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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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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Deep learning based denoising MR | Experimental | 1 mm slice thickness coronal contrast-enhanced T1 weighted imaging with deep learning based denoising vs. 3 mm slice thickness coronal contrast-enhanced T1 weighted imaging |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| MRI with deep learning based denoising | Diagnostic Test | 1-mm coronal contrast-enhanced T1 weighted image with deep learning based denoising |
|
| Measure | Description | Time Frame |
|---|---|---|
| Cavernous sinus invasion | Presence or absence of cavernous sinus invasion determined surgically | Within 1 week |
| Measure | Description | Time Frame |
|---|---|---|
| Size of pituitary adenoma (in mm), laterality of pituitary adenoma (unilateral or bilateral) on the MRI | Size of the tumor (in mm), laterality of the tumor (unilateral or bilateral) on the MRI | Within 1 week |
| Margin of pituitary adenoma (well-delineated, poorly delineated) on the MRI |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Ho Sung Kim, MD PhD | Asan Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Asan Medical Center | Seoul | South Korea |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 34992127 | Background | Kim M, Kim HS, Park JE, Park SY, Kim YH, Kim SJ, Lee J, Lebel MR. Thin-Slice Pituitary MRI with Deep Learning-Based Reconstruction for Preoperative Prediction of Cavernous Sinus Invasion by Pituitary Adenoma: A Prospective Study. AJNR Am J Neuroradiol. 2022 Feb;43(2):280-285. doi: 10.3174/ajnr.A7387. Epub 2022 Jan 6. |
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| ID | Term |
|---|---|
| D008279 | Magnetic Resonance Imaging |
| ID | Term |
|---|---|
| D014054 | Tomography |
| D003952 | Diagnostic Imaging |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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Margin of pituitary adenoma (well-delineated, poorly delineated) on the MRI |
| Within 1 week |