دورية أكاديمية
Knee acoustic emissions as a noninvasive biomarker of articular health in patients with juvenile idiopathic arthritis: a clinical validation in an extended study population
| العنوان: | Knee acoustic emissions as a noninvasive biomarker of articular health in patients with juvenile idiopathic arthritis: a clinical validation in an extended study population |
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| المؤلفون: | Quentin Goossens, Miguel Locsin, Sevda Gharehbaghi, Priya Brito, Emily Moise, Lori A Ponder, Omer T Inan, Sampath Prahalad |
| المصدر: | Pediatric Rheumatology Online Journal, Vol 21, Iss 1, Pp 1-6 (2023) |
| بيانات النشر: | BMC, 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Pediatrics LCC:Diseases of the musculoskeletal system |
| مصطلحات موضوعية: | Juvenile idiopathic arthritis, Joint acoustic emissions, Supervised machine learning, Knee Joint Health, Digital Biomarker, Pediatrics, RJ1-570, Diseases of the musculoskeletal system, RC925-935 |
| الوصف: | Abstract Background Joint acoustic emissions from knees have been evaluated as a convenient, non-invasive digital biomarker of inflammatory knee involvement in a small cohort of children with Juvenile Idiopathic Arthritis (JIA). The objective of the present study was to validate this in a larger cohort. Findings A total of 116 subjects (86 JIA and 30 healthy controls) participated in this study. Of the 86 subjects with JIA, 43 subjects had active knee involvement at the time of study. Joint acoustic emissions were bilaterally recorded, and corresponding signal features were used to train a machine learning algorithm (XGBoost) to classify JIA and healthy knees. All active JIA knees and 80% of the controls were used as training data set, while the remaining knees were used as testing data set. Leave-one-leg-out cross-validation was used for validation on the training data set. Validation on the training and testing set of the classifier resulted in an accuracy of 81.1% and 87.7% respectively. Sensitivity / specificity for the training and testing validation was 88.6% / 72.3% and 88.1% / 83.3%, respectively. The area under the curve of the receiver operating characteristic curve was 0.81 for the developed classifier. The distributions of the joint scores of the active and inactive knees were significantly different. Conclusion Joint acoustic emissions can serve as an inexpensive and easy-to-use digital biomarker to distinguish JIA from healthy controls. Utilizing serial joint acoustic emission recordings can potentially help monitor disease activity in JIA affected joints to enable timely changes in therapy. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1546-0096 |
| Relation: | https://doaj.org/toc/1546-0096 |
| DOI: | 10.1186/s12969-023-00842-7 |
| URL الوصول: | https://doaj.org/article/e2e5052166f94b4da384462ffad9d9f0 |
| رقم الأكسشن: | edsdoj.2e5052166f94b4da384462ffad9d9f0 |
| قاعدة البيانات: | Directory of Open Access Journals |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 15460096 |
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| DOI: | 10.1186/s12969-023-00842-7 |