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Crystal analysis in synovial fluid (SF) is crucial for diagnosing crystal induced arthropathies which are an important cause of acute and chronic joint inflammation. Identification of crystals in synovial fluid remains a key diagnostic step in the evaluation of patients presenting with arthritis. The direct identification of crystals in synovial fluid remains the clinical reference standard for confirming gout and calcium pyrophosphate deposition disease (CPPD), while the recognition of less common particles such as basic calcium phosphate (BCP) and cholesterol crystals can also provide clinically relevant information. This review summarizes the literature from 2017 to 2026 on crystals in synovial fluid, with particular emphasis on crystal types, detection methods and their clinical relevance. It aims to provide a practical, clinician-oriented review of SF crystal analysis, highlighting crystal morphology, detection techniques, disease associations and clinical interpretation. Monosodium urate (MSU) and calcium pyrophosphate (CPP) crystals remain the most diagnostically important. Compensated polarized light microscopy remains the gold standard for crystal identification, but it is limited by observer dependence, low crystal burden, weak birefringence and artifacts. Newer techniques, especially Raman spectroscopy and other chemistry-based approaches, are emerging as promising adjuncts. Imaging methods such as ultrasound and dual-energy CT increasingly complement aspiration-based diagnosis but do not replace synovial fluid examination, particularly when infection is a concern. Recognition of synovial fluid crystals has important clinical implications, as crystal-induced arthritis may mimic or coexist with other joint diseases, including septic arthritis. Improved diagnostic techniques and continued clinician training may enhance the accuracy and clinical utility of synovial fluid analysis. SF crystal analysis is a practical, rapid, and reliable diagnostic tool. Familiarity with crystal morphology, detection methods, and clinical implications improves diagnostic accuracy and guides therapy.
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Terzieva et al. (2026) studied this question.
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