Evidence map›Paper›PMID 42146917›Full record

ArticleInternational journal of veterinary science and medicine2026

Enhancing Accuracy and Efficiency of Canine Synovial Fluid Analysis with Hyaluronidase Pretreatment and Automated Analyzer.

Winda Kusuma Dewi, Araya Radtanakatikanon, Ekkapol Akaraphutiporn, Teerawut Nedumpun, Chalika Wangdee

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Article in International journal of veterinary science and medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Winda Kusuma DewiInternational Graduate Program, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.
Araya RadtanakatikanonDepartment of Veterinary Pathology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.
Ekkapol AkaraphutipornDepartment of Veterinary Surgery, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.
Teerawut NedumpunDepartment of Veterinary Microbiology, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.
Chalika WangdeeDepartment of Veterinary Surgery, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Synovial fluid examination is vital for diagnosing joint diseases in dogs. However, conventional manual methods are labor-intensive and prone to imprecision. Pretreating synovial fluid with hyaluronidase and utilizing an automated analyzer may enhance the accuracy, precision, and efficiency of synovial fluid analysis, particularly in dogs. Aims and Objectives: This study aimed to assess the accuracy, precision, and efficiency of automated analyzer compared with manual cell count (MC) for analyzing synovial fluid in dogs. Materials and Methods: Fifty-two synovial fluid samples with varying cellularity were evaluated for the total nucleated cell count (TNCC) and differential cell count using three methods: hyaluronidase-treated automated cell count (AC-Hy), hyaluronidase-treated MC (MC-Hy), and untreated MC. The accuracy and precision of each method were statistically compared. Results: AC-Hy and MC-Hy provide the strongest agreement in determining TNCC (mean difference: 23.92%, 95% confidence interval: -53.23%-101.07%), with AC-Hy exhibiting the highest precision (coefficient of variations [CV]: 4.42%-4.49%). For differential counts, AC-Hy performed well in high TNCC samples (CV: 0.74%-2.25%) but was less reliable in low TNCC samples. MC-Hy, however, demonstrated consistent accuracy in determining differential count across all TNCC levels and produced superior smear quality compared with MC. In addition, AC-Hy offers shorter analytical times and is technically more efficient. Conclusion: In conclusion, pretreating canine synovial fluid with hyaluronidase enhances the accuracy and precision of synovial fluid analysis. While an automated analyzer enables rapid TNCC measurement, its reliability for differential counts decreases at low TNCC. Integrating automated count with hyaluronidase-treated manual differential counts and clinical evaluations would enhance diagnostic precision.

Indexed as

Accuracyautomated analyzercaninecell countsprecisionsynovial fluid

Identifiers

PMID42146917
PMCPMC13175205

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