Results 241 to 250 of about 124,463 (329)

Transoral Robotic‐Assisted Removal of a Submucosal Pyriform Sinus Foreign Body

open access: yesThe Laryngoscope, EarlyView.
Submucosal foreign bodies of the medial pyriform sinus represent a challenge given limited visualization and difficult retraction with endoscopic approaches, and risk of injury to the recurrent laryngeal nerve with open approaches. We present a novel case utilizing the Da Vinci SP system for removal of an embedded fishbone from the medial pyriform ...
Elisabeth Wenneker   +4 more
wiley   +1 more source

Validation of an Endoscopic Landmark for Injection of Internal Branch of Superior Laryngeal Nerve

open access: yesThe Laryngoscope, EarlyView.
This study validates a transnasal endoscopic approach to target the internal branch of the superior laryngeal nerve (iSLN) via the piriform sinus. Cadaveric analysis showed this method enables precise localization with minimal variability, offering a promising technique for treating laryngeal sensory dysfunction.
Yuki Tanigami   +4 more
wiley   +1 more source

Splenic artery aneurysms occurring in liver transplant recipients [PDF]

open access: yes, 1991
Bronsther, O   +3 more
core   +1 more source

Pancreatic Metastasis From a Vulvar Melanoma Diagnosed by Endoscopic Ultrasound-Guided Fine-Needle Biopsy

open access: diamond
Ricardo Almeida   +5 more
openalex   +1 more source

Identification of biomarkers of human pancreatic adenocarcinomas by expression profiling and validation with gene expression analysis in endoscopic ultrasound-guided fine needle aspiration samples

open access: hybrid, 2006
Henrik Laurell   +9 more
openalex   +2 more sources

Machine Learning to Predict Extranodal Extension in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta‐Analysis

open access: yesThe Laryngoscope, EarlyView.
Machine learning algorithms (MLAs) demonstrated significantly higher diagnostic performance than radiologists in detecting extranodal extension (ENE) in head and neck squamous cell carcinoma using CT scans. This meta‐analysis of six studies found that MLAs had a pooled AUC of 0.91, whereas radiologists achieved only 0.65.
Arshbir Aulakh   +7 more
wiley   +1 more source

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