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Diagnostic Test Analysis of Intraoperative Direct Sonication in Detecting Periprosthetic Joint Infection: A
Shunsuke Kondo1,2, Norio Yamamoto2,3, Akihiro Saitsu2,4,5
1Department of Medicine, John A. Burns School of Medicine, Honolulu, USA.
Abstract:
Periprosthetic joint infection (PJI) remains a challenging complication after arthroplasty. Intraoperative direct sonication (sonicating explanted components or periprosthetic tissue in the operating room and inoculating processed fluid into blood culture bottles) may improve pathogen detection by disrupting biofilm. We conducted a systematic review and meta-analysis to evaluate the diagnostic accuracy of this test for suspected PJI. We searched CENTRAL, MEDLINE (PubMed), and Embase (ProQuest) on June 10, 2025, without language restrictions, and screened trial registries (ICTRP, ClinicalTrials.gov), organizational websites/guidelines, citations, and conference abstracts. Eligible studies evaluated intraoperative direct sonication against a predefined reference standard and reported or allowed reconstruction of 2×2 data. Two reviewers independently performed study selection, data extraction, and QUADAS-2 risk-of-bias assessment. We synthesized sensitivity and specificity using hierarchical models. We also generated forest plots and an SROC (summary receiver operating characteristic) curve. The search yielded 1,910 records plus 124 from other sources; six studies met the inclusion criteria. After confirming cohort overlap, four unique datasets remained; two studies (n=479) used the MSIS 2011 criteria and were pooled. Risk of bias was generally low; one study had unclear patient selection. Summary sensitivity and specificity were 88.7% (95% CI, 82.9-92.7) and 83.1% (95% CI, 73.5-89.7), respectively. Intraoperative direct sonication showed promising diagnostic performance for suspected PJI, but the current pooled evidence is based on only two studies using the Musculoskeletal Infection Society (MSIS) reference standard. Larger, multicenter studies using consistent reference standards are needed to refine accuracy estimates and define its role in diagnostic pathways.
Insights
Intraoperative direct sonication shows promise for detecting periprosthetic joint infection (PJI) by disrupting biofilms. This method achieved 88.7% sensitivity and 83.1% specificity in a meta-analysis, though more research is needed.
Area of Science:
- Orthopedic Surgery
- Infectious Diseases
- Diagnostic Microbiology
Background:
- Periprosthetic joint infection (PJI) is a significant complication following arthroplasty.
- Current diagnostic methods for PJI can be limited by biofilm interference.
- Intraoperative direct sonication is a novel technique to enhance pathogen detection.
Purpose of the Study:
- To systematically review and meta-analyze the diagnostic accuracy of intraoperative direct sonication for suspected PJI.
- To evaluate the effectiveness of sonication in disrupting bacterial biofilms on explanted components and tissues.
Main Methods:
- A systematic literature search was conducted across multiple databases (CENTRAL, MEDLINE, Embase) and trial registries.
- Six studies were included, with four unique datasets analyzed; two studies (n=479) using MSIS 2011 criteria were pooled for meta-analysis.
- Hierarchical models were used to synthesize sensitivity and specificity, with risk of bias assessed using QUADAS-2.
Main Results:
- The pooled analysis of two studies demonstrated a summary sensitivity of 88.7% (95% CI, 82.9-92.7) and specificity of 83.1% (95% CI, 73.5-89.7).
- The risk of bias was generally low, with one study having unclear patient selection criteria.
- The search identified 1,910 records plus 124 from other sources, with six studies meeting inclusion criteria.
Conclusions:
- Intraoperative direct sonication exhibits promising diagnostic performance for identifying PJI.
- The current evidence base is limited to two studies using the MSIS reference standard.
- Larger, multicenter studies with consistent reference standards are required to confirm accuracy and establish the role of sonication in PJI diagnostics.
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