ea0090ep774 | Pituitary and Neuroendocrinology | ECE2023
Kara Zehra
, Sulu Cem
, Demir Ahmet Numan
, Kadioglu Pinar
Objective: To test the utility of the artificial learning algorithms using magnetic resonance (MR) images of the pituitary gland in predicting the prognosis of prolactinoma.Methods: This single-center, retrospective study was conducted in the Pituitary Center of a tertiary care university hospital. A total of 224 images derived from 38 patients with treatment-refractory prolactinoma, 23 patients with prolactinoma remission and 51 healthy individuals were...