Ho Yeon Lee
Sungkyunkwan University · 医学
研究室紹介
Professor Ho Yeon Lee's research lab specializes in quantitative medical imaging and radiomics, focusing on the non-invasive prediction of lung cancer phenotypes and genetic profiles using advanced CT imaging. The lab investigates the radiologic features of ground-glass nodules and part-solid lung adenocarcinomas to differentiate pre-invasive, minimally invasive, and invasive subtypes, with a strong emphasis on clinical outcomes and survival prediction. Key research directions include the development of imaging biomarkers for ALK, ROS1, and RET fusion-positive lung adenocarcinomas, as well as the longitudinal assessment of interstitial lung diseases such as fibrotic IIP using serial CT. The lab integrates radiologic, pathological, and genetic data to improve precision diagnosis and treatment planning in thoracic oncology.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15When pure GGNs are greater than 15 mm in diameter with nodularity or have high pixel attenuation (>-472 HU), the nodules are more likely to be invasive adenocarcinomas. Sublobar resection with a secured safety margin and without nodal dissection is performed for HRCT-suggested pure-GGN invasive adenocarcinomas and has a 100% 5-year survival rate.
Combined interpretation of CT and direct cholangiographic images by using our revised criteria resulted in overall accuracy of 74.5% for prediction of resectability for hilar cholangiocarcinoma.
Ground-glass opacity (GGO) nodules noted at thin-section computed tomography (CT) scan have been shown to have a histopathologic relationship with atypical adenomatous hyperplasia, bronchioloalveolar carcinoma (BAC, or adenocarcinoma in situ), and adenocarcinoma with a predominant BAC component (minimally invasive adenocarcinoma). Patients harboring GGO nodules of BAC or adenocarcinoma with a predominant BAC component demonstrate negative results for malignancy at positron emission tomography. I
Quantitative analysis of preoperative CT imaging metrics can help distinguish invasive adenocarcinoma from pre-invasive or minimally invasive adenocarcinoma.
Quantitative imaging using radiomics can capture distinct phenotypic differences between tumors and may have predictive power for certain phenotypes according to specific genetic mutations. We aimed to identify the clinicoradiologic predictors of tumors with ALK (anaplastic lymphoma kinase), ROS1 (c-ros oncogene 1), or RET (rearranged during transfection) fusions in patients with lung adenocarcinoma.A total of 539 pathologically confirmed lung adenocarcinomas were included in this retrospective
Even in cases of fibrotic IIP with little honeycombing, serial CT reveals an increase in the extent of honeycombing and reticulation and a decrease in extent of GGO. Overall extent of lung fibrosis on the baseline CT examination appears predictive of survival in fibrotic IIP with little honeycombing.
Micropapillary subtype has recently been established to be a distinct marker for poor prognosis in lung adenocarcinomas. According to the current classification of lung adenocarcinomas, all subtypes are listed semiquantitatively in 5% increments. In other words, a minimal amount of the micropapillary pattern, precisely <5% of the entire tumor is disregarded. Therefore, we sought to assess the prognostic significance and survival outcomes in patients with a micropapillary pattern proportion of <5