Age-Dependent White Matter Characteristics of the Cerebellar Peduncles from Infancy Through Adolescence.

Cerebellum-cerebrum connections are essential for many motor and cognitive functions and cerebellar disorders are prevalent in childhood. The middle (MCP), inferior (ICP), and superior cerebellar peduncles (SCP) are the major white matter pathways that permit communication between the cerebellum and the cerebrum. Knowledge about the microstructural properties of these cerebellar peduncles across childhood is limited. Here, we report on a diffusion magnetic resonance imaging tractography study to describe age-dependent characteristics of the cerebellar peduncles in a cross-sectional sample of infants, children, and adolescents from newborn to 17 years of age (N = 113). Scans were collected as part of clinical care; participants were restricted to those whose scans showed no abnormal findings and whose history and exam had no risk factors for cerebellar abnormalities. A novel automated tractography protocol was applied. Results showed that mean tract-FA increased, while mean tract-MD decreased from infancy to adolescence in all peduncles. Rapid changes were observed in both diffusion measures in the first 24 months of life, followed by gradual change at older ages. The shape of the tract profiles was similar across ages for all peduncles. These data are the first to characterize the variability of diffusion properties both across and within cerebellar white matter pathways that occur from birth through later adolescence. The data represent a rich normative data set against which white matter alterations seen in children with posterior fossa conditions can be compared. Ultimately, the data will facilitate the identification of sensitive biomarkers of cerebellar abnormalities.

Outcomes From a Nurse Practitioner Led Dynamic Compression System Bracing Program for Pectus Carinatum.

BACKGROUND: Dynamic compression system (DCS) is often effective at treating pectus carinatum (PC). However, some patients will fail therapy. This study reports outcomes from a nurse-practitioner led bracing program, and evaluates what factors are predictive of successful therapy. METHODS: We performed a retrospective cohort study involving all patients treated with DCS bracing at our institution between February 2018 and February 2022. Patients with at least three visits were included. The primary outcome was achieving neutral chest. Factors considered potentially predictive included patient age, sex, initial pressure of correction (PIC), and the change in pressure of correction between the first two visits (deltaPC1). A Cox proportional hazards model was used for analysis, and Kaplan-Meier analyses estimated the median time to correction. RESULTS: 283 patients were evaluated. The median age was 14 (IQR 12-15), the majority were male (90.1 %) and white (92.6 %). The median PIC and deltaPC1was 4.13 PSI (IQR 3.17-5.3), and 1.34 PSI (IQR 0.54-2.25), respectively. 117 patients achieved correction. The median estimated time to correction was 7.5 months (95 % CI 5.9-10.1). In the final Cox model, greater deltaPC1 was associated with increased risk of correction (HR: 2.46; 95 % CI 2.03-2.98), and increased PIC was associated with decreased risk of correction up to one year of therapy (0-3 months HR 0.62, 95 % CI 0.50-0.78; 3-12 months HR 0.62; 95 % CI 0.45-0.85). CONCLUSIONS: DCS bracing administered by advanced care providers in collaboration with surgeons can effectively treat PC. The deltaPC1 and PIC are the factors most predictive of successful therapy. LEVEL OF EVIDENCE: Level III.

Modeling of the chest wall response to prolonged bracing in pectus carinatum.

Pectus carinatum is a chest wall deformity that is often treated through the wearing of an external brace. The treatment of the deformity could benefit from a greater understanding of chest wall characteristics under prolonged loading. These characteristics are difficult to model directly but empirical studies can be used to create statistical models. 185 patients from 2018-2020 received bracing treatment. Data on the severity of the deformity, treatment pressures, and time of wear were recorded at the first fitting and all subsequent follow-up visits. This data was analyzed using a statistical mixed effects model to identify significant measures and trends in treatment. These models were designed to help quantify changes in chest wall characteristics through prolonged bracing. Two statistical models were created. The first model predicts the change in the amount of pressure to correct the deformity after bracing for a given time and pressure. The second model predicts the change in pressure response by the body on the brace after bracing for a given time and pressure. These models show a high significance in the amount of pressure and time to the changes in the chest wall response. Initial deformity severity is also significant in changes to the deformity. The statistical models predict general trends in pectus carinatum brace treatment and can assist in creating treatment plans, motivating patient compliance, and can inform the design of future treatment systems.

Early Onset Diffusion Abnormalities in Refractory Headache Disorders.

Objective: This study sought to determine if individuals with medically refractory migraine headache have volume or diffusion abnormalities on neuroimaging compared to neurotypical individuals. Background: Neuroimaging biomarkers in headache medicine continue to be limited. Early prediction of medically refractory headache and migraine disorders could result in earlier administration of high efficacy therapeutics. Methods: A single-center, retrospective, case control study was performed. All patients were evaluated clinically between 2014 and 2018. Individuals with medically refractory migraine headache (defined by ICDH-3 criteria) without any other chronic medical diseases were enrolled. Patients had to have failed more than two therapeutics and aura was not exclusionary. The initial MRI study for each patient was reviewed. Multiple brain regions were analyzed for volume and apparent diffusion coefficient values. These were compared to 81 neurotypical control patients. Results: A total of 79 patients with medically refractory migraine headache were included and compared to 74 neurotypical controls without headache disorders. Time between clinical diagnosis and neuroimaging was a median of 24 months (IQR: 12.0-37.0). Comparison of individuals with medically refractory migraine headache to controls revealed statistically significant differences in median apparent diffusion coefficient (ADC) in multiple brain subregions (p < 0.001). Post-hoc pair-wise analysis comparing individuals with medically refractory migraine headache to control patients revealed significantly decreased median ADC values for the thalamus, caudate, putamen, pallidum, amygdala, brainstem, and cerebral white matter. No volumetric differences were observed between groups. Conclusions: In individuals with medically refractory MH, ADC changes are measurable in multiple brain structures at an early age, prior to the failure of multiple pharmacologic interventions and the diagnosis of medically refractory MH. This data supports the hypothesis that structural connectivity issues may predispose some patients toward more medically refractory pain disorders such as MH.

Design and implementation of a novel patient-centered empowerment approach for pain optimisation in children undergoing major surgery.

BACKGROUND: Paediatric surgery is a stressful experience for patients and caregivers. While standardised protocols are the norm, patient-centred approaches are needed to empower patients/caregivers for an optimal perioperative pain experience. To address this gap, we employed a patient-centred approach using design thinking (DT) methodology to develop insights, map processes, identify opportunities and design solutions for individualised empowerment tools. METHODS: In consultation with DT experts, a multidisciplinary team of stakeholders (healthcare providers, patients who underwent pectus excavatum/scoliosis surgery and their caregivers), were invited to participate in surveys, interviews and focus groups. The project was conducted in two sequential stages each over 24 weeks-involving 7 families in stage 1 and 16 patients/17 caregivers in stage 2. Each stage consisted of three phases: design research (focus groups with key stakeholders to review and apply collective learnings, map processes, stressors, identify influencing factors and opportunities), concept ideation (benchmarking and co-creation of new solutions) and concept refinement. RESULTS: In stage 1, mapping of stress/anxiety peaks identified target intervention times. We identified positive and negative influencers as well as the need for consistent messaging from the healthcare team in our design research. Current educational tools were benchmarked, parent-child engagement dyads determined and healthcare-based technology-based solutions conceived. The 'hero's journey' concept which has been applied to other illness paradigms for motivation successfully the was adapted to describe surgery as a transformative experience. In stage 2, patient and caregiver expectations, distinct personas and responses to perioperative experience were categorised. Educational tools and an empowerment tool kit based on sensorial, thinking, relaxation and activity themes, tailored to parent/child categories were conceptualised. CONCLUSION: DT methodology provided novel family centred insights, enabling design of tailored empowerment toolkits to optimise perioperative experience. Adapting the hero's journey call to adventure may motivate and build resilience among children undergoing surgery.

Attention-guided deep learning for gestational age prediction using fetal brain MRI.

Magnetic resonance imaging offers unrivaled visualization of the fetal brain, forming the basis for establishing age-specific morphologic milestones. However, gauging age-appropriate neural development remains a difficult task due to the constantly changing appearance of the fetal brain, variable image quality, and frequent motion artifacts. Here we present an end-to-end, attention-guided deep learning model that predicts gestational age with R2 score of 0.945, mean absolute error of 6.7 days, and concordance correlation coefficient of 0.970. The convolutional neural network was trained on a heterogeneous dataset of 741 developmentally normal fetal brain images ranging from 19 to 39 weeks in gestational age. We also demonstrate model performance and generalizability using independent datasets from four academic institutions across the U.S. and Turkey with R2 scores of 0.81-0.90 after minimal fine-tuning. The proposed regression algorithm provides an automated machine-enabled tool with the potential to better characterize in utero neurodevelopment and guide real-time gestational age estimation after the first trimester.

Effects of Age on White Matter Microstructure in Children With Neurofibromatosis Type 1.

Children with neurofibromatosis type 1 (NF1) often report cognitive challenges, though the etiology of such remains an area of active investigation. With the advent of treatments that may affect white matter microstructure, understanding the effects of age on white matter aberrancies in NF1 becomes crucial in determining the timing of such therapeutic interventions. A cross-sectional study was performed with diffusion tensor imaging from 18 NF1 children and 26 age-matched controls. Fractional anisotropy was determined by region of interest analyses for both groups over the corpus callosum, cingulate, and bilateral frontal and temporal white matter regions. Two-way analyses of variance were done with both ages combined and age-stratified into early childhood, middle childhood, and adolescence. Significant differences in fractional anisotropy between NF1 and controls were seen in the corpus callosum and frontal white matter regions when ages were combined. When stratified by age, we found that this difference was largely driven by the early childhood (1-5.9 years) and middle childhood (6-11.9 years) age groups, whereas no significant differences were appreciable in the adolescence age group (12-18 years). This study demonstrates age-related effects on white matter microstructure disorganization in NF1, suggesting that the appropriate timing of therapeutic intervention may be in early childhood.

Standardization of clinical care pathway leads to sustained decreased length of stay following Nuss pectus repair: A multidisciplinary quality improvement initiative.

BACKGROUND AND PURPOSE: Postoperatively, standardized clinical care pathways (SCCPs) help patients reach necessary milestones for discharge. The objective of this study was to achieve 90% compliance with a pectus specific SCCP within 9 months of implementation. We hypothesized that adherence to a pectus SCCP following the Nuss procedure would decrease postsurgical length of stay (LOS). METHODS: A multidisciplinary team implemented the pectus SCCP, including goals for mobility, lung recruitment, pain control, intake, and output. The full protocol included 42 components, tracked using chart reviews and a patient-directed checklist. The primary process measure was compliance with the pectus SCCP. The primary outcome measure was LOS; secondary outcomes were patient charges, patient satisfaction, and hospital readmission. RESULTS: Total study patients were n = 509: 159 patients pre-intervention, 350 patients post-intervention (80 implementation group; 270 sustain group). SCCP compliance data were collected on 164 patients post-intervention - 80 implementation, 84 sustain. LOS, ED visits, and hospital readmissions were recorded for all 509 patients. Mean LOS decreased from 4.5 days to 3.4 days, with >90% adherence to the pectus SCCP postintervention. There were no readmissions owing to pain despite earlier termination of epidural analgesia. Total patient charges decreased by 30% and patient satisfaction was high. CONCLUSION: Using quality improvement methodology with strict adherence to a pectus SCCP, we had significant reduction in LOS and patient charge without compromising effective postoperative pain management or patient satisfaction. TYPE OF STUDY: Clinical research; quality improvement. LEVEL OF EVIDENCE: V.

Association of Pediatric Acute-Onset Neuropsychiatric Syndrome With Microstructural Differences in Brain Regions Detected via Diffusion-Weighted Magnetic Resonance Imaging.

Importance: Epidemiological studies indicate a link between obsessive-compulsive disorder and infections, particularly streptococcal pharyngitis. Pediatric acute-onset neuropsychiatric syndrome (PANS) manifests suddenly with obsessions, compulsions, and other behavioral disturbances, often after an infectious trigger. The current working model suggests a unifying inflammatory process involving the central nervous system, particularly the basal ganglia. Objective: To investigate whether diffusion-weighted magnetic resonance imaging (DWI) detects microstructural abnormalities across the brain regions of children with PANS. Design, Setting, and Participants: Case-control study performed at a single-center, multidisciplinary clinic in the United States focusing on the evaluation and treatment of children with PANS. Sixty consecutive patients who underwent 3 Tesla (T) magnetic resonance imaging (MRI) before immunomodulation from September 3, 2012, to March 30, 2018, were retrospectively reviewed for study inclusion. Six patients were excluded by blinded investigators because of imaging or motion artifacts, 3 patients for major pathologies, and 17 patients for suboptimal atlas image registration. In total, 34 patients with PANS before initiation of treatment were compared with 64 pediatric control participants. Main Outcomes and Measures: Using atlas-based MRI analysis, regional brain volume, diffusion, and cerebral blood flow were measured in the cerebral white matter, cerebral cortex, thalamus, caudate, putamen, pallidum, hippocampus, amygdala, nucleus accumbens, and brainstem. An age and sex-controlled multivariable analysis of covariance was used to compare patients with control participants. Results: This study compared 34 patients with PANS (median age, 154 months; age range, 55-251 months; 17 girls and 17 boys) and 64 pediatric control participants (median age, 139 months; age range, 48-213 months); 41 girls and 23 boys). Multivariable analysis demonstrated a statistically significant difference in MRI parameters between patients with PANS and control participants (F21,74 = 6.91; P < .001; partial η2 = 0.662). All assessed brain regions had statistically significantly increased median diffusivity compared with 64 control participants. Specifically, the deep gray matter (eg, the thalamus, basal ganglia, and amygdala) demonstrated the most profound increases in diffusivity consistent with the cardinal clinical symptoms of obsessions, compulsions, emotional dysregulation, and sleep disturbances. No statistically significant differences were found regarding volume and cerebral blood flow. Conclusions and Relevance: This study identifies cerebral microstructural differences in children with PANS in multiple brain structures, including the deep gray matter structures (eg, the thalamus, basal ganglia, and amygdala). Further study of MRI is warranted in prospective, clinical trials as a potential quantitative method for assessing patients under evaluation for PANS.

Cerebral volume and diffusion MRI changes in children with sensorineural hearing loss.

PURPOSE: Sensorineural hearing loss (SNHL) is the most prevalent congenital sensory deficit in children. Information regarding underlying brain microstructure could offer insight into neural development in deaf children and potentially guide therapies that optimize language development. We sought to quantitatively evaluate MRI-based cerebral volume and gray matter microstructure children with SNHL. METHODS & MATERIALS: We conducted a retrospective study of children with SNHL who obtained brain MRI at 3 T. The study cohort comprised 63 children with congenital SNHL without known focal brain lesion or structural abnormality (33 males; mean age 5.3 years; age range 1 to 11.8 years) and 64 age-matched controls without neurological, developmental, or MRI-based brain macrostructure abnormality. An atlas-based analysis was used to extract quantitative volume and median diffusivity (ADC) in the following brain regions: cerebral cortex, thalamus, caudate, putamen, globus pallidus, hippocampus, amygdala, nucleus accumbens, brain stem, and cerebral white matter. SNHL patients were further stratified by severity scores and hearing loss etiology. RESULTS: Children with SNHL showed higher median ADC of the cortex (p = .019), thalamus (p < .001), caudate (p = .005), and brainstem (p = .003) and smaller brainstem volumes (p = .007) compared to controls. Patients with profound bilateral SNHL did not show any significant differences compared to patients with milder bilateral SNHL, but both cohorts independently had smaller brainstem volumes compared to controls. Children with unilateral SNHL showed greater amygdala volumes compared to controls (p = .021), but no differences were found comparing unilateral SNHL to bilateral SNHL. Based on etiology for SNHL, patients with Pendrin mutations showed higher ADC values in the brainstem (p = .029, respectively); patients with Connexin 26 showed higher ADC values in both the thalamus (p < .001) and brainstem (p < .001) compared to controls. CONCLUSION: SNHL patients showed significant differences in diffusion and volume in brain subregions, with region-specific findings for patients with Connexin 26 and Pendrin mutations. Future longitudinal studies could examine macro- and microstructure changes in children with SNHL over development and potential predictive role for MRI after interventions including cochlear implant outcome.

Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model.

Importance: Deep learning has the potential to augment clinician performance in medical imaging interpretation and reduce time to diagnosis through automated segmentation. Few studies to date have explored this topic. Objective: To develop and apply a neural network segmentation model (the HeadXNet model) capable of generating precise voxel-by-voxel predictions of intracranial aneurysms on head computed tomographic angiography (CTA) imaging to augment clinicians' intracranial aneurysm diagnostic performance. Design, Setting, and Participants: In this diagnostic study, a 3-dimensional convolutional neural network architecture was developed using a training set of 611 head CTA examinations to generate aneurysm segmentations. Segmentation outputs from this support model on a test set of 115 examinations were provided to clinicians. Between August 13, 2018, and October 4, 2018, 8 clinicians diagnosed the presence of aneurysm on the test set, both with and without model augmentation, in a crossover design using randomized order and a 14-day washout period. Head and neck examinations performed between January 3, 2003, and May 31, 2017, at a single academic medical center were used to train, validate, and test the model. Examinations positive for aneurysm had at least 1 clinically significant, nonruptured intracranial aneurysm. Examinations with hemorrhage, ruptured aneurysm, posttraumatic or infectious pseudoaneurysm, arteriovenous malformation, surgical clips, coils, catheters, or other surgical hardware were excluded. All other CTA examinations were considered controls. Main Outcomes and Measures: Sensitivity, specificity, accuracy, time, and interrater agreement were measured. Metrics for clinician performance with and without model augmentation were compared. Results: The data set contained 818 examinations from 662 unique patients with 328 CTA examinations (40.1%) containing at least 1 intracranial aneurysm and 490 examinations (59.9%) without intracranial aneurysms. The 8 clinicians reading the test set ranged in experience from 2 to 12 years. Augmenting clinicians with artificial intelligence-produced segmentation predictions resulted in clinicians achieving statistically significant improvements in sensitivity, accuracy, and interrater agreement when compared with no augmentation. The clinicians' mean sensitivity increased by 0.059 (95% CI, 0.028-0.091; adjusted P = .01), mean accuracy increased by 0.038 (95% CI, 0.014-0.062; adjusted P = .02), and mean interrater agreement (Fleiss κ) increased by 0.060, from 0.799 to 0.859 (adjusted P = .05). There was no statistically significant change in mean specificity (0.016; 95% CI, -0.010 to 0.041; adjusted P = .16) and time to diagnosis (5.71 seconds; 95% CI, 7.22-18.63 seconds; adjusted P = .19). Conclusions and Relevance: The deep learning model developed successfully detected clinically significant intracranial aneurysms on CTA. This suggests that integration of an artificial intelligence-assisted diagnostic model may augment clinician performance with dependable and accurate predictions and thereby optimize patient care.

Exposure to a maternal cafeteria diet changes open-field behaviour in the developing offspring.

The early postnatal period is a sensitive period in rodents as behavioural systems are developing and maturing during this time. However, little is currently known about the behavioural effects of feeding a hyper-energetic cafeteria diet (CD) during the lactational period when offspring behaviour is tested during early adolescence. To this end, 23days old offspring from dams (Wistar) fed on CD during lactation were tested in either the open-field or the elevated plus-maze for exploration and anxiety-related behaviour. On postnatal day 9, maternal behaviour and non-maternal behaviour of the dam was assessed. It was hypothesized that lactational CD feeding would reduce anxiety in the offspring. CD-fed dams had a higher energy intake, due to an overconsumption of sugars and fats. When offspring from these dams were exposed to the open field after weaning, their locomotor activity was increased. They entered the more aversive inner zone of the open-field after a shorter latency, made more entries into and spent more time in the inner zone. Anxiety-related behaviour was not affected upon exposure to the elevated plus maze, suggesting anxiolysis in the open-field only. Increased maternal licking/grooming behaviour could possibly contribute to the anxiolytic phenotype as observed in the offspring from the CD group. In conclusion, we demonstrate that lactational overfeeding impacts on the development of behaviour in the early adolescent rat.

Quality Initiative to Introduce Pediatric Venous Thromboembolism Risk Assessment for Orthopedic and Surgery Patients.

BACKGROUND AND OBJECTIVES: Pediatric hospital-acquired venous thromboembolism (VTE) is costly, has high morbidity, and is often preventable. The objective of this quality-improvement effort was to increase the percentage of general surgery and orthopedic patients ≥10 years of age screened for VTE risk from 0% to 80%. METHODS: At a freestanding children's hospital, 2 teams worked to implement VTE risk screening for postoperative inpatients. The general surgery team used residents and nurse practitioners to perform screening whereas the orthopedic team initially used bedside nursing staff. Both groups employed multiple small tests of change. Shared key interventions included refinement of a screening tool, provider education, mitigation of failures, and embedding the risk assessment task into staff workflow. The primary outcome measure, the percentage of eligible patients with a completed VTE risk assessment, was plotted on run charts. Secondary outcome measures for screened patients included the level of risk, the use of appropriate prophylaxis, and VTE events. RESULTS: Median weekly percentage of general surgery patients screened for VTE risk increased from 0% to 86% within 12 months, and median weekly percentage of orthopedic patients screened for VTE risk increased from 0% to 46% within 8 months. Among screened patients, the majority were at low or moderate risk for VTE and received prophylaxis in accordance with or beyond guideline recommendations. No screened patients developed VTE. CONCLUSIONS: Quality-improvement methods were used to implement a VTE risk screening process for postoperative patients. Using providers as screeners, as opposed to bedside nurses, led to a greater percentage of patients screened.