정현태 교수
Hyun-Tai Chung
서울대학교 신경외과 · 의학
연구실 소개
정현태 교수의 연구실은 뇌신경외과에서 활용되는 고정밀 방사선치료 기법, 특히 게이트지 킬러 레이저 서지컬 시스템(Gamma Knife)의 정밀도 및 임상적 안정성을 핵심으로 연구하고 있습니다. 프레임리스 방사수술의 정확도 평가, 영상 공액(이미지 공통좌표계 설정), 방사선 조절의 정확성 검증 등 기술적 정밀도 향상을 위한 다학제적 연구를 수행하며, 환자의 삶의 질 향상과 암 치료의 정밀도 향상을 목표로 하고 있습니다. 특히, 방사선 치료의 정확성과 안정성을 평가하기 위한 고도화된 펌웨어 및 하드웨어 기반 평가 프로토콜 개발에 주력하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15The long-term clinical outcomes of CN after multimodal treatment seem to be excellent. Our study suggests that treatment strategies for CN should focus on the patient's quality of life, as well as on tumor control, because of the benign nature of CN.
The aim of this study was to assess the accuracy and stability of frameless gamma knife radiosurgery (GKRS). The accuracies of the radiation isocenter and patient couch movement were evaluated by film dosimetry with a half-year cycle. Radiation isocenter assessment with a diode detector and cone-beam computed tomography (CBCT) image accuracy tests were performed daily with a vendor-provided tool for one and a half years after installation. CBCT image quality was examined twice a month with a pha
Image co-registration is used in frameless gamma knife radiosurgery (GKSRS) to assign a stereotactic coordinate system and verify patient setup before irradiation. The accuracy of co-registration with cone beam computed tomography (CBCT) images of a Gamma Knife IconTM (GK Icon) was assessed, and the effects of the region of co-registration (ROC) were studied. CBCT-to-CBCT co-registration is used for patient setup verification, and its accuracy was examined by co-registering CBCT images taken at
The gamma evaluation method was applicable to GK radiosurgery. For all test plans, planning dose distribution and film measurement met the tolerance criteria of 0.5 mm∕0.5% within the 50% isodose line which are used for marginal dose prescription.
To measure the absorbed dose rate to water and penumbra of a Gamma Knife® (GK) using a polymethyl metacrylate (PMMA) phantom. A multi-purpose PMMA phantom was developed to measure the absorbed dose rate to water and the dose distribution of a GK. The phantom consists of a hemispherical outer phantom, one exchangeable cylindrical chamber-hosting inner phantom, and two film-hosting inner phantoms. The radius of the phantom was determined considering the electron density of the PMMA such that it co
Purpose A convolution algorithm that takes into account electron‐density inhomogeneity was recently introduced to calculate dose distributions for the Gamma Knife (GK) Perfexion™ treatment planning program. The accuracies of the dose distributions computed using the convolution method were assessed using an anthropomorphic phantom and film dosimetry. Methods Absorbed‐dose distributions inside a phantom (CIRS Radiosurgery Head Phantom, Model 605) were calculated using the convolution method of th
Radiosurgery plays an important role in the management of brain metastases, which are the most common indication for such treatment in many centers. Because brain metastases are well enhanced on magnetic resonance images and show clear margins from the surrounding normal brain, they are suitable for radiosurgery. The dedicated radiosurgery machines used for treating brain metastases have different characteristics from the conventional external beam radiotherapy machines, although the same gamma
With the publication of TRS-483 in late 2017 the IAEA has established an international code of practice for reference dosimetry in small and non-standard fields based on a formalism first suggested by Alfonso et al. in 2008. However, data on beam quality correction factors ( $$k_{{Q_{msr,}}{Q_0}}^{{f_{msr,}}{f_{ref}}}$$ ) for the Leksell Gamma Knife® Perfexion™ is scarce and what little data is available was obtained under conditions not necessarily in accordance with the IAEA’s recommendations.
The authors developed a volumetric dosimetry detector system using in-house 3D-printable plastic scintillator resins. Three tumor model scintillators (TMSs) were developed using magnetic resonance images of a tumor. The detector system consisted of a TMS, an optical fiber, a photomultiplier tube, and an electrometer. The background signal, including the Cherenkov lights generated in the optical fiber, was subtracted from the output signal. The system showed 2.1% instability when the TMS was reas
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