PREDICTIVE VALIDITY OF MRI-BASED TEXTURE FEATURES OF INFRAPATELLAR FAT PAD USING MACHINE LEARNING METHODS FOR KNEE OA: DATA FROM THE FNIH OA BIOMARKERS CONSORTIUM

被引：0

作者：

Zhang, Mengdi ^{[1
]}

Cao, Peihua ^{[1
]}

Li, Shengfa ^{[1
]}

Li, Jia ^{[2
]}

Dang, Qin ^{[1
]}

Lu, Yao ^{[1
]}

Ding, Changhai ^{[1
]}

机构：

[1] Southern Med Univ, Zhujiang Hosp, Clin Res Ctr, Guangzhou, Guangdong, Peoples R China

[2] Southern Med Univ, Nanfang Hosp, Guangzhou, Guangdong, Peoples R China

来源：

OSTEOARTHRITIS AND CARTILAGE | 2024年 / 32卷

关键词：

D O I：

暂无

中图分类号：

R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学（修复外科学）];

学科分类号：

摘要：

503

引用

页码：S352 / S353

页数：2

共 35 条

[1] Predictive validity of biochemical biomarkers in knee osteoarthritis: data from the FNIH OA Biomarkers Consortium
Kraus, Virginia Byers
Collins, Jamie E.
Hargrove, David
Losina, Elena
Nevitt, Michael
Katz, Jeffrey N.
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Hoffmann, Steven C.
Hunter, David J.
ANNALS OF THE RHEUMATIC DISEASES, 2017, 76 (01) : 186 - 195
[2] Preliminary Assessment of Predictive Validity of Cartilage Thickness MRI Biomarkers in Knee OA - the Fnih OA Biomarkers Consortium.
Hunter, David J.
Collins, Jamie E.
Nevitt, Michael C.
Lynch, John A.
Kraus, Virginia B.
Katz, Jeffrey N.
Losina, Elena
Roemer, Frank
Guermazi, Ali
Wirth, Wolfgang
Eckstein, Felix
ARTHRITIS & RHEUMATOLOGY, 2014, 66 : S87 - S88
[3] PRELIMINARY ASSESSMENT OF PREDICTIVE VALIDITY OF SEMI-QUANTITATIVE MRI BIOMARKERS IN KNEE OA - THE FNIH OA BIOMARKERS CONSORTIUM
Hunter, D. J.
Nevitt, M.
Collins, J.
Roemer, F. W.
Lynch, J.
Kraus, V.
Katz, J. N.
Losina, E.
Jordan, J. M.
Guermazi, A.
OSTEOARTHRITIS AND CARTILAGE, 2014, 22 : S238 - S238
[4] MRI BIOMARKERS OF KNEE OSTEOARTHRITIS PROGRESSION: RESULTS FROM THE FNIH BIOMARKERS CONSORTIUM PROGRESS OA STUDY
Collins, Jamie E.
Mesenbrink, Peter
Jin, Rui
Dam, Erik
Deveza, Leticia A.
Eckstein, Felix
Fuerst, Thomas
Guermazi, Ali
Ladel, Christoph
Losina, Elena
Perry, Thomas A.
Robinson, Douglas
Swearingen, Christopher
Wirth, Wolfgang
Kraus, Virginia B.
Hunter, David
OSTEOARTHRITIS AND CARTILAGE, 2024, 32 : S110 - S111
[5] QUANTITATIVE MEASUREMENT OF MULTIPLE MRI-BASED STRUCTURAL MEASURES OF KNEE OSTEOARTHRITIS - ANALYSIS OF THE OA BIOMARKERS CONSORTIUM FNIH STUDY COHORT
Duryea, J.
Lo, L.
Sury, M.
Bahouth, S. M.
Yin, M.
Schaefer, L. F.
Collins, J. E.
Smith, S. E.
OSTEOARTHRITIS AND CARTILAGE, 2023, 31 : S95 - S96
[6] PREDICTION OF SYMPTOMS PROGRESSION FOR THE PATIENTS WITH KNEE OSTEOARTHRITIS BASED ON THE QUANTITATIVE STRUCTURAL FEATURES: DATA FROM THE FNIH OA BIOMARKERS CONSORTIUM
Xiao, Yi
Xiao, Feng
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JOURNAL OF MECHANICS IN MEDICINE AND BIOLOGY, 2021, 21 (05)
[7] MRI-based Texture Analysis of Infrapatellar Fat Pad to Predict Knee Osteoarthritis Incidence
Li, Jia
Fu, Shuai
Gong, Ze
Zhu, Zhaohua
Zeng, Dong
Cao, Peihua
Lin, Ting
Chen, Tianyu
Wang, Xiaoshuai
Lartey, Richard
Kwoh, C. Kent
Guermazi, Ali
Roemer, Frank W.
Hunter, David J.
Ma, Jianhua
Ding, Changhai
RADIOLOGY, 2022, 304 (03) : 611 - 621
[8] Predictive models of radiographic progression and pain progression in patients with knee osteoarthritis: data from the FNIH OA biomarkers consortium project
Li, Xiaoyu
Li, Chunpu
Zhang, Peng
ARTHRITIS RESEARCH & THERAPY, 2024, 26 (01)
[9] MRI-Based Radiomics and Delta-Radiomics Models of the Patella Predict the Radiographic Progression of Osteoarthritis: Data From the FNIH OA Biomarkers Consortium
Jiang, Hai
Peng, Yi
Qin, Si-Yu
Chen, Chao
Pu, Yu
Liang, Rui
Chen, Yong
Zhang, Xiao-Ming
Sun, Yang-Bai
Zuo, Hou-Dong
ACADEMIC RADIOLOGY, 2024, 31 (04) : 1508 - 1517
[10] Longitudinal validation of periarticular bone area and 3D shape as biomarkers for knee OA progression? Data from the FNIH OA Biomarkers Consortium
Hunter, David
Nevitt, Michael
Lynch, John
Kraus, Virginia Byers
Katz, Jeffrey N.
Collins, Jamie E.
Bowes, Mike
Guermazi, Ali
Roemer, Frank W.
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ANNALS OF THE RHEUMATIC DISEASES, 2016, 75 (09) : 1607 - 1614

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