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Magnetic resonance imaging (MRI) has emerged as the preferred imaging modality for evaluating a wide range of pediatric medical conditions. Nevertheless, the long acquisition times associated with this technique can limit its widespread use in young children, resulting in motion-degraded or non-diagnostic studies. As a result, sedation or general anesthesia is often necessary to obtain diagnostic images, which has implications for the safety profile of MRI, the cost of the exam and the radiology department's clinical workflow. Over the last decade, several techniques have been developed to increase the speed of MRI, including parallel imaging, single-shot acquisition, controlled aliasing techniques, compressed sensing and artificial-intelligence-based reconstructions. These are advantageous because shorter examinations decrease the need for sedation and the severity of motion artifacts, increase scanner throughput, and improve system efficiency. In this review we discuss a framework for image acceleration in children that includes the synergistic use of state-of-the-art MRI hardware and optimized pulse sequences. The discussion is framed within the context of pediatric radiology and incorporates the authors' experience in deploying these techniques in routine clinical practice. [ABSTRACT FROM AUTHOR]

Rationale and Objective: The COVID-19 pandemic has caused unprecedented changes in radiology practice worldwide. There is a need for a framework of pediatric radiology resource allocation for future acute resource-limited settings.The aim of this study is to quantify and analyze changes in pediatric radiology practice during the COVID-19 pandemic considering demographic and clinical characteristics.Materials and Methods: We retrospectively searched our institution's electronic health record for pediatric imaging exams from 09/15/19 to 05/01/20, with 03/15/20 as the dividing date between baseline and pandemic periods. Age, modality, exam indication, need for anesthesia/sedation, and exam completion or cancellation were recorded. All exams were compared between baseline and pandemic periods using a chi-square test and a logistic regression multivariate analysis.Results: 15,424 exams were included for analysis [13,715 baseline period (mean age 10±5 years; 7440 males); 1047 COVID-19 period (mean age 9±5 years; 565 males)]. A statistically significantly lower proportion of adolescent exams (45.5% vs 53.3%), radiography modality (62.4% vs 70.4%) and non-traumatic pain indication (39.1% vs 46.3%) was observed during the COVID-19 period. Conversely, we found a higher proportion of neonatal (5.8% vs 3.8%), infant (5.6% vs 4.1%) and early childhood patients (12.9% vs 9.8%), CT (7.4% vs 5.9%) and ultrasound modalities (18.3% vs 13.5%), oncologic (8.8% vs 6.5%) and congenital/development disorder indications (6% vs 3.9%), and studies performed under anesthesia (2.7% vs 1.3%). Regarding exam completion rates, the neonatal age group (OR 1.960 [95% CI 0.353 - 0.591]; p <0.020) and MRI modality (OR 1.502 [95% CI: 0.214 - 0.318]; p <0.049) had higher odds of completion during the COVID-19 pandemic, while fluoroscopy modality was associated with lower odds of completion (OR 0.524 [95% CI: 0.328 - 0.839]; p = 0.011).Conclusion: The composition and completion of pediatric radiology exams changed substantially during the COVID-19 pandemic. A sub-set of exams resilient to cancellation was identified. [ABSTRACT FROM AUTHOR]

Despite the well-established impact of sex and sex hormones on bone structure and density, there has been limited description of sexual dimorphism in the hand and wrist in the literature. We developed a deep convolutional neural network (CNN) model to predict sex based on hand radiographs of children and adults aged between 5 and 70 years. Of the 1531 radiographs tested, the algorithm predicted sex correctly in 95.9% (κ = 0.92) of the cases. Two human radiologists achieved 58% (κ = 0.15) and 46% (κ = − 0.07) accuracy. The class activation maps (CAM) showed that the model mostly focused on the 2nd and 3rd metacarpal base or thumb sesamoid in women, and distal radioulnar joint, distal radial physis and epiphysis, or 3rd metacarpophalangeal joint in men. The radiologists reviewed 70 cases (35 females and 35 males) labeled with sex along with heat maps generated by CAM, but they could not find any patterns that distinguish the two sexes. A small sample of patients (n = 44) with sexual developmental disorders or transgender identity was selected for a preliminary exploration of application of the model. The model prediction agreed with phenotypic sex in only 77.8% (κ = 0.54) of these cases. To the best of our knowledge, this is the first study that demonstrated a machine learning model to perform a task in which human experts could not fulfill. [ABSTRACT FROM AUTHOR]

Background: Analysis of safety reports has been utilized to guide practice improvement efforts in adult magnetic resonance imaging (MRI). Data specific to pediatric MRI could help target areas of improvement in this population.Objective: To estimate the incidence of safety reports in pediatric MRI and to determine associated risk factors.Materials and Methods: In a retrospective HIPAA-compliant, institutional review board-approved study, a single-institution Radiology Information System was queried to identify MRI studies performed in pediatric patients (0-18 years old) from 1/1/2010 to 12/31/2015. The safety report database was queried for events matching the same demographic and dates. Data on patient age, gender, location (inpatient, outpatient, emergency room [ER]), and the use of sedation/general anesthesia were recorded. Safety reports were grouped into categories based on the cause and their severity. Descriptive statistics were used to summarize continuous variables. Chi-square analyses were performed for univariate determination of statistical significance of variables associated with safety report rates. A multivariate logistic regression was used to control for possible confounding effects.Results: A total of 16,749 pediatric MRI studies and 88 safety reports were analyzed, yielding a rate of 0.52%. There were significant differences in the rate of safety reports between patients younger than 6 years (0.89%) and those older (0.41%) (P<0.01), sedated (0.8%) and awake children (0.45%) (P<0.01), and inpatients (1.1%) and outpatients (0.4%) (P<0.01). The use of sedation/general anesthesia is an independent risk factor for a safety report (P=0.02). The most common causes for safety reports were service coordination (34%), drug reactions (19%), and diagnostic test and ordering errors (11%).Conclusion: The overall rate of safety reports in pediatric MRI is 0.52%. Interventions should focus on vulnerable populations, such as younger patients, those requiring sedation, and those in need of acute medical attention. [ABSTRACT FROM AUTHOR]