Quantifying the anatomical variability of the proximal femur

This study demonstrates that PFV cannot be reliably predicted from NFV alone. These findings underscore the need for advanced, 3D preoperative planning tools to better predict stem version and accommodate patient-specific anatomy. Additionally, the increased variability observed in females may warrant sex-specific consideration in implant design choice and surgical technique.

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Publication Details

Journal
International Journal of Computer Assisted Radiology and Surgery
Published
2025-12-19
DOI
https://doi.org/10.1007/s11548-025-03560-5
Primary Topic
Orthopaedic implants and arthroplasty
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantifying the anatomical variability of the proximal femur

Anna Di Laura, Angelika Ramesh, Johann Henckel, Alister Hart
International Journal of Computer Assisted Radiology and Surgery
Orthopaedic implants and arthroplasty
article

Quantifying the anatomical variability of the proximal femur

Anna Di Laura, Angelika Ramesh, Johann Henckel, Alister Hart
article en

Abstract

This study demonstrates that PFV cannot be reliably predicted from NFV alone. These findings underscore the need for advanced, 3D preoperative planning tools to better predict stem version and accommodate patient-specific anatomy. Additionally, the increased variability observed in females may warrant sex-specific consideration in implant design choice and surgical technique.

International Journal of Computer Assisted Radiology and Surgery
Royal National Orthopaedic Hospital (GB), Department of Science and Technology (IN), Royal National Orthopaedic Hospital NHS Trust (GB), Cleveland Clinic London (GB), University College London (GB)
University College London, Rosetrees Trust
Openalex Percentile: Top 39%
Orthopaedic implants and arthroplasty
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