Searchable abstracts of presentations at key conferences in endocrinology

ea0037ep1258 | Clinical Cases–Thyroid/Other | ECE2015

A rare cause of syndrome of inappropriate antidiuretic hormone

Niyazoglu Mutlu , Hatipoglu Esra , Kaya Burcugul , Gundogdu Sadi

Introduction: Acute intermittent porphyria (AIP) is an autosomal dominant disorder resulting from partial deficiency of the haeme biosynthetic enzyme porphobilinogen deaminase.Case report: A 17-year-old female presented with progressive abdominal pain. She had history of recurrent abdominal pain and darkening in urine colour. She was on lansoprazol and metaclopramide, initiated 2 days earlier. She did not have additional personal or relevant family histo...

ea0090ep716 | Pituitary and Neuroendocrinology | ECE2023

Coexistence of acromegaly and Xanthomatous Hypophysitis

Uzman Rukiye Dilara Tekin , Burhan Sebnem , Dogukan Fatih Mert , Kocak Burak , Hatipoglu Esra Suheda , Niyazoglu Mutlu

Introduction: Hypophysitis is a rare pituitary inflammation due to primary and secondary causes. Xanthomatous hypophysitis is the rarest subtype and described with lipid-laden cystic areas, transparent cytoplasmic and lipid-laden histiocytes and foamy (xanthomatous) histiocytes. Although the etiology of xanthomatous hypophysitis is not clearly known, it has been suggested to develop as a result of autoimmune cause or inflammatory process of infiltration of cyst components from...

ea0099ep569 | Pituitary and Neuroendocrinology | ECE2024

Neurosteroids and cognition in cushing disease

Burhan Sebnem , Akpınar Ebubekir , Eyupoglu Sevim , Erkan Buruc , Niyazoglu Mutlu , Hatipoglu Esra

Objective: Neurosteroids, a unique hormone group, are recognized for their impact on cognitive processes. The primary objective is to assess the correlation between cognitive function and NS levels in cases of Cushing’s disease and a control group of nonfunctional pituitary adenoma (NFPA).Design: The study comprised 26 individuals diagnosed with Cushing’s disease (CDG), while a control group (CG) consisted of 14 age-gender matched participants ...

ea0041ep629 | Endocrine tumours and neoplasia | ECE2016

Circulating levels of survivin in acromegaly

Ademoglu Esra , Candan Zehra , Gorar Suheyla , Niyazoglu Mutlu , Carlioglu Ayse , Yildiz Faruk , Baydar Idris , Sevimli Hakan , Arslan Abdulmuttalib

Introduction: Acromegaly is a chronic disorder characterized by chronic growth hormone (GH) excess. In most of cases, GH hypersecretion is derived from somatotroph cell tumors. Survivin is a member of apoptosis protein family, which was recently showed to be expressed in different benign and malignant human tumors. A number of studies showed overexpression of survivin in pituitary adenomas. This study is intended to determine circulating levels of survivin in patients with acr...

ea0035p879 | Pituitary Clinical (<emphasis role="italic">Generously supported by IPSEN</emphasis>) | ECE2014

Comprehensive geriatric assessment of elderly cases with acromegaly

Hatipoglu Esra , Yuruyen Mehmet , Keskin Ela , Niyazoglu Mutlu , Yavuzer Hakan , Doventas Alper , Erdincler Deniz Suna , Beger Tanju , Gundogdu Sadi

Introduction: We aimed to determine changes in geriatric assessment of cases with acromegaly.Methods: 26 elderly cases with acromegaly (controlled/uncontrolled: 15/11, F/M: 17/9) were included. 20 age, gender and BMI matched cases without acromegaly composed control group (CG) (F/M: 10/10). Presence of concomitant diseases and educational level were not different between the groups. Cognitive functions were evaluated with Mini Mental State Exam (MMSE), a...

ea0099ep353 | Pituitary and Neuroendocrinology | ECE2024

Diagnosing acromegaly using artificial intelligence

Burhan Sebnem , Zahit Yılmaz Mehmet , Sokmen Benginur , Tekin Uzman Dilara , Karaali Zeynep , Niyazoglu Mutlu , Hatipoglu Esra

Objective: Even with advancements in diagnostic techniques, acromegaly continues to be diagnosed late. This study aimed to employ deep learning methods to automatically identify acromegaly disease from images of faces, hands, and feet to enhance the efficiency of disease detection.Design: Cross-sectionaly single-center study with deep learningMethods: The study included 71 acromegaly patients and 65 healthy controls. All patients h...