Auxiliary diagnosis of periprosthesis joint infection by leukocyte esterase strips test using a deep learning model

The DCNN Model demonstrates excellent performance and high reliability in diagnosing PJI. Utilizing this model improves the objectivity of LE strip test for diagnosing PJI and mitigates the influence of external factors on the test results. Large-scale, multicenter clinical studies are necessary to further enhance the diagnostic performance of the model.

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Publication Details

Journal
International Journal of Surgery
Published
2025-12-19
DOI
https://doi.org/10.1097/js9.0000000000004576
Primary Topic
Orthopedic Infections and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Auxiliary diagnosis of periprosthesis joint infection by leukocyte esterase strips test using a deep learning model

International Journal of Surgery
Orthopedic Infections and Treatments
article

Auxiliary diagnosis of periprosthesis joint infection by leukocyte esterase strips test using a deep learning model

article en

Abstract

The DCNN Model demonstrates excellent performance and high reliability in diagnosing PJI. Utilizing this model improves the objectivity of LE strip test for diagnosing PJI and mitigates the influence of external factors on the test results. Large-scale, multicenter clinical studies are necessary to further enhance the diagnostic performance of the model.

International Journal of Surgery
Chinese PLA General Hospital (CN), Beijing University of Technology (CN), PLA Academy of Military Science (CN)
Openalex Percentile: Top 39%
Orthopedic Infections and Treatments
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