A5067615831- Thyroid Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Thyroid and Parathyroid Surgery
- Glioma Diagnosis and Treatment
- Brain Metastases and Treatment
- Acute Ischemic Stroke Management
- Cerebrospinal fluid and hydrocephalus
- Spinal Dysraphism and Malformations
- Head and Neck Anomalies
- Neurological disorders and treatments
- Cerebrovascular and Carotid Artery Diseases
- Parkinson's Disease Mechanisms and Treatments
- Advanced Neuroimaging Techniques and Applications
- Radiation Dose and Imaging
- Brain Tumor Detection and Classification
- Fetal and Pediatric Neurological Disorders
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Traumatic Brain Injury and Neurovascular Disturbances
- Sinusitis and nasal conditions
- Intracranial Aneurysms: Treatment and Complications
- Cardiomyopathy and Myosin Studies
- Advanced X-ray and CT Imaging
- Meningioma and schwannoma management
- Intracerebral and Subarachnoid Hemorrhage Research
Seoul National University Bundang Hospital
2020-2024
Armed Forces Capital Hospital
2024
Seoul St. Mary's Hospital
2024
Ulsan College
2017-2021
Asan Medical Center
2017-2021
University of Ulsan
2017-2021
Seoul National University
2021
Research Institute of Radiology
2020
Background Brain glymphatic dysfunction may contribute to the development of α-synucleinopathies. Yet, noninvasive imaging and quantification remain lacking. Purpose To examine function brain in isolated rapid eye movement sleep behavior disorder (RBD) its relevance phenoconversion with use diffusion-tensor (DTI) analysis along perivascular space (ALPS). Materials Methods This prospective study included consecutive participants diagnosed RBD, age- sex-matched control participants, Parkinson...
Background: Despite reports describing favorable short-term results for thermal ablation of thyroid cancer, there remains a need to evaluate long-term because its indolent characteristics. The purpose this study was the efficacy and safety ultrasound (US)-guided radiofrequency (RFA) low-risk papillary microcarcinoma (PTMC) over follow-up period more than five years. Methods: From cohort patients under surveillance after US-guided RFA primary PTMC, those with record data years were selected...
Objective: To evaluate the efficacy and safety of radiofrequency ablation (RFA) for low-risk papillary thyroid microcarcinoma (PTMC) in a large population.Materials Methods: Cases 152 biopsy-proven PTMCs from 133 patients who had undergone RFA PTMC between May 2008 January 2017 were included this study.All either high surgical risk or refused to undergo surgery.They followed up at least 6 months after initial RFA.Ultrasonography (US) computed tomography performed presence neck metastasis...
IntroductionGlymphatic dysfunction can contribute to α-synucleinopathies. We examined glymphatic function in idiopathic Parkinson's disease (PD) utilizing Diffusion Tensor Image Analysis aLong the Perivascular Space (DTI-ALPS).MethodsThis study enrolled consecutive patients diagnosed with de novo PD between June 2017 and March 2019 who underwent brain DTI concurrent 123I-2β-carbomethoxy-3β-(4-iodophenyl)-N-(3-fluoropropyl)-nortropane (123I-FP-CIT) SPECT, age- sex-matched controls. From...
Objective: To develop algorithms using convolutional neural networks (CNNs) for automatic segmentation of acute ischemic lesions on diffusion-weighted imaging (DWI) and compare them with conventional algorithms, including a thresholding-based segmentation.Materials Methods: Between September 2005 August 2015, 429 patients presenting cerebral ischemia (training:validation:test set = 246:89:94) were retrospectively enrolled in this study, which was performed under Institutional Review Board...
Accurate image interpretation of Waters’ and Caldwell view radiographs used for sinusitis screening is challenging. Therefore, we developed a deep learning algorithm diagnosing frontal, ethmoid, maxillary on both views. The datasets were selected the training validation set (n = 1403, sinusitis% 34.3%) test 132, 29.5%) by temporal separation. can simultaneously detect classify each paranasal sinus using views without manual cropping. Single- multi-view models compared. Our proposed...
Abstract The limited accessibility of medical specialists for Alzheimer’s disease (AD) can make obtaining an accurate diagnosis in a timely manner challenging and may influence prognosis. We investigated whether VUNO Med-DeepBrain AD (DBAD) using deep learning algorithm be employed as decision support service the AD. This study included 98 elderly participants aged 60 years or older who visited Seoul Asan Medical Center Korea Veterans Health Service. administered standard diagnostic...
Objective: To compare conventional sensitivity encoding (SENSE) to compressed sensing plus SENSE (CS) for highresolution magnetic resonance imaging (HR-MRI) of intracranial and extracranial arteries.Materials Methods: HR-MRI was performed in 14 healthy volunteers.Three-dimensional T1-weighted (T1WI) proton density-weighted (PD) were acquired using CS or under the same total acceleration factors (AFt)-5.5, 6.8, 9.7 T1WI 3.2, 4.0, 5.8 PD-to achieve reduced scanning times comparison with...
We developed artificial intelligence models to predict the brain metastasis (BM) treatment response after stereotactic radiosurgery (SRS) using longitudinal magnetic resonance imaging (MRI) data and evaluated prediction accuracy changes according number of sequential MRI scans. included four scans for 194 patients with BM 369 target lesions Developmental dataset. The were randomly split (8:2 ratio) training testing. For external validation, 172 from 43 62 additionally enrolled. maximum axial...