scholarly journals Delayed Management of Unrecognized Bilateral Temporomandibular Joint Dislocation: A Case Report

2018 ◽  
Vol 11 (2) ◽  
pp. 145-149
Author(s):  
SiokYoong Chin ◽  
Nazer Bin Berahim ◽  
Khairulzaman Bin Adnan ◽  
Sundrarajan Naidu Ramasamy
Keyword(s):  
Temporomandibular Joint ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Masticatory Muscles ◽  
Delayed Presentation ◽  
Intermaxillary Fixation ◽  
Vehicle Accident ◽  
Tmj Dislocation ◽  
Satisfactory Outcome ◽  
Tissue Changes

Temporomandibular joint (TMJ) dislocation is a common occurrence, but diagnosis can be missed if patients do not complain. Delayed presentation complicates the management of a straightforward reduction. We present a case of a 24-year-old man who had bilateral TMJ dislocation of unknown duration after motor vehicle accident. The accident left him bedridden with speech difficulty. He was totally dependent on Ryles’ and percutaneous endoscopic gastrotomy tubes for feeding. Computed tomography revealed dislocation of condyles anterior to articular eminences. The bilateral TMJ dislocations were reduced surgically via bicoronal with preauricular extension approaches. However, the surgery was challenging due to tissue changes around the joint accompanied by masticatory muscles atrophy. Postoperatively, he was placed on intermaxillary fixation for 2 weeks followed by elastics training. Three months later, the patient's mastication returned completely to function. Delayed management of bilateral TMJ dislocation is undoubtedly challenging and somewhat frustrating; nevertheless, we manage to achieve satisfactory outcome in improving the patient's quality of life.

scholarly journals Laparoscopic Repair of Diaphragmatic Rupture: A Case Report with Radiological and Surgical Correlation

2017 ◽  
Vol 2017 ◽  
pp. 1-4 ◽  
Author(s):  
Patrick Nguyen ◽  
Bonnie Davis ◽  
Daniel D. Tran
Keyword(s):  
Abdominal Trauma ◽  
Laparoscopic Repair ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Diaphragmatic Rupture ◽  
Delayed Presentation ◽  
Vehicle Accident ◽  
Chest X Ray ◽  
The Many ◽  
High Degree

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.

Virtual reality and computer games in the treatment of driving phobia induced by a motor vehicle accident

2003 ◽  
Author(s):  
David Walshe ◽  
Elizabeth Lewis ◽  
Kathleen O'Sullivan ◽  
Brenda K. Wiederhold ◽  
Sun I. Kim
Keyword(s):  
Virtual Reality ◽  
Computer Games ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Vehicle Accident

Machine Learning of Motor Vehicle Accident Categories from Narrative Data

1996 ◽  
Vol 35 (04/05) ◽  
pp. 309-316 ◽  
Author(s):  
M. R. Lehto ◽  
G. S. Sorock
Keyword(s):  
Machine Learning ◽  
Bayesian Model ◽  
Keyword Search ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Computer Search ◽  
Vehicle Accident ◽  
Learning Technique ◽  
Expert Ratings ◽  
Keyword Searches

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.

Aspirated teeth - rigid or flexible bronchoscopy

2019 ◽  
pp. 1-2
Keyword(s):  
Clinical Practice ◽  
Foreign Bodies ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Flexible Bronchoscopy ◽  
Vehicle Accident

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.

Isolated second trimester uterine rupture following a motor vehicle accident

2021 ◽  
Vol 258 ◽  
pp. 461-463
Author(s):  
Tal Margaliot Kalifa ◽  
Misgav Rottenstreich ◽  
Eyal Mazaki ◽  
Hen Y. Sela ◽  
Schwartz Alon ◽  
...  
Keyword(s):  
Uterine Rupture ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Second Trimester ◽  
Vehicle Accident

scholarly journals Obstructive Sleep Apnea and Risk of Motor Vehicle Accident

2021 ◽  
Author(s):  
Gaia S. Pocobelli ◽  
Mary A. Akosile ◽  
Ryan N. Hansen ◽  
Joanna Eavey ◽  
Robert D. Wellman ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Vehicle Accident ◽  
Obstructive Sleep
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