difference in AUC, 0.11; 95% CI, 0.01-0.20).

CONCLUSION

The IETA-1 model discriminates well between benign and malignant conditions in the uterine cavity in patients without abnormal bleeding, but it overestimates the risk of malignancy. It also discriminates well between the four histological outcome categories. © 2023 International Society of Ultrasound in Obstetrics and Gynecology.

Diagnostic Accuracy of Point-of-Care Ultrasound Versus Radiographic Imaging for Pediatric Distal Forearm Fractures: A Randomized Controlled Trial

STUDY OBJECTIVE

In patients aged 5 to 15 years with a clinically nondeformed distal forearm injury presenting to the emergency department (ED), we examined whether point-of-care ultrasound or radiographic imaging had better diagnostic accuracy, with the reference diagnosis determined by an expert panel review.

METHODS

This multicenter, open-label, diagnostic randomized controlled trial was conducted in South East Queensland, Australia. Eligible patients were randomized to receive initial imaging through point-of-care ultrasound performed by an ED clinician or radiograph. Images were defined as "no," "buckle," or "other" fracture by the treating clinician. The primary outcome was the diagnostic accuracy of the treating clinician's interpretation compared against the reference standard diagnosis, which was determined retrospectively by an expert panel consisting of an emergency physician, pediatric radiologist, and pediatric orthopedic surgeon, who reviewed all imaging and follow-up.

RESULTS

Two-hundred and seventy participants were enrolled, with 135 randomized to each initial imaging modality. There were 132 (97.8%) and 112 (83.0%) correctly diagnosed participants by ED clinicians in the point-of-care ultrasound and radiograph groups, respectively (absolute difference [AD]=14.8%; 95% confidence interval [CI] 8.0% to 21.6%; P<.001). Point-of-care ultrasound had better accuracy for participants with "buckle" fractures (AD=18.5%; 95% CI 7.1% to 29.8%) and "other" fractures (AD=17.1%; 95% CI 2.7% to 31.6%). No clinically important fractures were missed in either group.

CONCLUSION

In children and adolescents presenting to the ED with a clinically nondeformed distal forearm injury, clinician-performed (acquired and interpreted) point-of-care ultrasound more accurately identified the correct diagnosis than clinician-interpreted radiographic imaging.

Use of an ultrasound picture archiving and communication system to answer research questions: Description of data cleaning methods

Introduction/Purpose

Ultrasound picture archiving and communication system (PACS) databases are useful for quality improvement and clinical research but frequently contain free text that is not easily readable. Here, we present a method to extract and clean a semi-structured echocardiography (cardiac ultrasound) PACS database.

Methods

Echocardiography studies between 1 January 2010 and 31 December 2018 were extracted using a data mining tool. Numeric variables were recoded with extreme values excluded. Analysis of free text, including descriptions of the heart valves and right and left ventricular size and function, was performed using a rule-based system. Different levels of free text variables were initially identified using commonly used phrases and then iteratively developed. Randomly selected sets of 100 studies were compared to the electronic health record to validate the data cleaning process.

Results

The data validation step was performed three times in total, with Cohen's kappa ranging between 0.88 and 1.00 for the final set of data validation across all measures.

Conclusion

Free text cleaning of semi-structured PACS databases is possible using freely available open-source software. The accuracy of this method is high, and the resulting dataset can be linked to administrative data to answer research questions. We present a method that could be used to answer clinical questions or to develop quality improvement initiatives.

Analysis of neural networks for routine classification of sixteen ultrasound upper abdominal cross sections

PURPOSE

Abdominal ultrasound screening requires the capture of multiple standardized plane views as per clinical guidelines. Currently, the extent of adherence to such guidelines is dependent entirely on the skills of the sonographer. The use of neural network classification has the potential to better standardize captured plane views and streamline plane capture reducing the time burden on operators by combatting operator variability.

METHODS

A dataset consisting of 16 routine upper abdominal ultrasound scans from 64 patients was used to test the classification accuracy of 9 neural networks. These networks were tested on both a small, idealised subset of 800 samples as well as full video sweeps of the region of interest using stratified sampling and transfer learning.

RESULTS

The highest validation accuracy attained by both GoogLeNet and InceptionV3 is 83.9% using transfer learning and the large sample set of 26,294 images. A top-2 accuracy of 95.1% was achieved using InceptionV3. Alexnet attained the highest accuracy of 79.5% (top-2 of 91.5%) for the smaller sample set of 800 images. The neural networks evaluated during this study were also successfully able to identify problematic individual cross sections such as between kidneys, with right and left kidney being accurately identified 78.6% and 89.7%, respectively.

CONCLUSION

Dataset size proved a more important factor in determining accuracy than network selection with more complex neural networks providing higher accuracy as dataset size increases and simpler linear neural networks providing better results where the dataset is small.

Nanobubble-mediated cancer cell sonoporation using low-frequency ultrasound

Ultrasound insonation of microbubbles can form transient pores in cell membranes that enable the delivery of non-permeable extracellular molecules to the cells. Reducing the size of microbubble contrast agents to the nanometer range could facilitate cancer sonoporation. This size reduction can enhance the extravasation of nanobubbles into tumors after an intravenous injection, thus providing a noninvasive sonoporation platform. However, drug delivery efficacy depends on the oscillations of the bubbles, the ultrasound parameters and the size of the target compared to the membrane pores. The formation of large pores is advantageous for the delivery of large molecules, however the small size of the nanobubbles limit the bioeffects when operating near the nanobubble resonance frequency at the MHz range. Here, we show that by coupling nanobubbles with 250 kHz low frequency ultrasound, high amplitude oscillations can be achieved, which facilitate low energy sonoporation of cancer cells. This is beneficial both for increasing the uptake of a specific molecule and to improve large molecule delivery. The method was optimized for the delivery of four fluorescent molecules ranging in size from 1.2 to 70 kDa to breast cancer cells, while comparing the results to targeted microbubbles. Depending on the fluorescent molecule size, the optimal ultrasound peak negative pressure was found to range between 300 and 500 kPa. Increasing the pressure to 800 kPa reduced the fraction of fluorescent cells for all molecules sizes. The optimal uptake for the smaller molecule size of 4 kDa resulted in a fraction of 19.9 ± 1.8% of fluorescent cells, whereas delivery of 20 kDa and 70 kDa molecules yielded 14 ± 0.8% and 4.1 ± 1.1%, respectively. These values were similar to targeted microbubble-mediated sonoporation, suggesting that nanobubbles can serve as noninvasive sonoporation agents with a similar potency, and at a reduced bubble size. The nanobubbles effectively reduced cell viability and may thus potentially reduce the tumor burden, which is crucial for the success of cancer treatment. This method provides a non-invasive and low-energy tumor sonoporation theranostic platform, which can be combined with other therapies to maximize the therapeutic benefits of cancer treatment or be harnessed in gene therapy applications.

Machine-Learning-Assisted Procoagulant Extracellular Vesicle Barcode Assay toward High-Performance Evaluation of Thrombosis-Induced Death Risk in Cancer Patients

Venous thromboembolism (VTE) is the most fatal complication in cancer patients. Unfortunately, the frequent misdiagnosis of VTE owing to the lack of accurate and efficient evaluation approaches may cause belated medical intervention and even sudden death. Herein, we present a rapid, easily operable, highly specific, and highly sensitive procoagulant extracellular vesicle barcode (PEVB) assay composed of TiO2 nanoflower (TiNFs) for visually evaluating VTE risk in cancer patients. TiNFs demonstrate rapid label-free EV capture capability by the synergetic effect of TiO2-phospholipids molecular interactions and topological interactions between TiNFs and EVs. From ordinary plasma samples, the PEVB assay can evaluate potential VTE risk by integrating TiNFs-based EV capture and in situ EV procoagulant ability test with machine-learning-assisted clinical data analysis. We demonstrate the feasibility of this PEVB assay in VTE risk evaluation by screening 167 cancer patients, as well as the high specificity (97.1%) and high sensitivity (96.8%), fully exceeding the nonspecific and posterior traditional VTE test. Together, we proposed a TiNFs platform allowing for highly accurate and timely diagnosis of VTE in cancer patients.

The Use of Superb Microvascular Imaging in Evaluating Rheumatic Diseases: A Systematic Review

Background and Objectives: Superb microvascular imaging is an advanced Doppler algorithm that seems to be useful in detecting low-velocity blood flow without using a contrast agent. Increasing evidence suggests that SMI is a more sensitive tool than conventional Doppler techniques for evaluating rheumatic diseases, especially inflammatory arthritis. We aimed to assess the use of SMI in evaluating joints and extraarticular structures. Materials and Methods: Two reviewers independently reviewed the literature to provide a global overview of the possibilities of SMI in rheumatology. Original English-language articles published between February 2014 and November 2022 were identified through database (PubMed, Medline, Ebsco, the Cochrane Library, and ScienceDirect) searching, and analysed to summarise existing evidence according to PRISMA methodology. Inclusion criteria covered original research articles reporting applications of SMI on rheumatic diseases and musculoskeletal disorders secondary to rheumatic conditions. Qualitative data synthesis was performed. Results: A total of 18 articles were included. No systematic reviews fulfilled our inclusion criteria. Most studies focused on characterising the synovial vascularity of rheumatoid arthritis. There have been several attempts to demonstrate SMI's value for evaluating extra-articular soft tissues (fat pads or salivary glands) and large-diameter vessels. The quantitative importance of SMI vascular indices could become a useful non-invasive diagnostic marker. Studies on therapeutic applications are still scarce, and the majority of studies have gaps in reporting the methodology (ultrasound performance technique and settings) of the research. Conclusions: SMI has proved to be useful in characterising low-flow vascularity, and growing evidence indicates that SMI is a non-invasive and lower-cost tool for prognostic assessment, especially in inflammatory arthritis. Preliminary findings also suggest potential interest in evaluating the effect of treatment.

Ultrasonography or Radiography for Suspected Pediatric Distal Forearm Fractures

BACKGROUND

Data on whether ultrasonography for the initial diagnostic imaging of forearm fractures in children and adolescents is noninferior to radiography for subsequent physical function of the arm are limited.

METHODS

In this open-label, multicenter, noninferiority, randomized trial in Australia, we recruited participants 5 to 15 years of age who presented to the emergency department with an isolated distal forearm injury, without a clinically visible deformity, in whom further evaluation with imaging was indicated. Participants were randomly assigned to initially undergo point-of-care ultrasonography or radiography, and were then followed for 8 weeks. The primary outcome was physical function of the affected arm at 4 weeks as assessed with the use of the validated Pediatric Upper Extremity Short Patient-Reported Outcomes Measurement Information System (PROMIS) score (range, 8 to 40, with higher scores indicating better function); the noninferiority margin was 5 points.

RESULTS

A total of 270 participants were enrolled, with outcomes for 262 participants (97%) available at 4 weeks (with a window of ±3 days) as prespecified. PROMIS scores at 4 weeks in the ultrasonography group were noninferior to those in the radiography group (mean, 36.4 and 36.3 points, respectively; mean difference, 0.1 point; 95% confidence interval [CI], -1.3 to 1.4). Intention-to-treat analyses (in 266 participants with primary outcome data recorded at any time) produced similar results (mean difference, 0.1 point; 95% CI, -1.3 to 1.4). No clinically important fractures were missed, and there were no between-group differences in the occurrence of adverse events.

CONCLUSIONS

In children and adolescents with a distal forearm injury, the use of ultrasonography as the initial diagnostic imaging method was noninferior to radiography with regard to the outcome of physical function of the arm at 4 weeks. (Funded by the Emergency Medicine Foundation and others; BUCKLED Australian New Zealand Clinical Trials Registry number, ACTRN12620000637943).

The Potential of Adding Mammography to Handheld Ultrasound or Automated Breast Ultrasound to Reduce Unnecessary Biopsies in BI-RADS Ultrasound Category 4a: A Multicenter Hospital-Based Study in China

The appropriate management strategies for BI-RADS category 4a lesions among handheld ultrasound (HHUS) remain a matter of debate. We aimed to explore the role of automated breast ultrasound (ABUS) or the second-look mammography (MAM) adjunct to ultrasound (US) of 4a masses to reduce unnecessary biopsies. Women aged 30 to 69 underwent HHUS and ABUS from 2016 to 2017 at five high-level hospitals in China, with those aged 40 or older also accepting MAM. Logistic regression analysis assessed image variables correlated with false-positive lesions in US category 4a. Unnecessary biopsies, invasive cancer (IC) yields, and diagnostic performance among different biopsy thresholds were compared. A total of 1946 women (44.9 ± 9.8 years) were eligible for analysis. The false-positive rate of category 4a in ABUS was almost 65.81% (77/117), which was similar to HHUS (67.55%; 127/188). Orientation, architectural distortion, and duct change were independent factors associated with the false-positive lesions in 4a of HHUS, whereas postmenopausal, calcification, and architectural distortion were significant features of ABUS (all p < 0.05). For HHUS, both unnecessary biopsy rate and IC yields were significantly reduced when changing biopsy thresholds by adding MAM for US 4a in the total population (scenario #1:BI-RADS 3, 4, and 5; scenario #2: BI-RADS 4 and 5) compared with the current scenario (all p < 0.05). Notably, scenario #1 reduced false-positive biopsies without affecting IC yields when compared to the current scenario for ABUS (p < 0.001; p = 0.125). The higher unnecessary biopsy rate of category 4a by ABUS was similar to HHUS. However, the second-look MAM adjunct to ABUS has the potential to safely reduce false-positive biopsies compared with HHUS.

A survey of barriers and facilitators to ultrasound use in low- and middle-income countries

Point-of-care ultrasound has the potential to help inform assessment, diagnosis, and management of illness in low- and middle-income countries (LMIC). To better understand current ultrasound use, barriers and facilitators to use, and perceptions and practices in LMIC, we conducted an anonymous online global survey targeting healthcare providers training and using ultrasound in LMIC. A total of 241 respondents representing 62 countries participated and most were physicians working in publicly-funded urban tertiary hospitals in LMIC. Most had received ultrasound training (78%), reported expertise (65%) and confidence (90%) in ultrasound use, and had access to ultrasound (88%), utilizing ultrasound most commonly for procedures and for evaluations of lungs, heart, and trauma. Access to an ultrasound machine was reported as both the top barrier (17%) and top facilitator (53%); other common barriers included access to education and training, cost, and competition for use and other common facilitators included access to a probe, gel, and electricity, and acceptance by healthcare providers, administrators, and patients. Most (80%) noted ultrasound access was important and 96% agreed that ultrasound improves quality of care and patient outcomes. Improving access to low-cost ultrasound equipment is critical to increasing ultrasound use among those who are trained.

Use and misuse of ultrasound in obstetrics with reference to developing countries

Maternal and neonatal health is one of the main global health challenges. Every day, approximately 800 women and 7,000 newborns die due to complications during pregnancy, delivery, and neonatal period. The leading causes of maternal death in sub-Saharan Africa are obstetric hemorrhage (28.8%), hypertensive disorders in pregnancy (22.1%), non-obstetric complications (18.8%), and pregnancy-related infections (11.5%). Diagnostic ultrasound examinations can be used in a variety of specific circumstances during pregnancy. Because adverse outcomes may also arise in low-risk pregnancies, it is assumed that routine ultrasound in all pregnancies will enable earlier detection and improved management of pregnancy complications. The World Health Organization (WHO) estimated in 1997 that 50% of developing countries had no access to ultrasound imaging, and available equipment was outdated or broken. Unfortunately, besides all the exceptional benefits of ultrasound in obstetrics, its inappropriate use and abuse are reported. Using ultrasound to view, take a picture, or determine the sex of a fetus without a medical indication can be considered ethically unjustifiable. Ultrasound assessment when indicated should be every woman's right in the new era. However, it is still only a privilege in some parts of the world. Investment in both equipment and human resources has been clearly shown to be cost-effective and should be an obligatory step in the improvement of health care. Well-developed health systems should guide developing countries, creating principles for the organization of the health system with an accent on the correct, legal, and ethical use of diagnostic ultrasound in pregnancy to avoid its misuse. The aim of the article is to present the importance of correct and appropriate use of ultrasound in obstetrics and gynecology with reference to developing countries.

Reasons for disagreement between screening and standard echocardiography in primary care: data from the PROVAR + study : Disagreement between screening and standard echo

We aimed to evaluate the reasons for disagreement between screening echocardiography (echo), acquired by nonexperts, and standard echo in the Brazilian primary care (PC). Over 20 months, 22 PC workers were trained on simplified handheld (GE VSCAN) echo protocols. Screening groups, consisting of patients aged 17-20, 35-40 and 60-65 years, and patients referred for clinical indications underwent focused echo. Studies were remotelyinterpreted in US and Brazil, and those diagnosed with major or severe HD were referred for standard echoperformed by an expert. Major HD was defined as moderate to severe valve disease, ventriculardysfunction/hypertrophy, pericardial effusion or wall-motion abnormalities. A random sample of exams wasselected for evaluation of variables accounting for disagreement. A sample of 768 patients was analyzed, 651(85%) in the referred group. Quality issues were reported in 5.8%, and the random Kappa for major HD between screening and standard echo was 0.51. The most frequent reasons for disagreement were: overestimation of mitral regurgitation (MR) (17.9%, N=138), left ventricular (LV) dysfunction (15.7%, N=121), aortic regurgitation (AR) (15.2%, N=117), LV hypertrophy (13.5%, N=104) and tricuspid regurgitation (12.7%, N=98). Misdiagnosis of mitral and aortic morphological abnormalities was observed in 12.4% and 3.0%, and underestimation of AR and MR occurred in 4.6% and 11.1%. Among 257 patients with suspected mild/moderate MR, 129 were reclassified to normal. In conclusion, although screening echo with task-shifting in PC is a promising tool in low-income areas, estimation of valve regurgitation and LV function and size account for considerable disagreement with standard exams.

Torres-Duque5,6 C, Zabert7 I, E Zabert7 G, Perez-Padilla8 R, Varón-Vega5,9,10 F, Cohen11 M, C Ferreira1 J. COVID-19 knowledge, attitudes, and practices among health care workers in Latin America

Objective: To evaluate COVID-19 knowledge, attitudes, and practices among health care workers (HCWs) practicing in Latin American countries during the first surge of the COVID-19 pandemic. Methods: This was a multinational cross-sectional survey study, using an online self-administered questionnaire. The final version of the questionnaire comprised 40 questions, organized in five sections: demographic and professional characteristics; COVID-19 knowledge; attitudes toward COVID-19; COVID-19 practices; and institutional resources. Results: The study involved 251 HCWs from 19 Latin American countries who agreed to participate. In our sample, 77% of HCWs participated in some sort of institutional training on COVID-19, and 43% had a low COVID-19 knowledge score. COVID-19 knowledge was associated with the type of health center (public/private), availability of institutional training, and sources of information about COVID-19. Concerns about not providing adequate care were reported by 60% of the participants. The most commonly used ventilatory strategies were protective mechanical ventilation, alveolar recruitment maneuvers, and prone positioning, and the use of drugs to treat COVID-19 was mainly based on institutional protocols. Conclusions: In this multinational study in Latin America, almost half of HCWs had a low COVID-19 knowledge score, and the level of knowledge was associated with the type of institution, participation in institutional training, and information sources. HCWs considered that COVID-19 was very relevant, and more than half were concerned about not providing adequate care to patients.

Interobserver Agreement and Correlation of an Automated Algorithm for B-Line Identification and Quantification With Expert Sonologist Review in a Handheld Ultrasound Device

OBJECTIVES

B-lines are ultrasound artifacts that can be used to detect a variety of pathologic lung conditions. Computer-aided methods to detect and quantify B-lines may standardize quantification and improve diagnosis by novice users. We sought to test the performance of an automated algorithm for the detection and quantification of B-lines in a handheld ultrasound device (HHUD).

METHODS

Ultrasound images were prospectively collected on adult emergency department patients with dyspnea. Images from the first 124 patients were used for algorithm development. Clips from 80 unique subjects for testing were randomly selected in a predefined proportion of B-lines (0 B-lines, 1-2 B-lines, 3 or more B-lines) and blindly reviewed by five experts using both a manual and reviewer-adjusted process. Intraclass correlation coefficient (ICC) and weighted kappa were used to measure agreement, while an a priori threshold of an ICC (3,k) of 0.75 and precision of 0.3 were used to define adequate performance.

RESULTS

ICC between the algorithm and manual count was 0.84 (95% confidence interval [CI] 0.75-0.90), with a precision of 0.15. ICC between the reviewer-adjusted count and the algorithm count was 0.94 (95% CI 0.90-0.96), and the ICC between the manual and reviewer-adjusted counts was 0.94 (95% CI 0.90-0.96). Weighted kappa was 0.72 (95% CI 0.49-0.95), 0.88 (95% CI 0.74-1), and 0.85 (95% CI 0.89-0.96), respectively.

CONCLUSIONS

This study demonstrates a high correlation between point-of-care ultrasound experts and an automated algorithm to identify and quantify B-lines using an HHUD. Future research may incorporate this HHUD in clinical studies in multiple settings and users of varying experience levels.

Point of care prehospital ultrasound in Basic Emergency Services in Portugal

Background and Aims

The Point of Care Ultrasound and Point-of-Care Ultrasound in Resource-Limited Settings are differentiated diagnostic methods using ultrasound, essential in urgent patients screening, allowing better guidance in the diagnostic process and therapeutic approach. This study intends to observe the impact of these techniques in two Basic Emergency Services (SUB) in Portugal.

Methods

A longitudinal study was carried out in two remote locations in Portugal (SUB N and SUB S). Data were collected by trained radiographers in each location, and a total of 972 exams were considered. Imaging findings were documented by exam type, the exam normality and the resolution after exam. χ 2 and Cramer's V tests were performed to check significant correlations between the variables.

Results

Regarding the type of echographic findings, 289 (29.7%) were considered normal, 628 (64.6%) were classified as abnormal and 55 (5.7%) were considered inconclusive. As for the type of resolution, 58% had local resolution, 24% were referred to a hospital emergency service and 18% referred to ambulatory care. Regarding the Location versus Resolution after exam versus Findings variables, it was verified a stronger statistically significant association for the exams considered "Abnormal" (Cramer's V = 0.414; p < 0.001). In the variables Location versus Findings versus Resolution after exam, it was verified a stronger statistical significance for "Referral to Ambulatory" (Cramer V = 0.443; p < 0.001) although Referral for Hospital (Cramer V = 0.252; p = 0.003) or Local Resolution (Cramer V = 0.252; p < 0.001) also had a moderate association strength.

Conclusion

Ultrasonography is a useful diagnostic tool for patients screening, having an influence on patient management in remote settings. Given the limited literature in Portugal about this matter, further research and literature will be needed to support and complement the results of this study.

National Practice Patterns in the Management of the Regional Lymph Node Basin After Positive Sentinel Lymph Node Biopsy for Cutaneous Melanoma

BACKGROUND

Immediate completion lymph node dissection (CLND) for patients with sentinel lymph node (SLN) metastasis from cutaneous melanoma has been replaced largely by ultrasound nodal surveillance since the publication of two landmark trials in 2016 and 2017. National practice patterns of CLND remain poorly characterized.

METHODS

Patients with a diagnosis of cutaneous melanoma in 2016 and 2018 without clinical nodal disease who underwent sentinel lymph node biopsy (SLNB) were identified from the National Cancer Database (NCDB). Characteristics associated with CLND were analyzed by uni- and multivariate logistic regression. Overall survival (OS) was estimated using Kaplan-Meier and Cox proportional hazards regression analyses.

RESULTS

Of the 3517 patients included in the study, 1405 had disease diagnosed in 2016. The patients with cutaneous melanoma diagnosed in 2016 had a median age of 60 years and a tumor thickness of 2.3 mm compared to 62 years and 2.4 mm, respectively, for the patients with cutaneous melanoma diagnosed in 2018. According to the NCDB, 40 % (n = 559) of the patients underwent CLND in 2016 compared with 6 % (n = 132) in 2018. The factors associated with receipt of CLND in 2018 included younger age (odds ratio [OR], 0.97; 95 % confidence interval [CI], 0.95-0.99; p = 0.001), rural residence (OR, 3.96; 95 % CI, 1.50-10.49; p = 0.006), head/neck tumor location (OR, 1.88; 95 % CI, 1.10-3.23; p = 0.021), and more than one positive SLN (OR, 1.80; 95 % CI, 1.17-2.76; p = 0.007). The 5-year OS did not differ between the patients who received SLNB only and those who underwent CLND (hazard ratio [HR], 0.93; p = 0.54).

CONCLUSION

The rates of CLND have decreased nationally. However, patients with head/neck primary tumors who live in rural locations are more likely to undergo CLND, highlighting populations for which treatment may be non-uniform with national practice patterns.

Bacterial Contamination of Ultrasound and Stethoscope Surfaces in Low- and High-Resource Settings

Point-of-care ultrasound is an accurate diagnostic and monitoring tool. Its increasing affordability, portability, and versatility make it an excellent component of standard clinical evaluation alongside the stethoscope. However, like the stethoscope, ultrasound carries risks of surface contamination and potential cross-infection. In this international observational study, we compared the surface contamination of ultrasound equipment to stethoscopes in two medical centers: a tropical low-resource hospital and academic high-resource hospital. Ultrasound equipment and coupling gel had similar prevalence of microbial surface contamination compared with observed stethoscopes. Most microbes were commensal Gram-positive, but some were opportunistic and pathogenic microbes (such as Escherichia coli and Staphylococcus aureus). In conclusion, it is crucial to appreciate and reduce the risk of ultrasound device contaminations. When ultrasound is used bedside, similar to stethoscopes, conscientious hygiene measures are equally fundamental.

Resident perception on the impact of point-of-care ultrasound in clinical care at a family medicine training program in Zambia

Background

Patient access to necessary medical imaging in low- and middle-income countries (LMICs) remains a major obstacle, complicating clinician decision-making and compromising patient outcomes.

Methods

We implemented a longitudinal point-of-care ultrasound (POCUS) training program at a new Family Medicine residency in Zambia and subsequently evaluated residents’ perceptions on the impact of POCUS in patient care. Data were documented by the scanning resident via a post-scan survey, which assessed if/how the scan assisted in medical management, and if/how the scan changed that management. The primary endpoint was frequency of scans assisting and changing management. Data were summarized using descriptive statistics.

Results

Over the 1-year study period, 366 patient encounters occurred in which POCUS was utilized, resulting in a total of 542 unique POCUS scans. POCUS assisted in decision-making in 95.6% (350/366) of patient encounters, most commonly by helping to determine a diagnosis. POCUS changed management in 65.8% (235/357) of patient encounters, most commonly leading to a medication change.

Conclusions

Zambian resident physicians perceived POCUS to be very helpful in their clinical decision-making. These data support the need to advance POCUS education at the residency level throughout LMICs, which may be an ideal strategy to promote widespread utilization of POCUS in low-resource settings globally.

Pre-eclampsia: a Scoping Review of Risk Factors and Suggestions for Future Research Direction

Abstract

Most of maternal deaths are preventable, and one-quarter of maternal deaths are due to pre-eclampsia and eclampsia. Prenatal screening is essential for detecting and managing pre-eclampsia. However, pre-eclampsia screening is solely based on maternal risk factors and has low (< 5% in the USA) detection rates. This review looks at pre-eclampsia from engineering, public health, and medical points of view. First, pre-eclampsia is defined clinically, and the biological basis of established risk factors is described. The multiple theories behind pre-eclampsia etiology should serve as the scientific basis behind established risk factors for pre-eclampsia; however, African American race does not have sufficient evidence as a risk factor. We then briefly describe predictive statistical models that have been created to improve screening detection rates, which use a combination of biophysical and biochemical biomarkers, as well as aspects of patient medical history as inputs. Lastly, technologies that aid in advancing pre-eclampsia screening worldwide are explored. The review concludes with suggestions for more robust pre-eclampsia research, which includes diversifying study sites, improving biomarker analytical tools, and for researchers to consider studying patients before they become pregnant to improve pre-eclampsia detection rates. Additionally, researchers must acknowledge the systemic racism involved in using race as a risk factor and include qualitative measures in study designs to capture the effects of racism on patients.

Lay Summary

Pre-eclampsia is a pregnancy-specific hypertensive disorder that can affect almost every organ system and complicates 2-8% of pregnancies globally. Here, we focus on the biological basis of the risk factors that have been identified for the condition. African American race currently does not have sufficient evidence as a risk factor and has been poorly studied. Current clinical methods poorly predict a patient's likelihood of developing pre-eclampsia; thus, researchers have made statistical models that are briefly described in this review. Then, low-cost technologies that aid in advancing pre-eclampsia screening are discussed. The review ends with suggestions for research direction to improve pre-eclampsia screening in all settings.Overall, we suggest that the future of pre-eclampsia screening should aim to identify those at risk before they become pregnant. We also suggest that the clinical standard of assessing patient risk solely on patient characteristics needs to be reevaluated, that study locations of pre-eclampsia research need to be expanded beyond a few high-income countries, and that low-cost technologies should be developed to increase access to prenatal screening.

Assessment of Sustainable Elimination Criteria for Iodine Deficiency Disorders Recommended by International Organizations

Enormous efforts have been made to evaluate the worldwide prevention and control of iodine deficiency disorders (IDDs). This study evaluated China's achievements in IDD prevention and control against WHO criteria for sustainable elimination of IDD. The study sample consisted of 556,390 school-aged children and 271,935 pregnant women enrolled in the 2018 China National IDD Surveillance. As a result, at the national level, median urine iodine concentration (MUIC) was 206.1 and 163.5 μg/l in children and in pregnant women, respectively. The proportion of households consuming adequate iodized salt (PHCAIS) was 90.2%. The prevalence rates of goiter in children and thyroid disease in pregnant women were 2.0 and 0.8%, respectively. MUIC showed significant non-linear increasing trends with increasing PHCAIS in both children and pregnant women. The prevalence of thyroid disease in pregnant women had a sharp decreasing trend with increasing PHCAIS. Of note, the prevalence of goiter in children and thyroid disease in pregnant women against MUIC both presented as significant U-shaped curves, with the lowest prevalence at 100–300 μg/l of MUIC in children and 150–250 μg/l in pregnant women. PHCAIS, MUIC, and the programmatic indicators at the national level were all above their cut-offs proposed in the 2007 Criteria. Evaluation by adding the prevalence of goiter (<5%) yielded the different results at the county level. Sustainable elimination of IDD has been achieved nationally. 2018 Chinese surveillance data support the expansion of global cut-offs for optimal iodine status in school-age children from 100–199 to 100–299 μg/l as recommended by others and the lower limit of MUIC (150 μg/l) in pregnant women also seems justified. Inclusion of goiter prevalence <5% in our analysis reduced the number of municipalities and counties which had achieved sustainable elimination of IDD.

Inferior Vena Cava Edge Tracking Echocardiography: A Promising Tool with Applications in Multiple Clinical Settings

Ultrasound (US)-based measurements of the inferior vena cava (IVC) diameter are widely used to estimate right atrial pressure (RAP) in a variety of clinical settings. However, the correlation with invasively measured RAP along with the reproducibility of US-based IVC measurements is modest at best. In the present manuscript, we discuss the limitations of the current technique to estimate RAP through IVC US assessment and present a new promising tool developed by our research group, the automated IVC edge-to-edge tracking system, which has the potential to improve RAP assessment by transforming the current categorical classification (low, normal, high RAP) in a continuous and precise RAP estimation technique. Finally, we critically evaluate all the clinical settings in which this new tool could improve current practice.

Dengue Management in Triage using Ultrasound in children from Cambodia: a prospective cohort study

BACKGROUND

Dengue is a mosquito-borne viral infection with increasing global prevalence. It is endemic in more than 100 countries, with a heavy burden in Asia. Ultrasound findings including gallbladder wall thickening, ascites, and pleural effusions secondary to plasma leakage have been described in dengue. We aimed to determine if the presence of point-of-care ultrasound findings early in suspected dengue could predict clinical worsening in ambulatory pediatric patients.

METHODS

We did a prospective, single-blinded, observational cohort study at a children's hospital in Siem Reap, Cambodia during periods of dengue outbreak. Ambulatory patients were screened and children ages > 3 month and ≤ 16 years with suspected acute, non-severe dengue were enrolled. Subjects had chest and abdominal ultrasound exams. Independently, subjects were evaluated by a blinded physician who determined a treatment plan as per usual practice. Follow-up was conducted 7-10 days after the initial visit. Analysis of ultrasound findings was performed to determine their relationship with outcome measures including need for unplanned hospital visits or admissions.

FINDINGS

A total of 2,186 children were screened during periods of national dengue outbreak in Cambodia in consecutive years 2018-2019, and 253 children met eligibility criteria. Results showed patients with gallbladder wall thickening (> 3·0 mm) who were discharged had a significantly more likely need for unplanned visit or hospitalization than those with normal gallbladder wall, 67% (95% CI 44 - 84) versus 17% (95% CI 12 - 24), p < 0.0001. Subjects with any abnormal ultrasound finding were more likely to be directly admitted versus discharged upon initial presentation, 62·2% (95% CI 46.1 - 76.0) versus 19.5% (95% CI 14.8 - 25.4), p < 0.0001.

INTERPRETATION

Point-of-care ultrasound findings, particularly gallbladder wall thickening, in suspected early dengue can help predict disease progression in ambulatory patients. Ultrasound has potential to help guide management of suspected dengue patients and resource management during periods of dengue outbreak.

FUNDING

Society for Academic Emergency Medicine Foundation.

Hepatocellular carcinoma in Hepatitis B and Human Immunodeficiency Virus coinfection in Africa: a focus on surveillance

Human immunodeficiency virus (HIV) and hepatitis-B virus (HBV) infections are weighty public health challenges, especially in the African continent. The direct carcinogenic effect of HBV means that it remains a potent cause of early-onset hepatocellular carcinoma (HCC) in Sub-Saharan Africa (SSA), where it causes significant morbidity and mortality. The presence of HIV infection in HBV-infected patients poses a complicating factor, as coinfection has been shown to hasten the progression of liver disease to cirrhosis and HCC, and often resulting in early-age hepatocarcinogenesis with consequent late diagnosis and lower survival. In this review, we discuss this unique conundrum, the epidemiology of HIV-HBV coinfection in SSA, its effect on liver disease and development of HCC, as well as practices and barriers to HCC surveillance in this distinct population. We propose a way forward to curb this considerable health burden focusing on reduction of disease stigma, the need for easy-to-measure biomarkers, and implementation of large prospective studies in this population.

Testing and diagnosis of SARS-CoV-2 infection

The recent outbreak of the coronavirus disease 2019 (COVID-19) has rapidly spread around the world since its discovery in China, in December 2019. The current standard method for determining whether a patient is infected with the SARS-CoV-2 virus involves taking a nasal or throat swab sample, which is then sent to laboratories for testing. The laboratories then use polymerase chain reaction (PCR)-based technology on respiratory specimens remain the gold standard to determine if the genetic material of the virus is present in the sample and use this information to diagnose the patient. However, serologic immunoassays and point-of-care technologies are rapidly emerging with high specificity and sensitivity as well. Even if there are excellent techniques for diagnosing symptomatic patients with COVID-19 in equipped laboratories, critical gaps still exist in the screening of asymptomatic individuals who are in the incubation phase of the virus, as well as in the accurate determination of live virus shedding during convalescence to inform decisions for ending isolation.

Implementation of lung ultrasound in low- to middle-income countries: a new challenge global health?

Pneumonia remains the leading cause of death globally in children under the age of five. The poorest children are the ones most at risk of dying. In the recent years, lung ultrasound has been widely documented as a safe and easy tool for the diagnosis and monitoring of pneumonia and several other respiratory infections and diseases. During the pandemic, it played a primary role to achieve early suspicion and prediction of severe COVID-19, reducing the risk of exposure of healthcare workers to positive patients. However, innovations that can improve diagnosis and treatment allocation, saving hundreds of thousands of lives each year, are not reaching those who need them most. In this paper, we discuss advantages and limits of different tools for the diagnosis of pneumonia in low- to middle-income countries, highlighting potential benefits of a wider access to lung ultrasound in these settings and barriers to its implementation, calling international organizations to ensure the indiscriminate access, quality, and sustainability of the provision of ultrasound services in every setting. What is Known: • Pneumonia remains the leading cause of death globally in children under the age of five. The poorest children are the ones most at risk of dying. In the recent years, lung ultrasound has been widely documented as a safe and easy tool for the diagnosis and monitoring of pneumonia and several other respiratory infections and diseases. During the pandemic, it played a primary role to achieve early suspicion and prediction of severe COVID-19, reducing the risk of exposure of healthcare workers to positive patients. However, innovations that can improve diagnosis and treatment allocation, saving hundreds of thousands of lives each year, are not reaching those who need them most. What is New: • We discuss advantages and limits of different tools for the diagnosis of pneumonia in low- to middle-income countries, highlighting potential benefits of a wider access to lung ultrasound in these settings and barriers to its implementation, calling international organizations to ensure the indiscriminate access, quality, and sustainability of the provision of ultrasound services in every setting.

Spectrum of cardiovascular diseases at a referral tertiary care hospital in Somalia, Mogadishu: an echocardiographic study

BACKGROUND

To investigate the frequencies and patterns of cardiovascular diseases (CVDs), including rheumatic and congenital heart diseases, among patients with abnormal hearts assessed by echocardiographic examination.

METHODS

This retrospective, descriptive registry reviewed abnormal echocardiographic findings of 1140 patients aged 0-100 years who were admitted to the cardiology outpatient clinic at a tertiary training institution in Mogadishu.

RESULTS

Hypertensive heart disease (HHD) (n:454, 39.8%), valvular heart disease (VHD) (n:395, 34.6%), and heart failure with reduced ejection fraction (HFrEF) (n:351, 30.8%) were the most frequent comorbidities. Congenital heart diseases (CHDs) were detected in 151 (13.2%) of the patients, with the most common ones including atrial septal defect (ASD) (n:37, 3.2%) and ventricular septal defect (VSD) (n:26, 2.3%). Rheumatic heart disease (RHD) was observed in 84 (7.4%) patients, among whom the most common age range was 16-30 years (40.5%), followed by 31-45 years (31%) and 0-15 years (15.5%). Mitral insufficiency (n:541, 47.5%) was detected as the most frequent VHD, followed by aortic insufficiency (n:437, 38.3%), and tricuspid insufficiency (n:264, 23.2%) and mitral valve stenosis (n:39, 3.4%) was the least common VHD.

CONCLUSION

In the present study, we found that HHD was the most common comorbidity, followed by VHD, and HFrEF. Moreover, the most common VHD was mitral insufficiency and the most common CHD was ASD.