caa a22 4500 606171770 CHVBK 20210128100724.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s10140-015-1300-2 doi (NATIONALLICENCE)springer-10.1007/s10140-015-1300-2 Skull fractures in pediatric patients on computerized tomogram: comparison between routing bone window images and 3D volume-rendered images [Elektronische Daten] [Sathish Dundamadappa, Senthur Thangasamy, Nancy Resteghini, Srinivasan Vedantham, Andrew Chen, Deepak Takhtani] Skull fracture is a common finding following head trauma. It has a prognostic significance and its presence points to severe trauma. Additionally, there is a greater possibility of detecting associated small underlying extra-axial hematomas and subtle injuries to the brain parenchyma. In pediatric patients, the presence of multiple open sutures often makes fracture evaluation challenging. In our experience, 3D volume (3DV)-rendered CT images complement routine axial bone window (RBW) images in detection and characterization of fractures. This is a multi-reader, multi-case, paired retrospective study to compare the sensitivity and specificity of RBW and 3DV images in detection of calvarial fractures in pediatric patients. A total of 60 cases (22 with fractures and 38 without) were analyzed. Two experienced neuroradiologists and a radiology trainee were the readers of the study. For all readers, the sensitivity was not statistically different between the RBW and the 3DV interpretations. For each reader, there was a statistically significant difference in the interpretation times between the RBW and the 3DV viewing formats. A greater number of sutural diastasis was identified on 3DV. We propose that 3DV images should be part of routine head trauma imaging, especially in the pediatric age group. It requires minimal post-processing time and no additional radiation. Furthermore, 3DV images help in reducing the interpretation time and also enhance the ability of the radiologist to characterize the calvarial fractures. American Society of Emergency Radiology, 2015 Skull fracture nationallicence CT nationallicence 3D volume rendered imaging nationallicence Dundamadappa Sathish University of Massachusetts, 55 Lake Avenue North, 01655, Worcester, MA, USA aut Thangasamy Senthur University Hospital Coventry and Warwickshire, Coventry, UK aut Resteghini Nancy University of Massachusetts, 55 Lake Avenue North, 01655, Worcester, MA, USA aut Vedantham Srinivasan University of Massachusetts, 55 Lake Avenue North, 01655, Worcester, MA, USA aut Chen Andrew University of Massachusetts, 55 Lake Avenue North, 01655, Worcester, MA, USA aut Takhtani Deepak University of Massachusetts, 55 Lake Avenue North, 01655, Worcester, MA, USA aut Emergency Radiology Springer Berlin Heidelberg 22/4(2015-08-01), 367-372 1070-3004 22:4<367 2015 22 10140 https://doi.org/10.1007/s10140-015-1300-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10140-015-1300-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Dundamadappa Sathish University of Massachusetts, 55 Lake Avenue North, 01655, Worcester, MA, USA aut NATIONALLICENCE 700 1- Thangasamy Senthur University Hospital Coventry and Warwickshire, Coventry, UK aut NATIONALLICENCE 700 1- Resteghini Nancy University of Massachusetts, 55 Lake Avenue North, 01655, Worcester, MA, USA aut NATIONALLICENCE 700 1- Vedantham Srinivasan University of Massachusetts, 55 Lake Avenue North, 01655, Worcester, MA, USA aut NATIONALLICENCE 700 1- Chen Andrew University of Massachusetts, 55 Lake Avenue North, 01655, Worcester, MA, USA aut NATIONALLICENCE 700 1- Takhtani Deepak University of Massachusetts, 55 Lake Avenue North, 01655, Worcester, MA, USA aut NATIONALLICENCE 773 0- Emergency Radiology Springer Berlin Heidelberg 22/4(2015-08-01), 367-372 1070-3004 22:4<367 2015 22 10140