Asan Medical Center
Seoul, South Korea
NCT Number: NCT04268251
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.
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Notify Me18 year and older
All sexes
Interventional
Not applicable
Seoul, South Korea
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
1-mm coronal contrast-enhanced T1 weighted image with deep learning based denoising
Time frame: Within 1 week
Presence or absence of cavernous sinus invasion determined surgically
Time frame: Within 1 week
Size of the tumor (in mm), laterality of the tumor (unilateral or bilateral) on the MRI
Time frame: Within 1 week
Margin of pituitary adenoma (well-delineated, poorly delineated) on the MRI
Asan Medical Center
Other
Prospective MRI Evaluation of Cavernous Sinus Invasion by Pituitary Adenoma Using Deep Learning Based Denoising
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