Diagnostic Utility of Mast Cell Density and Neutrophilic Infiltration for Differentiating Aseptic Loosening From Periprosthetic Joint Infection: A Retrospective Cohort Study

Background Accurate differentiation between periprosthetic joint infection (PJI) and aseptic loosening (AL) is essential for appropriate surgical planning and optimal postoperative outcomes. Although neutrophil infiltration remains the standard histological marker for diagnosing PJI, it has recognized limitations. Mast cells, which play a role in chronic inflammatory responses, may serve as a complementary biomarker. This study evaluated the combined diagnostic utility of Giemsa-stained mast cell density and neutrophil counts in periprosthetic tissue to distinguish PJI from AL. Methods This single-center retrospective cohort study included patients who underwent revision arthroplasty between January 2022 and September 2025. PJI was defined according to the 2018 International Consensus Meeting criteria, whereas AL was diagnosed based on negative microbiological cultures and radiographic evidence of loosening. Periprosthetic tissue samples were stained with H&E for neutrophil assessment and Giemsa stain for mast cell identification. Two blinded observers quantified cells across 10 high-power fields (HPFs; 0.237 mm² per field). Results A total of 146 revision cases were analyzed, including 48 PJI and 98 AL cases. Median neutrophil counts were significantly higher in the PJI group than in the AL group (26.5 vs. 1.0 cells/HPF; p < 0.001). Conversely, median mast cell density was significantly higher in AL (11.0 vs. 3.5 cells/HPF; p < 0.001). A neutrophil threshold of ≥5 cells/HPF demonstrated 93.8% sensitivity and 91.8% specificity for diagnosing PJI (area under the curve (AUC) = 0.97). A mast cell cutoff of ≥7 cells/HPF showed 86.7% sensitivity and 85.4% specificity for diagnosing AL (AUC = 0.91). The combined sequential algorithm achieved an overall diagnostic accuracy of 93.2%. Conclusions Giemsa-stained mast cell density is a novel, cost-effective histological marker elevated in AL. When combined with neutrophil counts, it improves diagnostic accuracy and may serve as a practical adjunct in the routine pathological evaluation of revision arthroplasty specimens.

Authors

Institutions

Publication Details

Journal
Cureus
Published
2026-02-14
DOI
https://doi.org/10.7759/cureus.103612
Primary Topic
Orthopedic Infections and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnostic Utility of Mast Cell Density and Neutrophilic Infiltration for Differentiating Aseptic Loosening From Periprosthetic Joint Infection: A Retrospective Cohort Study

Sandesh Subhash Agrawal, Akanksha Wankhade, S. N. Khan, Rameez Ahmedkhan R Pathan et al.
Cureus
Orthopedic Infections and Treatments
article

Diagnostic Utility of Mast Cell Density and Neutrophilic Infiltration for Differentiating Aseptic Loosening From Periprosthetic Joint Infection: A Retrospective Cohort Study

Sandesh Subhash Agrawal, Akanksha Wankhade, S. N. Khan, Rameez Ahmedkhan R Pathan, Sujata R Panda
article en

Abstract

Background Accurate differentiation between periprosthetic joint infection (PJI) and aseptic loosening (AL) is essential for appropriate surgical planning and optimal postoperative outcomes. Although neutrophil infiltration remains the standard histological marker for diagnosing PJI, it has recognized limitations. Mast cells, which play a role in chronic inflammatory responses, may serve as a complementary biomarker. This study evaluated the combined diagnostic utility of Giemsa-stained mast cell density and neutrophil counts in periprosthetic tissue to distinguish PJI from AL. Methods This single-center retrospective cohort study included patients who underwent revision arthroplasty between January 2022 and September 2025. PJI was defined according to the 2018 International Consensus Meeting criteria, whereas AL was diagnosed based on negative microbiological cultures and radiographic evidence of loosening. Periprosthetic tissue samples were stained with H&E for neutrophil assessment and Giemsa stain for mast cell identification. Two blinded observers quantified cells across 10 high-power fields (HPFs; 0.237 mm² per field). Results A total of 146 revision cases were analyzed, including 48 PJI and 98 AL cases. Median neutrophil counts were significantly higher in the PJI group than in the AL group (26.5 vs. 1.0 cells/HPF; p < 0.001). Conversely, median mast cell density was significantly higher in AL (11.0 vs. 3.5 cells/HPF; p < 0.001). A neutrophil threshold of ≥5 cells/HPF demonstrated 93.8% sensitivity and 91.8% specificity for diagnosing PJI (area under the curve (AUC) = 0.97). A mast cell cutoff of ≥7 cells/HPF showed 86.7% sensitivity and 85.4% specificity for diagnosing AL (AUC = 0.91). The combined sequential algorithm achieved an overall diagnostic accuracy of 93.2%. Conclusions Giemsa-stained mast cell density is a novel, cost-effective histological marker elevated in AL. When combined with neutrophil counts, it improves diagnostic accuracy and may serve as a practical adjunct in the routine pathological evaluation of revision arthroplasty specimens.

CureusVol. 18(2)
All India Institute of Medical Sciences Raipur (IN), Manipal Academy of Higher Education (IN), Narayana Health (IN), Hindu Rao Hospital (IN), Sparsh Hospital (IN), Stavya Spine Hospital & Research Institute (IN), Sri Devaraj Urs Academy of Higher Education and Research (IN)
Openalex Percentile: Top 55%
Orthopedic Infections and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.