Stephen F Kralik1, Nucharin Supakul2, Isaac C Wu2, Gaspar Delso3, Rupa Radhakrishnan2, Chang Y Ho2, Karen A Eley3. 1. Department of Radiology, Texas Children's Hospital, 6701 Fannin St, Suite 470, Houston, TX, USA. steve.kralik@gmail.com. 2. Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 714 N. Senate Avenue, Indianapolis, IN, USA. 3. Department of Radiology, Addenbrooke's Hospital, University of Cambridge, Hills Road, Cambridge, CB2 0QQ, UK.
Abstract
PURPOSE: The purpose of this study was to determine the accuracy of "black bone" (BB) MRI for the detection of skull fractures in children with potential abusive head trauma. METHODS: A total of 34 pediatric patients were evaluated for potential abusive head trauma. All patients had both a non-contrast head CT (HCT) with multiplanar reformatted images and 3D volumetric reformatted images where available (gold standard) for fracture diagnosis and BB of the head with multiplanar reformatted images and 3D volumetric images. BB was performed using an ultrashort TE pointwise encoding time reduction with radial acquisition (PETRA) sequence at 1.5 T or 3 T. BB datasets were post-processed and 3D images created using Fovia's High Definition Volume Rendering® software. Two board-certified pediatric neuroradiologists independently reviewed the HCT and BB imaging, blinded to the findings from the other modality. RESULTS: Median patient age was 4 months (range 1.2-30 months). A total of 20 skull fractures in six patients (18% incidence of skull fractures) were detected on HCT. BB demonstrated 83% sensitivity (95%[CI] 36-99%), 100% specificity (95%[CI] 88-100%), 100% PPV (95%[CI] 46-100%), 97% NPV (95%[CI] 82-99%), and 97% accuracy (95%[CI] 85-99%) for diagnosis of a skull fracture. BB detected 95% (19/20) of the skull fractures detected by CT. CONCLUSION: A black bone MRI sequence may provide high sensitivity and specificity for detection of skull fractures in pediatric patients with abusive head trauma.
PURPOSE: The purpose of this study was to determine the accuracy of "black bone" (BB) MRI for the detection of skull fractures in children with potential abusive head trauma. METHODS: A total of 34 pediatric patients were evaluated for potential abusive head trauma. All patients had both a non-contrast head CT (HCT) with multiplanar reformatted images and 3D volumetric reformatted images where available (gold standard) for fracture diagnosis and BB of the head with multiplanar reformatted images and 3D volumetric images. BB was performed using an ultrashort TE pointwise encoding time reduction with radial acquisition (PETRA) sequence at 1.5 T or 3 T. BB datasets were post-processed and 3D images created using Fovia's High Definition Volume Rendering® software. Two board-certified pediatric neuroradiologists independently reviewed the HCT and BB imaging, blinded to the findings from the other modality. RESULTS: Median patient age was 4 months (range 1.2-30 months). A total of 20 skull fractures in six patients (18% incidence of skull fractures) were detected on HCT. BB demonstrated 83% sensitivity (95%[CI] 36-99%), 100% specificity (95%[CI] 88-100%), 100% PPV (95%[CI] 46-100%), 97% NPV (95%[CI] 82-99%), and 97% accuracy (95%[CI] 85-99%) for diagnosis of a skull fracture. BB detected 95% (19/20) of the skull fractures detected by CT. CONCLUSION: A black bone MRI sequence may provide high sensitivity and specificity for detection of skull fractures in pediatric patients with abusive head trauma.
Authors: Parna Eshraghi Boroojeni; Yasheng Chen; Paul K Commean; Cihat Eldeniz; Gary B Skolnick; Corinne Merrill; Kamlesh B Patel; Hongyu An Journal: Magn Reson Med Date: 2022-06-17 Impact factor: 3.737
Authors: Kamlesh B Patel; Cihat Eldeniz; Gary B Skolnick; Paul K Commean; Parna Eshraghi Boroojeni; Udayabhanu Jammalamadaka; Corinne Merrill; Matthew D Smyth; Manu S Goyal; Hongyu An Journal: J Neurosurg Pediatr Date: 2022-04-22 Impact factor: 2.713
Authors: Silke Hecht; Kimberly M Anderson; Aude Castel; John F Griffin; Adrien-Maxence Hespel; Nathan Nelson; Xiaocun Sun Journal: Front Vet Sci Date: 2021-04-22
Authors: Andrew Martin; Michael Paddock; Christopher S Johns; Jessica Smith; Ashok Raghavan; Daniel J A Connolly; Amaka C Offiah Journal: Eur Radiol Date: 2019-12-03 Impact factor: 5.315
Authors: Mateusz C Florkow; Koen Willemsen; Vasco V Mascarenhas; Edwin H G Oei; Marijn van Stralen; Peter R Seevinck Journal: J Magn Reson Imaging Date: 2022-01-19 Impact factor: 5.119
Authors: Kamlesh B Patel; Cihat Eldeniz; Gary B Skolnick; Udayabhanu Jammalamadaka; Paul K Commean; Manu S Goyal; Matthew D Smyth; Hongyu An Journal: J Neurosurg Pediatr Date: 2020-06-12 Impact factor: 2.375