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Updated: Mar 14, 2026

Individualized Stem-positioning in Calcar-guided Short-stem Total Hip Arthroplasty
Published on: February 27, 2018
Adverse tissue reactions after total hip arthroplasty
Ross A Miller1, Jae Y Ro1, Mary R Schwartz1
1Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Weill Medical College of Cornell University, Houston, TX.
Revision hip arthroplasty is often needed due to prosthesis failure. This review explores causes of failure and tissue reactions, including aseptic lymphocyte-dominated vasculitis-associated lesion, potentially linked to metal ion hypersensitivity.
Area of Science:
- Orthopedic Surgery
- Biomaterials Science
- Pathology
Background:
- Hip arthroplasty is a common procedure for hip disease, with generally high success rates.
- Prosthesis failure necessitates revision surgery in a subset of patients.
- Histopathological findings in failed hip arthroplasty tissues are often nonspecific.
Purpose of the Study:
- To review the etiologies of hip prosthesis failure.
- To discuss adverse tissue reactions associated with prosthesis failure.
- To highlight aseptic lymphocyte-dominated vasculitis-associated lesion (ALVAL) as a key diagnostic consideration.
Main Methods:
- Literature review focusing on hip arthroplasty failure.
- Analysis of histopathological findings in periprosthetic tissues.
- Proposal of a diagnostic algorithm integrating clinical and histopathological data.
Main Results:
- A variety of microscopic findings are associated with hip prosthesis failure.
- Aseptic lymphocyte-dominated vasculitis-associated lesion (ALVAL) is a significant finding, potentially driven by a type VI hypersensitivity to metal ions.
- A proposed diagnostic algorithm aids in identifying etiologic causes of failure.
Conclusions:
- Understanding the diverse etiologies and tissue reactions in hip arthroplasty failure is crucial for revision surgery.
- Aseptic lymphocyte-dominated vasculitis-associated lesion (ALVAL) warrants consideration due to its proposed hypersensitivity mechanism.
- The proposed diagnostic algorithm offers a structured approach to identifying causes of prosthesis failure in the absence of nomenclature consensus.
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