A unilateral septal flap based on the anterior ethmoidal artery (Castelnuovo’s flap): CT cadaver study

2016 ◽  
Vol 38 (6) ◽  
pp. 723-728 ◽  
Author(s):  
Juan R. Gras-Cabrerizo ◽  
Elena García-Garrigós ◽  
Joan M. Ademá-Alcover ◽  
Adolfo Sarandeses-Garcia ◽  
Maria Martel-Martin ◽  
...  
2006 ◽  
Vol 116 (7) ◽  
pp. 1263-1267 ◽  
Author(s):  
Stephen R. Floreani ◽  
Salil B. Nair ◽  
Michael C. Switajewski ◽  
Peter-John Wormald

1994 ◽  
Vol 81 (6) ◽  
pp. 934-936 ◽  
Author(s):  
Alok Ranjan ◽  
Thomas Joseph

✓ This forty-five-year-old woman presented with a history suggestive of an intracranial hemorrhage. Clinical examination indicated mild right pyramidal signs and neck stiffness. Computerized tomography demonstrated contrast enhancement in the region of a left frontal intraparenchymal hematoma with an adjacent subdural hematoma. Angiography revealed the presence of a giant aneurysm on the left anterior ethmoidal artery. Surgical evacuation of the hematoma with excision of the aneurysm and coagulation of the feeding artery was achieved. Postoperative recovery was uneventful. Vascular lesions of the anterior ethmoidal artery and the rarity of a giant aneurysm at this site are discussed.


2003 ◽  
Vol 117 (2) ◽  
pp. 132-133 ◽  
Author(s):  
S. A. Douglas ◽  
D. Gupta

Anterior ethmoidal artery ligation is a well-established surgical procedure in the management of epistaxis. We describe a procedure of anterior ethmoidal artery ligation via minimal access external surgery with the use of a rigid endoscope. This is, as far as we are aware, the first description of an external approach endoscopic anterior ethmoidal artery ligation.


2019 ◽  
Vol 134 (1) ◽  
pp. 52-55 ◽  
Author(s):  
J Huang ◽  
A-R Habib ◽  
D Mendis ◽  
J Chong ◽  
M Smith ◽  
...  

AbstractObjectiveDeep learning using convolutional neural networks represents a form of artificial intelligence where computers recognise patterns and make predictions based upon provided datasets. This study aimed to determine if a convolutional neural network could be trained to differentiate the location of the anterior ethmoidal artery as either adhered to the skull base or within a bone ‘mesentery’ on sinus computed tomography scans.MethodsCoronal sinus computed tomography scans were reviewed by two otolaryngology residents for anterior ethmoidal artery location and used as data for the Google Inception-V3 convolutional neural network base. The classification layer of Inception-V3 was retrained in Python (programming language software) using a transfer learning method to interpret the computed tomography images.ResultsA total of 675 images from 388 patients were used to train the convolutional neural network. A further 197 unique images were used to test the algorithm; this yielded a total accuracy of 82.7 per cent (95 per cent confidence interval = 77.7–87.8), kappa statistic of 0.62 and area under the curve of 0.86.ConclusionConvolutional neural networks demonstrate promise in identifying clinically important structures in functional endoscopic sinus surgery, such as anterior ethmoidal artery location on pre-operative sinus computed tomography.


2006 ◽  
Vol 72 (3) ◽  
pp. 303-308 ◽  
Author(s):  
Bernardo Cunha Araujo Filho ◽  
Raimar Weber ◽  
Carlos Diógenes Pinheiro Neto ◽  
Marcus Miranda Lessa ◽  
Richard Louis Voegels ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document