Background: Skeletal dysplasias collectively affect a large number of patients worldwide. Most of these disorders cause growth anomalies. Hence, evaluating skeletal maturity via the determination of bone age (BA) is a useful tool. Moreover, consecutive BA measurements are crucial for monitoring the growth of patients with such disorders, especially for timing hormonal treatment or orthopedic interventions. However, manual BA assessment is time-consuming and suffers from high intra- and inter-rater variability. This is further exacerbated by genetic disorders causing severe skeletal malformations. While numerous approaches to automate BA assessment have been proposed, few are validated for BA assessment on children with skeletal dysplasias. Objective: We present Deeplasia, an open-source prior-free deep-learning approach designed for BA assessment specifically validated on patients with skeletal dysplasias. Materials and methods: We trained multiple convolutional neural network models under various conditions and selected three to build a precise model ensemble. We utilized the public BA dataset from the Radiological Society of North America (RSNA) consisting of training, validation, and test subsets containing 12,611, 1,425, and 200 hand and wrist radiographs, respectively. For testing the performance of our model ensemble on dysplastic hands, we retrospectively collected 568 radiographs from 189 patients with molecularly confirmed diagnoses of seven different genetic bone disorders including achondroplasia and hypochondroplasia. A subset of the dysplastic cohort (149 images) was used to estimate the test–retest precision of our model ensemble on longitudinal data. Results: The mean absolute difference of Deeplasia for the RSNA test set (based on the average of six different reference ratings) and dysplastic set (based on the average of two different reference ratings) were 3.87 and 5.84 months, respectively. The test–retest precision of Deeplasia on longitudinal data (2.74 months) is estimated to be similar to a human expert. Conclusion: We demonstrated that Deeplasia is competent in assessing the age and monitoring the development of both normal and dysplastic bones. Graphical

Background: PTEN Hamartoma Tumor Syndrome (PHTS) is caused by germline autosomal-dominant mutations of the tumor suppressor gene PTEN. Subjects harbour an increased risk for tumor development, with thyroid carcinoma occurring in young children. Establishing a diagnosis is challenging, since not all children fulfill diagnostic criteria established for adults. Macrocephaly is a common feature in childhood, with cerebral MRI being part of its diagnostic workup. We asked whether distinct cMRI features might facilitate an earlier diagnosis. Methods: We retrospectively studied radiological and clinical data of pediatric patients who were presented in our hospital between 2013 and 2019 in whom PTEN gene mutations were identified. Results: We included 27 pediatric patients (18 male) in the analysis. All patients were macrocephalic. Of these, 19 patients had received at least one cMRI scan. In 18 subjects variations were detected: enlarged perivascular spaces (EPVS; in 18), white matter abnormalities (in seven) and less frequently additional pathologies. Intellectual ability was variable. Most patients exhibited developmental delay in motor skills, but normal intelligence. Conclusion: cMRI elucidates EPVS and white matter abnormalities in a high prevalence in children with PHTS and might therefore aid as a diagnostic feature to establish an earlier diagnosis of PHTS in childhood.

Nephrotic syndrome (NS) is one of the most frequent occurring chronic kidney diseases in childhood, despite its rarely occurrence in the general population. Detailed information about clinical data of NS (e.g. average length of stay, complications) as well as of secondary nephrotic syndrome (SNS) is not well known. A nationwide ESPED follow-up study presenting the clinical course and management of children with NS in Germany. In course of 2 years, 347 children developed the first onset of NS, hereof 326 patients (93.9%) had a primary NS, and 19 patients had a SNS (missing data in 2 cases), the majority due to a Henoch-Schönlein Purpura. Patients with steroid-resistant NS (SRNS) stayed significantly longer in hospital than children with steroid-sensitive NS (25.2 vs. 13.3 d, p < 0.001). Patients with bacterial/viral infections stayed longer in hospital (24.9 d/19.5d) than children without an infection (14.2 d/14.9 d; p < 0.001; p = 0.016). Additionally, children with urinary tract infections (UTI) (p < 0,001), arterial hypertension (AH) (p < 0.001) and acute renal failure (ARF) (p < 0,001) stayed significantly longer in hospital. Patients with SRNS had frequent complications (p = 0.004), such as bacterial infections (p = 0.013), AH (p < 0.001), UTI (p < 0.001) and ARF (p = 0.007). Children with a focal segmental glomerulosclerosis (FSGS) had significantly more complications (p = 0.04); specifically bacterial infections (p = 0.01), UTI (p = 0.003) and AH (p < 0,001). Steroid-resistance was more common in patients with UTI (p < 0.001) and in patients with ARF (p = 0.007). Furthermore, steroid-resistance (p < 0.001) and FSGS (p < 0.001) were more common in patients with AH. This nationwide, largest German study presents results on the clinical course of children with NS considering a diverse range of complications that can occur with NS. The establishment of a region-wide and international pediatric NS register would be useful to conduct further diagnostic and therapy studies with the aim to reduce the complication rate and to improve the prognosis of NS, and to compare the data with international cohorts.

Aim Development of a fully evidence-based guideline including all aspects of child abuse. Methods In a case-based procedure, 144 primary PICO questions were generated from 476 presented cases of child abuse. Literature research was performed in 5 databases (Pubmed, CINHAL, Embase, PsycInfo, Eric) and in the Cochrane Library. The literature was evaluated according to SIGN and AGREE II. Results 137 recommendations were developed. Those related to imaging procedures are presented and discussed in this article. Conclusion The first fully evidence-based German guideline concerning all aspects of child abuse has been established. For imaging, several relevant new approaches have been proposed. Key Points: Citation Format

Objectives: This study aimed to analyse the clinical course of 45 children with severe alpha-1-antitrypsin deficiency (AATD) registered in our clinic to detect possible predictors of poor outcomes. Methods: The clinical and biological data of 45 patients with homozygous or compound heterozygous AATD were analysed. The data were collected retrospectively going back to 2005 and prospectively from May 2020 until October 2021. It was based on questionnaires, laboratory values, sonography, and biopsy findings. Liver disease was classified into four grades depending on the grade of liver disease: mild or no liver disease, moderate disease, severe disease, and liver transplantation. Results: Thirty-nine patients (86.7%) had a Pi*ZZ and five (11.1%) a Pi*SZ genotype. One patient showed a new, not-yet-described compound heterozygous genotype (Pi*Z + Asp95Asn). A total of 66.7% of the cohort showed mild or no liver disease, 20% moderate, and 13.3% severe. AATD was diagnosed in most cases because of liver abnormalities, such as the elevation of transaminases (42.2%). A total of 29.4% of the patients with neonatal icterus prolongatus developed severe liver disease, and 25.7% were born small for their gestational age (SGA). Diseases of the atopic type were reported in 47.4% of the cases. Conclusions: The presence of neonatal icterus prolongatus in the first weeks of life was significantly more likely in severe courses of liver disease (r = 0.371, p = 0.012). A tendency toward atopic comorbidity in AAT-deficient children needs to be further evaluated.