Evaluation of Cavernous Sinus Invasion by Pituitary Adenoma Using Deep Learning Based Denoising MR
Evaluation of Cavernous Sinus Invasion by Pituitary Adenoma Using Deep Learning Based Denoising MR
Preoperative evaluation of cavernous sinus invasion by pituitary adenoma is critical for
 performing safe operation and deciding on surgical extent as well as for treatment success.
 Because of the small size of the pituitary gland and sellar fossa, determining the exact
 relationship between the pituitary adenoma and cavernous sinus can be challenging. Performing
 thin slice thickness MRI may be beneficial but is inevitably associated with increased noise
 level. By applying deep learning based denoising algorithm, diagnosis of cavernous sinus
 invasion by pituitary adenoma may be improved.
Inclusion Criteria:

 -  Patients undergoing preoperative brain MR for pituitary adenoma

 Exclusion Criteria:

 -  Patients who have any type of bioimplant activated by mechanical, electronic, or
 magnetic means (e.g., cochlear implants, pacemakers, neurostimulators, biostimulates,
 electronic infusion pumps, etc), because such devices may be displaced or malfunction

 -  Patients who are pregnant or breast feeding; urine pregnancy test will be performed on
 women of child bearing potential

 -  Poor MRI image quality due to artifacts