Motor Vehicle Accident and Alarming Chest X-ray

2004 ◽  
Vol 20 (8) ◽  
pp. 551-552
Author(s):  
Leonard E. Swischuk
2017 ◽  
Vol 2017 ◽  
pp. 1-4 ◽  
Author(s):  
Patrick Nguyen ◽  
Bonnie Davis ◽  
Daniel D. Tran

The leading cause of diaphragmatic rupture is penetrating abdominal trauma, including gunshot- and stab-related wounds; however, diaphragmatic rupture can also result from blunt trauma to the abdomen. The diagnosis can be difficult to make as the physical examination may be unremarkable, and imaging, that is, a conventional chest X-ray and/or CT imaging, may initially fail to reveal the injury. Failure to recognize diaphragmatic rupture can result in a delayed presentation, sometimes years later, with a potential catastrophic outcome. Therefore, prompt and swift diagnosis is critical to avoid this potential harmful scenario. Traditionally, repair is performed through a laparotomy or a thoracotomy incision. Owing to the many advances made in minimally invasive surgery, not only has laparoscopy become the modality of choice to diagnose diaphragmatic rupture due to its high degree of sensitivity and specificity, but it can provide simultaneous therapeutic intervention as well. We report a case of laparoscopic repair of a diaphragmatic rupture in a 22-year-old female who sustained blunt abdominal trauma during a motor vehicle accident.


2017 ◽  
Vol 32 (2) ◽  
pp. 121
Author(s):  
S. Ismanto

The objective of this study is to apply the decision-making processes for a pregnant woman who was involved in a motor vehicle accident and admitted to a private middle-class hospital in the capital of Indonesia requiring radiologic X-ray examination.  It also aims to examine and evaluate the patient who was in her 20th week of gestation in order to provide her with the best emergency care, diagnostic investigations and treatments.The descriptive, normative and prescriptive models of decision-making are demonstrated. The descriptive model used intuition, while the normative model used decision trees as decision options and lastly the prescriptive decision used the information processing theory (IPT) to decide on the best emergency care, diagnostic investigations and treatments for the patient. The IPT dominated the decision-making process; hence an X-ray examination was done that was safe for the fetus and the childbearing mother. Decision option was not used since the patient was in pain and could not understand much of the procedure that was explained.  Intuition helped in the decision-making in order to ensure safe and effective practice.


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 ◽  
...  

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