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393 results on '"Ha, Yong-Chan"'

3. Efficacy of Fragility Fracture Integrated Rehabilitation Management in Older Adults With Hip Fractures: A Randomized Controlled Trial With 1-Year Follow-Up

Author

Lee, Ho-Jun, Han, Jae-Young, Park, HyengKyu, Kim, ChulHyun, Kim, Don-Kyu, Shin, Heesuk, Lee, Chang Han, Baek, Sora, Lee, Goo Joo, Bang, Heui Je, Choi, Jun Hwan, Lee, So Young, Kim, Eun Sil, Jang, Soong-Nang, Lim, Seung-Kyu, Beom, Jaewon, Lee, Sang Yoon, Kim, Bo Ryun, Ha, Yong-Chan, and Lim, Jae-Young

Published
2025
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11. The 2021 Association Research Circulation Osseous Classification for Early-Stage Osteonecrosis of the Femoral Head to Computed Tomography–Based Study

Author

Koo, Kyung-Hoi, Mont, Michael A., Cui, Quanjun, Hines, Jeremy T., Yoon, Byung-Ho, Novicoff, Wendy M., Lee, Yun Jong, Cheng, Edward Y., Drescher, Wolf, Hernigou, Philippe, Kim, Shin-Yoon, Sugano, Nobuhiko, Zhao, De-Wei, Ha, Yong-Chan, Goodman, Stuart B., Sakai, Takashi, Jones, Lynne C., Lee, Mel S., Yamamoto, Takuaki, Lee, Young-Kyun, Kang, Yusuhn, Burgess, James, Chen, Dennis, Quinlan, Nicole, Xu, Jian Zhong, Park, Jung-Wee, and Kim, Hong-Seok

Published
2022
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18. Correlation between individual thigh muscle volume and grip strength in relation to sarcopenia with automated muscle segmentation.

Author

Kim, Hyeon Su, Kim, Shinjune, Kim, Hyunbin, Cha, Yonghan, Kim, Jung-Taek, Kim, Jin-Woo, Ha, Yong-Chan, and Yoo, Jun-Il

Subjects
QUADRICEPS muscle, GRIP strength, VASTUS lateralis, HIP fractures, PUBLIC hospitals
Abstract

Introduction: Grip strength serves as a significant marker for diagnosing and assessing sarcopenia, particularly in elderly populations. The study aims to explore the relationship between individual thigh muscle volumes and grip strength, leveraging advanced AI-based UNETR segmentation techniques for accurate muscle volume assessment. Methods: The study included 49 participants from a cohort of 478 patients diagnosed with hip fractures at Gyeongsang National University Hospital. We recorded Grip strength and height and utilized UNETR-based segmentation techniques on CT scans, to calculate individual thigh muscle volumes. Point-biserial correlation was employed to explore the relationship between sarcopenia and thigh muscle volumes. The research also included a quantile analysis of grip strength. Results: Our findings revealed a strong statistical significance in specific thigh muscles like Rectus femoris, Vastus lateralis, and Vastus intermedius, particularly in males, in relation to sarcopenia. The male cohort displayed a trend where higher thigh muscle volumes correlated with better grip strengths. Meanwhile no such relationship was found within the female group. Conclusion: The findings indicate that stronger grip strength correlates with larger thigh muscles in males but not in females, with specific muscles like the Rectus femoris and Vastus lateralis linked to sarcopenia in men only. The study's small sample size calls for further research with more diverse and gender-balanced groups to verify these results. [ABSTRACT FROM AUTHOR]

Published
2024
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21. The 2019 Revised Version of Association Research Circulation Osseous Staging System of Osteonecrosis of the Femoral Head

Author

Yoon, Byung-Ho, Mont, Michael A., Koo, Kyung-Hoi, Chen, Chung-Hwan, Cheng, Edward Y., Cui, Quanjun, Drescher, Wolf, Gangji, Valerie, Goodman, Stuart B., Ha, Yong-Chan, Hernigou, Philippe, Hungerford, Marc W., Iorio, Richard, Jo, Woo-Lam, Jones, Lynne C., Khanduja, Vikas, Kim, Harry K.W., Kim, Shin-Yoon, Kim, Tae-Young, Lee, Hee Young, Lee, Mel S., Lee, Young-Kyun, Lee, Yun Jong, Nakamura, Junichi, Parvizi, Javad, Sakai, Takashi, Sugano, Nobuhiko, Takao, Masaki, Yamamoto, Takuaki, and Zhao, De-Wei

Published
2020
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36. A retrospective evaluation of individual thigh muscle volume disparities based on hip fracture types in followed-up patients: an AI-based segmentation approach using UNETR.

Author

Kim, Hyeon Su, Kim, Shinjune, Kim, Hyunbin, Song, Sang-Youn, Cha, Yonghan, Kim, Jung-Taek, Kim, Jin-Woo, Ha, Yong-Chan, and Yoo, Jun-Il

Subjects
FEMORAL neck fractures, MACHINE learning, ARTIFICIAL intelligence, HIP fractures, VASTUS lateralis, DEEP learning, ARTIFICIAL joints, GLUTEAL muscles
Abstract

Background: Hip fractures are a common and debilitating condition, particularly among older adults. Loss of muscle mass and strength is a common consequence of hip fractures, which further contribute to functional decline and increased disability. Assessing changes in individual thigh muscles volume in follow-up patients can provide valuable insights into the quantitative recovery process and guide rehabilitation interventions. However, accurately measuring anatomical individual thigh muscle volume can be challenging due to various, labor intensive and time-consuming. Materials and Methods: This study aimed to evaluate differences in thigh muscle volume in followed-up hip fracture patients computed tomography (CT) scans using an AI based automatic muscle segmentation model. The study included a total of 18 patients at Gyeongsang National University, who had undergone surgical treatment for a hip fracture. We utilized the automatic segmentation algorithm which we have already developed using UNETR (U-net Transformer) architecture, performance dice score = 0.84, relative absolute volume difference 0.019 ± 0.017%. Results: The results revealed intertrochanteric fractures result in more significant muscle volume loss (females: −97.4 cm3, males: –178.2 cm3) compared to femoral neck fractures (females: −83 cm3, males: −147.2 cm3). Additionally, the study uncovered substantial disparities in the susceptibility to volume loss among specific thigh muscles, including the Vastus lateralis, Adductor longus and brevis, and Gluteus maximus, particularly in cases of intertrochanteric fractures. Conclusions: The use of an automatic muscle segmentation model based on deep learning algorithms enables efficient and accurate analysis of thigh muscle volume differences in followed up hip fracture patients. Our findings emphasize the significant muscle loss tied to sarcopenia, a critical condition among the elderly. Intertrochanteric fractures resulted in greater muscle volume deformities, especially in key muscle groups, across both genders. Notably, while most muscles exhibited volume reduction following hip fractures, the sartorius, vastus and gluteus groups demonstrated more significant disparities in individuals who sustained intertrochanteric fractures. This non-invasive approach provides valuable insights into the extent of muscle atrophy following hip fracture and can inform targeted rehabilitation interventions. [ABSTRACT FROM AUTHOR]

Published
2024
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37. Etiologic Classification Criteria of ARCO on Femoral Head Osteonecrosis Part 1: Glucocorticoid-Associated Osteonecrosis

Author

Yoon, Byung-Ho, Jones, Lynne C., Chen, Chung-Hwan, Cheng, Edward Y., Cui, Quanjun, Drescher, Wolf, Fukushima, Wakaba, Gangji, Valerie, Goodman, Stuart B., Ha, Yong-Chan, Hernigou, Philippe, Hungerford, Marc, Iorio, Richard, Jo, Woo-Lam, Khanduja, Vikas, Kim, Harry, Kim, Shin-Yoon, Kim, Tae-Young, Lee, Hee Young, Lee, Mel S., Lee, Young-Kyun, Lee, Yun Jong, Mont, Michael A., Sakai, Takashi, Sugano, Nobuhiko, Takao, Masaki, Yamamoto, Takuaki, and Koo, Kyung-Hoi

Published
2019
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38. Etiologic Classification Criteria of ARCO on Femoral Head Osteonecrosis Part 2: Alcohol-Associated Osteonecrosis

Author

Yoon, Byung-Ho, Jones, Lynne C., Chen, Chung-Hwan, Cheng, Edward Y., Cui, Quanjun, Drescher, Wolf, Fukushima, Wakaba, Gangji, Valerie, Goodman, Stuart B., Ha, Yong-Chan, Hernigou, Philippe, Hungerford, Marc, Iorio, Richard, Jo, Woo-Lam, Khanduja, Vikas, Kim, Harry, Kim, Shin-Yoon, Kim, Tae-Young, Lee, Hee young, Lee, Mel S., Lee, Young-Kyun, Lee, Yun Jong, Mont, Michael A., Sakai, Takashi, Sugano, Nobuhiko, Takao, Masaki, Yamamoto, Takuaki, and Koo, Kyung-Hoi

Published
2019
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45. Assessment of patient-reported outcomes (PROs): treatment satisfaction, medication adherence, and quality of life (QoL) and the associated factors in postmenopausal osteoporosis (PMO) patients in Korea

Author

Byun, Dong Won, Moon, Seong-Hwan, Kim, Tak, Lee, Hae-Hyeog, Park, Hyoung Moo, Kang, Moo-Il, Ha, Yong-Chan, Chung, Ho-Yeon, Yoon, Byung-Koo, Kim, Tae-Young, Chae, Soo Uk, Shin, Chan Soo, Yang, Kyu-Hyun, Lee, Jae Hyup, Chang, Jae Suk, Kim, Sung Hoon, Kim, In Joo, Koh, Jung-Min, Jung, Jung Hwa, Yi, Kyong Wook, Yoo, Jeong Joon, Chung, Dong Jin, Lee, Young-Kyun, Yoon, Hyun-Koo, Hong, Seongbin, Kim, Deog-Yoon, Baek, Ki Hyun, Kim, Hyun-Joo, Kim, Young-Joo, Kang, Seongsik, and Min, Yong-Ki

Published
2019
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