Acoustic Prediction and Biomechanical Validation of Primary Stability in Uncemented Short‐Stem Hip Prostheses: An Experimental Study

In uncemented hip arthroplasty, achieving sufficient primary stability is essential for long-term implant success. However, objective intraoperative assessment of fixation quality remains challenging. Acoustic analysis of stem impaction sounds offers a promising tool for real-time evaluation, but its diagnostic accuracy and biomechanical correlation require further validation. Twelve formalin-fixed human femora were implanted with cementless Metha short stems under three predefined anchorage conditions: loose, optimal (fit), and fracture-inducing press-fit. Impaction sounds were recorded using calibrated microphones and processed via frequency-domain analysis. Relative micromotions were quantified under torsional loading to biomechanically assess primary stability. Spectral markers reliably differentiated between anchorage states. The transition from loose to fit showed minimal spectral change, yet emerged as statistically significant across multiple frequency clusters, while fit-to-fracture was characterized by a significant increase in low-frequency energy (< 2.5 kHz) and pronounced attenuation in high-frequency bands (> 15 kHz). These acoustic signatures closely correlated with biomechanically measured micromotions, which showed a distinct hierarchy: fracture < fit < loose. Cluster permutation analysis confirmed statistically significant differences between all groups, particularly in the fracture condition. This in vitro study demonstrates that frequency-based acoustic analysis can distinguish between stable, insufficient, and over-press-fit conditions during stem implantation. The findings support the feasibility of intraoperative acoustic monitoring as a real-time, objective tool to enhance implant safety and detect cortical compromise at an early stage, before clinical manifestation. However, translation into a clinical product will require further algorithmic development, integration into a surgical interface, and prospective in vivo validation.

Authors

Institutions

Publication Details

Journal
Journal of Orthopaedic Research®
Published
2025-12-13
DOI
https://doi.org/10.1002/jor.70108
Primary Topic
Orthopaedic implants and arthroplasty
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Acoustic Prediction and Biomechanical Validation of Primary Stability in Uncemented Short‐Stem Hip Prostheses: An Experimental Study

Samar Hamad, Bernd Ishaque, Alexander Jahnke, Markus Rickert et al.
Journal of Orthopaedic Research®
Orthopaedic implants and arthroplasty
article

Acoustic Prediction and Biomechanical Validation of Primary Stability in Uncemented Short‐Stem Hip Prostheses: An Experimental Study

Samar Hamad, Bernd Ishaque, Alexander Jahnke, Markus Rickert, Simon Schreynemackers, S.A. Petersen, Ahmed Tawous
article en

Abstract

In uncemented hip arthroplasty, achieving sufficient primary stability is essential for long-term implant success. However, objective intraoperative assessment of fixation quality remains challenging. Acoustic analysis of stem impaction sounds offers a promising tool for real-time evaluation, but its diagnostic accuracy and biomechanical correlation require further validation. Twelve formalin-fixed human femora were implanted with cementless Metha short stems under three predefined anchorage conditions: loose, optimal (fit), and fracture-inducing press-fit. Impaction sounds were recorded using calibrated microphones and processed via frequency-domain analysis. Relative micromotions were quantified under torsional loading to biomechanically assess primary stability. Spectral markers reliably differentiated between anchorage states. The transition from loose to fit showed minimal spectral change, yet emerged as statistically significant across multiple frequency clusters, while fit-to-fracture was characterized by a significant increase in low-frequency energy (< 2.5 kHz) and pronounced attenuation in high-frequency bands (> 15 kHz). These acoustic signatures closely correlated with biomechanically measured micromotions, which showed a distinct hierarchy: fracture < fit < loose. Cluster permutation analysis confirmed statistically significant differences between all groups, particularly in the fracture condition. This in vitro study demonstrates that frequency-based acoustic analysis can distinguish between stable, insufficient, and over-press-fit conditions during stem implantation. The findings support the feasibility of intraoperative acoustic monitoring as a real-time, objective tool to enhance implant safety and detect cortical compromise at an early stage, before clinical manifestation. However, translation into a clinical product will require further algorithmic development, integration into a surgical interface, and prospective in vivo validation.

Journal of Orthopaedic Research®Vol. 44(1)
Justus-Liebig-Universität Gießen (DE)
Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 40%
Orthopaedic implants and arthroplasty
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.