Pediatric Radiology Research Articles

Characterizing continuous positive airway pressure (CPAP) Belly Syndrome in preterm infants in the neonatal intensive care unit (NICU).

Reproducibly define CPAP Belly Syndrome (CBS) in preterm infants and describe associated demographics, mechanical factors, and outcomes. A retrospective case-control study was conducted in infants <32 weeks gestation in the Stanford Children's NICU from January 1, 2020 to December 31, 2021. CBS was radiographically defined by a pediatric radiologist. Data analysis included descriptive statistics and comparator tests. Analysis included 41 infants with CBS and 69 infants without. CBS was associated with younger gestational age (median 27.7 vs 30 weeks, p < 0.001) and lower birthweight (median 1.00 vs 1.31 kg, p < 0.001). Infants with CBS were more likely to receive bilevel respiratory support and higher positive end expiratory pressure. Infants with CBS took longer to advance enteral feeds (median 10 vs 7 days, p = 0.003) and were exposed to more abdominal radiographs. Future CBS therapies should target small infants, prevent air entry from above, and aim to reduce time to full enteral feeds and radiographic exposure.

Clinical practice recommendations for kidney involvement in tuberous sclerosis complex: a consensus statement by the ERKNet Working Group for Autosomal Dominant Structural Kidney Disorders and the ERA Genes & Kidney Working Group.

Tuberous sclerosis complex (TSC) is an autosomal dominant disorder characterized by the presence of proliferative lesions throughout the body. Management of TSC is challenging because patients have a multifaceted systemic illness with prominent neurological and developmental impact as well as potentially severe kidney, heart and lung phenotypes; however, every organ system can be involved. Adequate care for patients with TSC requires a coordinated effort involving a multidisciplinary team of clinicians and support staff. This clinical practice recommendation was developed by nephrologists, urologists, paediatric radiologists, interventional radiologists, geneticists, pathologists, and patient and family group representatives, with a focus on TSC-associated kidney manifestations. Careful monitoring of kidney function and assessment of kidney structural lesions by imaging enable early interventions that can preserve kidney function through targeted approaches. Here, we summarize the current evidence and present recommendations for the multidisciplinary management of kidney involvement in TSC.

Paediatric interventional radiology: it’s not child’s play

Pediatric interventional radiology is a dynamic and growing subspecialty. The new training pathways in interventional radiology, the maintenance of skills with a small volume of cases or complex procedures, the limited availability of specific pediatric equipment and materials pose significant challenges and opportunities.

Morphometric and clinical comparison of MRI-based synthetic CT to conventional CT of the hip in children.

MRI-based synthetic CT (sCT) generates CT-like images from MRI data. To evaluate equivalence, inter- and intraobserver reliability, and image quality of sCT compared to conventional (cCT) for assessing hip morphology and maturity in pediatric patients. We prospectively enrolled patients <21 years old with cCT and 3T MRI of the hips/pelvis. A dual-echo gradient-echo sequence was used to generate sCT via a commercially available post-processing software (BoneMRI v1.5 research version, MRIguidance BV, Utrecht, NL). Two pediatric musculoskeletal radiologists measured seven morphologic hip parameters. 3D surface distances between cCT and sCT were computed. Physeal status was established at seven locations with cCT as reference standard. Images were qualitatively scored on a 5-point Likert scale regarding diagnostic quality, signal-to-noise ratio, clarity of bony margin, corticomedullary differentiation, and presence and severity of artifacts. Quantitative evaluation of Hounsfield units (HU) was performed in bone, muscle, and fat tissue.Inter- and intraobserver reliability were measured by intraclass correlation coefficients. The cCT-to-sCT intermodal agreement was assessed via Bland-Altman analysis. The equivalence between modalities was tested using paired two one-sided tests. The quality parameter scores of each imaging modality were compared via Wilcoxon signed-rank test. For tissue-specific HU measurements, mean absolute error and mean percentage error values were calculated using the cCT as the reference standard. Thirty-eight hips in 19 patients were included (16.6 ± 3 years, range 9.9-20.9; male = 5). cCT- and sCT-based morphologic measurements demonstrated good to excellent inter- and intraobserver correlation (0.77<ICC<0.98). Measurements were statistically equivalent (P< 0.05), with average intermodal differences <2°. Mean surface distance between cCT and sCT was 0.23 ± 0.18mm. Accuracy to determine physeal maturity status by sCT was 98.4% (242/246, 95% CI 96.0-99.6). No significant differences were found on overall diagnostic quality, bony margin clarity, corticomedullary differentiation, and artifacts between sCT and cCT; signal-to-noise ratio was higher on sCT (P< 0.001). HU were within reference values on both sCT and cCT. sCT is equivalent to cCT for the assessment of hip morphology, physeal status, and radiodensity assessment in pediatric patients.

MRI findings of peroneal tendon tears do not necessarily correlate to clinical findings in paediatric and adolescent patients.

Pathologic abnormality of the peroneal tendons are thought to be an under-appreciated source of vague ankle and hindfoot pain in paediatric patients, partly because they can be difficult to diagnose and differentiate from lateral ankle ligament injuries. While magnetic resonance imaging (MRI) is the primary imaging modality used to detect peroneal tendon pathology, previous studies in adults have found that positive MRIs demonstrate a positive predictive value (PPV) of associated clinical findings around 48%. There are no similar known published studies in the paediatric population. Our objective was to determine the positive predictive value of peroneal tendon pathology as diagnosed by MRI as related to positive clinical exam findings in the paediatric and adolescent population. This IRB approved retrospective study was conducted at a tertiary children's hospital. Inclusion criteria included patients under 18years from our tertiary care institution with (a) ankle MRI findings indicating pathology of the peroneus brevis/longus tendons confirmed by a board certified paediatric musculoskeletal radiologist and (b) formal review of the clinical examination by a fellowship trained paediatric orthopaedic surgeon. Patients with congenital deformities or previous surgical intervention of the lateral ankle were excluded. Forty-seven patients (with 48 MRIs) met inclusion criteria over a tenyear period. The majority of the positive MRI scans (70%) demonstrated a peroneus brevis split tear. Of the patients with positive findings on MRI, 17 patients had an associated positive clinical exam. The positive predictive value of MRI for peroneal tendon tears with positive clinical findings was 35.41% (95% confidence interval = 31.1% to 41.6%). There were 31 patients with MRI positive findings with a negative clinical exam. Despite having a negative clinical exam, a high percentage of patients had positive MRI findings suggestive of peroneal tendon pathology which confirms findings of adult populations demonstrating a high rate of incidental finding of peroneal tendon pathology on MRI in paediatric patients.

The impact of high-frequency transducers on the sonographic measurements of the pyloric muscle thickness in infants.

Ultrasound is the modality of choice for the diagnosis of hypertrophic pyloric stenosis (HPS). The evolution of high-frequency transducers in ultrasound has led to inconsistent ways of measuring the pylorus. To standardize the measurements and evaluate the appearance of the normal and hypertrophied pylorus with high-frequency transducers. We retrospectively analyzed abdominal ultrasounds of infants with suspected HPS from January 2019-December 2020. We classified the layers of the pylorus while assessing the stratified appearance. Two pediatric radiologists measured the muscle thickness of the pylorus independently by two methods for interrater agreement. Measurement (a) includes the muscularis propria and muscularis mucosa. Measurement (b) includes only the muscularis propria. We also evaluated the echogenicity of the muscularis propria. The interrater agreement, mean, range of the muscle thickness, and the diagnostic accuracy of the two sets of measurements were calculated. We included 300 infants (114F:186M), 59 with HPS and 241 normal cases. There was a strong agreement between the readers assessed in the first 100 cases, and ICC was 0.99 (95% CI, 0.98-0.99). Measurement (a), median thickness is 2.4mm in normal cases and 4.8mm in HPS. Measurement (b), median thickness is 1.4mm in normal cases and 4.0mm in HPS. Measurement (a) has an accuracy of 89.7% (95% CI, 85.7-92.8%) with 98.3% sensitivity and 87.6% specificity. Measurement (b) has an accuracy of 98.0% (95% CI, 95.7-99.3%) with 89.8% sensitivity and 100.0% specificity. The pylorus stratification is preserved in all normal cases and 31/59 (52.5%) cases of HPS. There was complete/partial loss of stratification in 28/59 (47.5%) cases of HPS. In all HPS cases, the muscularis propria was echogenic. Measuring the muscularis propria solely has a better diagnostic accuracy, decreasing the overlap of negative and positive cases. The loss of pyloric wall stratification and echogenic muscularis propria is only seen in HPS.

Reimagining Radiology: A Comprehensive Overview of Reviews at the Intersection of Mobile and Domiciliary Radiology over the Last Five Years.

(Background) Domiciliary radiology, which originated in pioneering studies in 1958, has transformed healthcare, particularly during the COVID-19 pandemic, through advancements such as miniaturization and digitization. This evolution, driven by the synergy of advanced technologies and robust data networks, reshapes the intersection of domiciliary radiology and mobile technology in healthcare delivery. (Objective) The objective of this study is to overview the reviews in this field with reference to the last five years to face the state of development and integration of this practice in the health domain. (Methods) A review was conducted on PubMed and Scopus, applying a standard checklist and a qualification process. The outcome detected 21 studies. (Key Content and Findings) The exploration of mobile and domiciliary radiology unveils a compelling and optimistic perspective. Notable strides in this dynamic field include the integration of Artificial Intelligence (AI), revolutionary applications in telemedicine, and the educational potential of mobile devices. Post-COVID-19, telemedicine advances and the influential role of AI in pediatric radiology signify significant progress. Mobile mammography units emerge as a solution for underserved women, highlighting the crucial importance of early breast cancer detection. The investigation into domiciliary radiology, especially with mobile X-ray equipment, points toward a promising frontier, prompting in-depth research for comprehensive insights into its potential benefits for diverse populations. The study also identifies limitations and suggests future exploration in various domains of mobile and domiciliary radiology. A key recommendation stresses the strategic prioritization of multi-domain technology assessment initiatives, with scientific societies' endorsement, emphasizing regulatory considerations for responsible and ethical technology integration in healthcare practices. The broader landscape of technology assessment should aim to be innovative, ethical, and aligned with societal needs and regulatory standards. (Conclusions) The dynamic state of the field is evident, with active exploration of new frontiers. This overview also provides a roadmap, urging scholars, industry players, and regulators to collectively contribute to the further integration of this technology in the health domain.

Deep learning model performance for identifying pediatric acute respiratory distress syndrome on chest radiographs

PurposePediatric acute respiratory distress syndrome (PARDS) is underrecognized in the pediatric intensive care unit and the interpretation of chest radiographs is a key step in identification. We sought to test the performance of a machine learning model to detect PARDS in a cohort of children with respiratory failure.Materials and methodsA convolutional neural network (CNN) model previously developed to detect ARDS on adult chest radiographs was applied to a cohort of children age 7 days to 18 years, admitted to the PICU, and mechanically ventilated through a tracheostomy, endotracheal tube or full-face non-invasive positive pressure mask between May 2016 and January 2017. Two pediatric critical care physicians and a pediatric radiologist reviewed chest radiographs to evaluate if the chest radiographs were consistent with ARDS (bilateral airspace disease) and PARDS (any airspace disease) and the CNN model was tested against clinicians.ResultsA total of 328 chest radiographs were evaluated from 66 patients. Clinicians identified 84% (276/328) of the radiographs as potentially consistent with PARDS. Inter-rater reliability between individual clinicians and between the model and clinicians was similar (Cohen’s kappa 0.48 [95% CI 0.37–0.59] and 0.45 [95% CI 0.33–0.57], respectively). The model was better at identifying PARDS (AUC 0.882, F1 0.897) than ARDS (AUC 0.842, F1 0.742) and had equivalent or better performance to individual clinicians.ConclusionsAn ARDS detection model trained on adults performed well in detecting PARDS in children. Computer-assisted identification of PARDS on chest radiographs could improve the diagnosis of PARDS for enrollment in clinical trials and application of PARDS guidelines through improved diagnosis.

Tracheobronchial abnormalities on computed tomography angiography in children with congenital heart disease.

To evaluate the assortment of tracheobronchial abnormalities on computed tomography angiography (CTA) in children with congenital heart disease (CHD). In this study approved by the Institute ethics committee, CTA studies of 182 children (age range: 2 days-8 years) with CHD, performed from July 2021 to March 2023 were analyzed. Two pediatric radiologists independently assessed the tracheobronchial airways (from the trachea to lobar bronchi) for developmental and branching anomalies and airway compromise (narrowing). In cases which demonstrated airway compromise, the extent and the cause of airway narrowing were evaluated, and the etiology were divided into extrinsic and intrinsic causes. Interobserver agreement between the two radiologists was calculated using kappa statistics. One hundred children demonstrated normal airway anatomy and no luminal narrowing. Airway narrowing was observed in 63 (34.6%) children (κ: 0.954), and developmental airway anomalies were seen in 32 (17.5%) children (κ: 0.935). Of the 63 children with airway narrowing, 47 (25.8%) children had extrinsic cause for narrowing, 11 (6%) children had intrinsic causes for narrowing, and 5 (2.7%) children had both intrinsic and extrinsic causes attributing to airway compromise. Significant airway narrowing (>50% reduction) was seen in 35 (19.2%) children (κ: 0.945). Tracheobronchial airway abnormalities are frequently associated in children with CHD and need to be appraised preoperatively. Cross-sectional imaging with CTA provides excellent information on tracheobronchial airway anatomy and caliber as well as delineates the possible etiology of airway narrowing, thus accurately diagnosing airway anomalies.

Automated Detection of Pediatric Foreign Body Aspiration from Chest X-rays Using Machine Learning.

Standard chest radiographs are a poor diagnostic tool for pediatric foreign body aspiration. Machine learning may improve upon the diagnostic capabilities of chest radiographs. The objective is to develop a machine learning algorithm that improves the diagnostic capabilities of chest radiographs in pediatric foreign body aspiration. This retrospective, diagnostic study included a retrospective chart review of patients with a potential diagnosis of FBA from 2010 to 2020. Frontal view chest radiographs were extracted, processed, and uploaded to Google AutoML Vision. The developed algorithm was then evaluated against a pediatric radiologist. The study selected 566 patients who were presented with a suspected diagnosis of foreign body aspiration. One thousand six hundred and eighty eight chest radiograph images were collected. The sensitivity and specificity of the radiologist interpretation were 50.6% (43.1-58.0) and 88.7% (85.3-91.5), respectively. The sensitivity and specificity of the algorithm were 66.7% (43.0-85.4) and 95.3% (90.6-98.1), respectively. The precision and recall of the algorithm were both 91.8% with an AuPRC of 98.3%. Chest radiograph analysis augmented with machine learning can diagnose foreign body aspiration in pediatric patients at a level similar to a read performed by a pediatric radiologist despite only using single-view, fixed images. Overall, this study highlights the potential and capabilities of machine learning in diagnosing conditions with a wide range of clinical presentations. 3 Laryngoscope, 134:3807-3814, 2024.

Radiation reduction for interventional radiology imaging: a video frame interpolation solution

PurposeThe aim of this study was to diminish radiation exposure in interventional radiology (IR) imaging while maintaining image quality. This was achieved by decreasing the acquisition frame rate and employing a deep neural network to interpolate the reduced frames.MethodsThis retrospective study involved the analysis of 1634 IR sequences from 167 pediatric patients (March 2014 to January 2022). The dataset underwent a random split into training and validation subsets (at a 9:1 ratio) for model training and evaluation. Our approach proficiently synthesized absent frames in simulated low-frame-rate sequences by excluding intermediate frames from the validation subset. Accuracy assessments encompassed both objective experiments and subjective evaluations conducted by nine radiologists.ResultsThe deep learning model adeptly interpolated the eliminated frames within IR sequences, demonstrating encouraging peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) results. The average PSNR values for angiographic, subtraction, and fluoroscopic modes were 44.94 dB, 34.84 dB, and 33.82 dB, respectively, while the corresponding SSIM values were 0.9840, 0.9194, and 0.7752. Subjective experiments conducted with experienced interventional radiologists revealed minimal discernible differences between interpolated and authentic sequences.ConclusionOur method, which interpolates low-frame-rate IR sequences, has shown the capability to produce high-quality IR images. Additionally, the model exhibits potential for reducing the frame rate during IR image acquisition, consequently mitigating radiation exposure.Critical relevance statementThis study presents a critical advancement in clinical radiology by demonstrating the effectiveness of a deep neural network in reducing radiation exposure during pediatric interventional radiology while maintaining image quality, offering a potential solution to enhance patient safety.Key points• Reducing radiation: cutting IR image to reduce radiation.• Accurate frame interpolation: our model effectively interpolates missing frames.• High visual quality in terms of PSNR and SSIM, making IR procedures safer without sacrificing quality.Graphical

Radiographic findings of adenoviral pneumonia in children

ObjectiveAdenovirus pneumonia is a common cause of community-acquired pneumonia in children and can mimic bacterial pneumonia, but there are few publications on its radiographic features. This study has evaluated the chest radiography findings of community-acquired adenovirus pneumonia in children. The frequency of radiological findings mimicking bacterial pneumonia was investigated. The clinical features of patients with adenovirus pneumonia possessing radiological findings mimicking bacterial pneumonia were also evaluated. Materials and methodsThe chest radiographs of patients diagnosed with adenovirus pneumonia were retrospectively reviewed. The chest radiographs were interpreted independently by a pediatric infectious disease specialist and a pediatric radiologist. Chest radiography findings mimicking bacterial pneumonia (bacterial-like) were specified as consolidation +/− pleural effusion. Other findings on chest radiography or a completely normal chest X-ray were specified as findings that were compatible with “typical viral pneumonia”. ResultsA total of 1407 patients were positive for adenovirus with respiratory multiplex PCR. The 219 patients who met the study criteria were included in the study. Chest radiographs were normal in 58 (26.5 %) patients. The chest radiograph findings mimicked bacterial pneumonia in 41 (18.7 %) patients. ConclusionAdenovirus pneumonia occurs predominantly in children aged five years and younger, as with other viral pneumonias. The radiographic findings in adenovirus pneumonia are predominantly those seen in viral pneumonia. Increasing age and positivity for only adenovirus without other viruses on respiratory multiplex PCR were associated with the chest radiograph being more likely to be “bacterial-like”. Adenovirus may lead to lobar/segmental consolidation at a rate that is not very rare.

Pre- and post-COVID-19 gender trends in authorship for paediatric radiology articles worldwide: a systematic review.

Gender inequalities in academic medicine persist despite progress over the past decade. Evidence-based targeted interventions are needed to reduce gender inequalities. This systematic review aimed to investigate the impact of COVID-19 on gender trends in authorship of paediatric radiology research worldwide. This prospectively registered, PRISMA-compliant systematic review searched the following databases: PubMed, MEDLINE, Web of Science, and Scopus from January 1, 2018, to May 29, 2023, with no restrictions on country of origin. Screening and data extraction occurred independently and in duplicate. Gender of first, last, and corresponding authors were determined using an artificial intelligence-powered, validated, multinational database ( www.genderize.io ). Two time periods were categorised according to the Johns Hopkins Center for Systems Science and Engineering: pre-COVID (prior to March 2020) and peak and post-COVID (March 2020 onwards). One-sample binomial testing was used to analyse proportion of authorship based on gender. Categorical variables were described as frequencies and percentages, and compared using testing chi-square or Fisher exact testing, with a threshold of P<0.05 representing statistical significance. In total, 922 articles were included with 39 countries represented. A statistically significant difference in authorship based on gender persisted during the peak and post-COVID time period (March 2020 onwards) where women represented a statistically significant lower proportion of last (35.5%) and corresponding (42.7%) authors (P<0.001, P=0.001, respectively). Statistically significant differences for first authors were not found in either period (P=0.08 and P=0.48). This study identifies differences in gender trends for authorship in paediatric radiology research worldwide. Future efforts to increase authorship by women are needed.

Overview of gender-affirming surgery.

This publication will discuss the diversity of procedures that are common to those with intersex traits,/differences of sex development (I/DSD), and transgender and gender diverse (TGD) patients. It will address how these procedures are performed, and common after care and long-term considerations which are relevant to the pediatric radiologist. Some surgeries offered to these patient populations have shared surgical approaches and radiographic considerations. With the growth of TGD procedures as a field, more pediatric subspecialties are performing these procedures, and the approaches are informing the surgical care of the growing number of I/DSD individuals who are seeking surgery in adolescence and young adulthood. Surgeries discussed will include procedures to masculinize or feminize breast/chest tissue, facial bony contours, as well as internal and external genital structures. Patients are diverse and this includes their embodiment goals. As such, not all TGD and I/DSD patients will desire to undergo these procedures. It is important for radiologists to have a foundational understanding of this heterogenous set of procedures so they can provide optimal care for these patient populations.

Prevalence of nephrocalcinosis among a sample of preterm babies at Fallujah city in the west of Iraq

Background: Nephrocalcinosis (NC) is a serious condition among neonates that needs proper management. The study aimed to detect the prevalence of nephrocalcinosis among preterm babies in Fallujah city, west of Iraq, and measure its association with a variety of risk factors. Methods: Thirty preterm cases were recruited from September to December of 2019. A pediatric radiologist performed an ultrasound on babies in the sample to detect nephrocalcinosis. Results: There were 30 neonate babies; 7 (23%) cases had nephrocalcinosis. The mean gestation weight was 1.6±0.4 Kg. About 6% of the neonates did not need an oxygen supply, 10% required steroids, 33% needed theophylline, 20% received vancomycin, 3% received diuretics, and 70% received gentamycin. There was a statistically non-significant association between gender and using oxygen, theophylline, steroids, vancomycin, and diuretics with the occurrence of nephrocalcinosis. Conclusion: Nephrocalcinosis among premature babies is a common disease and should be considered for screening. Treatment is mandatory to prevent its dangerous consequences.

Communicating difficult news in pediatric radiology.

Effective communication is an important aspect of providing quality healthcare. Radiology staff may be called upon to communicate results, even when it is difficult. Simple, efficient communication models can be learned to reduce clinician distress and support patients and families through stressful times. These practical tips ensure essential communication elements are met, including assessing patient and family perspectives, clearly delivering medical information, responding with empathy, and collaborating around next steps. Models such as "Ask-Tell-Ask," "SPIKES," and "NURSE" can be used to disclose results, communicate serious news, and respond to emotion. Lastly, clinicians can also utilize "I wish… I worry… I wonder" statements to align with a patient's hopes and acknowledge a family's concerns, ultimately allowing healthcare professionals to support and guide families through challenging situations.

TB or not TB? Diagnostic Sensitivity, Specifity and Interobserver Agreement in the Radiological Diagnosis of Pulmonary Tuberculosis in Children.

The differentiation between latent tuberculosis infection (LTBI) and tuberculosis (TB) relies on radiological changes. Confirming the diagnosis remains a challenge because typical findings are often missing in children. This study evaluates diagnostic sensitivity, specifity and interobserver agreement on the radiological diagnosis of TB by chest-x-rays in accordance to professional specialization and work experience. Chest x-rays of 120 children with proven tuberculosis infection were independently evaluated by general radiologists, paediatric radiologists and paediatric pulmonologists. Results were compared to a reference diagnosis created by group of experienced paediatric radiologists and paediatric pulmonologists. Primary endpoints were diagnostic sensitivity and specificity and interobserver variability defined as Krippendorfs alpha of thesel groups compared to the reference diagnosis. Of the 120 chest x-rays 33 (27,5%) were diagnosed as TB by the reference standard . Paediatric pulmonologist had the highest diagnostic sensitivity (90%) but were less specific (71%) whereas general radiologist were less sensitive (68%) but more secific (95%). The best diagnostic accuracy was achieved by pediatric radiologists with a diagnostic sensitivity of 77% and specificity 95% respectively. We demonstrated significant interobserver variability and relevant differences in sensitivity and specificity in the radiological diagnosis of TB between the groups. Paediatric radiologists showed the best diagnostic performance. As the diagnosis of pulmonary TB has significant therapeutic consequences for children they should be routinely involved in the diagnostic process.

Brain MRI in infants exposed to the Zika virus, with one-year follow-up: expanding the phenotype.

To analyze longitudinal changes between two brain magnetic resonance imaging (MRI) exams performed one year apart in symptomatic infants with congenital Zika syndrome (CZS) and normocephalic infants exposed to the Zika virus (ZIKV) prenatally. This was a prospective observational study. Infants born to women who tested positive for ZIKV on reverse transcription-quantitative polymerase chain reaction during pregnancy were classified into two groups: symptomatic infants with CZS and asymptomatic infants. All of the infants underwent brain MRI at presentation and after one year of follow-up. All MRI scans were evaluated independently by a pediatric radiologist and a pediatric neuroradiologist, and the infants underwent clinical monitoring by a pediatric neurologist. The sample included 36 infants exposed to ZIKV perinatally. Therefore, a total of 72 MRI scans were evaluated. Among the 36 infants included a diagnosis of CZS was made in 25 (69.4%), of whom 18 presented with a combination of classic findings (including reduced brain volume, subcortical calcifications, brainstem hypoplasia, malformations of the corpus callosum, malformations of cortical development, and ventriculomegaly), as well as atypical findings such as hyperintense foci in the white matter on T2-weighted sequences. Of those same 25 infants, seven presented with mild lesions. Of the 11 normocephalic patients, five (13.9%) had atypical findings such as hyperintense foci in the white matter on T2-weighted sequences and no other manifestations of CZS, although there was mild neurological involvement. Six (16.6%) of the 36 patients had completely normal MRI scans with no neurological changes. No disease progression was observed during follow-up. In infants exposed to ZIKV perinatally, the frequency of classic and atypical findings on brain MRI seems to be associated with the neurological status. Brain MRI is an important diagnostic tool in the evaluation and monitoring of patients with congenital infection, because intracranial changes other than microcephaly can occur.

Brain Tumor Imaging in Adolescents and Young Adults: 2021 WHO Updates for Molecular-based Tumor Types.

Published in 2021, the fifth edition of the World Health Organization (WHO) classification of tumors of the central nervous system (CNS) introduced new molecular criteria for tumor types that commonly occur in either pediatric or adult age groups. Adolescents and young adults (AYAs) are at the intersection of adult and pediatric care, and both pediatric-type and adult-type CNS tumors occur at that age. Mortality rates for AYAs with CNS tumors have increased by 0.6% per year for males and 1% per year for females from 2007 to 2016. To best serve patients, it is crucial that both pediatric and adult radiologists who interpret neuroimages are familiar with the various pediatric- and adult-type brain tumors and their typical imaging morphologic characteristics. Gliomas account for approximately 80% of all malignant CNS tumors in the AYA age group, with the most common types observed being diffuse astrocytic and glioneuronal tumors. Ependymomas and medulloblastomas also occur in the AYA population but are seen less frequently. Importantly, biologic behavior and progression of distinct molecular subgroups of brain tumors differ across ages. This review discusses newly added or revised gliomas in the fifth edition of the CNS WHO classification, as well as other CNS tumor types common in the AYA population.

Performance Analysis in Children of Traditional and Deep Learning CT Lung Nodule Computer-Aided Detection Systems Trained on Adults.

BACKGROUND. Although primary lung cancer is rare in children, chest CT is commonly performed to assess for lung metastases in children with cancer. Lung nodule computer-aided detection (CAD) systems have been designed and studied primarily using adult training data, and the efficacy of such systems when applied to pediatric patients is poorly understood. OBJECTIVE. The purpose of this study was to evaluate in children the diagnostic performance of traditional and deep learning CAD systems trained with adult data for the detection of lung nodules on chest CT scans and to compare the ability of such systems to generalize to children versus to other adults. METHODS. This retrospective study included pediatric and adult chest CT test sets. The pediatric test set comprised 59 CT scans in 59 patients (30 boys, 29 girls; mean age, 13.1 years; age range, 4-17 years), which were obtained from November 30, 2018, to August 31, 2020; lung nodules were annotated by fellowship-trained pediatric radiologists as the reference standard. The adult test set was the publicly available adult Lung Nodule Analysis (LUNA) 2016 subset 0, which contained 89 deidentified scans with previously annotated nodules. The test sets were processed through the traditional FlyerScan (github.com/rhardie1/FlyerScanCT) and deep learning Medical Open Network for Artificial Intelligence (MONAI; github.com/Project-MONAI/model-zoo/releases) lung nodule CAD systems, which had been trained on separate sets of CT scans in adults. Sensitivity and false-positive (FP) frequency were calculated for nodules measuring 3-30 mm; nonoverlapping 95% CIs indicated significant differences. RESULTS. Operating at two FPs per scan, on pediatric testing data FlyerScan and MONAI showed significantly lower detection sensitivities of 68.4% (197/288; 95% CI, 65.1-73.0%) and 53.1% (153/288; 95% CI, 46.7-58.4%), respectively, than on adult LUNA 2016 subset 0 testing data (83.9% [94/112; 95% CI, 79.1-88.0%] and 95.5% [107/112; 95% CI, 90.0-98.4%], respectively). Mean nodule size was smaller (p < .001) in the pediatric testing data (5.4 ± 3.1 [SD] mm) than in the adult LUNA 2016 subset 0 testing data (11.0 ± 6.2 mm). CONCLUSION. Adult-trained traditional and deep learning-based lung nodule CAD systems had significantly lower sensitivity for detection on pediatric data than on adult data at a matching FP frequency. The performance difference may relate to the smaller size of pediatric lung nodules. CLINICAL IMPACT. The results indicate a need for pediatric-specific lung nodule CAD systems trained on data specific to pediatric patients.