Seung Soo Lee
Yonsei University · 医学
研究室紹介
Professor Seung Soo Lee's research lab specializes in interventional radiology and medical imaging, with a focus on image-guided interventions for hepatocellular carcinoma and prostate cancer. The lab investigates the impact of transcatheter chemoembolization techniques—particularly drug-eluting bead TACE—on vascular complications and treatment outcomes, using advanced MRI and angiographic imaging to predict disease progression. Additionally, the lab explores the clinical integration of artificial intelligence in radiology, especially for improving detection accuracy in chest radiographs. Their work bridges diagnostic imaging, interventional therapy, and predictive modeling to optimize patient outcomes.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Background Transarterial chemoembolization (TACE) of hepatocellular carcinoma (HCC) frequently causes feeding artery stenosis or occlusion that may interfere with repeated treatment. Purpose To investigate the incidence and predictors of hepatic arterial damage (HAD) after drug-eluting bead-TACE (DEB-TACE) in comparison with conventional TACE (Conv-TACE). Material and Methods We retrospectively analyzed 54 patients who underwent DEB-TACE for HCC as an initial treatment with follow-up angiography
PURPOSE: We analyzed factors associated with early recovery of continence after laparoscopic radical prostatectomy. MATERIALS AND METHODS: Among 467 patients treated with laparoscopic radical prostatectomy for localized prostate cancer between 2007 and 2012, 249 patients who underwent a preoperative urodynamic study were enrolled. The patients' age, prostate volume, preoperative serum prostate-specific antigen (PSA), Gleason score, pathologic stage, and preoperative urodynamic parameters were re
PURPOSE: To assess experience with and perceptions of clinical application of artificial intelligence (AI) to chest radiographs among doctors in a single hospital. MATERIALS AND METHODS: A hospital-wide online survey of the use of commercially available AI-based lesion detection software for chest radiographs was conducted with all clinicians and radiologists at our hospital in this prospective study. In our hospital, version 2 of the abovementioned software was utilized from March 2020 to Febru
BCG-related GP demonstrated three imaging patterns on multiparametric MRI. Contrast-enhanced T1-weighted imaging and DWI may play a role in its differential diagnosis from prostate cancer.
The purpose of this study was to investigate the utility of MRI findings after drug-eluting beads (DEB) - transcatheter arterial chemoembolization (TACE) for hepatocellular carcinoma in predicting time to progression (TTP). This study included 48 patients with 60 lesions who underwent liver MRI within 3 months after DEB-TACE. MRI was assessed for arterial enhancement pattern, late washout, arterioportal shunt, signal intensity on T2-weighted image, intratumoral septa, enhancing tissue on subtrac
The purpose of this study was to investigate the utility of MRI findings after drug-eluting beads (DEB) - transcatheter arterial chemoembolization (TACE) for hepatocellular carcinoma in predicting time to progression (TTP). This study included 48 patients with 60 lesions who underwent liver MRI within 3 months after DEB-TACE. MRI was assessed for arterial enhancement pattern, late washout, arterioportal shunt, signal intensity on T2- weighted image, intratumoral septa, enhancing tissue on subtra
주어진 값에 존재하는 불확실성을 표현하기 위하여 타입-1 퍼지값을 사용하듯이, 타입-1 퍼지값의 소속함수를 명확히 정의하기 어려운 경우에 타입-2 퍼지값을 사용할 수 있다. 타입-2 퍼지값은 타입-1 퍼지값에 비해 표현범위가 넓다는 장점이 있지만 타입-2 퍼지값의 사용을 위해서는 기존에 타입-1 퍼지값에서 정의되었던 연산들에 대한 확장된 재정의가 필요하다. 본 논문에서는 타입-2 퍼지값에 대한 비교 및 순위결정에 대한 방법을 제안하였다. 제안된 방법은 타입-2 퍼지값의 실제값과 그 실제값에 대한 가능성을 고려하여 비교결과를 산출하는 만족함수에 기반하고 있으며, 각각의 비교 및 순위결정 결과에 대한 가능성 혹은 신뢰도를 계산한다. 본 논문에서는 제안된 방법이 갖는 몇몇 특성에 대하여도 분석하였다. Type-1 fuzzy set is used to show the uncertainty in a given value. But there are many situations where it
This study evaluated the positive predictive value (PPV) of artificial intelligence (AI) in detecting pneumothorax on chest radiographs (CXRs) and its affecting factors. Patients determined to have pneumothorax on CXR by a commercial AI software from March to December 2021 were included retrospectively. The PPV was evaluated according to the true-positive (TP) and false-positive (FP) diagnosis determined by radiologists. To know the factors that might influence the results, logistic regression w
A comparison method for discrete type-2 fuzzy values is proposed in this paper. The proposed method is based on the concept of the satisfaction function that handles the ambiguity in fuzzy comparisons using the possibility distribution of actual values. Some properties of the proposed comparison method are analyzed as well.
Background and ObjectiveTo compare the incidence of febrile urinary tract infection (UTI) and bacterial identification between patients with orthotopic neobladder (ONB) and ileal conduit (IC). Materials and MethodsData of 164 patients who underwent radical cystectomy with ONB and IC for bladder cancer between January 2009 and January 2018 at our institution were analyzed. Febrile UTI observed was listed and subsequently compared. Incidence of febrile UTI, clinicopathological characteristics, and
이 연구는 제3자 지각에 미치는 정보원과 메시지 내용의 영향을 분석하기 위해자기 범주화 이론과 정교화 가능성 모델의 인지적 연결고리를 검토했다. 사드 배치 이슈를 분석 대상으로 삼고, 정보원(<조선일보> vs <한겨레>)과 메시지 편향(찬성 vs 반대)을 조작한 네 가지 기사를 피험자 집단에 각각 제시하고 이슈 태도, 정보원, 메시지 편향(논조), 인지 정교화의 관계가 제3자 지각을 유발하는 과정을 분석했다. 서울 소재 네 개 대학의 학부생 342명이 참가한 실험 결과, 정보원과 메시지 편향이 각각 활성화하는 자기 범주화를 경유하면서 제3자 지각이 발생하는 사실을 확인했다. 수용자의 인지 정교화 수준과 자기 범주화의 상호작용을 통해 제3자 지각이 어떻게 달라지는지도 함께 살펴봤다. 분석에 따르면, 정보원보다 메시지 편향에 의한 자기 범주화 경로에서 높은 수준의 인지 정교화와 결합할 때 제3자 지각의 예측력이 높아지는 것으로 나타났다. 분석 결과를 토대로자기 범주화와 정교화 가능성의