Searchable abstracts of presentations at key conferences in endocrinology

ea0049ep1326 | Thyroid (non-cancer) | ECE2017

Which cytologic or architectural characteristics are associated with malignancy in AUS/FLUS cytologies according to subgroups?

Topaloglu Oya , Altinboga Aysegul , Cuhaci Fatma Neslihan , Aydin Cevdet , Baser Husniye , Yazicioglu Omer , Alkan Afra , Ersoy Reyhan , Cakir Bekir

Aim: Atypia/follicular lesion of undetermined significance(AUS/FLUS) is a category of thyroid cytology with features that are neither definitely benign or malignant. We aimed to determine whether specific cytologic or architectural features are associated with malignancy in AUS/FLUS category of Bethesda system according to subgroups.Methods: The specimens of patients who underwent surgery with preoperative thyroid fine neeedle aspiration (FNA) biopsies o...

ea0073aep882 | Late Breaking | ECE2021

Clinical and pathological features of thyroid cancer in adolescents and young adults

Bestepe Nagihan , Dirikoc Ahmet , Baser Husniye , Yazicioglu Omer , Aksoy Altinboga Aysegul , Topaloglu Oya , Ersoy Reyhan , Cakir Bekir

IntroductionThyroid cancer is the most common endocrine malignancy and its overall incidence has increased significantly in the last 30 years. Cancer in adolescents and young adults (AYA) is defined by the National Cancer Institute as diagnoses occurring among those aged 15 to 39 years. Thyroid cancer is the second most common cancer in the AYA population. In this study, we aimed to compare clinical, ultrasonographical, cytological and histopathological ...

ea0049ep1377 | Thyroid (non-cancer) | ECE2017

Predictive value of CHAID Algorithm in the diagnosis of malignancy in thyroid nodules with Bethesda III (AUS/FLUS) cytology

Ersoy Reyhan , Aydin Cevdet , Topaloglu Oya , Ozdemir Didem , Baser Husniye , Cuhaci Fatma Neslihan , Ali Tam Abbas , Ogmen Berna , Polat Sefika Burcak , Dellal Fatma Dilek , Dirikoc Ahmet , Bestepe Nagihan , Kilic Mehmet , Altinboga Aysegul Aksoy , Cakir Bekir

Introduction: ‘Artificial intelligence’ is an information-processing technology developed and inspired by the information processing technique of human brain. Artificial intelligence applications are used with an increasing ratio in medicine; particularly in the fields of breast cancer, radiology, cardiology, health management and drug effects analysis. There is not any study concerning thyroid diseases and artificial intelligence applications in the literature. In t...