윤정현 교수
Jeong-Hyun Yoon
연세대학교 영상의학과 · 의학
연구실 소개
윤정현 교수의 연구실은 초음파 유도 생검, 유방영상 진단 및 인공지능 기반 영상진단 기술의 정밀화를 핵심으로 삼고 있습니다. 특히 갑상선 및 유방 질환의 정확한 진단을 위해 초음파, 엑스레이, 유방단층촬영 등 다양한 영상 유형과 AI 알고리즘의 융합 연구를 진행하고 있으며, 임상 현장에서의 실용성과 정확성을 동시에 확보하는 데 초점을 맞추고 있습니다. 연구는 진단 정확도 향상과 의료 효율성 제고를 목표로, 다양한 경력의 영상의사가 동일한 기준으로 진단할 수 있도록 표준화된 도구 개발에도 기여하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Both TIRADS and the ATA guidelines provide effective malignancy risk stratification for thyroid nodules. Nodules that do not meet the criteria for a specific pattern with the ATA guidelines have a relatively high risk of malignancy (18.2%).
Background There is considerable interest in the potential use of artificial intelligence (AI) systems in mammographic screening. However, it is essential to critically evaluate the performance of AI before it can become a modality used for independent mammographic interpretation. Purpose To evaluate the reported standalone performances of AI for interpretation of digital mammography and digital breast tomosynthesis (DBT). Materials and Methods A systematic search was conducted in PubMed, Google
Elastography improves the specificity, positive predictive value, and accuracy of ultrasound. However, significant interobserver variability exists, with real-time elastographic performance showing fair agreement.
BACKGROUND: Although fine-needle aspiration biopsy (FNAB) is considered the standard for preoperative evaluation of thyroid nodules, the value of this has been questioned for large thyroid nodules. Here, we evaluated the diagnostic accuracy of ultrasound-guided FNAB (US-FNAB) for thyroid nodules that were 3 cm or larger as well as the sonographic differences between benign and malignant nodules in this size group. MATERIALS AND METHODS: There were 661 thyroid masses equal to or larger than 3 cm
During the past decade, researchers have investigated the use of computer-aided mammography interpretation. With the application of deep learning technology, artificial intelligence (AI)-based algorithms for mammography have shown promising results in the quantitative assessment of parenchymal density, detection and diagnosis of breast cancer, and prediction of breast cancer risk, enabling more precise patient management. AI-based algorithms may also enhance the efficiency of the interpretation
OBJECTIVES: To investigate the feasibility of a computer-aided diagnosis (CAD) system (S-Detect; Samsung Medison, Co, Ltd, Seoul, Korea) for breast ultrasonography (US), according to radiologists with various degrees of experience in breast imaging. METHODS: From December 2015 to March 2016, 119 breast masses in 116 women were included. Ultrasonographic images of the breast masses were retrospectively reviewed and analyzed by 2 radiologists specializing in breast imaging (7 and 1 years of experi
Purpose To investigate the diagnostic performances of six guidelines used to assess thyroid nodules and to determine whether any of these guidelines identify cancers of aggressive form in this population. Materials and Methods From March 2007 to February 2010, 4696 thyroid nodules that were 1-2 cm in 4585 patients were diagnosed as benign or malignant on the basis of cytopathologic results. Ultrasonographic examinations of the thyroid nodules were retrospectively reviewed and categorized accordi
BACKGROUND: Polydioxanone (PDO) sutures have been widely used to tighten and lift the face. However, why the complexion brightens and skin elasticity is maintained with a smaller facial outline after a PDO monofilament thread treatment remains unclear. AIMS: We aimed to determine what significant changes occur in the tissue over time when a PDO suture is inserted. METHODS: We selected four White Yucatan variety pygmy pigs with skin that most closely resembles the structure of human skin. 4-0 PDO
Fine needle aspiration (FNA) is currently accepted as an easy, safe, and reliable tool for the diagnosis of thyroid nodules. Nonetheless, a proportion of FNA samples are categorized into non-diagnostic or indeterminate cytology, which frustrates both the clinician and patient. To overcome this limitation of FNA, core needle biopsy (CNB) of the thyroid has been proposed as an additional diagnostic method for more accurate and decisive diagnosis for thyroid nodules of concern. In this review, we f
OBJECTIVE: The purpose of this study was to evaluate the sonographic findings of the follicular variant of papillary thyroid carcinoma (FVPTC) and to assess the role of preoperative fine-needle aspiration biopsy (FNAB). METHODS: The sonographic findings of 27 thyroid nodules in 26 patients (2 male and 24 female; mean age, 45 years) with surgically proven FVPTC were reviewed retrospectively. Findings were categorized according to the echogenicity, margin, shape, and presence of microcalcification
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