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

BACKGROUND: 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. OBJECTIVE: To determine the accuracy of radiologists in dating birth-related clavicle fractures and compare their performance to that achieved by computer algorithm. MATERIALS AND METHODS: 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 24 days and 18 days, 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. RESULTS: 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 6.1-7.1 days, and standard deviation of the absolute error of 6.3-8.3 days. 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 4.2 days, significantly lower than all of the radiologists (P < 0.001). CONCLUSION: 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.

Prevalence of Capitellar Osteochondritis Dissecans in Children With Chronic Radial Head Subluxation and Dislocation.

OBJECTIVE: An abnormal radiocapitellar articulation may play a role in the development of capitellar osteochondritis dissecans (OCD). The objective of this study is to determine the prevalence of capitellar OCD in pediatric patients with chronic radial head subluxation (RHS) or radial head dislocation (RHD). MATERIALS AND METHODS: We searched the radiology reports generated at a large pediatric hospital between 2004 and 2012, to identify patients 8-18 years old with chronic RHS or RHD. Patients with underlying bony abnormalities that could obscure, be confused with, or increase the risk of OCD of the elbow were excluded. Two pediatric radiologists assessed images of the elbow, grading radiocapitellar alignment as follows: normal, subluxed, dislocated, or intermittently subluxed and dislocated. Readers also reviewed images to detect capitellar OCD. The differences in the prevalence of OCD noted in elbows in each category of radiocapitellar alignment were assessed. RESULTS: A total of 118 cases of chronic RHS, RHD, or both were detected in 100 patients. The radiocapitellar alignment of these cases was defined as follows: 53-58% were dislocated, 26-31% were subluxed, 14-15% were intermittently subluxed and dislocated, and less than 1% had normal alignment. There were 14 cases of capitellar OCD (11.9%). One elbow with OCD was categorized by both readers as dislocated, with the remaining 13 elbows (93%) deemed by the two readers to be either subluxed or intermittently subluxed and dislocated. The percentage of elbows with RHS that were found to have capitellar OCD was 32.3-33.3%, compared with 1.4-1.6% of elbows with RHD. CONCLUSION: The prevalence of capitellar OCD is greater in elbows with RHS than in those with RHD. This finding suggests that abnormal radiocapitellar mechanics are a factor in the development of OCD. In children with RHS and new or worsening pain, capitellar OCD should be considered, and imaging strategies should be directed toward early identification of this important and treatable condition.

Healing patterns of clavicular birth injuries as a guide to fracture dating in cases of possible infant abuse.

BACKGROUND: Dating fractures is critical in cases of suspected infant abuse. There are little scientific data to guide radiologists, and dating is generally based on personal experience and conventional wisdom. OBJECTIVE: Since birth-related clavicular fractures are not immobilized and their age is known, we propose that an assessment of these injuries may serve as a guide for dating inflicted fractures in young infants, acknowledging that patterns observed in the clavicle may not be entirely generalizable to other bones injured in the setting of abuse. MATERIALS AND METHODS: One hundred thirty-one radiographs of presumed birth-related clavicular fractures in infants between 0 and 3 months of age were reviewed by two pediatric radiologists with 30 and 15 years' experience. Readers were asked to evaluate images based on several parameters of fracture healing, with a focus on subperiosteal new bone formation (SPNBF) and callus formation. SPNBF and callus were each evaluated with regard to presence, thickness and character. Responses were correlated with known fracture ages. RESULTS: SPNBF was rarely seen in fractures less than 7 days old and was most often present by 10 days. Callus formation was rarely seen in fractures less than 9 days old and was most often present by 15 days. SPNBF thickness increased with fracture age and the character of SPNBF evolved from single-layered to solid/multilayered. Callus thickness decreased with fracture age and callus matrix evolved from soft to intermediate to hard in character. CONCLUSION: There is an evolution in clavicular fracture healing in young infants that follows a predictable pattern. These findings afford the prospect that predictable patterns of infant clavicular fracture healing can provide an evidence base that may be applicable in cases of suspected infant abuse.