AIUM Practice Parameter for the Performance of a Peripheral Venous Ultrasound Examination

Ultrasound evaluation of peripheral intravenous catheter thrombus formation associated with intravenous flucloxacillin administration: A prospective observational pilot study

Purpose

The purpose of this study was to sonographically evaluate whether intravenous (IV) flucloxacillin administration was associated with an increased risk of peripheral intravenous catheter (PIVC) thrombus formation.

Methods

This observational study included participants enrolled as a convenience sample from a larger prospective study of patients with cellulitis receiving IV antibiotics in the emergency department. Point-of-care ultrasound was used to evaluate the PIVCs for thrombus formation after insertion and at specified timepoints after IV administration of antibiotic or saline solution through to discharge. The primary endpoint included the presence and length of the thrombus in proximity of the catheter tip.

Results

Between May 2021 and June 2022, 25 participants were enrolled and received either IV flucloxacillin (n = 10), other IV antibiotics (n = 8) or no IV antibiotics (control; n = 7). PIVC thrombus formation was sonographically detected in 100%, 67% and 17% of patients in flucloxacillin, other and control groups at 6-12 h (flucloxacillin vs. control; P = 0.015), with a mean length of 17.4 ± 8.1 (flucloxacillin vs. control; P = 0.46), 15.5 ± 13.4 (other vs. control; P = 0.73) and 7.3 ± 17.9 mm (control), respectively. Thrombus formation increased significantly in the flucloxacillin group over time (0->12 h; P = 0.03) but did not increase in the other or control groups.

Discussion

The administration of IV flucloxacillin appears to promote the formation of a PIVC thrombus visible on ultrasound, but the clinical implications are uncertain. Although the vast majority appear to be asymptomatic, they have the potential to become a precursor to thrombophlebitis and lead to early PIVC failure.

Conclusions

It was feasible to identify and measure PIVC thrombus sonographically. Ultrasound showed that IV flucloxacillin administration appeared to be associated with more frequent formation of PIVC thrombus, with these increasing in length over time. Further research is required to confirm these findings in larger studies and to identify any clinical implications of the findings.

Influence of pre-existing maternal diabetes mellitus on fetal myocardial performance index and systolic-to-diastolic duration ratio: a prospective cohort study

OBJECTIVE

To evaluate the influence of pre-existing maternal diabetes mellitus on fetal myocardial performance index and systolic-to-diastolic duration ratio.

METHODS

Prospective cohort study included 179 pregnant women between 20 and 36w6d, divided into 3 groups: Group 1 (120, normal), Group 2 (31, type 1 diabetes mellitus), and Group 3 (28, type 2 diabetes mellitus). Systolic-to-diastolic duration ratio was calculated as the sum of isovolumic contraction time and ejection time divided by the sum of isovolumic relaxation time and ventricular filling time. Spectral Doppler was used to assess left ventricle systolic-to-diastolic duration ratio. Tissue Doppler was used to assess right ventricular filling time. Using spectral Doppler, left ventricle myocardial performance index was calculated as the sum of isovolumic contraction time and isovolumic relaxation time divided by ejection time.

RESULTS

Pre-existing maternal diabetes mellitus had a significant influence on fasting glucose levels (p < 0.001), left ventricle isovolumic contraction time (p < 0.001), left ventricle ejection time (p = 0.025), and left ventricle myocardial performance index (p < 0.001). Group 2 had higher left ventricle isovolumic contraction time (0.036 vs. 0.031 sec, p = 0.001) and left ventricle myocardial performance index (0.487 vs. 0.453, p = 0.003) compared with Group 1. Group 3 showed higher left ventricle myocardial performance index (0.492 vs. 0.449, p = 0.006) and lower left ventricle ejection time (0.161 vs. 0.169 sec, p = 0.038) than Group 1. Left ventricle systolic-to-diastolic duration (p = 0.704), right ventricle systolic-to-diastolic duration ratio' (p = 0.757), left ventricle isovolumic contraction time (p = 0.163), left ventricle ejection time (p = 0.093), and left ventricle myocardial performance index (p = 0.087) were not useful parameters in predicting composite neonatal outcomes.

CONCLUSION

Pre-existing maternal diabetes mellitus had significant influence on fetal left ventricle myocardial performance index, but no effect on systolic-to-diastolic duration ratio. Systolic-to-diastolic duration ratio was not useful in predicting adverse perinatal outcomes.

Common femoral vein wall thickness measurement by Doppler ultrasonography is an accurate diagnostic test for Behçet's Disease both in supine and standing positions

OBJECTIVES

We recently reported the first controlled Doppler ultrasonography (US) study demonstrating increased common femoral vein (CFV) thickness in Behçet's Disease (BD). Standard lower extremity venous Doppler US is performed in erect position. In order to confirm accuracy and applicability of method, we measured CFV thickness in both supine and standing positions in this study.

METHOD

We included sex and age-matched 42 BD patients and 41 healthy controls (HCs). After routine visits, bilateral CFV thickness was measured with Doppler US both in supine and standing positions.

RESULTS

Bilateral CFV thickness was significantly higher in BD than in HC. There were no statistically significant differences in measurements of CFV wall thickness between standing and supine positions in both groups.

CONCLUSIONS

CFV measurement by Doppler US is a new and non-invasive diagnostic tool for the diagnosis of BD. Our study confirmed that patient position does not affect CFV wall thickness measurement for diagnosis of BD.

Controlled prospective study on ultrasound simulation training in fetal echocardiography: FESIM II

PURPOSE

To analyze the learning curves of ultrasound novices in fetal echocardiography during structured simulation-based ultrasound training (SIM-UT) including a virtual, randomly moving fetus.

METHODS

11 medical students with minimal (< 10 h) prior obstetric ultrasound experience underwent 12 h of structured fetal echocardiography SIM-UT in individual hands-on sessions during a 6-week training program. Their learning progress was assessed with standardized tests after 2, 4, and 6 weeks of SIM-UT. Participants were asked to obtain 11 fetal echocardiography standard planes (in accordance with ISUOG and AHA guidelines) as quickly as possible. All tests were carried out under real life, examination-like conditions on a healthy, randomly moving fetus. Subsequently, we analyzed the rate of correctly obtained images and the total time to completion (TTC). As reference groups, 10 Ob/Gyn physicians (median of 750 previously performed Ob/Gyn scans) and 10 fetal echocardiography experts (median of 15,000 previously performed Ob/Gyn scans) were examined with the same standardized tests.

RESULTS

The students showed a consistent and steady improvement of their ultrasound performance during the training program. After 2 weeks, they were able to obtain > 95% of the standard planes correctly. After 6 weeks, they were significantly faster than the physician group (p < 0.001) and no longer significantly slower than the expert group (p = 0.944).

CONCLUSION

SIM-UT is highly effective to learn fetal echocardiography. Regarding the acquisition of the AHA/ISUOG fetal echocardiography standard planes, the students were able to reach the same skill level as the expert group within 6 weeks.

Prenatal Diagnosis of Congenital Heart Disease: The Crucial Role of Perinatal and Delivery Planning

Although most congenital heart defects (CHDs) are asymptomatic at birth, certain CHD lesions are at significant risk of severe hemodynamic instability and death if emergent cardiac interventions are not performed in a timely fashion. Therefore, accurate identification of at-risk fetuses and appropriate delivery resource planning according to the degree of anticipated hemodynamic instability is crucial. Fetal echocardiography has increased prenatal CHD detection in recent years due to advancements in ultrasound techniques and improved obstetrical cardiac screening protocols, enabling the prediction of newborns' hemodynamic status. This assessment can guide multidisciplinary resource planning for postnatal care, including selection of delivery site, delivery room management, and transport to a cardiac center based on CHD risk severity. This review will discuss fetal cardiovascular physiology and the circulatory changes that occur at the time of and immediately following birth, outline fetal echocardiographic findings used to risk-stratify newborns with CHDs, and outline principles for neonatal resuscitation and initial transitional care in neonates with these complex CHD lesions.

Varicose Veins and the Diagnosis of Chronic Venous Disease in the Lower Extremities

Varicose veins usually present in the superficial veins of the lower extremities and are one of the main clinical presentations of chronic venous disease (CVD). Patients' symptoms may vary according to the pathophysiology, location, and severity of CVD. The prevalence of CVD in Korea has been increasing gradually. However, due to its broad clinical spectrum and the subjective nature of its diagnosis using ultrasound, discrepancies in diagnostic and treatment quality may exist among treating physicians. There have been recent efforts to improve the quality of the diagnosis and treatment of varicose veins in Korea by standardizing the diagnostic criteria and the indications for treatment. This study is a comprehensive review of the clinical manifestations and diagnostic criteria of CVD based on the most recent international and domestic guidelines and reports.

Superficial Venous Thrombosis: A Comprehensive Review

Superficial venous thrombosis (SVT), an inflammatory-thrombotic process of a superficial vein, is a relatively common event that may have several different underlying causes. This phenomenon has been generally considered benign, and its prevalence has been historically underestimated; the estimated incidence ranges from about 0.3 to 1.5 event per 1000 person-years, while the prevalence is approximately 3 to 11%, with different reports depending on the population studied. However, such pathology is not free of complications; indeed, it could extend to the deep circulation and embolize to pulmonary circulation. For this reason, an ultrasound examination is recommended to evaluate the extension of SVT and to exclude the involvement of deep circulation. Also, SVT may be costly, especially in the case of recurrence. Therefore, accurate management is necessary to prevent sequelae and costs related to the disease. This review aims to analyse the epidemiology of SVT, its complications, optimal medical treatment, and open questions with future perspectives.

Evaluation of an artificial intelligent algorithm (Heartassist™) to automatically assess the quality of second trimester cardiac views: a prospective study

OBJECTIVES

The aim of this study was to evaluate the agreement between visual and automatic methods in assessing the adequacy of fetal cardiac views obtained during second trimester ultrasonographic examination.

METHODS

In a prospective observational study frames of the four-chamber view left and right outflow tracts, and three-vessel trachea view were obtained from 120 consecutive singleton low-risk women undergoing second trimester ultrasound at 19-23 weeks of gestation. For each frame, the quality assessment was performed by an expert sonographer and by an artificial intelligence software (Heartassist™). The Cohen's κ coefficient was used to evaluate the agreement rates between both techniques.

RESULTS

The number and percentage of images considered adequate visually by the expert or with Heartassist™ were similar with a percentage >87 % for all the cardiac views considered. The Cohen's κ coefficient values were for the four-chamber view 0.827 (95 % CI 0.662-0.992), 0.814 (95 % CI 0.638-0.990) for left ventricle outflow tract, 0.838 (95 % CI 0.683-0.992) and three vessel trachea view 0.866 (95 % CI 0.717-0.999), indicating a good agreement between the two techniques.

CONCLUSIONS

Heartassist™ allows to obtain the automatic evaluation of fetal cardiac views, reached the same accuracy of expert visual assessment and has the potential to be applied in the evaluation of fetal heart during second trimester ultrasonographic screening of fetal anomalies.

A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography

Duct-dependent congenital heart diseases (CHDs) are a serious form of CHD with a low detection rate, especially in underdeveloped countries and areas. Although existing studies have developed models for fetal heart structure identification, there is a lack of comprehensive evaluation of the long axis of the aorta. In this study, a total of 6698 images and 48 videos are collected to develop and test a two-stage deep transfer learning model named DDCHD-DenseNet for screening critical duct-dependent CHDs. The model achieves a sensitivity of 0.973, 0.843, 0.769, and 0.759, and a specificity of 0.985, 0.967, 0.956, and 0.759, respectively, on the four multicenter test sets. It is expected to be employed as a potential automatic screening tool for hierarchical care and computer-aided diagnosis. Our two-stage strategy effectively improves the robustness of the model and can be extended to screen for other fetal heart development defects.

Fetal intelligent navigation echocardiography (FINE) has superior performance compared to manual navigation of the fetal heart by non-expert sonologists

OBJECTIVES

Manual and intelligent navigation (i.e. fetal intelligent navigation echocardiography or FINE) by the operator are two methods to obtain standard fetal cardiac views from spatiotemporal image correlation (STIC) volumes. The objective was to compare the performance between manual and intelligent navigation (FINE) of the fetal heart by non-expert sonologists.

METHODS

In this prospective observational study, ten sonologists underwent formal training on both navigational methods. Subsequently, they were tested on their ability to obtain nine cardiac views from five STIC volumes of normal fetal hearts (19-28 gestational weeks) using such methods. The following parameters were determined for both methods: (1) success rate of obtaining nine cardiac views; (2) mean time to obtain nine cardiac views per sonologist; and (3) maximum number of cardiac views successfully obtained for each STIC volume.

RESULTS

All fetal cardiac images obtained from 100 STIC volumes (50 for each navigational method) were reviewed by an expert in fetal echocardiography. Compared to manual navigation, FINE was associated with a significantly: (1) higher success rate of obtaining eight (excluding the abdomen view) appropriate cardiac views (92-100% vs. 56-88%; all p<0.05); (2) shorter mean time (minute:seconds) to obtain nine cardiac views (2:11 ± 0:37 vs. 15:49 ± 7:44; p<0.0001); and (3) higher success rate of obtaining all nine cardiac views for a given STIC volume (86 vs. 14%; p<0.001).

CONCLUSIONS

When performed by non-expert sonologists, intelligent navigation (FINE) had a superior performance compared to manual navigation of the normal fetal heart. Specifically, FINE obtained appropriate fetal cardiac views in 92-100% of cases.

Imaging fetal anatomy

Due to advancements in ultrasound techniques, the focus of antenatal ultrasound screening is moving towards the first trimester of pregnancy. The early first trimester however remains in part, a 'black box', due to the size of the developing embryo and the limitations of contemporary scanning techniques. Therefore there is a need for images of early anatomical developmental to improve our understanding of this area. By using new imaging techniques, we can not only obtain better images to further our knowledge of early embryonic development, but clear images of embryonic and fetal development can also be used in training for e.g. sonographers and fetal surgeons, or to educate parents expecting a child with a fetal anomaly. The aim of this review is to provide an overview of the past, present and future techniques used to capture images of the developing human embryo and fetus and provide the reader newest insights in upcoming and promising imaging techniques. The reader is taken from the earliest drawings of da Vinci, along the advancements in the fields of in utero ultrasound and MR imaging techniques towards high-resolution ex utero imaging using Micro-CT and ultra-high field MRI. Finally, a future perspective is given about the use of artificial intelligence in ultrasound and new potential imaging techniques such as synchrotron radiation-based CT to increase our knowledge regarding human development.

Artificial intelligence in the pediatric echocardiography laboratory: Automation, physiology, and outcomes

Artificial intelligence (AI) is frequently used in non-medical fields to assist with automation and decision-making. The potential for AI in pediatric cardiology, especially in the echocardiography laboratory, is very high. There are multiple tasks AI is designed to do that could improve the quality, interpretation, and clinical application of echocardiographic data at the level of the sonographer, echocardiographer, and clinician. In this state-of-the-art review, we highlight the pertinent literature on machine learning in echocardiography and discuss its applications in the pediatric echocardiography lab with a focus on automation of the pediatric echocardiogram and the use of echo data to better understand physiology and outcomes in pediatric cardiology. We also discuss next steps in utilizing AI in pediatric echocardiography.

Fetal cardiac sectional schemas - Normal and abnormal. Part 1: Upper abdominal and thoracic sections

Background

A representational illustrated cardiac schema is useful for understanding and interpreting normal and abnormal fetal echocardiographic findings.

Aim

Normal and abnormal fetal echocardiographic images can be better appreciated with the support of sectional schemas.

Settings and Design

An attempt is made to include normal and abnormal variations in both grayscale and color images for easy understanding with the help of the schemas.

Materials and Methods

The fetal cardiac sectional schemas are drawn by the author, using Microsoft Office Word drawing canvas. It is based on the best grayscale, color Doppler, power-angio, 3-dimensional, and high definition flow ultrasound images, supported by embryological and anatomic specimens in literature. Different sections are drawn in accordance with the planes suggested by Society for Maternal-Fetal Medicine, Society of Radiologists in Ultrasound, American College of Obstetricians and Gynecologists, American Institute of Ultrasound in Medicine, American College of Radiology, and American Society of Echocardiography. Every effort has been meticulously pursued to match with the best ultrasound images with minor modifications for better clarity, understanding, and reproducibility.

Results

The drawings include normal and most of the common cardiac anomalies depicting different sectional views starting from the abdomen and upward. Each drawing complies with the ultrasound images. Users with basic computer knowledge can easily modify these images using them as templates for reference, reporting, and publications.

Conclusions

An attempt is made to represent the fetal echocardiographic images by simplified memorable sectional schemas. These schemas will facilitate a better understanding and interpretation of various normal and abnormal fetal echocardiographic images. Being electronically transmittable, these schemas can be used as templates for further modifications.

Predictable Risk Factors of Upper-Extremity Deep Venous Thrombosis in a Level I Trauma Center

Background

Venous thromboembolism is a common cause of morbidity and mortality in hospital patients, especially that of the lower extremities. Risk factors and diagnostic elements of upper-extremity deep-vein thrombosis (UEDVT) are poorly understood compared to those of the lower extremities. The primary objectives of this study were to identify predictive risk factors of secondary UEDVT.

Methods

This retrospective study included all nonpregnant patients aged >18 years who had undergone upper-extremity duplex scans to check for the presence of secondary UEDVT at Richmond University Medical Center from January 2014 to March 2020. Patients were stratified by presence or absence of UEDVT. Collected data points included patient demographics, comorbidities, central-line use, platelet count at time of scan, length of stay, and overall mortality. IBM 27.0 was used for all statistical analysis, with p<0.05 considered significant.

Results

A total of 1,009 upper extremity venous duplex studies were included. There were no significant differences in age, sex, race, or mean platelet levels between patients diagnosed with DVT and those without (p<0.05). After multinomial regression analysis, central venous catheter (CVC; 26.8% versus 78.5%, aOR 1.770, 95% CI 1.150–2.725; p<0.002), peripherally inserted central catheter (PICC) line (17.5% versus 82.5%, aOR3.254, 95% CI 1.997–5.304; p<0.001), hypertension (67.8% versus 28.8%, aOR 1.641, 95% CI 1.136–2.369; p<0.001), chronic kidney disease (CKD; 34.5% versus 65.5%, aOR 1.743, 95% CI 1.201–2.531; p<0.001), and malignancy (27.1% versus 74.6%, aOR 1.475, 95% CI 0.994–2.190; p<0.053) were found to be independent predictors of UEDVT.

Conclusion

Use of CVC or PICC line, preexisting diagnosis of hypertension, malignancy, and CKD were independent risk factors of UEDVT, while there was no significant correlation between increased platelet levels and UEDVT.

An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease

Congenital heart disease (CHD) is the most common birth defect. Fetal screening ultrasound provides five views of the heart that together can detect 90% of complex CHD, but in practice, sensitivity is as low as 30%. Here, using 107,823 images from 1,326 retrospective echocardiograms and screening ultrasounds from 18- to 24-week fetuses, we trained an ensemble of neural networks to identify recommended cardiac views and distinguish between normal hearts and complex CHD. We also used segmentation models to calculate standard fetal cardiothoracic measurements. In an internal test set of 4,108 fetal surveys (0.9% CHD, >4.4 million images), the model achieved an area under the curve (AUC) of 0.99, 95% sensitivity (95% confidence interval (CI), 84-99%), 96% specificity (95% CI, 95-97%) and 100% negative predictive value in distinguishing normal from abnormal hearts. Model sensitivity was comparable to that of clinicians and remained robust on outside-hospital and lower-quality images. The model's decisions were based on clinically relevant features. Cardiac measurements correlated with reported measures for normal and abnormal hearts. Applied to guideline-recommended imaging, ensemble learning models could significantly improve detection of fetal CHD, a critical and global diagnostic challenge.