Objective: The artificial intelligence competition in healthcare was organized for the first time at the annual aviation, space, and technology festival (TEKNOFEST), Istanbul/Türkiye, in September 2021. In this article, the data set preparation and competition processes were explained in detail; the anonymized and annotated data set is also provided via official website for further research. Materials and Methods: Data set recorded over the period covering 2019 and 2020 were centrally screened from the e-Pulse and Teleradiology System of the Republic of Türkiye, Ministry of Health using various codes and filtering criteria. The data set was anonymized. The data set was prepared, pooled, curated, and annotated by 7 radiologists. The training data set was shared with the teams via a dedicated file transfer protocol server, which could be accessed using private usernames and passwords given to the teams under a nondisclosure agreement signed by the representative of each team. Results: The competition consisted of 2 stages. In the first stage, teams were given 192 digital imaging and communications in medicine images that belong to 1 of 3 possible categories namely, hemorrhage, ischemic, or non-stroke. Teams were asked to classify each image as either stroke present or absent. In the second stage of the competition, qualifying 36 teams were given 97 digital imaging and communications in medicine images that contained hemorrhage, ischemia, or both lesions. Among the employed methods, Unet and DeepLabv3 were the most frequently observed ones. Conclusion: Artificial intelligence competitions in healthcare offer good opportunities to collect data reflecting various cases and problems. Especially, annotated data set by domain experts is more valuable. Cite this article as: Koç U, Akçapınar Sezer E, Alper Özkaya Y, et al. Artificial intelligence in healthcare competition (TEKNOFEST-2021): Stroke data set. Eurasian J Med., 2022;54(3):248-258.

Aims: Intrathyroidal ectopic thymus (IET) is being increasingly reported in the radiology literature. Most of the reports are of individual cases or small series and prevalence and natural course of the pathology is not well known. The purpose of this study is to establish the prevalence of IET in children and report long term follow-up results.Material and methods: In 180 children who were examined by ultrasound (US) for other reasons, 7 patients were indentified with IET. Together with the other seven children who were already under follow-up for IET (diagnosed using US criteria), these 14 patients were followed up with US for 30 months. Size, shape, location, echotexture and internal echoes of the lesions were evaluated.Results: There were 16 lesions in 14 children. The most common appearance was a fusiform hypoechoic lesion, with punctate and linear internal echoes and well-defined but slightly irregular borders located posteriorly in the lower thirds of the thyroid. In follow-up, there were no changes in echotexture, shape or border. In 3 patients, the lesion became slightly smaller, in a 10-year-old boy slightly larger, and in an 11-year old boy the lesion disappeared. In a patient with bilateral lesions, one lesion slightly decreased in size.Conclusions: IET in children may be more common than thought. Its growth reflects that of a normal thymus. Awareness of this entity is important in order not to misdiagnose them, especially as papillary cancer, and to prevent unnecessary interventions.

Background: The central tegmental tract (CTT) is an extrapyramidal tract between the red nucleus and the inferior olivary nucleus which is part of the Guillain-Mollaret triangle (dentato-rubro-olivary system). Symmetric central tegmental tract hyperintensity (CTTH) is a pediatric brain magnetic resonance imaging (MRI) finding with an unclear clinical and radiological significance. Objectives: The aim of this retrospective study is to determine the radiological significance of CTTH on magnetic resonance imaging (MRI) in children. Patients and Methods: Pediatric patient’s MRI from January 2015 to January 2017 were retrospectively reviewed in this case series study. Patient records with presence of CTTH in their MRI were evaluated. Results: There were 39 out of 2981 brain MRIs with CTTH with a prevalence of 1.3%. Some CTTH lesions disappeared on follow-up. In two patients, the disappearance of CTTH temporally corresponded to clinical improvement. Also we had patients with hemolytic uremic syndrome, autoimmune hemolytic anemia, Wilson’s disease, combined immunodeficiency, Bartter syndrome, and autism. Conclusion: CTTH could be caused by a physiological maturation process or a physiological response of the cells in the central tegmental tract to a more widespread toxic/metabolic or ischemic insult in the brain. CTTH also appears to have a transient nature in some cases. Further research elucidating the pathophysiology of CTTH is needed.

Echinococcosis,radiology,epidemiology.