AIMC Topic: Pituitary Diseases
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Deep learning-based image reconstruction improves radiologic evaluation of pituitary axis and cavernous sinus invasion in pituitary adenoma.
European journal of radiology
Dec 12, 2022
PURPOSE: To compare performance of 1-mm deep learning reconstruction (DLR) with 3-mm routine MRI imaging for the delineation of pituitary axis and identification of cavernous sinus invasion for pituitary macroadenoma.
Staged reflexive artificial intelligence driven testing algorithms for early diagnosis of pituitary disorders.
Clinical biochemistry
Aug 23, 2021
BACKGROUND: Sellar masses (SM) frequently present with insidious hormonal dysfunction. We previously showed that, by utilizing a combined reflex/reflecting approach involving a laboratory clinician (LC) on common endocrine test results requested by n...
Effects of gender, body weight, and blood glucose dynamics on the growth hormone response to the glucagon stimulation test in patients with pituitary disease.
Growth hormone & IGF research : official journal of the Growth Hormone Research Society and the International IGF Research Society
Dec 8, 2015
OBJECTIVE: Body weight blunts the growth hormone (GH) response to provocative stimuli. The appropriate GH cut-off to confirm GH deficiency in obese and overweight patients undergoing the glucagon stimulation test (GST) has recently been questioned. W...
Feasibility of machine learning based predictive modelling of postoperative hyponatremia after pituitary surgery.
Pituitary
Oct 1, 2020
PURPOSE: Hyponatremia after pituitary surgery is a frequent finding with potential severe complications and the most common cause for readmission. Several studies have found parameters associated with postoperative hyponatremia, but no reliable speci...
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