scholarly journals Accessory articulation of the cervical vertebrae transverse processes simulating a fracture: Incidental findings of an uncommon anatomical variant

2021 ◽  
pp. 20210012
Author(s):  
Natasha Naidoo ◽  
Nausheen Khan

Accessory articulation of the transverse processes of the cervical vertebrae is an extremely rare congenital anomaly. We present two cases of accessory articulation of the transverse processes of the left C5/C6 and C6/C7 cervical vertebrae. The articulation at C5/C6 was found in a 34-year-old male following a mob assault, the C6/C7 accessory articulation occurred in a 28-year-old female involved in a high velocity motor-vehicle accident. Cervical spine fractures were suspected in both cases. Recognition of this variant anatomy and differentiation from a fracture is important especially in an acute trauma setting to prevent unnecessary immobilization and inappropriate specialist referral of these patients. Our search revealed only five previously reported cases in the literature mostly occurring at the C5/C6 level. This is only the second case ever described at the C6/C7 level.

2003 ◽  
Author(s):  
David Walshe ◽  
Elizabeth Lewis ◽  
Kathleen O'Sullivan ◽  
Brenda K. Wiederhold ◽  
Sun I. Kim

1996 ◽  
Vol 35 (04/05) ◽  
pp. 309-316 ◽  
Author(s):  
M. R. Lehto ◽  
G. S. Sorock

Abstract:Bayesian inferencing as a machine learning technique was evaluated for identifying pre-crash activity and crash type from accident narratives describing 3,686 motor vehicle crashes. It was hypothesized that a Bayesian model could learn from a computer search for 63 keywords related to accident categories. Learning was described in terms of the ability to accurately classify previously unclassifiable narratives not containing the original keywords. When narratives contained keywords, the results obtained using both the Bayesian model and keyword search corresponded closely to expert ratings (P(detection)≥0.9, and P(false positive)≤0.05). For narratives not containing keywords, when the threshold used by the Bayesian model was varied between p>0.5 and p>0.9, the overall probability of detecting a category assigned by the expert varied between 67% and 12%. False positives correspondingly varied between 32% and 3%. These latter results demonstrated that the Bayesian system learned from the results of the keyword searches.


Tracheobronchial foreign bodies are a common problem in clinical practice. We present the case of a patient with three aspirated teeth following a motor vehicle accident.


Author(s):  
Tal Margaliot Kalifa ◽  
Misgav Rottenstreich ◽  
Eyal Mazaki ◽  
Hen Y. Sela ◽  
Schwartz Alon ◽  
...  

2021 ◽  
Author(s):  
Gaia S. Pocobelli ◽  
Mary A. Akosile ◽  
Ryan N. Hansen ◽  
Joanna Eavey ◽  
Robert D. Wellman ◽  
...  

2002 ◽  
Vol 79 (Supplement) ◽  
pp. 91
Author(s):  
Jeffrey Roth ◽  
Khadija Shahid ◽  
Jerome Sherman ◽  
Jeffrey Cooper

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