1H spectroscopic imaging of acute head injury—evidence of diffuse axonal injury

1999 ◽  
Vol 8 (2) ◽  
pp. 109-115 ◽  
Author(s):  
J. M. Wild ◽  
C. S. A. Macmillan ◽  
J. M. Wardlaw ◽  
I. Marshall ◽  
J. Cannon ◽  
...  
Keyword(s):  
Head Injury ◽  
Axonal Injury ◽  
Diffuse Axonal Injury ◽  
Spectroscopic Imaging ◽  
Acute Head Injury

scholarly journals Value of MRI in paediatric closed head injury

2003 ◽  
Vol 7 (1) ◽  
pp. 38-39
Author(s):  
Savvas Andronikou ◽  
Rudolf Boeddinghaus ◽  
Chris J. Welman
Keyword(s):  
Head Injury ◽  
Index Case ◽  
Brain Mri ◽  
Axonal Injury ◽  
Diffuse Axonal Injury ◽  
Closed Head Injury ◽  
Acute Head Injury ◽  
Closed Head ◽  
The Brain ◽  
Mr Sequences

Children (and less commonly adults) with a low level of conciousness following acute head injury who have a normal CT sean are often assumed to have diffuse axonal injury of the brain. MRI may be appropriate in the subacute setting as it may demonstrate findings highly suggestive of such injury, as well as other findings not identified on CT. These findings may aid clinicians in determining prognosis. We demonstrate typical findings on various MR sequences using an index case.

scholarly journals Diffuse axonal injury in non-missile head injury.

1991 ◽  
Vol 54 (6) ◽  
pp. 481-483 ◽  
Author(s):  
J H Adams ◽  
D I Graham ◽  
T A Gennarelli ◽  
W L Maxwell
Keyword(s):  
Head Injury ◽  
Axonal Injury ◽  
Diffuse Axonal Injury

scholarly journals Evaluation of Head Injury Criteria for Injury Prediction Effectiveness: Computational Reconstruction of Real-World Vulnerable Road User Impact Accidents

2021 ◽  
Vol 9 ◽  
Author(s):  
Fang Wang ◽  
Zhen Wang ◽  
Lin Hu ◽  
Hongzhen Xu ◽  
Chao Yu ◽  
...  
Keyword(s):  
Head Injury ◽  
Real World ◽  
Head Injuries ◽  
Axonal Injury ◽  
Diffuse Axonal Injury ◽  
Road User ◽  
Injury Criteria ◽  
Brain Deformation ◽  
Vulnerable Road User ◽  
Head Injury Criteria

This study evaluates the effectiveness of various widely used head injury criteria (HICs) in predicting vulnerable road user (VRU) head injuries due to road traffic accidents. Thirty-one real-world car-to-VRU impact accident cases with detailed head injury records were collected and replicated through the computational biomechanics method; head injuries observed in the analyzed accidents were reconstructed by using a finite element (FE)-multibody (MB) coupled pedestrian model [including the Total Human Model for Safety (THUMS) head–neck FE model and the remaining body segments of TNO MB pedestrian model], which was developed and validated in our previous study. Various typical HICs were used to predict head injuries in all accident cases. Pearson’s correlation coefficient analysis method was adopted to investigate the correlation between head kinematics-based injury criteria and the actual head injury of VRU; the effectiveness of brain deformation-based injury criteria in predicting typical brain injuries [such as diffuse axonal injury diffuse axonal injury (DAI) and contusion] was assessed by using head injury risk curves reported in the literature. Results showed that for head kinematics-based injury criteria, the most widely used HICs and head impact power (HIP) can accurately and effectively predict head injury, whereas for brain deformation-based injury criteria, the maximum principal strain (MPS) behaves better than cumulative strain damage measure (CSDM0.15 and CSDM0.25) in predicting the possibility of DAI. In comparison with the dilatation damage measure (DDM), MPS seems to better predict the risk of brain contusion.

Graded model of diffuse axonal injury for studying head injury-induced cognitive dysfunction in rats

2009 ◽  
Vol 29 (2) ◽  
pp. 132-139 ◽  
Author(s):  
Katsuhiko Maruichi ◽  
Satoshi Kuroda ◽  
Yasuhiro Chiba ◽  
Masaaki Hokari ◽  
Hideo Shichinohe ◽  
...  
Keyword(s):  
Head Injury ◽  
Cognitive Dysfunction ◽  
Axonal Injury ◽  
Diffuse Axonal Injury

Coexisting Diffuse Axonal Injury (DAI) and Outcome of Severe Head Injury

1992 ◽  
pp. 37-39 ◽  
Author(s):  
Minoru Shigemori ◽  
N. Kikuchi ◽  
T. Tokutomi ◽  
S. Ochiai ◽  
S. Kuramoto
Keyword(s):  
Head Injury ◽  
Severe Head Injury ◽  
Axonal Injury ◽  
Diffuse Axonal Injury

Outcome after mild-to-moderate blunt head injury: effects of focal lesions and diffuse axonal injury

Brain Injury ◽  
2001 ◽  
Vol 15 (5) ◽  
pp. 401-412 ◽  
Author(s):  
Claus-W. Wallesch ◽  
Noreen Curio ◽  
Susanne Kutz ◽  
Stefan Jost ◽  
Claudius Bartels ◽  
...  
Keyword(s):  
Head Injury ◽  
Axonal Injury ◽  
Diffuse Axonal Injury ◽  
Focal Lesions

scholarly journals Evaluation of acute head injury by computed tomography scan in College of Medical Sciences-Teaching Hospital, Chitwan

2012 ◽  
Vol 7 (1) ◽  
pp. 36-39
Author(s):  
A Tayal ◽  
PK Chhetri
Keyword(s):  
Computed Tomography ◽  
Head Injury ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Diffuse Axonal Injury ◽  
Physical Assault ◽  
Computed Tomography Scan ◽  
Computed Tomographic ◽  
Acute Head Injury ◽  
Tomography Scan

This study was conducted to evaluate the computed tomography findings in patient with acute head injury and to emphasize the importance of computed tomography scan in head injury. One hundred consecutive patients presenting to the emergency department with head injury were evaluated by computed tomography scan of the head. Seventy five patients (75%) were male and twenty five (25%) were females. The age of the patients ranged from three to seventy years and the most affected age group was between thirty and forty (40%). The common causes of head injury were motor vehicle accident (70%), fall injury (25% ) and physical assault (5%). The most common computed tomographic findings were: cerebral contusions (52%), skull fractures (41%), intracerebral hematomas (24%), diffuse cerebral edema (23%), midline shift (18%), subdural hematomas (15%), subarachnoid hemorrhage (13%), diffuse axonal injury (8%), intraventricular hemorrhage (6%), extradural hemotomas (4%), pnemocephalus (2%) and normal scans were found in (5%). In conclusion, computed tomography is the mainstay in the imaging of head injury and helps in the patient management. DOI: http://dx.doi.org/10.3126/jcmsn.v7i1.5971 JCMSN 2011; 7(1): 36-39

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