Searchable abstracts of presentations at key conferences in endocrinology

ea0092op-08-01 | Oral Session 8: Hypothyrodism / Nodules | ETA2023

Evaluation of learning methods similar to deep learning and device using deep learning for the diagnosis of thyroid nodules

Young Kwak Jin , Kim Daham , Kim Kim Youngsook , Lee Eunjung

Evaluation of learning methods similar to deep learning and device using deep learning for the diagnosis of thyroid nodules.BackgroundWe recently developed a deep convolutional neural network algorithm (SEveRance Artificial intelligence program, SERA) using 13,560 ultrasonography images of thyroid nodules labeled benign and malignant and this algorithm showed comparable diagnostic performance with experienced radiologists. We wondered whether this self-learning method of SERA ...

ea0065p281 | Neuroendocrinology | SFEBES2019

Clinical PhenClinical phenotypes of GNAS gene mutations in Korean Acromegalic Patientsotypes of GNAS gene mutations in Korean acromegalic patients

Ku Cheol Ryong , Jung Hyein , Kim Kyungwon , Kim Daham , Lee Eun Jig

Background: Guanine nucleotide-binding protein, α stimulating (GNAS) gene have been reported to be associated with GH secreting pituitary adenoma. Approximately 40% of patients with acromegaly have GNAS mutation. In this study, we investigated the prevalence of GNAS mutation in Korean acromegalic patients and assessed the correlation with the biochemical or clinical characteristics.Method: We studied acromegalic patients who underwent surgery betwee...

ea0092ps1-05-07 | Thyroid hormone diagnostics 1 | ETA2023

Real-Time assessment of the beneficial role of artifical intelligence-based computer assisted diagnosis (AI-CAD) of thyroid nodules on ultrasound

Kim Youngsook , Rho Miribi , Shin Sungjae , Lee Eunjung , Kim Daham , Young Kwak Jin

Objective: The purpose of this study is to evaluate and compare the effectiveness of artificial intelligence-based computer-assisted diagnosis (AI-CAD) in diagnosing thyroid malignancy by inexperienced physicians and experienced radiologist.Methods: A total of 201 thyroid nodules from 192 patients was simultaneously evaluated by physician and radiologist using real-time ultrasound. After implementing AI-CAD, they reassessed the thyroid nodules. If necess...

ea0056gp111 | Diabetes Translational | ECE2018

Olfactory receptor OR51E1 mediates GLP-1 secretion in enteroendocrine L cells

Ku Cheol Ryong , Han Ye Eon , Kim Daham , Hong Jae Won , Kim Sun Ho , Lee Eun Jig

Few studies have investigated the intracellular signaling pathways mediating the effects of glucagon-like peptide-1 (GLP-1) secretagogues in enteroendocrine L cells. Specific receptors, channels, and intracellular signaling proteins expressed by the L cells have only begun to be characterized. The present study aimed to investigate the role of the olfactory receptor (OR) OR51E1 in GLP-1 secretion. We verified the expression of olfactory marker protein (OMP), an indicator of OR...

ea0056gp194 | Pituitary Basic | ECE2018

Olfactory marker protein regulates prolactin secretion and production by modulating Ca2+ and TRH signaling in lactotrophs

Ku Cheol Ryong , Kang Chan Woo , Kim Daham , Hong Jae Won , Kim Sun Ho , Lee Eun Jig

Olfactory marker protein (OMP) is a marker of olfactory receptor-mediated chemoreception, even outside the olfactory system. Here, we report that OMP expression in the pituitary gland plays a role in basal and thyrotropin-releasing hormone (TRH)-induced prolactin (PRL) production and secretion. We found that OMP was expressed in human and rodent pituitary glands, especially in PRL-secreting lactotrophs. OMP knockdown in GH4 rat pituitary cells increased PRL production and secr...

ea0056p806 | Pituitary - Clinical | ECE2018

Association between prolactin level and tumor size reduction at 3 months after cabergoline treatment in patients with macroprolactinoma

Kim Daham , Lee Youngki , Park Se Hee , Park Kyeong Hye , Ryong Ku Cheol , Kim Sun Ho , Lee Eun Jig

Objectives: Prolactin (PRL) normalization after 3 months of Cabergoline (CAB) treatment are useful predictors of responsiveness in patients with prolactinoma. However, differences within the PRL normalization cut-off value have not been identified.Methods: We reviewed the medical records of patients with prolactinomas who were treated with CAB as a primary drug at Severance Hospital. We included patients who had a full dataset of pituitary hormone assays...

ea0084ps2-08-69 | Thyroid Cancer BASIC | ETA2022

Use of long noncoding rnas for molecular diagnosis of thyroid cancer

Kim Daham , Yu Juyeon , Kim Jiwon , Hwang Yoon-a , Kyong Kim Jin , Ryong Ku Cheol , Hyun Yoon Jung , Young Kwak Jin , Nam Kee-Hyun , Jig Lee Eun

Objective: Improved molecular testing for common somatic mutations and the identification of mRNA and microRNA expression classifiers are promising approaches for the diagnosis of thyroid nodules. However, there is a need to improve the diagnostic accuracy of such tests in identifying thyroid cancer. Recent findings have revealed a crucial role of lncRNAs in gene modulation. Thus, we aimed to evaluate the diagnostic value of selected lncRNAs from The Atlas of Noncoding RNAs in...

ea0056p809 | Pituitary - Clinical | ECE2018

Clinical parameters to distinguish silent corticotroph adenomas from other non-functioning pituitary adenomas

Kim Daham , Ku Cheol Ryong , Park Se Hee , Park Kyeong Hye , Moon Ju Hyung , Kim Eui Hyun , Kim Sun Ho , Lee Eun Jig

Silent corticotroph adenomas (SCAs) are difficult to distinguish from other non-functioning pituitary adenomas (NFPAs) preoperatively. This study assessed the preoperative clinical parameters associated with SCAs. After excluding patients with increased 24-h urinary free cortisol, 341 patients who underwent surgery for NFPAs during 2011–2016 with available preoperative combined pituitary function test (CPFT) and immunohistochemical staining results were enrolled. The pati...