Experienced Pediatric Radiologist Research Articles

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.

Chest Radiograph Findings Monitoring with Time Course of COVID-19 Pediatrics Patients

Objective: To study image findings in covid pediatric patients, both in the first diagnosis images and follow-up images to see disease progression over time. Materials and Methods: The present research was conducted in all pediatric patients aged 0 to 18 years diagnosed as Covid-19 infection and admitted at Phramongkutklao Hospital during the study period. Image findings were retrospectively reviewed by an experienced pediatric radiologist and Brixia score was given. The maximum severity score and timing to reach this score were calculated and recorded in all patients. Results: During the study period, 428 films were collected from 170 patients. Most patients were male with a mean age of 9.89 years. Most common presenting symptom was fever. One-fourth of the studied patients had underlying illnesses. Most patients were symptomatic patients with 156 out of 170 (91.8%). The first X-ray showed abnormalities in 64.7% of symptomatic group and 42.9% in asymptomatic group. Common lobes of lungs involved were middle and lower lobes, which was slightly right-side predominate. Mean Brixia score was 2.79 (0 to 12) and 2.97 (0 to 14) in asymptomatic and symptomatic patients, respectively, which was not statistically significant. Time to reach maximum severity score was phase 1 (0 to 4 days) for symptomatic patients and phase 2 (5 to 8 days) for asymptomatic ones. For patients with normal first X-ray, abnormalities could be detected on later films, mostly in phase 1 and 2. Conclusion: Screening X-ray at the first diagnosis had high rates of abnormality detection regardless of symptom. For patients with normal first X-ray, abnormalities could be detected on later films, mostly in phase 1 and 2. Therefore, even with the fear of unnecessary exposure to radiation in children, X-ray should be performed at the first diagnosis regardless of symptom. Appropriate timing to follow-up X-ray was phase 2, at day 5 to 8 of disease. Keywords: Covid 19 X-ray; Covid in children; X-ray of pediatric covid

Dating birth-related clavicular fractures: pediatric radiologists versus artificial intelligence.

Fracture dating from skeletal surveys is crucial in the diagnosis and investigation of infant abuse. However, this task is challenging because of the subjective nature of the radiologic interpretation and the lack of ground truth. Researchers have used birth-related clavicle fractures as a surrogate to study the radiographic pattern of healing; however, they did not elucidate the accuracy performance of the radiologists in dating fractures. To determine the accuracy of radiologists in dating birth-related clavicle fractures and compare their performance to that achieved by computer algorithm. We used a previously assembled birth-related clavicle fracture database consisting of 416 anteroposterior clavicle radiographs as the study cohort. The average and standard deviation of the fracture age within this database were 24days and 18days, respectively. Three blinded radiologists independently estimated the ages of the clavicle fractures depicted in the radiographs within the database. We compared these estimation results to those made by a recently published deep-learning (DL) model conducted with the identical infant cohort. We calculated standard error metrics to compare the accuracy performances of the radiologists and the computer model. The intra- and inter-reader agreements of the fracture age estimates by the radiologists were moderate to good. The radiologists estimated the fracture ages with a mean absolute error (MAE) of 6.1-7.1days, and standard deviation of the absolute error of 6.3-8.3days. The accuracy performances of the three radiologists were not significantly different from one another. In comparison, the DL model estimated the age of clavicle fractures with an MAE of 4.2days, significantly lower than all of the radiologists (P< 0.001). Three experienced pediatric radiologists dated clavicular fractures with moderate-good intra- and inter-reader agreements. The correlations between the radiologists' estimates and the ground truth were moderate to good. The fracture ages assigned by the DL model showed superior correlation with the ground truth compared to radiologists' dating estimates.

Feasibility of Non-Gated Dynamic Fetal Cardiac MRI for Identification of Fetal Cardiovascular Anatomy

Introduction: The aim of this study was to evaluate the feasibility of identifying the fetal cardiac and thoracic vascular structures with non-gated dynamic balanced steady-state free precession (SSFP) MRI sequences. Methods: We retrospectively assessed the visibility of cardiovascular anatomy in 60 fetuses without suspicion of congenital heart defect. Non-gated dynamic balanced SSFP sequences were acquired in three anatomic planes of the fetal thorax. The images were analyzed following a segmental approach in consensus reading by an experienced pediatric cardiologist and radiologist. An imaging score was defined by giving one point to each visualized structure, yielding a maximum score of 21 points. Image quality was rated from 0 (poor) to 2 (excellent). The influence of gestational age (GA), field strength, placenta position, and maternal panniculus on image quality and imaging score were tested. Results: 30 scans were performed at 1.5T, 30 at 3T. Heart position, atria, and ventricles could be seen in all 60 fetuses. Basic diagnosis (>12 points) was achieved in 54 cases. The mean imaging score was 16.8+/−3.8. Maternal panniculus (r = −0.3; p = 0.015) and GA (r = 0.6; p < 0.001) correlated with imaging score. Field strength influenced image quality, with 1.5T being better than 3T images (p = 0.012). Imaging score or quality was independent of placenta position. Conclusion: Fetal cardiac MRI with non-gated SSFP sequences enables recognition of basic cardiovascular anatomy.

Does clinical experience with dental traumatology impact 2D and 3D radiodiagnostic performance in paediatric dentists? An exploratory study

BackgroundThe aim of this study is to evaluate the impact of experience with traumatic dental injuries (TDI) on paediatric dentists’ performance and self-assessed confidence when radiodiagnosing traumatic dental injuries (TDI) and to explore whether this is influenced by the imaging technique used (2D versus 3D).Materials and methodsBoth 2D and 3D radiological images of young anterior permanent teeth having experienced dental trauma were assessed randomly by a panel of paediatric dentists using structured scoring sheets. The impact of level of experience with dental traumatology on radiological detection, identification and interpretation of lesions and on observer’s self-assessed confidence was evaluated. Findings were compared to benchmark data deriving from expert consensus of an experienced paediatric endodontologist and dentomaxillofacial radiologist. Results were analysed using generalized linear mixed modelling.ResultsOverall, observers performed moderately to poor, irrespective of their level of TDI experience and imaging modality used. No proof could be yielded that paediatric dentists with high TDI experience performed better than those with low experience, for any of the outcomes and irrespective of the imaging modality used. When comparing the use of 3D images with 2D images, significantly higher sensitivities for the detection and correct identification of anomalies were observed in the low experienced group (P < 0.05). This was not the case regarding interpretation of the findings. Self-assessed confidence was significantly higher in more experienced dentists, both when using 2D and 3D images (P < 0.05).ConclusionThere was no proof that paediatric dentist’s higher experience with TDI is associated with better radiodiagnostic performance. Neither could it be proven that the use of Cone Beam Computed Tomography (CBCT) contributes to an improved interpretation of findings, for any experience level. More experienced dentists feel more confident, irrespective of the imaging modality used, but this does not correlate with improved performance. The overall poor performance in image interpretation highlights the importance of teaching and training in both dental radiology and dental traumatology.

Vascular Anatomy in Congenital Lung Lesions-Description and Classification.

BackgroundBronchopulmonary sequestration (BPS) and hybrid lesion of congenital pulmonary airway malformation (CPAM) are congenital lung lesions typically presenting with systemic vascular connection. We describe and categorize this atypical systemic vascular anatomy in congenital lung lesions.MethodsIn a medical chart review from 2005 to 2020 patients with systemic vascular connection of congenital lung lesions were identified. Clinical and radiological data were collected and compared. Two experienced pediatric radiologists reviewed postnatal thoracic contrast-enhanced computed tomography scans to describe and categorize atypical vascular anatomy. We completed our findings with a review on vascular anatomy in congenital lung lesions.ResultsA total of 21 patients with congenital lung lesions (nine extralobar BPS, five intralobar BPS, seven hybrid lesions) had systemic arterial supply; with seven of these additionally having systemic venous drainage. Origin of the feeding arteries from the aorta or aortic main branches was described as supra-diaphragmatic (descending thoracic aorta) in nine and infra-diaphragmatic in ten patients (abdominal aorta, celiac trunk). In two patients with hybrid lesions both supra- and infra-diaphragmatic arterial feeders were found. Additional systemic venous connection of supra-diaphragmatic type drains into the azygos-hemiazygos system (4/21) while the infra-diaphragmatic type (3/21) drains into caval vein, portal or splenic vein.ConclusionVarious variants of systemic arterial and venous connection of congenital lung lesions can be found. Classification of systemic arterial connection as well as venous drainage of congenital lung lesions as supra-diaphragmatic and infra-diaphragmatic types is intuitive, simple and may be important for the surgeon to avoid unanticipated situations and to perform safe resections.

Interobserver Agreement for CT and MRI Findings of Chronic Pancreatitis in Children: A Multicenter Ancillary Study Under the INSPPIRE Consortium.

BACKGROUND. Imaging findings represent key criteria for diagnosing chronic pancreatitis in children. Understanding radiologists' agreement for imaging findings is critical to standardizing and optimizing diagnostic criteria. OBJECTIVE. The purpose of this study is to evaluate the interobserver agreement among experienced pediatric radiologists for subjective, quantitative, and semiquantitative imaging findings of chronic pancreatitis in children. METHODS. In this retrospective study, CT or MRI examinations performed in children with chronic pancreatitis were submitted by six sites participating in the INSPPIRE (International Study Group of Pediatric Pancreatitis: In Search for a Cure) Consortium. One pediatric radiologist from each of the six sites reviewed examinations; three of the radiologists independently reviewed all CT examinations, and the other three radiologists independently reviewed all MRI examinations. Reviewers recorded 13 categoric imaging findings of chronic pancreatitis and measured pancreas thickness and pancreatic duct diameter. Agreement was assessed using kappa coefficients for the categoric variables and intraclass correlation coefficients (ICCs) for the continuous variables. RESULTS. A total of 76 CT and 80 MRI examinations performed in 110 children (65 girls and 45 boys; mean age, 11.3 ± 4.6 [SD] years) were reviewed. For CT, kappa coefficients for categoric findings ranged from -0.01 to 0.81, with relatively high kappa coefficients noted for parenchymal calcifications (κ = 0.81), main pancreatic duct dilatation (κ = 0.63), and atrophy (κ = 0.52). ICCs for parenchymal thickness measurements ranged from 0.57 in the pancreas head to 0.80 in the body and tail. The ICC for duct diameter was 0.85. For MRI, kappa coefficients for categoric findings ranged from -0.01 to 0.74, with relatively high kappa coefficients noted for main duct irregularity (κ = 0.74), side branch dilatation (κ = 0.70), number of dilated side branches (κ = 0.65), and main duct dilatation (κ = 0.64); kappa coefficient for atrophy was 0.52. ICCs for parenchymal thickness measurements ranged from 0.53 for the neck and body individually to 0.68 in the tail. ICC for duct diameter was 0.77. CONCLUSION. Interobserver agreement was fair to moderate for most CT and MRI findings of chronic pancreatitis in children. CLINICAL IMPACT. This study highlights challenges for the imaging diagnosis of pediatric chronic pancreatitis. Standardized and/or objective criteria are needed given the importance of imaging in diagnosis.

Incidence of hospitalization for abusive head trauma in Chiba City, Japan.

This study aimed to examine the incidence of abusive head trauma (AHT) admissions by calculating admission rates of AHT cases among infants <12 months old in a population-based sample in Chiba city, Chiba prefecture, Japan. We retrospectively examined medical records of infants admitted to all pediatric secondary and tertiary hospitals in Chiba city between 2011 and 2015. We collected 13 AHT cases, as assessed by hospital-based multidisciplinary child protection teams. One experienced pediatric radiologist and two pediatricians evaluated the case histories and computed tomography images of cases to evaluate them clinically as "strongly" or "moderately" suspected AHT. The overall incidence per 100 000 person-years was 34.5 cases (95% confidence interval (CI): 18.4-59.1), of which 13.3 (95% CI: 4.3-31.0), were strongly suspected to be AHT and 21.3 (95% CI: 9.2-41.9) were moderately suspected. There were no statistical differences in computed tomography findings between severe and moderately suspected AHT. The incidence of hospitalization of infants with AHT was similar to that reported in population-based studies in other countries.

Super-resolution reconstruction of T2-weighted thick-slice neonatal brain MRI scans.

Background and PurposeSuper‐resolutionreconstruction (SRR) can be used to reconstruct 3‐dimensional (3D) high‐resolution (HR) volume from several 2‐dimensional (2D) low‐resolution (LR) stacks of MRI slices. The purpose is to compare lengthy 2D T2‐weighted HR image acquisition of neonatal subjects with 3D SRR from several LR stacks in terms of image quality for clinical and morphometric assessments.MethodsLR brain images were acquired from neonatal subjects to reconstruct isotropic 3D HR volumes by using SRR algorithm. Quality assessments were done by an experienced pediatric radiologist using scoring criteria adapted to newborn anatomical landmarks. The Wilcoxon signed‐rank test was used to compare scoring results between HR and SRR images. For quantitative assessments, morphology‐based segmentation was performed on both HR and SRR images and Dice coefficients between the results were computed. Additionally, simple linear regression was performed to compare the tissue volumes.ResultsNo statistical difference was found between HR and SRR structural scores using Wilcoxon signed‐rank test (p = .63, Z = .48). Regarding segmentation results, R 2 values for the volumes of gray matter, white matter, cerebrospinal fluid, basal ganglia, cerebellum, and total brain volume including brain stem ranged between .95 and .99. Dice coefficients between the segmented regions from HR and SRR ranged between .83 ± .04 and .96 ± .01.ConclusionQualitative and quantitative assessments showed that 3D SRR of several LR images produces images that are of comparable quality to standard 2D HR image acquisition for healthy neonatal imaging without loss of anatomical details with similar edge definition allowing the detection of fine anatomical structures and permitting comparable morphometric measurement.

Fetal Brain Biometric Measurements on 3D Super-Resolution Reconstructed T2-Weighted MRI: An Intra- and Inter-observer Agreement Study.

We present the comparison of two-dimensional (2D) fetal brain biometry on magnetic resonance (MR) images using orthogonal 2D T2-weighted sequences (T2WSs) vs. one 3D super-resolution (SR) reconstructed volume and evaluation of the level of confidence and concordance between an experienced pediatric radiologist (obs1) and a junior radiologist (obs2). Twenty-five normal fetal brain MRI scans (18–34 weeks of gestation) including orthogonal 3-mm-thick T2WSs were analyzed retrospectively. One 3D SR volume was reconstructed per subject based on multiple series of T2WSs. The two observers performed 11 2D biometric measurements (specifying their level of confidence) on T2WS and SR volumes. Measurements were compared using the paired Wilcoxon rank sum test between observers for each dataset (T2WS and SR) and between T2WS and SR for each observer. Bland–Altman plots were used to assess the agreement between each pair of measurements. Measurements were made with low confidence in three subjects by obs1 and in 11 subjects by obs2 (mostly concerning the length of the corpus callosum on T2WS). Inter-rater intra-dataset comparisons showed no significant difference (p > 0.05), except for brain axial biparietal diameter (BIP) on T2WS and for brain and skull coronal BIP and coronal transverse cerebellar diameter (DTC) on SR. None of them remained significant after correction for multiple comparisons. Inter-dataset intra-rater comparisons showed statistical differences in brain axial and coronal BIP for both observers, skull coronal BIP for obs1, and axial and coronal DTC for obs2. After correction for multiple comparisons, only axial brain BIP remained significantly different, but differences were small (2.95 ± 1.73 mm). SR allows similar fetal brain biometry as compared to using the conventional T2WS while improving the level of confidence in the measurements and using a single reconstructed volume.

Artificial intelligence in the endocrine clinic: automated bone age analysis in arabic children from UAE

Objective: Artificial intelligence (AI) is playing an increasing role in patient assessment. AI bone age analysis is such a tool, but its value in Arabic children presenting to an endocrine clinic has not been explored. We compared results from an experienced pediatric radiologist and the AI bone age system, BoneXpert (BX), (Visiana, Denmark) to assess its utility in a cohort of children presenting to the Al Jalila Children’s Specialty Hospital endocrine service.&#x0D; Materials and Methods: We conducted a retrospective chart review of 47 children with growth disorders, initially assessed by a single experienced radiologist and subsequently by BX, to confirm the usefulness of the BX system in our population. The results of the analyses were analysed using a Bland-Altman plot constructed to compare differences between the radiologist’s interpretation and BX across the available range of bone age.&#x0D; Results: Forty-four of the patient x-ray images were analysed by BX. Three X-ray images were rejected by BX due to post-processing artifacts, which prevented computer interpretation. For the remaining 44 X-rays, there was a close correlation between radiologist and BX results (r=0.93; p &lt;0.00001). Two radiographs were identified with a large discrepancy in the reported bone ages. Blinded, independent re-evaluation of the radiographs showed the original manually interpreted bone age to have been erroneous, with the BX results corresponding closely to the amended bone age. A small positive bias was noted in bone age (+0.39 years) in the BX analyses, relative to manual interpretation.&#x0D; Conclusions: AI bone age analysis was of high utility in Arabic children from UAE presenting to an endocrine clinic, with results highly comparable to an experienced radiologist. In the two cases where a large discrepancy was found, independent re-evaluation showed AI analysis was correct.

Feasibility of non-gated dynamic fetal cardiac MRI for identification of fetal cardiovascular anatomy

Abstract Funding Acknowledgements Type of funding sources: None. Purpose We sought to retrospectively evaluate the feasibility of identifying the fetal cardiac and thoracic vascular structures with non-gated dynamic balanced steady-state free precession MRI sequences. Methods We retrospectively assessed the visibility of cardiovascular anatomy in 66 fetuses without suspicion of congenital heart defect (mean gestational age 27+/- 4, range 21-38 weeks). Non-gated dynamic balanced steady-state free precession (SSFP) sequences were acquired in three planes (axial, coronal and sagittal) of the fetal thorax (slice thickness 4-5mm, FOV 400, FA 60°, matrix 256x256). The images were analysed following a segmental approach in consensus reading by an experienced paediatric cardiologist and radiologist. An imaging score was defined by giving one point to each visualized structure. Basic diagnostic structures included the atria, ventricles, systemic veins, right and left ventricular outflow tracts (RVOT/LVOT), aortic arch, descending aorta (DAO), ductus arteriosus and thymus (12 points); advanced diagnostic features included the atrioventricular (AV) valves, pulmonary arteries and veins, supraaortic arteries and trachea, yielding a maximum score of 21 points. Image quality was rated from 0 (poor) to 2 (good). The influence of gestational age (GA), field strength, placenta position, and maternal panniculus on image quality and imaging score were tested. Results 34 scans were performed at 1.5 T, 32 at 3 T. Heart position, atria and ventricles could be seen in all 66 fetuses. Basic diagnosis (&amp;gt;12 points) was achieved in 60 (90%) cases, with visualization of the IVC and SVC in 65 (98%) and 63 (95%), RVOT in 62 (94%), LVOT in 61 (92%), aortic arch in 60 (91%), DAO in 64 (97%), ductus arteriosus in 59 (89%) and thymus in 50 (76%) fetuses. The AV valves were recognised in 55 (83%), the pulmonary arteries in 35 (53%), at least one pulmonary vein in 46 (70%), the supraaortic arteries in 42 (64%), and the trachea in 59 (89%) fetuses. The mean imaging score was 16.8 +/- 3.7. Maternal panniculus (r -0.3; p 0.01) and gestational age (r 0.6; p &amp;lt; 0.001) correlated with imaging score. Field strength influenced image quality, with 1.5 T being better than 3T images (p 0.04), but not the total imaging score. Imaging score or quality were independent from placenta position. Conclusions Fetal heart MRI with a non-gated SSFP sequence in multiple planes enables recognition of basic cardiovascular anatomy. Advanced diagnostics may be limited by thick maternal panniculus, lower GA and higher field strength.

Evaluation of the image quality and dose reduction in digital radiography with an advanced spatial noise reduction algorithm in pediatric patients.

To evaluate whether the advanced spatial noise reduction (ASNR) algorithm installed in a digital radiography system generates acceptable images at a lower dose than a conventional denoising algorithm in pediatric patients. Nine sets of 30 images of pediatric patients, classified under three protocols and three age groups, were retrospectively selected. Different levels of low-dose image sets of these 270 images were generated by a noise simulation tool after validation testing using phantoms. Each image set was obtained with both the ASNR and conventional algorithm, and grouped randomly and blinded. Three experienced pediatric radiologists were asked to pick the "image with optimum dose" among images of different dose levels with an ALARA (as low as reasonably achievable) perspective. Dose reduction rates for each protocol and age group were calculated, and entrance skin exposure (ESE) was calculated using the values of kVp and mAs, assuming a standard body depth for each age group. With the ASNR algorithm, estimated dose reduction rates were highest for abdominal radiographs (45.0%, 27.3%, and 24.3% in infants, children, and adolescents, respectively, p < 0.001). The mean dose reductions for all age groups in the abdominal, chest, and skull radiographs were 32.8%, 12.9%, and 23.2%, respectively (p < 0.001). Average of the calculated ESE was lower with the ASNR algorithm than with the conventional algorithm group (p < 0.001). The ASNR algorithm facilitated optimization of image quality with a higher reduction in radiation dose than the conventional algorithm, making it more acceptable for use in pediatric patients. •ASNR algorithm in DR system improves image quality via enhanced contrast and noise removal by estimating actual noise distribution based on a multi-scale noise covariance and frequency processing. •Noise simulation tool (NST) generating images of different dose levels can be used for evaluation of the optimum dose without unnecessary additional radiation exposure to pediatric patients. •Retrospective clinical study using NST showed that the ASNR algorithm enabled a higher reduction in radiation dose than the conventional algorithm in pediatric patients.

The effectiveness of chest radiography in the diagnosis of pediatric COVID-19

Objectives: To determine the correlation between the PCR results and chest radiography findings of pediatric patients who were applied to pediatric emergency department with a suspicion of COVID-19 infection. Methods: A single-center retrospective single-blind study of patients who presented at the pediatric emergency department between 20.03.2020-15.04.2020. Patients with suspected COVID-19 infection were examined by nasopharyngeal and oropharyngeal swabs, PCR and posteroanterior (PA) chest radiographs. According to the PCR results, patients were divided into 2 groups as with (group 1) and without COVID 19 (group 2). All PA chest radiographs were evaluated by an experienced pediatric radiologist who did not know the PCR results. Results: 167 patients were included in the study. Eighty (47.9%) of patients were female and 87 (52.1%) were male. The mean age was 8.6 ± 4.85 (1 month-16 years). The most common complaints were fever (%34.7) and cough (%54.5). 50 (32.9%) patients had a exposure history, 15 (9%) had a suspicious exposure history, and 102 (61.1%) had a history of exposure with a PCR proven COVID-19 patient. In patients with a contact to a COVID-19 patient, the most common source of infection was parents (65.7%). Out of 167 patients, 44 (26.3%) were PCR positive (group 1) and 123 (73.7%) were negative (group 2). 13 (29.5%) patients in group 1 and 14 (11.4%) patients in group 2 had findings on PA chest radiography. Among patients with signs on chest radiography (27 patients); eighteen (66.7%) patients had unilateral and 9 (33.3%) patients had bilateral lesion. In 15 (55.6%) of the cases, the finding was in single focus and in 12 (44.4%) there were multiple foci. PA chest radiography findings were statistically significantly higher in group 1 compared to group 2 (p=0.008). There was no significant difference between the two groups in terms of bilateral lesion frequency and multi-focal presence (respectively, p=0,245, p=0,518). Unilateral lung findings were higher in group 1 compered to group 2 (p=0,023). The incidence of single focus was higher in the group 1 (20.4%) than group 2 (4.8%), (p=0,004). Conclusion: PA chest radiography which is widely used in all pediatric emergencies may help to diagnose COVID-19 patients with low dose radiation exposure. And this will help in rapid diagnosis and prevent unnecessary CT imaging in pediatric age group.

Can Radiology Technologists be Trained to Measure Leg Length Discrepancies as Accurately as Pediatric Radiologists?

Leg length discrepancy studies are labor intensive. They are procedurally simple and represent inefficient use of the radiologists' time and expertise. We hypothesized that radiology technologists could be trained to measure leg length discrepancies, and that their performance would be statistically equivalent to that of board-certified, fellowship-trained pediatric radiologists. Four radiology technologists were selected to participate in a supervised practice session. They independently measured and calculated leg length discrepancies on 10 randomly selected cases. Their performance was compared to measurements obtained by an experienced pediatric radiologist (reference standard). After 1 week, the technologists repeated their measurements on the same cases, which were resorted to simulate new cases. Intraclass correlation coefficients (ICC) determined interobserver agreement between the technologists and radiologist and intra-observer reliability among the technologists. Among the four technologists, similarity in measurements between session 1 and the reference standard was very high, with ICC values ranging from 0.93 to 0.98 (p < 0.001). The ICC between session 2 and the reference standard was also high, ranging from 0.93 to 0.98 (p < 0.001). Finally, among the four technologists, ICC values between session 1 and session 2 were ≥ 0.96 (p < 0.001). Radiology technologists can be rapidly trained to calculate leg length discrepancies as accurately as a board-certified pediatric radiologist. Delegation of this time-consuming task to technologists or radiology assistants will permit radiologists to spend time on more demanding studies, such as studies that require subspecialty training.

Diagnostic Performance of a New Convolutional Neural Network Algorithm for Detecting Developmental Dysplasia of the Hip on Anteroposterior Radiographs.

ObjectiveTo evaluate the diagnostic performance of a deep learning algorithm for the automated detection of developmental dysplasia of the hip (DDH) on anteroposterior (AP) radiographs.Materials and MethodsOf 2601 hip AP radiographs, 5076 cropped unilateral hip joint images were used to construct a dataset that was further divided into training (80%), validation (10%), or test sets (10%). Three radiologists were asked to label the hip images as normal or DDH. To investigate the diagnostic performance of the deep learning algorithm, we calculated the receiver operating characteristics (ROC), precision-recall curve (PRC) plots, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) and compared them with the performance of radiologists with different levels of experience.ResultsThe area under the ROC plot generated by the deep learning algorithm and radiologists was 0.988 and 0.988–0.919, respectively. The area under the PRC plot generated by the deep learning algorithm and radiologists was 0.973 and 0.618–0.958, respectively. The sensitivity, specificity, PPV, and NPV of the proposed deep learning algorithm were 98.0, 98.1, 84.5, and 99.8%, respectively. There was no significant difference in the diagnosis of DDH by the algorithm and the radiologist with experience in pediatric radiology (p = 0.180). However, the proposed model showed higher sensitivity, specificity, and PPV, compared to the radiologist without experience in pediatric radiology (p < 0.001).ConclusionThe proposed deep learning algorithm provided an accurate diagnosis of DDH on hip radiographs, which was comparable to the diagnosis by an experienced radiologist.

The use of a patient advocate to improve the experience in pediatric radiology.

There is increasing emphasis on improving the patient experience with a shift to patient- and family-centered care throughout all areas of health care. In 2013, the American College of Radiology launched Imaging 3.0, an initiative aimed at encouraging and enabling radiologists to work on culture change to increase focus on appropriateness, efficiency, quality, safety and patient satisfaction. Many groups have subsequently used these and other tools to improve the overall patient experience, focusing on the entire imaging journey to include initial order placement, registration in the department, image acquisition, departure from the department, and how and when the patient and family receive the imaging results. In our department we have used multiple strategies and have applied quality-improvement methods and patient/family-centered care models to improve quality, safety and the patient experience. Most of these efforts have included team members across the department, including radiologists, technologists, quality-improvement personnel, managers and nurses. In addition, for the last 12years, a key member of these teams has been our patient and family advocate (PFA). We describe the important role that a PFA can play in improving the patient and family experience in pediatric radiology.

Innovations for improving the patient experience in pediatric radiology.

Innovations for improving the patient experience in pediatric radiology.

Sonographic renal length and volume of normal Thai children versus their Chinese and Western counterparts.

Background Renal size is an important indicator in the diagnosis of renal diseases and urinary tract infections in children.Purpose The purpose of this study is twofold. First, it aimed to measure the renal length and calculate the renal volume of normal Thai children using 2-dimensional ultrasonography (2D-US) and study their correlations with somatic parameters. Second, it aimed to compare the age-specific renal size of normal Thai children with the published data of their Western and Chinese counterparts.Methods A total of 321 children (150 boys, 171 girls; age, 6–15 years) with a normal renal profile were prospectively recruited. All subjects underwent 2D-US by an experienced pediatric radiologist and the renal length, width, and depth were measured. Renal volume was calculated using the ellipsoid formula as recommended. The data were compared between the left and right kidneys, the sexes, and various somatic parameters. The age-specific renal lengths were compared using a nomogram derived from a Western cohort that is currently referred by many Thailand hospitals, while the renal volumes were compared with the published data of a Chinese cohort.Results No statistically significant difference (P<0.05) was found between sexes or the right and left kidneys. The renal sizes had strong correlations with height, weight, body surface area, and age but not with body mass index. The renal length of the Thai children was moderately correlated (r=0.59) with that of the Western cohort, while the age-specific renal volume was significantly smaller (P<0.05) than that of the Chinese children.Conclusion Therefore, we concluded that the age-specific renal length and volume obtained by 2D-US would vary between children in different regions and may not be suitably used as an international standard for diagnosis, although further studies may be needed to confirm our findings.

Neonatal hip ultrasound: tangent to lateral roof angle correlates better with stability than alpha angle according to Graf or percentage femoral head coverage.

The aim of this study was to determine the relationship of tangent to the lateral roof angle (TLRA), Graf's alpha angle and percentage femoral head cover (PHC) and to observed stability, and to establish intraobserver and interobserver errors for measurement of alpha angle and TLRA. In total, 2235 babies referred to the hip review clinic over a period of 8 years. Intraobserver and interobserver errors were calculated from readings of 383 hip images by an experienced paediatric radiologist and a trainee. Taking TLRA <70° as abnormal resulted in sensitivity for unstable right hips of 88% compared with 77% for alpha angle <60° (P = 0.002) and 81% for PHC <60% (P = 0.028) and specificity of TLRA 89%, alpha angle 90% (P = 0.07) and PHC 83% (P < 0.001). Corresponding figures for left hips are sensitivity of TLRA 99%, alpha angle 91% (P < 0.001) and PHC 96% (P = 0.013), and specificity TLRA 86%, alpha angle 83% (P = 0.001) and PHC 67% (P < 0.001). Mean intraobserver errors for alpha angle were 1.85° and 1.81° for consultant and trainee compared to 2.54 and 2.55 for TLRA. Mean interobserver errors were 2.22 for alpha angle and 3.42 for TLRA. TLRA, a new parameter, correlated better with observed stability with significant improvement in sensitivity in both hips and specificity in left hips compared with Graf's alpha angle, and significantly improved sensitivity and specificity in both hips compared with percentage femoral head cover.