Patients' Perceptions of Using Technology for Self-Reporting Cancer Medication Safety Events from Home.

Frequent transitions of care among patients with cancer increase their risks for medication safety events (MSEs). Patients and families need to become "vigilant partners" in MSE self-reporting when transitioning back home. However, limited evidence is available to guide patient and family engagement in preventing and managing MSEs. This study explored patients' perceptions of using technology for MSE self-reporting by interviewing 41 patients with breast, prostate, lung, or colorectal cancer. The findings revealed that patients with cancer perceived technology as convenient and easy to use to address urgent MSE concerns. However, the lack of access to technology and being unconfident in using technology can be barriers to using technology for MSE reporting. Personalized support is needed to facilitate patients' engagement in MSE self-reporting. Factors identified in the study will further support the user-centered design and development of technology systems that can support patients' needs and expectations for medication safety.

Sedation and anesthesia for imaging of the infant and neonate-a brief review.

Sedation and anesthesia are often required in order to facilitate collection of high-quality imaging studies free of significant motion artifact for infants and neonates. Provision of safe sedation and anesthesia requires good communication between the ordering provider, radiologist, and anesthesiologist, careful pre-procedural evaluation of the patient, and availability of appropriate and sufficient equipment, drugs, personnel, and facilities. There are many additional factors to be considered for provision of safe sedation or anesthesia for infants and neonates-it is ideal to involve a fellowship-trained pediatric anesthesiologist in the planning and carry-out of these plans. In this review, we discuss some of the basic definitions of sedation and anesthesia, requirements for safe sedation and anesthesia, and many of the germane risks and additional considerations that factor into the delivery of a safe sedation or anesthesia plan for the imaging of an infant or neonate.

Pupillary Light Reflex Detected by Ophthalmic Ultrasonography in Critically Ill Children With Difficult to Assess Pupils.

Direct visualization of the eye can be difficult or impossible when there is significant facial burns, trauma, or edema. We present 4 nonresponsive, critically ill children whose pupils could not be directly visualized. Ophthalmic ultrasound revealed pupillary reactivity at presentation and throughout their recovery. Determining pupillary reactivity in these nonresponsive patients impacted their initial triage, resuscitation, and medical management. We propose that ophthalmic point-of-care ultrasonography can assess the pupillary light reflex in critically ill children whose pupils cannot be directly visualized.

The relationship between medication beliefs, patient activation, and self-rated health in patients taking oral anticancer agents.

PURPOSE: Patients on oral anticancer agent (OAA) therapies have the autonomy to manage their cancer treatments in home settings. However, patients may not have adequate knowledge, confidence, or ability to effectively manage OAA-related consequences, which can significantly impact their treatment and health outcomes. This study aims to identify the associations between medication beliefs, patient activation, and self-rated health (SRH) among oncology patients taking OAAs and explore the potential mediation effects of patient activation on the relationship between medication beliefs and SRH. METHODS: A secondary data analysis was conducted on cross-sectional data from 114 patients who were diagnosed with breast, colorectal, lung, or prostate cancer. Patients completed a self-reported survey including items of SRH, Beliefs about Medicines Questionnaire (BMQ), and Patient Activation Measure (PAM-13). Descriptive statistics, bivariate correlation, hierarchical multiple linear regression, and mediation analysis were conducted. RESULTS: The results indicate that patients taking OAAs have ambivalent attitudes toward medication. Both medication necessity (r = - 0.27) and concerns (r = - 0.21) were negatively associated with SRH, while patient activation was positively associated with SRH (r = 0.38). Patient activation had a negative association with medication concerns (r = - 0.36) and fully mediated the relationship between medication concerns and SRH in patients taking OAAs (indirect effect = - 0.154, 95% confidence interval, - 0.276 to - 0.060). CONCLUSION: The findings highlight the significance of activating patients to better understand and manage their OAAs. It is crucial for oncology professionals to provide multifaceted interventions to promote patient activation with an effort to mitigate the negative impact of medication beliefs on patient-perceived health outcomes.

Oncology patients' willingness to report their medication safety concerns from home: a qualitative study.

PURPOSE: Oncology patients often struggle to manage their medications and related adverse events during transitions of care. They are expected to take an active role in self-monitoring and timely reporting of their medication safety events or concerns to clinicians. The purpose of this study was to explore the factors influencing oncology patients' willingness to report adverse events or concerns related to their medication after their transitions back home. METHODS: A qualitative interview study was conducted with adult patients with breast, prostate, lung, or colorectal cancer who experienced care transitions within the previous year. A semi-structured interview guide was developed to understand patients' perceptions of reporting mediation-related safety events or concerns from home. All interviews were conducted via phone calls, recorded, and transcribed for thematic data analysis. RESULTS: A total of 41 individuals participated in the interviews. Three main themes and six subthemes emerged, including patients' perceived relationship with clinicians (the quality of communication and trust in clinicians), perceived severity of adverse medication events (perceived severe vs. non-severe events), and patient activation in self-management (self-efficacy in self-management and engagement in monitoring health outcomes). CONCLUSION: The patient-clinician relationship significantly affects patients' reporting behaviors, which can potentially interact with other factors, including the severity of adverse events. It is important to engage oncology patients in medication safety self-reporting from home by enhancing health communication, understanding patients' perceptions of severe events, and promoting patient activation. By addressing these efforts, healthcare providers should adopt a more patient-centered approach to enhance the overall quality and safety of oncological care.

Development and Characterization of Hemoglobin Microbubbles for Acoustic Blood Oxygen Level Dependent Imaging.

Oxygen levels in tissues and organs are crucial for their normal functioning, and approaches to monitor them non-invasively have wide biological and clinical applications. In this study, we developed a method of acoustically detecting oxygenation using contrast-enhanced ultrasound (CEUS) imaging. Our approach involved the use of specially designed hemoglobin-based microbubbles (HbMBs) that reversibly bind to oxygen and alter the state-dependent acoustic response. We confirmed that the bioactivity of hemoglobin remained intact after the microbubble shell was formed, and we did not observe any significant loss of heme. We conducted passive cavitation detection (PCD) experiments to confirm whether the acoustic properties of HbMBs vary based on the level of oxygen present. The experiments involved driving the HbMBs with a 1.1 MHz focused ultrasound transducer. Through the PCD data collected, we observed significant differences in the subharmonic and harmonic responses of the HbMBs when exposed to an oxygen-rich environment versus an oxygen-depleted one. We used a programmable ultrasound system to capture high-frame rate B mode videos of HbMBs in both oxy and deoxy conditions at the same time in a two-chambered flow phantom and observed that the mean pixel intensity of deoxygenated HbMB was greater than in the oxygenated state using B-mode imaging. Finally, we demonstrated that HbMBs can circulate in vivo and are detectable by a clinical ultrasound scanner. To summarize, our results indicate that CEUS imaging with HbMB has the potential to detect changes in tissue oxygenation and could be a valuable tool for clinical purposes in monitoring regional blood oxygen levels.

Intravenous administration of ultrasound contrast to critically ill pediatric patients.

BACKGROUND: The off-label use of contrast-enhanced ultrasound has been increasingly used for pediatric patients. OBJECTIVE: The purpose of this retrospective study is to report any observed clinical changes associated with the intravenous (IV) administration of ultrasound contrast to critically ill neonates, infants, children, and adolescents. MATERIALS AND METHODS: All critically ill patients who had 1 or more contrast-enhanced ultrasound scans while being closely monitored in the neonatal, pediatric, or pediatric cardiac intensive care units were identified. Subjective and objective data concerning cardiopulmonary, neurological, and hemodynamic monitoring were extracted from the patient's electronic medical records. Vital signs and laboratory values before, during, and after administration of ultrasound contrast were obtained. Statistical analyses were performed using JMP Pro, version 15. Results were accepted as statistically significant for P-value<0.05. RESULTS: Forty-seven contrast-enhanced ultrasound scans were performed on 38 critically ill patients, 2 days to 17 years old, 19 of which were female (50%), and 19 had history of prematurity (50%). At the time of the contrast-enhanced ultrasound scans, 15 patients had cardiac shunts or a patent ductus arteriosus, 25 had respiratory failure requiring invasive mechanical oxygenation and ventilation, 19 were hemodynamically unstable requiring continual vasoactive infusions, and 8 were receiving inhaled nitric oxide. In all cases, no significant respiratory, neurologic, cardiac, perfusion, or vital sign changes associated with IV ultrasound contrast were identified. CONCLUSION: This study did not retrospectively identify any adverse clinical effects associated with the IV administration of ultrasound contrast to critically ill neonates, infants, children, and adolescents.

Microvascular imaging findings in infants with bacterial meningitis: a case series.

Bacterial meningitis is a severe and life-threatening disease that rapidly progresses in neonates and infants; prompt diagnosis and appropriate treatment are lifesaving. Magnetic resonance imaging remains the primary imaging technique for diagnosing meningitis; however, due to its limited availability and cost, ultrasound is often used for initial screening. Microvascular imaging ultrasound (MVI) is an emerging technique that offers insight into the brain microvasculature beyond conventional ultrasound. Here we present three patients with confirmed bacterial meningitis and associated cerebral microvascular findings on brain MVI to instigate further validation of cerebral microvascular imaging markers of bacterial meningitis for early detection and intervention.

The Acceptance and Use of Digital Technologies for Self-Reporting Medication Safety Events After Care Transitions to Home in Patients With Cancer: Survey Study.

BACKGROUND: Actively engaging patients with cancer and their families in monitoring and reporting medication safety events during care transitions is indispensable for achieving optimal patient safety outcomes. However, existing patient self-reporting systems often cannot address patients' various experiences and concerns regarding medication safety over time. In addition, these systems are usually not designed for patients' just-in-time reporting. There is a significant knowledge gap in understanding the nature, scope, and causes of medication safety events after patients' transition back home because of a lack of patient engagement in self-monitoring and reporting of safety events. The challenges for patients with cancer in adopting digital technologies and engaging in self-reporting medication safety events during transitions of care have not been fully understood. OBJECTIVE: We aim to assess oncology patients' perceptions of medication and communication safety during care transitions and their willingness to use digital technologies for self-reporting medication safety events and to identify factors associated with their technology acceptance. METHODS: A cross-sectional survey study was conducted with adult patients with breast, prostate, lung, or colorectal cancer (N=204) who had experienced care transitions from hospitals or clinics to home in the past 1 year. Surveys were conducted via phone, the internet, or email between December 2021 and August 2022. Participants' perceptions of medication and communication safety and perceived usefulness, ease of use, attitude toward use, and intention to use a technology system to report their medication safety events from home were assessed as outcomes. Potential personal, clinical, and psychosocial factors were analyzed for their associations with participants' technology acceptance through bivariate correlation analyses and multiple logistic regressions. RESULTS: Participants reported strong perceptions of medication and communication safety, positively correlated with medication self-management ability and patient activation. Although most participants perceived a medication safety self-reporting system as useful (158/204, 77.5%) and easy to use (157/204, 77%), had a positive attitude toward use (162/204, 79.4%), and were willing to use such a system (129/204, 63.2%), their technology acceptance was associated with their activation levels (odds ratio [OR] 1.83, 95% CI 1.12-2.98), their perceptions of communication safety (OR 1.64, 95% CI 1.08-2.47), and whether they could receive feedback after self-reporting (OR 3.27, 95% CI 1.37-7.78). CONCLUSIONS: In general, oncology patients were willing to use digital technologies to report their medication events after care transitions back home because of their high concerns regarding medication safety. As informed and activated patients are more likely to have the knowledge and capability to initiate and engage in self-reporting, developing a patient-centered reporting system to empower patients and their families and facilitate safety health communications will help oncology patients in addressing their medication safety concerns, meeting their care needs, and holding promise to improve the quality of cancer care.

Improving sub-pixel accuracy in ultrasound localization microscopy using supervised and self-supervised deep learning.

With a spatial resolution of tens of microns, ultrasound localization microscopy (ULM) reconstructs microvascular structures and measures intravascular flows by tracking microbubbles (1-5 µm) in contrast enhanced ultrasound (CEUS) images. Since the size of CEUS bubble traces, e.g. 0.5-1 mm for ultrasound with a wavelength λ = 280 µm, is typically two orders of magnitude larger than the bubble diameter, accurately localizing microbubbles in noisy CEUS data is vital to the fidelity of the ULM results. In this paper, we introduce a residual learning based supervised super-resolution blind deconvolution network (SupBD-net), and a new loss function for a self-supervised blind deconvolution network (SelfBD-net), for detecting bubble centers at a spatial resolution finer than λ/10. Our ultimate purpose is to improve the ability to distinguish closely located microvessels and the accuracy of the velocity profile measurements in macrovessels. Using realistic synthetic data, the performance of these methods is calibrated and compared against several recently introduced deep learning and blind deconvolution techniques. For bubble detection, errors in bubble center location increase with the trace size, noise level, and bubble concentration. For all cases, SupBD-net yields the least error, keeping it below 0.1 λ. For unknown bubble trace morphology, where all the supervised learning methods fail, SelfBD-net can still maintain an error of less than 0.15 λ. SupBD-net also outperforms the other methods in separating closely located bubbles and parallel microvessels. In macrovessels, SupBD-net maintains the least errors in the vessel radius and velocity profile after introducing a procedure that corrects for terminated tracks caused by overlapping traces. Application of these methods is demonstrated by mapping the cerebral microvasculature of a neonatal pig, where neighboring microvessels separated by 0.15 λ can be readily distinguished by SupBD-net and SelfBD-net, but not by the other techniques. Hence, the newly proposed residual learning based methods improve the spatial resolution and accuracy of ULM in micro- and macro-vessels.

Cerebral Microvascular Imaging in Infants: Scan Technique and Potential Clinical Applications.

ABSTRACT: Brain ultrasound in infants, although widely utilized, provides limited functional insights into the brain. Although color and power Doppler ultrasounds have allowed quantitative assessment of cerebral macrovascular flow dynamics, there is no standardized tool integrated into the current neurosonography protocol that allows cerebral microvascular flow assessment. The evaluation of anatomic and functional changes in cerebral microvessels is important, as microvascular alterations have been shown to precede macrovascular and tissue injury in a variety of neurologic diseases of infancy. In this regard, the cerebral microvascular imaging technique is a commercially available, advanced Doppler technique in which slow flow of cerebral microvessels can be detected via a static noise suppression algorithm. This article therefore shares the basic scan technique and clinical examples of the integrated use of microvascular imaging in neurosonography for infants, setting the stage for future clinical integration of the technique.

Personalization in digital health interventions for older adults with cancer: A scoping review.

INTRODUCTION: Digital health interventions (DHIs) are promising to support older adults with cancer in managing their conditions and improving their health outcomes. However, there is a lack of overall understanding of various DHIs for the aging population with cancer. Specifically, it is unclear how personalization components are included in those DHIs to promote engagement in the interventions among older adults with cancer. This study aimed to provide a comprehensive overview of existing DHIs for older adults with cancer and identify the intervention components, especially personalized features, and effectiveness of these DHIs for improving self-management and psychosocial health. MATERIALS AND METHODS: A scoping review was conducted following Joanna Briggs Institute guidelines, focusing on older adults diagnosed with cancer who participated in DHIs to improve self-management and psychosocial health. Studies using an experimental design and published from 2000 to January 2023 were retrieved from four databases: PubMed, Embase, CINAHL, and Scopus. After primary data extraction of study characteristics, participants, interventions, and outcomes, DHIs were categorized according to personalized features. RESULTS: Out of 9,750 articles, 20 were eligible for this scoping review. The main personalized features of DHIs were categorized into four domains: goal setting, adjusting the plan, data-driven approaches, and motivating behavioral changes. Self-management outcomes were focused on physical activity, diet, and symptom management. Quality of life, depression, and anxiety were addressed as psychosocial health-related outcomes. Although no consistent results were reported on the effectiveness, DHIs with a combination of multiple personalized features, more than three domains, were likely to be more effective in improving self-management outcomes. DISCUSSION: This review enhances the understanding of personalized DHIs for older adults with cancer by identifying intervention components, personalized features, and effectiveness on self-management and psychosocial health. Several gaps were identified, including the absence of targeted studies exclusively focusing on older adults, a relative scarcity of personalized features for improving patient engagement, a lack of understanding of the mechanism of effective personalized features, and the necessity for more experimental studies. Addressing these gaps can contribute to improving health outcomes and the quality of care for older adults with cancer by providing the direction for developing effective DHIs.

A Template for Translational Bioinformatics: Facilitating Multimodal Data Analyses in Preclinical Models of Neurological Injury.

Background: Pediatric neurological injury and disease is a critical public health issue due to increasing rates of survival from primary injuries (e.g., cardiac arrest, traumatic brain injury) and a lack of monitoring technologies and therapeutics for the treatment of secondary neurological injury. Translational, preclinical research facilitates the development of solutions to address this growing issue but is hindered by a lack of available data frameworks and standards for the management, processing, and analysis of multimodal data sets. Methods: Here, we present a generalizable data framework that was implemented for large animal research at the Children's Hospital of Philadelphia to address this technological gap. The presented framework culminates in an interactive dashboard for exploratory analysis and filtered data set download. Results: Compared with existing clinical and preclinical data management solutions, the presented framework accommodates heterogeneous data types (single measure, repeated measures, time series, and imaging), integrates data sets across various experimental models, and facilitates dynamic visualization of integrated data sets. We present a use case of this framework for predictive model development for intra-arrest prediction of cardiopulmonary resuscitation outcome. Conclusions: The described preclinical data framework may serve as a template to aid in data management efforts in other translational research labs that generate heterogeneous data sets and require a dynamic platform that can easily evolve alongside their research.

Brain Targeted Xenon Protects Cerebral Vasculature After Traumatic Brain Injury.

Abstract Cerebrovascular dysfunction following traumatic brain injury (TBI) is a well-characterized phenomenon. Given the therapeutic potential of xenon, we aimed to study its effects after localized delivery to the brain using microbubbles. We designed xenon-containing microbubbles stabilized by dibehenoylphosphatidylcholine (DBPC) and polyethylene glycol (PEG) attached to saturated phospholipid (DPSE-PEG5000). Using a pig model of TBI, these microbubbles were intravenously injected, and ultrasound was used to release xenon at the level of the carotid artery. The control group received perfluorobutane containing microbubbles. Diffusion tensor imaging (DTI) showed areas of higher fractional anisotropy for pigs receiving xenon microbubbles compared to the control group at 1 day after injury. Radial diffusivity analysis showed that this effect was mainly the result of acute edema. Pigs were euthanized at 5 days, and the brain tissues of xenon-treated animals showed reduction of perivascular inflammation and blood-brain barrier disruption. Endothelial cell culture experiments showed that glutamate reduces tight junction protein zona occludens-1 (ZO-1), but treatment with xenon microbubbles attenuates this effect. Xenon treatment protects cerebrovasculature and reduces astroglial reactivity after TBI. Further, these data support the future use of localized delivery of various therapeutic agents for brain injury using microbubbles in order to limit systemic side effects and reduce costs.

The effect of nurse-led digital health interventions on blood pressure control for people with hypertension: A systematic review and meta-analysis.

PURPOSE: Nurse-led digital health interventions (DHIs) for people with chronic disease are increasing. However, the effect of nurse-led DHIs on blood pressure control and hypertension self-management remains unclear. This study aimed to identify the characteristics of nurse-led DHIs for people with hypertension and compared the effect size of nurse-led DHIs with that of usual care to establish evidence for the development of effective nursing interventions using technologies. DESIGN: Systematic review and meta-analysis. METHODS: This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews of Intervention (PRISMA) guidelines and registered the protocol in PROSPERO. Studies published from 2000 to August 5, 2021, were searched using the international databases: PubMed; Embase; Cochrane Central Register of Controlled Trials; Web of Science; CINAHL; Korean databases: RISS, KISS, KMBASE; and NDSL. Risk of bias 2.0 was used for evaluating the quality of studies. The primary outcome was blood pressure control. The secondary outcomes were self-management, medication adherence, and diet adherence. Publication bias was assessed using the funnel plot and Egger's regression tests. FINDINGS: The systematic review included 26 studies. A meta-analysis of 21 studies was conducted to calculate the effect size and identify heterogeneity among the included studies. In our meta-analysis, we observed that nurse-led DHIs reduced systolic blood pressure by 6.49 mmHg (95% confidence interval [CI]: -8.52 to -4.46, I2  = 75.4%, p < 0.05) and diastolic blood pressure by 3.30 mmHg (95% CI: -4.58 to -2.01, I2  = 70.3%, p < 0.05) when compared with usual care. Concerning secondary outcomes, the effect size on self-management, medication adherence, and diet adherence was 0.98 (95% CI: 0.58 to 1.37, I2  = 63.2%, p < 0.05), 1.05 (95% CI: 0.41 to 1.69, I2  = 92.5%, p < 0.05), and 0.80 (95% CI: 0.17 to 1.42, I2  = 80.5%, p < 0.05), respectively. CONCLUSION: Nurse-led DHIs were more effective in reducing blood pressure and enhancing self-management than usual care among people with hypertension. Therefore, as new technologies are being rapidly developed and applied in healthcare systems, further studies and policy support are needed to utilize the latest digital innovations with nursing interventions. CLINICAL RELEVANCE: This study could be used to identify that nurse-led interventions may take advantage of real-time communication by employing digital technologies for improving blood control and self-management behaviors such as medication adherence and diet adherence. Using nurse-led DHIs allows nurses to provide patient-centered interventions such as reflecting on patients' needs and shared decision-making without space constraints and limited treatment time.

Advanced Neuromonitoring Modalities on the Horizon: Detection and Management of Acute Brain Injury in Children.

Timely detection and monitoring of acute brain injury in children is essential to mitigate causes of injury and prevent secondary insults. Increasing survival in critically ill children has emphasized the importance of neuroprotective management strategies for long-term quality of life. In emergent and critical care settings, traditional neuroimaging modalities, such as computed tomography and magnetic resonance imaging (MRI), remain frontline diagnostic techniques to detect acute brain injury. Although detection of structural and anatomical abnormalities remains crucial, advanced MRI sequences assessing functional alterations in cerebral physiology provide unique diagnostic utility. Head ultrasound has emerged as a portable neuroimaging modality for point-of-care diagnosis via assessments of anatomical and perfusion abnormalities. Application of electroencephalography and near-infrared spectroscopy provides the opportunity for real-time detection and goal-directed management of neurological abnormalities at the bedside. In this review, we describe recent technological advancements in these neurodiagnostic modalities and elaborate on their current and potential utility in the detection and management of acute brain injury.

Evaluation of the Cerebrospinal Fluid Flow Dynamics with Microvascular Imaging Ultrasound in Infants.

PURPOSE: Microvascular imaging ultrasound (MVI) can detect slow blood flow in small-caliber cerebral vessels. This technology may help assess flow in other intracranial structures, such as the ventricular system. In this study, we describe the use of MVI for characterizing intraventricular cerebrospinal fluid (CSF) flow dynamics in infants. MATERIALS AND METHODS: We included infants with brain ultrasound that had MVI B-Flow cine clips in the sagittal plane. Two blinded reviewers examined the images, dictated a diagnostic impression, and identified the third ventricle, cerebral aqueduct, fourth ventricle, and CSF flow direction. A third reviewer evaluated the discrepancies. We evaluated the association of visualization of CSF flow as detectable with MVI, with the diagnostic impressions. We also assessed the inter-rater reliability (IRR) for detecting CSF flow. RESULTS: We evaluated 101 infants, mean age 40 ± 53 days. Based on brain MVI B-Flow, a total of 49 patients had normal brain US scans, 40 had hydrocephalus, 26 had intraventricular hemorrhage (IVH), and 14 had hydrocephalus+IVH. Using spatially moving MVI signal in the third ventricle, cerebral aqueduct, and fourth ventricle as the criteria for CSF flow, CSF flow was identified in 10.9% (n = 11), 15.8% (n = 16), and 16.8% (n = 17) of cases, respectively. Flow direction was detected in 19.8% (n = 20) of cases; 70% (n = 14) was caudocranial, 15% (n = 3) was craniocaudal, and 15% (n = 3) bidirectional, with IRR = 0.662, p < 0.001. Visualization of CSF flow was significantly associated with the presence of IVH alone (OR 9.7 [3.3-29.0], p < 0.001) and IVH+hydrocephalus (OR 12.4 [3.5-440], p < 0.001), but not with hydrocephalus alone (p = 0.116). CONCLUSION: This study demonstrates that MVI can detect CSF flow dynamics in infants with a history of post-hemorrhagic hydrocephalus with a high IRR.

A concise guide to transtemporal contrast-enhanced ultrasound in children.

Brain contrast-enhanced ultrasound offers insights into the brain beyond the anatomic information offered by conventional grayscale ultrasound. In infants, the open fontanelles serve as acoustic windows. In children, whose fontanelles are closed, the temporal bone serves as the ideal acoustic window due to its relatively smaller thickness than the other skull bones. Diagnosis of common neurologic diseases such as stroke, hemorrhage, and hydrocephalus has been performed using the technique. Transtemporal ultrasound and contrast-enhanced ultrasound, however, are rarely used in children due to the prevalent notion that the limited acoustic penetrance degrades diagnostic quality. This review seeks to provide guidelines for the use of transtemporal brain contrast-enhanced ultrasound in children.

Ultrasound-Estimated Bladder Weight Correlates With Videourodynamic Studies in Neurogenic Bladder Dysfunction.

PURPOSE: This retrospective study was designed to evaluate which lower urinary tract ultrasound parameter(s) could predict the results of invasive urodynamic testing which are the current reference standard in the evaluation of bladder dysfunction in children with spina bifida. MATERIALS AND METHODS: Fifty eight children with spina bifida undergoing video urodynamic evaluation and a renal bladder ultrasound as their standard of care were evaluated. Quantitative and qualitative ultrasound parameters were then correlated with the videourodynamic study results which served as the reference standard. RESULTS: For bladders with ending storage pressures above 15 cm H2 O, there were increases in these ultrasound measured parameters: 1) bladder mass (P = .00019), 2) bladder/body mass ratio (P = .0059), and 3) wall thickness (P = .01). We defined the storage cost as the final storage pressure divided by the percentage of expected bladder capacity attained. These data were analyzed to compute receiver operating curves with assuming end storage pressures cutoff points of 15, 20, 30, and 40 cm H2 O. The optimal area under the curve was found for a bladder weight of 65 g and a pressure cutoff of 30 cm H2 O with a sensitivity of 75% with a specificity of 84%. CONCLUSION: Bladder weight is independent of luminal volume, can be normalized to body weight, and may serve as a clinically valuable tool for noninvasive screening to define a subset of patients with neurogenic bladder with a higher likelihood of having abnormal videourodynamic results.