The clinical, radiologic, ophthalmologic, and endocrine features of nine patients with the syndrome of primary empty sella turcica are described. Pneumoencephalography was diagnostic in the eight patients in whom it was performed, while the remaining case was diagnosed by computerized axial tomography. In two patients alterations of the visual fields were found, while another had a hypertensive eye fundus. Endocrine studies were normal in four patients; the following abnormalities were found in the remaining five cases: one case of partial deficiency of antidiuretic hormone associated to secondary amenorrhea, one case of functional galactorrhea, one case of lack of response of growth hormone to insulin hypoglycemia, one case of hypothalamic deficiency of the hypothalamus-pituitary-thyroid axis, and one case of panhypopituitarism. Pneumoencephalography gave the best diagnostic results but because of its dangers it must be performed only when computerized axial tomography gives negative or equivocal information and the patient is not a typical case (female sex, obese, multiparous, hypertensive, and or diabetid) in the forties.

Download full-text PDF

Source

Publication Analysis

Top Keywords

radiologic ophthalmologic
8
ophthalmologic endocrine
8
endocrine studies
8
primary empty
8
empty sella
8
sella turcica
8
computerized axial
8
axial tomography
8
case
7
[clinical radiologic
4

Similar Publications

Purpose: Differentiating between Alzheimer's disease (AD) and frontotemporal dementia (FTD) can be challenging due to overlapping cognitive and behavioral manifestations. Evidence regarding non-invasive and early-stage biomarkers remains limited. Our aim was to identify retinal biomarkers for the risk of AD and FTD in populations without dementia and explore underlying brain structural mechanisms.

View Article and Find Full Text PDF

Objective: To determine the correlation of burnout syndrome with emotional intelligence at workplace.

Methods: This cross-sectional study was conducted in six public sector hospitals of Khyber Pakhtunkhwa between June and November, 2022. Male and female clinicians from Medicine, Surgery, Obstetrics / Gynaecology, Paediatrics Medicine, Paediatric Surgery, Gastroenterology, Anesthesiology, Psychiatry, Radiology, Dermatology, Ophthalmology, Otorhinolaryngology, Nephrology, Urology, Neurology, Neurosurgery, Orthopaedics, Endocrinology, Rheumatology and Cardiology were included in the study.

View Article and Find Full Text PDF

Research Question: to describe and investigate the case of an 11-year-old boy with the concomitant pneumocephalus, subcutaneous- and orbitopalpebral emphysema after the removal of a giant meningioma. Furthermore, our aim is to discuss the findings and the pathophysiology in relation to cases found in literature.

Material And Methods: We performed a search in PubMed, Cochrane, MEDLINE and Google Scholar by the usage of the words orbital or periorbital, combined with emphysema and neurosurgery.

View Article and Find Full Text PDF

Exposure to repetitive head impacts (RHI), such as those experienced in American football, is linked to cognitive dysfunction later in life. Traumatic encephalopathy syndrome (TES) is a proposed clinical syndrome thought to be linked to neuropath-ology of chronic traumatic encephalopathy (CTE), a condition associated with RHI from football. Cognitive intra-individual variability (d-CIIV) measures test-score dispersion, indicating cognitive dysfunction.

View Article and Find Full Text PDF

A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification.

NPJ Digit Med

January 2025

Neurofibromatosis Type 1 Center and Laboratory for Neurofibromatosis Type 1 Research, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.

Deep-learning models have shown promise in differentiating between benign and malignant lesions. Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis type 1 (NF1) as an example, this study developed highly accurate MRI-based deep-learning models for the early automated screening of malignant peripheral nerve sheath tumors (MPNSTs) against complex whole-body background.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!