-
Categories
-
Pharmaceutical Intermediates
-
Active Pharmaceutical Ingredients
-
Food Additives
- Industrial Coatings
- Agrochemicals
- Dyes and Pigments
- Surfactant
- Flavors and Fragrances
- Chemical Reagents
- Catalyst and Auxiliary
- Natural Products
- Inorganic Chemistry
-
Organic Chemistry
-
Biochemical Engineering
- Analytical Chemistry
- Cosmetic Ingredient
-
Pharmaceutical Intermediates
Promotion
ECHEMI Mall
Wholesale
Weekly Price
Exhibition
News
-
Trade Service
Factors such as the preoperative size and extent of pituitary adenoma, surgical methods, and the type and quantity of implant materials used during the operation will affect the postoperative appearance of the pituitary adenoma resection site.
In a clinical setting, the thickness of an MRI image of the pituitary gland is usually 2–3 mm.
In a clinical setting, the thickness of an MRI image of the pituitary gland is usually 2–3 mm.
Image reconstruction (DLR) based on deep learning can be easily applied to the two-dimensional spin echo sequence commonly used in current clinical practice, which can reduce noise while reducing the occurrence of artifacts, thereby improving SNR and image clarity, and achieving high The spatial resolution of pituitary imaging has great potential.
Recently, a study published in the journal Radiology evaluated the use of 1mm-thickness MRI DLR (hereinafter referred to as 1mm MRI+DLR) and 3mm-thickness MRI (hereinafter referred to as 3mm MRI) in the evaluation of pituitary tumors in identifying residual tumors and cavernous sinus invasion.
Table 1 The diagnostic performance of 3-mm MRI, 1-mm MRI and 1-mm MRI+DLR in distinguishing residual tumor and cavernous sinus invasion.
The ability of 1-mm MRI+DLR to distinguish residual tumors is equivalent to that of 3-mm MRI.
Figure 46 years old, female, non-functioning pituitary adenoma resected through the sphenoid sinus approach.
In summary, in the postoperative evaluation of pituitary adenomas, the 1mm-thickness MRI deep learning reconstruction (DLR) scanning scheme is more sensitive than 3mm-thickness MRI in identifying residual tumors and cavernous sinus invasion.
In summary, in the postoperative evaluation of pituitary adenomas, the 1mm-thickness MRI deep learning reconstruction (DLR) scanning scheme is more sensitive than 3mm-thickness MRI in identifying residual tumors and cavernous sinus invasion.
Original source:
Minjae Kim , Ho Sung Kim , Hyun Jin Kim , et al.
Kim Minjae , Ho Sung Kim , Hyun Jin Kim , et Al.
Thin-Pituitary the MRI with the Slice-based Learning Deep Reconstruction: A Postoperative the Setting in the Diagnostic the Performance .
The DOI: org/10.
1148/radiol.
2020200723">10.
1148 / radiol.
2020200723 10.
1148 / radiol.
2020200723 in this message
