Chae Jung Park
연세대학교 의과대학 · 의학
차정파크 교수의 연구실은 영상의학과 영상생물정보학(라디오믹스)을 기반으로 뇌신경종양, 파킨슨병, 유방암 등 신경 및 종양 질환의 정밀의료를 목표로 합니다. 특히 MRI 기반 라디오믹스 특징과 기계학습 분류기를 융합하여 암의 분자형질, 치료 반응 및 신경인지 저하 위험을 예측하는 데 중점을 두고 있습니다. 임상 적용 가능성을 높이기 위해 표준화된 연구 가이드라인 준수와 임상-영상 융합 모델 개발도 지속적으로 진행 중입니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
MR imaging features integrated with machine learning classifiers may predict a subset of <i>IDH</i> wild-type lower-grade gliomas that carry molecular features of glioblastoma.
The overall scientific and reporting quality of radiomics studies on brain metastases published during the study period was insufficient. Radiomics studies should adhere to the RQS, TRIPOD, and IBSI guidelines to facilitate the translation of radiomics into the clinical field.
PURPOSE: The purpose of this study was to retrospectively investigate the reliability of breast ultrasound (US) Breast Imaging Reporting and Data System (BI-RADS) final assessment in mammographically negative patients with pathologic nipple discharge, and to determine the clinical and ultrasonographic variables associated with malignancy in this group of patients.\n\nMETHODS: A total of 65 patients with 67 mammographically negative breast lesions that were pathologically confirmed through US-gui
Cognitive impairment in Parkinson's disease (PD) severely affects patients' prognosis, and early detection of patients at high risk of dementia conversion is important for establishing treatment strategies. We aimed to investigate whether multiparametric MRI radiomics from basal ganglia can improve the prediction of dementia development in PD when integrated with clinical profiles. In this retrospective study, 262 patients with newly diagnosed PD (June 2008-July 2017, follow-up >5 years) were in
Radiomics significantly contributes added value in predicting recurrence when integrated with the clinicopathological features in patients with grade 2 meningiomas. Furthermore, the combined model can be applied to identify high-risk patients who require ART.
Iterative model reconstruction-generated low-dose CT is an alternative to standard non-low-dose CT without significantly affecting image quality for the evaluation of parotid gland tumors.
When US findings of thyroid nodules are assessed according to the 2015 ATA guidelines, nondiagnostic thyroid nodules with very-low- or low-suspicion US patterns can be followed up with US. Nondiagnostic nodules with intermediate or highly suspicious US patterns should be evaluated with repeat US-guided fine-needle aspiration biopsy.
CT-tumor depth and size could be used as independent predictors for prognosis. Preoperative CT can be used for prognostic stratification to select high risk patients for whom neoadjuvant therapies might be considered.
Contrast-enhanced 3D gradient recalled-echo was diagnostically superior in identifying neoplastic thyroid cartilage invasion compared with 2D spin-echo T1WI in patients with laryngohypopharyngeal cancer, and therefore, may provide more accurate preoperative staging.
CS may be useful for intracranial VW-MRI as it allows for larger scan coverage with slightly shorter scan time without compromising image quality.