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Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning

Autor: Yirui Wang, Fang-Ping Chen, Weijian Li, Jing Xiao, Chihung Lin, Le Lu, Chang-Fu Kuo, Guotong Xie, Ling Mei, Fakai Wang, Kang Zheng, Xiao-Yun Zhou, Shun Miao, C. I. Hsieh

Publikováno v: Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)

Dual-energy X-ray absorptiometry (DXA) is underutilized to measure bone mineral density (BMD) and evaluate fracture risk. We present an automated tool to identify fractures, predict BMD, and evaluate fracture risk using plain radiographs. The tool pe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7752c69bd2d58426dbd769472f7add33
https://doi.org/10.1038/s41467-021-25779-x

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Automated and Precise Bone Mineral Density Prediction and Fracture Risk Assessment using Hip/Lumbar Spine Plain Radiographs via Learning Deep Image Signatures and Correlations

Autor: Shun Miao, Kang Zheng, Chang-Fu Kuo, Chihung Lin, Guotong Xie, Fang-Ping Chen, Jing Xiao, Weijian Li, Le Lu, Fakai Wang, Yirui Wang, Xiaoyun Chou, C. I. Hsieh

Dual-energy X-ray absorptiometry (DXA) and the Fracture Risk Assessment Tool are recommended tools for osteoporotic fracture risk evaluation, but are underutilized. We present a novel and fully-automated tool to identify fractures, predict bone miner

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::03a76f72f10f7246ef17f9b26d364557
https://doi.org/10.21203/rs.3.rs-371880/v1

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OP0193 EVALUATION OF THE CAUSAL EFFECTS BETWEEN GOUT AND HYPERTENSION: A MENDELIAN RANDOMIZATION STUDY

Autor: C. I. Hsieh, Chia-Jung Kuo, Lian-Chin Wang, Chih-Chi Chen, Yeu-Jhy Chang

Publikováno v: Annals of the Rheumatic Diseases. 80:116-117

Background:Gout is the most common inflammatory arthritis worldwide associated with comorbidities that may impair well-being and reduce longevity. Epidemiological evidence generally supports that gout patients are at high risk of hypertension. Howeve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e1ce5b319f808a61a8d8a9236f4e3de3
https://doi.org/10.1136/annrheumdis-2021-eular.2061

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Akademický článek

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Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

OP0062 PREDICTIVE VALUE OF BONE TEXTURE FEATURES EXTRACTED BY DEEP LEARNING MODELS FOR THE DETECTION OF OSTEOARTHRITIS: DATA FROM THE OSTEOARTHRITIS INITIATIVE

Autor: S. Miao, C. I. Hsieh, Chihung Lin, K. Zheng, T. Y. Fan, Chia-Jung Kuo, L. Lu

Publikováno v: Annals of the Rheumatic Diseases. 79:41.2-42

Background:Osteoarthritis is a degenerative disorder characterized by radiographic features of asymmetric loss of joint space, subchondral sclerosis, and osteophyte formation. Conventional plain films are essential to detect structural changes in ost

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::95d4ed0eddc18ab7be94e1b2e204927a
https://doi.org/10.1136/annrheumdis-2020-eular.2858

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SAT0564 BONE TEXTURE ANALYSIS WITH DEEP LEARNING IN HAND RADIOGRAPHS FOR ASSESSING THE RISK OF RHEUMATOID ARTHRITIS

Autor: Chihung Lin, K. Zheng, S. Miao, L. Lu, C. I. Hsieh, Chia-Jung Kuo

Publikováno v: Annals of the Rheumatic Diseases. 79:1240.2-1240

Background:Conventional x-rays are essential to identify radiographic changes of rheumatoid arthritis (RA) in structure and bone texture. Limited evidence suggests that the bone texture analysis may quantify the radiographic changes in RA;1however, c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7c79220ce18f5fb7fa643f670fa8667f
https://doi.org/10.1136/annrheumdis-2020-eular.837

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OP0301 PREDICTION OF LOW BONE MINERAL DENSITY AND FRAX SCORE BY ASSESSING HIP BONE TEXTURE WITH DEEP LEARNING

Autor: C. I. Hsieh, T. Y. Fan, K. Zheng, Chia-Jung Kuo, S. Miao, L. Lu, Chihung Lin

Publikováno v: Annals of the Rheumatic Diseases. 79:187.2-187

Background:Osteoporosis is a widespread health concern associated with an increased risk of fractures in individuals with low bone mineral density (BMD). Dual-energy x-ray absorptiometry (DXA) is the gold standard to measure BMD, but methods based on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5a13c3a4c496d21d0cb27e0384a66f3a
https://doi.org/10.1136/annrheumdis-2020-eular.5916

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