박기호 교수
Ki Ho Park
서울대학교 안과 · 의학
연구실 소개
박기호 교수 연구실은 망막 신경세포 손상의 조기 진단을 위한 고해상도 산성광간섭단층촬영(OCT) 기반의 매크로 영역 분석과 함께, 신경세포 보호 메커니즘에 대한 기초 연구를 병행하고 있습니다. 특히 매크로 영역의 간질층 두께 측정이 당뇨망막병증 및 녹내상 진단에 있어 기존의 주변망막 신경섬유층 두께 측정과 비교해 유사하거나 뛰어난 진단 성능을 보임을 규명하고 있으며, 열충격단백질(Hsp72)과 아연 등이 신경세포 생존에 미치는 영향에 대해서도 실험적 접근을 통해 연구하고 있습니다. 이는 녹내상의 조기 발견 및 신경보호 전략 개발에 기여할 잠재력을 지닙니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15There were no significant differences between the AUROCs for Cirrus GCIPL, RNFL, and ONH parameters, indicating that these maps have similar diagnostic potentials for glaucoma. The minimum GCIPL showed better glaucoma diagnostic performance than the other parameters at comparable specificities. However, other GCIPL parameters showed performances comparable to those of the RNFL parameters.
In cases of high myopia, the glaucoma detection ability of macular GCIPL thickness was high and comparable with that of peripapillary RNFL thickness.
There were no significant differences between the AUROCs for Cirrus and Stratus OCT, indicating that the two devices have similar diagnostic potentials in preperimetric glaucoma. After comparison with their normative databases, Cirrus OCT had generally higher sensitivities; however, this was largely at the cost of lower specificities than Stratus OCT.
PURPOSE: To investigate whether heat shock protein (Hsp) 72 is induced in retinal ganglion cells (RGCs) in experimental rat glaucoma and whether the induction of Hsp72 by heat stress or zinc (Zn(2+)) administration can increase survival of RGCs in the model. METHODS: Intraocular pressure (IOP) was elevated unilaterally in Wistar rats with argon laser irradiation of the trabecular meshwork 5 days after intracameral injection of india ink. Immunohistochemical staining for Hsp72 was performed. The
BACKGROUND/AIMS: This study aimed to investigate treatment patterns and medication adherence of glaucoma. It also identified key factors associated with non-adherence. METHODS: It was a cross-sectional, observational study. Patients who use eye-drops for ≤2 years were recruited at 15 eye clinics from March to November 2013. Data were collected through self-administered questionnaires and medical chart review. Medication adherence was evaluated using patients' self-report on pill count and define
The macular area is important to the detection of glaucomatous retinal ganglion cell (RGC) damage. Macular thickness complementary to peripapillary retinal nerve fibre layer (RNFL) thickness can well reflect glaucomatous damage, given that the macula contains more than 50% of the RGCs in a multilayered pattern and larger RGC bodies compared with their axons. Thus, macular ganglion cell thickness parameters recently have been considered to be an effective glaucoma-diagnostic tool comparable to RN
PRéCIS:: A spectral-domain optical coherence tomography (SD-OCT) based deep learning system detected glaucomatous structural change with high sensitivity and specificity. It outperformed the clinical diagnostic parameters in discriminating glaucomatous eyes from healthy eyes. PURPOSE: The purpose of this study was to assess the performance of a deep learning classifier for the detection of glaucomatous change based on SD-OCT. METHODS: Three hundred fifty image sets of ganglion cell-inner plexifo
PURPOSE: To investigate the long-term reproducibility of macular ganglion cell analysis in clinically stable glaucoma patients using spectral-domain optical coherence tomography (SD-OCT). METHODS: One hundred nine eyes of 109 clinically stable open-angle glaucoma patients with a localized retinal nerve fiber layer (RNFL) defect and a corresponding macular ganglion cell-inner plexiform layer (GCIPL) defect were included in this retrospective, longitudinal study. Clinical stability was defined as
PURPOSE: We evaluated the glaucoma detection ability of macular ganglion cell-inner plexiform layer (GCIPL) thickness measured by spectral-domain optical coherence tomography (SD-OCT) and compared it to peripapillary retinal nerve fiber layer (RNFL) thickness and optic nerve head (ONH) parameters in myopic preperimetric glaucoma (PPG). METHODS: We analyzed 353 eyes, including 67 nonmyopic preperimetric glaucomatous eyes, 182 myopic healthy eyes, and 104 myopic preperimetric glaucomatous eyes. My
대표 연구 분야
박기호 교수의 연구를 Nubint에서 더 깊이 살펴보세요
이 연구실의 논문을 앱에서 열어 AI와 함께 읽고, 핵심을 요약하고, 내 글에 인용하세요.