Zobrazeno 1 - 10 of 13 pro vyhledávání: '"Chang-Bae Ko"'
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Akademický článek
Treatment outcomes of stereotactic body radiation therapy for primary and metastatic sarcoma of the spine
Autor: Eunji Kim, Mi-Sook Kim, Eun Kyung Paik, Ung-Kyu Chang, Chang-Bae Kong
Publikováno v: Radiation Oncology, Vol 18, Iss 1, Pp 1-8 (2023)
Abstract Purpose This study evaluated the treatment outcomes of spine stereotactic body radiation therapy (SBRT) in sarcoma patients. Materials and methods A total of 44 sarcoma patients and 75 spinal lesions (6 primary tumors, 69 metastatic tumors)
Externí odkaz: https://doaj.org/article/26b03d1969754f8f88f0572694876de0
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효율적인 정보 저장과 활용을 극대화하기 위한 IoE 서비스 프로세스 연구
Autor: Young-Hyun Chang, Chang Bae Ko, Sang Yeob Oh
Publikováno v: The Journal of the Institute of Webcasting Internet and Telecommunication. 15:31-35
The IoE service process for maximizing efficiency of information storage and utilization classifies in step five which are interconnected, data collection, storage, organize, analyze, and share. Two key processing elements are store and forward. Keep
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ec3d4cef1649e9f308efd6a92ccb04cc
https://doi.org/10.7236/jiibc.2015.15.6.31
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8
Akademický článek
Early response monitoring of neoadjuvant chemotherapy using [18F]FDG PET can predict the clinical outcome of extremity osteosarcoma
Autor: Inki Lee, Byung Hyun Byun, Ilhan Lim, Byung Il Kim, Chang Woon Choi, Jae-Soo Koh, Won Seok Song, Wan Hyeong Cho, Chang-Bae Kong, Sang Moo Lim
Publikováno v: EJNMMI Research, Vol 10, Iss 1, Pp 1-9 (2020)
Abstract Background To propose a personalized therapeutic approach in osteosarcoma treatment, we assessed whether sequential [18F]FDG PET/CT (PET/CT) could predict the outcome of patients with osteosarcoma of the extremities after one cycle and two c
Externí odkaz: https://doaj.org/article/f7e1228371dd4e81a8fe9e2e032b964b
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9
Akademický článek
Prediction of Neoadjuvant Chemotherapy Response in Osteosarcoma Using Convolutional Neural Network of Tumor Center 18F-FDG PET Images
Autor: Jingyu Kim, Su Young Jeong, Byung-Chul Kim, Byung-Hyun Byun, Ilhan Lim, Chang-Bae Kong, Won Seok Song, Sang Moo Lim, Sang-Keun Woo
Publikováno v: Diagnostics, Vol 11, Iss 11, p 1976 (2021)
We compared the accuracy of prediction of the response to neoadjuvant chemotherapy (NAC) in osteosarcoma patients between machine learning approaches of whole tumor utilizing fluorine−18fluorodeoxyglucose (18F-FDG) uptake heterogeneity features and
Externí odkaz: https://doaj.org/article/0b57af5f79e040f6b970464abd406295
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10
Akademický článek
Metastasis risk prediction model in osteosarcoma using metabolic imaging phenotypes: A multivariable radiomics model.
Autor: Heesoon Sheen, Wook Kim, Byung Hyun Byun, Chang-Bae Kong, Won Seok Song, Wan Hyeong Cho, Ilhan Lim, Sang Moo Lim, Sang-Keun Woo
Publikováno v: PLoS ONE, Vol 14, Iss 11, p e0225242 (2019)
BackgroundOsteosarcoma (OS) is the most common primary bone tumor affecting humans and it has extreme heterogeneity. Despite modern therapy, it recurs in approximately 30-40% of patients initially diagnosed with no metastatic disease, with the long-t
Externí odkaz: https://doaj.org/article/40f484bba6634ba990e6b78dd572871d
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