View clinical trials related to Anatomic Abnormality.
Filter by:All the data of patients with patellar dislocation will be collected to evaluate the anatomic deformities. The data includes X-ray, CT, MRI examinations, medical records, and physical examination information. Finally, we correlate the anatomic deformities with clinical efficacy. To search for the risk factors that lead to patellar dislocation and influence the therapeutic effect.
Therefore, a high number of procedures is necessary to achieve EUS competency, but interobserver agreement still varies widely. Artificial intelligence (AI) aided recognition of anatomical structures may improve the training process and inter-observer agreement. Robles-Medranda et al. developed an AI model that recognizes normal anatomical structures during linear and radial EUS evaluations. We pursue to design an external validation of our developed AI model, considering an endoscopist expert as the gold standard.
The creation of a 3D model of modal anatomy of the ethmoid could, like other parts of the body, improve anatomical, radiological and perhaps even surgical learning. Anatomical variations might constitute a "background noise" of the modal anatomy, which can be attenuated by multiplying the instances of acquisitions. The objective of this work is to establish modal anatomy of the ethmoid by the analysis of a large number of CT-scan acquisitions carried out in individuals with no acquired sinus pathology.
This study aims to examine the sonoanatomy of the inguinal region in children according to age groups.
After obtaining parental consent ultrasonographic evaluation of right internal jugular vein will be performed in pediatric patients undergoing elective surgeries between 0-2 years of age. The patients for whom central venous catheterization is indicated will be included. The success rates and outcomes of catheterization will be recorded.