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The radiology report in a case of suspected child abuse is both a medical and a legal document. Such reports should be thorough, specific, well-constructed and without error. Structured templates and standardized reporting contribute to completeness, consistency and communication. Here, the authors discuss common reporting errors. Radiologists should be prepared that the radiology report in a case of suspected child abuse is likely to be used in court.

Ehlers-Danlos syndrome is a real diagnosis that is erroneously used to explain multiple fractures in suspected child abuse. This paper reviews the clinical and molecular diagnostic criteria for Ehlers-Danlos syndrome. This knowledge can help prevent misdiagnosis and support clinicians when evaluating infants and young children with multiple fractures.

Please see the Editorial Comment by Katya Rozovsky discussing this article. BACKGROUND. Costochondral junction (CCJ) rib fractures pose a challenge in the radiographic detection and dating of infan...

PURPOSE: To evaluate the efficacy of convolutional neural networks (CNNs) to improve the image quality of low-dose pediatric abdominal CT images. MATERIALS AND METHODS: Images from 11 pediatric abdominal CT examinations acquired between June and July 2018 were reconstructed with filtered back projection (FBP) and an iterative reconstruction (IR) algorithm. A residual CNN was trained using the FBP image as the input and the difference between FBP and IR as the target such that the network was able to predict the residual image and simulate the IR. CNN-based postprocessing was applied to 20 low-dose pediatric image datasets acquired between December 2016 and December 2017 on a scanner limited to reconstructing FBP images. The FBP and CNN images were evaluated based on objective image noise and subjective image review by two pediatric radiologists. For each of five features, readers rated images on a five-point Likert scale and also indicated their preferred series. Readers also indicated their “overall preference” for CNN versus FBP. Preference and Likert scores were analyzed for individual and combined readers. Interreader agreement was assessed. RESULTS: The CT number remained unchanged between FBP and CNN images. Image noise was reduced by 31% for CNN images (P < .001). CNN was preferred for overall image quality for individual and combined readers. For combined Likert scores, at least one of the two score types (Likert or binary preference) indicated a significant favoring of CNN over FBP for low contrast, image noise, artifacts, and high contrast, whereas the reverse was true for spatial resolution. CONCLUSION: FBP images can be improved in image space by a well-trained CNN, which may afford a reduction in dose or improvement in image quality on scanners limited to FBP reconstruction. © RSNA, 2019

Background Contrast-enhanced MRI of the small bowel is an effective imaging sequence for the detection and characterization of disease burden in pediatric Crohn's disease (CD). However, visualization and quantification of disease burden requires scrolling back and forth through 3D images to follow the anatomy of the bowel, and it can be difficult to fully appreciate the extent of disease. Purpose To develop and evaluate a method that offers better visualization and quantitative assessment of CD from MRI. Study type Retrospective. Population Twenty-three pediatric patients with CD. Field strength/sequence 1.5T MRI system and T1 -weighted postcontrast VIBE sequence. Assessment The convolutional neural network (CNN) segmentation of the bowel's lumen, wall, and background was compared with manual boundary delineation. We assessed the reproducibility and the capability of the extracted markers to differentiate between different levels of disease defined after a consensus review by two experienced radiologists. Statistical tests The segmentation algorithm was assessed using the Dice similarity coefficient (DSC) and boundary distances between the CNN and manual boundary delineations. The capability of the extracted markers to differentiate between different disease levels was determined using a t-test. The reproducibility of the extracted markers was assessed using the mean relative difference (MRD), Pearson correlation, and Bland-Altman analysis. Results Our CNN exhibited DSCs of 75 ± 18%, 81 ± 8%, and 97 ± 2% for the lumen, wall, and background, respectively. The extracted markers of wall thickness at the location of min radius (P = 0.0013) and the median value of relative contrast enhancement (P = 0.0033) could differentiate active and nonactive disease segments. Other extracted markers could differentiate between segments with strictures and segments without strictures (P 3 times superior when computed on curved planar reformatting images compared with the conventional scheme. Data conclusion The results of this study show that the newly developed method is efficient for visualization and assessment of CD. Level of evidence 4 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1565-1576.

Objective Critically ill children with congenital heart disease (CHD) are at risk for metabolic bone disease (MBD) and bone fractures. Our objective was to characterize a cohort of CHD patients with fractures and describe a Fragile Bone Protocol (FBP) developed to reduce fractures. Design/Setting Patients who developed fractures in the Cardiac Intensive Care Unit (CICU) of Boston Children's Hospital from 3/2008 to 6/2014 were identified via quality improvement and radiology databases. The FBP (initiated July 2011) systematically identifies patients at risk for MBD and prescribes special handling precautions. Results Twenty-three fractures were identified in 15 children. Median age at fracture identification was 6.2 months, with a median duration of hospitalization before fracture diagnosis of 2.7 months. Six patients (40%) had single ventricle CHD. Hyperparathyroidism and low 25-OH vitamin D levels were present in 77% and 40% of those tested, respectively. Compared with patients not diagnosed with fractures, fracture patients had increased exposure to possible risk factors for MBD and had elevated parathyroid and decreased calcitriol levels.Six patients (40%) did not survive to hospital discharge, compared with an overall CICU mortality rate of 2.6% (P < .01). The fracture case rate before implementation of the FBP was 2.6 cases/1000 admissions and was 0.7/1000 after implementation of the FBP (P = .04). Conclusions Critically ill CHD patients are at risk for fractures. They represent a complex group who frequently has hyperparathyroidism and decreased calcitriol levels, and each may predispose to fractures. FBPs consisting of identification and careful patient handling should be considered in at-risk patients.

To determine if rickets is present in cases of infant homicide with classic metaphyseal lesions (CMLs) and other skeletal injuries.This study was exempt from the institutional human subjects board review because all infants were deceased. An archival review (1984-2012) was performed of the radiologic and histopathologic findings of 46 consecutive infant fatalities referred from the state medical examiner's office for the evaluation of possible child abuse. Thirty infants with distal femoral histologic material were identified. Additional inclusion criteria were as follows: (a) The medical examiner determined that the infant had sustained a head injury and that the manner of death was a homicide, (b) at least one CML was evident at skeletal survey, (c) CMLs were confirmed at autopsy, and (d) non-CML fractures were also present. Nine infants (mean age, 3.9 months; age range, 1-9 months) were identified. Two pediatric radiologists independently reviewed the skeletal surveys for rachitic changes at the wrists and knees. A bone and soft tissue pathologist reviewed the distal femoral histologic slices for rickets.There were no radiographic or pathologic features of rickets in the cohort.The findings provide no support for the view that the CML is due to rickets. Rather, they strengthen a robust literature that states that the CML is a traumatic injury commonly encountered in physically abused infants.

Purpose: To evaluate the effect of the spatially constrained incoherent motion (SCIM) method on improving the precision and robustness of fast and slow diffusion parameter estimates from diffusion-weighted MRI in liver and spleen in comparison to the independent voxel-wise intravoxel incoherent motion (IVIM) model. Methods: We collected diffusion-weighted MRI (DW-MRI) data of 29 subjects (5 healthy subjects and 24 patients with Crohn’s disease in the ileum). We evaluated parameters estimates’ robustness against different combinations of b-values (i.e., 4 b-values and 7 b-values) by comparing the variance of the estimates obtained with the SCIM and the independent voxel-wise IVIM model. We also evaluated the improvement in the precision of parameter estimates by comparing the coefficient of variation (CV) of the SCIM parameter estimates to that of the IVIM. Results: The SCIM method was more robust compared to IVIM (up to 70% in liver and spleen) for different combinations of b-values. Also, the CV values of the parameter estimations using the SCIM method were significantly lower compared to repeated acquisition and signal averaging estimated using IVIM, especially for the fast diffusion parameter in liver (CVIV IM = 46.61 ± 11.22, CVSCIM = 16.85 ± 2.160, p < 0.001) and spleen (CVIV IM = 95.15 ± 19.82, CVSCIM = 52.55 ± 1.91, p < 0.001). Conclusions: The SCIM method characterizes fast and slow diffusion more precisely compared to the independent voxel-wise IVIM model fitting in the liver and spleen.

The distal tibia is a common location for the classic metaphyseal lesion (CML). Prior radiologic-pathologic studies have suggested a tendency for medial, as opposed to lateral, cortical injury with the CML, but there has been no formal study of the geographic distribution of this strong indicator of abuse. This study compares medial versus lateral cortical involvement of distal tibial CMLs in a clinical cohort of infants with suspected abuse. Reports of 1,020 skeletal surveys performed for suspected abuse (July 2005-June 2016) were reviewed. Twenty-six distal tibial CMLs (14 unilateral, 6 bilateral) with anteroposterior (AP) and lateral projections on the initial skeletal survey and at least an AP view on the follow-up survey were identified in 20 infants. Two blinded pediatric radiologists determined if the medial and/or lateral margins of the distal tibial metaphysis were involved by the CML. Average interreader absolute agreement and kappa scores were 0.69-0.90 and 0.45-0.72, respectively. Average intrareader absolute agreement and kappa scores were 0.65-0.88 and 0.44-0.57, respectively. Analyses showed that the distal tibial CML almost always involved the medial cortical margin (reader 1=89%, reader 2=88%, pooled=89%) and the fracture infrequently involved the lateral cortical margin (reader 1=12%, reader 2=38%, pooled=26%). The percentage point difference between fracture involvement in medial and lateral margins was statistically significant from zero (P

Quantitative diffusion-weighted MR imaging (DW-MRI) of the body enables characterization of the tissue microenvironment by measuring variations in the mobility of water molecules. The diffusion signal decay model parameters are increasingly used to evaluate various diseases of abdominal organs such as the liver and spleen. However, previous signal decay models (i.e., mono-exponential, bi-exponential intra-voxel incoherent motion (IVIM) and stretched exponential models) only provide insight into the average of the distribution of the signal decay rather than explicitly describe the entire range of diffusion scales. In this work, we propose a probability distribution model of incoherent motion that uses a mixture of Gamma distributions to fully characterize the multi-scale nature of diffusion within a voxel. Further, we improve the robustness of the distribution parameter estimates by integrating spatial homogeneity prior into the probability distribution model of incoherent motion (SPIM) and by using the fusion bootstrap solver (FBM) to estimate the model parameters. We evaluated the improvement in quantitative DW-MRI analysis achieved with the SPIM model in terms of accuracy, precision and reproducibility of parameter estimation in both simulated data and in 68 abdominal in-vivo DW-MRIs. Our results show that the SPIM model not only substantially reduced parameter estimation errors by up to 26%; it also significantly improved the robustness of the parameter estimates (paired Student's t-test, p < 0.0001) by reducing the coefficient of variation (CV) of estimated parameters compared to those produced by previous models. In addition, the SPIM model improves the parameter estimates reproducibility for both intra- (up to 47%) and inter-session (up to 30%) estimates compared to those generated by previous models. Thus, the SPIM model has the potential to improve accuracy, precision and robustness of quantitative abdominal DW-MRI analysis for clinical applications.

Non-invasive characterization of water molecule's mobility variations by quantitative analysis of diffusion-weighted MRI (DW-MRI) signal decay in the abdomen has the potential to serve as a biomarker in gastrointestinal and oncological applications. Accurate and reproducible estimation of the signal decay model parameters is challenging due to the presence of respiratory, cardiac, and peristalsis motion. Independent registration of each b-value image to the b-value=0 s/mm(2) image prior to parameter estimation might be sub-optimal because of the low SNR and contrast difference between images of varying b-value. In this work, we introduce a motion-compensated parameter estimation framework that simultaneously solves image registration and model estimation (SIR-ME) problems by utilizing the interdependence of acquired volumes along the diffusion weighting dimension. We evaluated the improvement in model parameters estimation accuracy using 16 in-vivo DW-MRI data sets of Crohn's disease patients by comparing parameter estimates obtained using the SIR-ME model to the parameter estimates obtained by fitting the signal decay model to the acquired DW-MRI images. The proposed SIR-ME model reduced the average root-mean-square error between the observed signal and the fitted model by more than 50%. Moreover, the SIR-ME model estimates discriminate between normal and abnormal bowel loops better than the standard parameter estimates.

Introduction Infants and children with metabolic bone diseases are at increased risk of fractures. Demineralization is an observation that alerts the radiologist to the possibility of an underlying disturbance of calcium and phosphorus metabolism. Demineralization or osteopenia are descriptive (qualitative) terms that can be seen in a variety of conditions causing osteoporosis or osteomalacia; for purposes of simplicity, they will be used interchangeably in this chapter (1–4). In osteoporosis there is normal mineralization of physeal cartilage (see Chapters 1 and 2); the demineralization is due to decrease osteoid matrix. However, the diagnosis of osteoporosis in children requires the presence of a clinically significant fracture and low bone mineral content (BMC) and the term “decreased osteoid matrix” is preferred by some (5). Osteomalacia occurs when there is lack of minerals available for adequate mineralization of osteoid matrix and, thus, there is an accumulation of unmineralized bone matrix. Rickets occurs when the endochondral mineralization at the physes is disturbed, leading to the characteristic pathologic and radiographic findings to be described. Rickets is associated with osteomalacia in children; osteomalacia alone is found once the physes have fused (Fig. 8.1). The most common cause of osteomalacia in children is vitamin D deficiency rickets but there are several other forms of the disease including hypophosphatemic rickets (vitamin D-resistant rickets) and disorders of vitamin D synthesis and/or action. This chapter focuses on osteomalacia and rickets in the infants and young children where the primary manifestations of the metabolic disturbance (metaphyseal irregularities) and superimposed fractures are relevant to the differential diagnosis of abuse. Rickets is also discussed elsewhere in the context of miscellaneous form of abuse and neglect (see Chapter 23).

Critically ill children with congenital heart disease (CHD) are at risk for metabolic bone disease (MBD) and bone fractures. Our objective was to characterize a cohort of CHD patients with fractures and describe a Fragile Bone Protocol (FBP) developed to reduce fractures.Patients who developed fractures in the Cardiac Intensive Care Unit (CICU) of Boston Children's Hospital from 3/2008 to 6/2014 were identified via quality improvement and radiology databases. The FBP (initiated July 2011) systematically identifies patients at risk for MBD and prescribes special handling precautions.Twenty-three fractures were identified in 15 children. Median age at fracture identification was 6.2 months, with a median duration of hospitalization before fracture diagnosis of 2.7 months. Six patients (40%) had single ventricle CHD. Hyperparathyroidism and low 25-OH vitamin D levels were present in 77% and 40% of those tested, respectively. Compared with patients not diagnosed with fractures, fracture patients had increased exposure to possible risk factors for MBD and had elevated parathyroid and decreased calcitriol levels.Six patients (40%) did not survive to hospital discharge, compared with an overall CICU mortality rate of 2.6% (P.01). The fracture case rate before implementation of the FBP was 2.6 cases/1000 admissions and was 0.7/1000 after implementation of the FBP (P = .04).Critically ill CHD patients are at risk for fractures. They represent a complex group who frequently has hyperparathyroidism and decreased calcitriol levels, and each may predispose to fractures. FBPs consisting of identification and careful patient handling should be considered in at-risk patients.

To evaluate the effect of the spatially constrained incoherent motion (SCIM) method on improving the precision and robustness of fast and slow diffusion parameter estimates from diffusion-weighted MRI in liver and spleen in comparison to the independent voxel-wise intravoxel incoherent motion (IVIM) model.We collected diffusion-weighted MRI (DW-MRI) data of 29 subjects (5 healthy subjects and 24 patients with Crohn's disease in the ileum). We evaluated parameters estimates' robustness against different combinations of b-values (i.e., 4 b-values and 7 b-values) by comparing the variance of the estimates obtained with the SCIM and the independent voxel-wise IVIM model. We also evaluated the improvement in the precision of parameter estimates by comparing the coefficient of variation (CV) of the SCIM parameter estimates to that of the IVIM.The SCIM method was more robust compared to IVIM (up to 70% in liver and spleen) for different combinations of b-values. Also, the CV values of the parameter estimations using the SCIM method were significantly lower compared to repeated acquisition and signal averaging estimated using IVIM, especially for the fast diffusion parameter in liver (CVIV IM = 46.61 ± 11.22, CVSCIM = 16.85 ± 2.160, p0.001) and spleen (CVIV IM = 95.15 ± 19.82, CVSCIM = 52.55 ± 1.91, p0.001).The SCIM method characterizes fast and slow diffusion more precisely compared to the independent voxel-wise IVIM model fitting in the liver and spleen.