Robert G Wells1, Christine Vetter, Prakash Laud. 1. Radiology Department, MS 721, Children's Hospital of Wisconsin, 9000 W Wisconsin Ave, PO Box 1997, Milwaukee, WI 53201, USA. rwells@chw.org
Abstract
OBJECTIVE: To determine whether certain computed tomographic imaging patterns in infants and young children with intracranial hemorrhage help predict intentional compared with unintentional injuries. DESIGN: Retrospective consecutive case series over a 10-year period. PATIENTS: Two hundred ninety-three children younger than 3 years with intracranial hemorrhage. MAIN OUTCOME MEASURES: The sensitivity and specificity of computed tomographic imaging patterns for intentional head injury. SETTING: Regional pediatric medical center. RESULTS: Four variables used in the multiple logistic regression analysis for predicting intentional head injury were statistically significant (P<.05): subdural hematoma located over the cerebral convexities, hematoma within the interhemispheric subdural space, hygroma (nonhemic subdural fluid) with intracranial hemorrhage, and absence of a skull fracture with intracranial hemorrhage. The prediction model for the diagnosis of intentional head trauma using combinations of these 4 variables and a.45 probability cutoff point indicated a sensitivity of 84% (95% confidence interval, 78%-90%) and a specificity of 83% (95% confidence interval, 74%-89%). CONCLUSION: Computed tomographic imaging patterns of intracranial hemorrhage in children younger than 3 years help predict whether the injury was intentional.
OBJECTIVE: To determine whether certain computed tomographic imaging patterns in infants and young children with intracranial hemorrhage help predict intentional compared with unintentional injuries. DESIGN: Retrospective consecutive case series over a 10-year period. PATIENTS: Two hundred ninety-three children younger than 3 years with intracranial hemorrhage. MAIN OUTCOME MEASURES: The sensitivity and specificity of computed tomographic imaging patterns for intentional head injury. SETTING: Regional pediatric medical center. RESULTS: Four variables used in the multiple logistic regression analysis for predicting intentional head injury were statistically significant (P<.05): subdural hematoma located over the cerebral convexities, hematoma within the interhemispheric subdural space, hygroma (nonhemic subdural fluid) with intracranial hemorrhage, and absence of a skull fracture with intracranial hemorrhage. The prediction model for the diagnosis of intentional head trauma using combinations of these 4 variables and a.45 probability cutoff point indicated a sensitivity of 84% (95% confidence interval, 78%-90%) and a specificity of 83% (95% confidence interval, 74%-89%). CONCLUSION: Computed tomographic imaging patterns of intracranial hemorrhage in children younger than 3 years help predict whether the injury was intentional.
Authors: Dawn Saunders; Maria Raissaki; Sabah Servaes; Catherine Adamsbaum; Arabinda Kumar Choudhary; Joëlle Anne Moreno; Rick R van Rijn; Amaka C Offiah Journal: Pediatr Radiol Date: 2017-08-07
Authors: Jill R McTavish; Andrea Gonzalez; Nancy Santesso; Jennifer C D MacGregor; Chris McKee; Harriet L MacMillan Journal: BMC Pediatr Date: 2020-03-07 Impact factor: 2.125