scholarly journals Thoracic Splenosis Mimicking Metastatic Neuroendocrine Tumor (NET)

2021 ◽  
Vol 2 (3) ◽  
pp. 84-87
Author(s):  
Nalinikumari Gandhe
Keyword(s):  
Neuroendocrine Tumor ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Somatostatin Receptors ◽  
Left Lung ◽  
Neoplasm Metastases ◽  
Ct Guided ◽  
Mesenteric Root ◽  
Gallium 68 ◽  
Metastatic Neuroendocrine Tumor

A 64-year-old man presented with abdominal pain. CT scan showed a 5mm left ureter stone, mesenteric root mass as well as a left lung pleuralbased lesion. Metastatic Neuroendocrine Tumor (NET) was suspected, hence a Gallium-68 Dotatate PET was performed. It showed intense uptake in the mesenteric mass, as well as in the pleural nodule, and no intense uptake in the liver. The liver is the most common site for small bowel NET metastasis. It is unusual to have pleural metastasis without liver metastasis. A review of this patient’s past medical history revealed a motor vehicle accident 20 years ago which required an exploratory laparotomy and splenectomy. Gallium 68 Dotatate PET scan can detect splenosis because it has somatostatin receptors. In patients with an existing neoplasm, metastases should be ruled out before confirming the diagnosis of splenosis. CT-guided biopsy of pleura nodule was performed, which confirmed the diagnosis of splenosis.

scholarly journals A Case of Lung Adenocarcinoma Originating from an Old Posttraumatic Scar in a Young Patient

2019 ◽  
Vol 2019 ◽  
pp. 1-3 ◽  
Author(s):  
Fatima Ahmed ◽  
Hassaan Yasin ◽  
Hesham E. Mohamed
Keyword(s):  
Lung Adenocarcinoma ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Left Lung ◽  
Lower Lobe ◽  
Left Lower Lobe ◽  
Pulmonary Contusion ◽  
Mediastinal Lymphadenopathy ◽  
Ct Guided ◽  
Ct Guided Biopsy

A relationship between lung scarring and cancer has been recognized for many decades but more evidence is needed to strengthen this association. A 34-year-old nonsmoker male with a history of left lower lobe lung scar secondary to a pulmonary contusion from a motor vehicle accident in 2012 was admitted with shortness of breath and cough. A computed tomography (CT) angiography of the chest demonstrated bilateral pulmonary emboli, left lower lobe mass, left lung septal thickening, and mediastinal lymphadenopathy. A CT-guided biopsy of the mass was performed, and pathology was consistent with lung adenocarcinoma. Staging work-up revealed a widely metastatic disease. The patient developed severe complications requiring hospitalization after the first cycle of chemotherapy and subsequently passed away. Lung scar carcinoma originates around peripheral scars resulting from a variety of infections, injuries, and lung diseases. It has poor prognosis because it metastasizes from relatively small lesions. Our case further endorses that lung scarring can potentially lead to the development of cancer. Furthermore, we want to highlight the need to conduct studies to determine if monitoring this patient population with periodic imaging can have a survival benefit.

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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