Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
Year: 2019
Type: article
Abstract: Knee osteoarthritis (OA) is the most common musculoskeletal disease without a cure, and current treatment options are limited to symptomatic relief. Prediction of OA progression is a very challenging and timely issue, and it could, if resolved, accelerate the disease modifying drug development and ultimately help to prevent millions of total joint replacement surgeries performed annually. Here, we present a multi-modal machine learning-based OA progression prediction model that utilises raw radiographic data, clinical examination results and previous medical history of the patient. We validated this approach on an independent test set of 3,918 knee images from 2,129 subjects. Our method yielded area under the ROC curve (AUC) of 0.79 (0.78-0.81) and Average Precision (AP) of 0.68 (0.66-0.70). In contrast, a reference approach, based on logistic regression, yielded AUC of 0.75 (0.74-0.77) and AP of 0.62 (0.60-0.64). The proposed method could significantly improve the subject selection process for OA drug-development trials and help the development of personalised therapeutic plans.
Source: Scientific Reports
Language: English
Subfield: Rheumatology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,790
Funders: Foundation for the National Institutes of Health, U.S. Department of Health and Human Services, Pfizer, GlaxoSmithKline, Novartis Pharmaceuticals Corporation, KAUTE-Säätiö, Oulun Yliopisto, Sigrid Juséliuksen Säätiö, National Institutes of Health, Infotech Oulu, National Institute on Aging, National Heart, Lung, and Blood Institute, National Institute of Arthritis and Musculoskeletal and Skin Diseases
Awards: G1048107671, G1059622193, G1143620864, G1158108047, G1256772101, G1327572557, G166592988, G1704954753, G1725953725, Multicenter Osteoarthritis Study (MOST) Second Renewal: Iowa Clinical Center, Clinical Centers for the Osteoarthritis Initiative, G2794021759, G2806376747, G296506445, G3042537171, G3049869442, G308144979, G3237742968, G3318356942, G3429939743, G3838259607, G390694876, G3971452047, G409491633, Multicenter Osteoarthritis Study (MOST) Second Renewal - UAB Clinical Center, Data Coordinating Center for the Osteoarthritis Initiative, G482432850, Multicenter Osteoarthritis Study (MOST) Second Renewal, Clinical Centers for the Osteoarthritis Initiative, G5646291224, G5654539734, G5672476635, G5716223526, G581468509, G604760239, G6470355408, G659721583, G6929926101, G6954856633, G724008290, G7825834944, Clinical Centers for the Osteoarthritis Initiative^Rhode Island, G7876590852, G8163802551, G8234285353, G8602293357, Multicenter Osteoarthritis Study (MOST) Second Renewal - Boston University, Clinical Centers for the Osteoarthritis Initiative, G897039181, G9000024889, G9000039886, G914010187
OpenAlex ID: W2942238494