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Updated: Mar 21, 2026

Novel Diagnostics in Revision Arthroplasty: Implant Sonication and Multiplex Polymerase Chain Reaction
Published on: December 3, 2017
Quantification of neutrophil polymorphs in infected and noninfected second-stage revision hip arthroplasties
Mitsuru Munemoto1,2, Yusuke Inagaki1,2, Yasuhito Tanaka2
1Nuffield Department of Orthopaedics, Nuffield Orthopaedic Centre, Oxford - UK.
Aims:
In the diagnosis of periprosthetic joint infection (PJI), a heavy neutrophil polymorph (NP) infiltrate (>5 per high-power field [HPF] by MSIS criteria) is characteristically seen in periprosthetic tissues. PJI is commonly treated by a two-stage procedure with surgical clearance of infected tissues followed by intensive antibiotic treatment before re-implantation; tissues are sampled at the time of second stage but whether MSIS histological criteria can be used to diagnose the presence or absence of infection in second stage samples has not been established.
Methods:
Periprosthetic tissues from 31 cases of second-stage revision hip arthroplasty (including 3 cases fulfilling the microbiological MSIS criteria for PJI), were analysed histologically after haematoxylin-eosin and chloroacetate esterase (CAE) staining. The extent of the NP infiltrate was determined semiquantitatively and correlated with the microbiological diagnosis.
Results:
CAE staining facilitated identification of NPs in arthroplasty tissues and showed that in those cases where an organism was cultured in 2 or more samples, meeting the MSIS microbiological criteria for definite diagnosis of PJI, there was a heavy polymorph infiltrate (>5 NP per HPF on average). It was noted that isolated or scattered NPs were seen in 42.8% of periprosthetic tissues from noninfected second-stage revisions.
Conclusions:
The MSIS histological criteria which support a diagnosis of PJI in specimens from a primary revision hip arthroplasty (i.e. >5 NPs per HPF on average) are also valid for the assessment of a second-stage specimens. NPs can be seen in samples of periprosthetic tissue from uninfected second-stage revisions, indicating that strict histological criteria should be used in evaluating their significance in this context.
Insights
The established histological criteria for diagnosing periprosthetic joint infection (PJI) using neutrophil polymorph (NP) counts are effective for second-stage revision hip arthroplasty samples. However, the presence of NPs in non-infected tissues necessitates careful evaluation.
Area of Science:
- Orthopedic Surgery
- Infectious Disease Pathology
- Histopathology
Background:
- Periprosthetic joint infection (PJI) diagnosis typically involves identifying a significant neutrophil polymorph (NP) infiltrate (>5 per high-power field [HPF]) in periprosthetic tissues.
- Two-stage revision arthroplasty is standard for PJI, with tissue sampling at the second stage, but the applicability of histological criteria to these samples was unestablished.
Purpose of the Study:
- To determine if the established MSIS histological criteria for diagnosing PJI are valid for second-stage revision hip arthroplasty specimens.
- To assess the significance of NP infiltrates in second-stage revision tissues, including those from non-infected cases.
Main Methods:
- Histological analysis of periprosthetic tissues from 31 second-stage revision hip arthroplasties using hematoxylin-eosin and chloroacetate esterase (CAE) staining.
- Semiquantitative assessment of NP infiltrate extent and correlation with microbiological diagnosis of PJI.
Main Results:
- CAE staining effectively identified NPs, confirming a heavy infiltrate (>5 NP/HPF) in cases meeting microbiological criteria for PJI.
- Isolated or scattered NPs were observed in 42.8% of periprosthetic tissues from non-infected second-stage revisions.
Conclusions:
- The MSIS histological criteria (>5 NPs per HPF) are valid for assessing second-stage revision hip arthroplasty specimens for PJI.
- The presence of NPs in non-infected second-stage revision tissues highlights the need for strict histological evaluation to avoid misdiagnosis.
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