Evidence map›Paper›PMID 39183780›Full record

ArticleFrontiers in surgery2024

Monte Carlo-based in-depth morphological analysis of medullary cavity for designing personalized femoral stem.

Lin Wang, Hui Sun, Kaijin Guo, Kunjin He, Weizhong Geng, Wen Zhou, Jian Wei

Abstract read
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Article in Frontiers in surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Lin WangSchool of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China.
Hui SunSchool of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China.
Kaijin GuoDepartment of Orthopedics, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Kunjin HeCollege of Internet of Things Engineering, Hohai University, Changzhou, China.
Weizhong GengCollege of Computer and Information Engineering, XinXiang University, XinXiang, China.
Wen ZhouSchool of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China.
Jian WeiSchool of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The design of femoral stem prostheses requires a precise understanding of the femoral marrow cavity. Traditional measurements of morphological parameters in the upper femur, particularly the medullary cavity and cortical region, are primarily based on coronal and sagittal axes, which may not fully capture the true three-dimensional structure of the femur. Methods: Propose a Monte Carlo-based method for a more comprehensive analysis of the femoral marrow cavity, using CT scans of femurs from a selected group of patients. The study aimed to define and calculate anatomically semantic morphological parameters to enhance the understanding of the femoral marrow cavity's anatomical morphological changes, ultimately improving the design and clinical selection of femoral stem prostheses. To enhance the accuracy of femoral stem prosthesis design, this study aims to develop a Monte Carlo-based method for a more comprehensive analysis of the femoral marrow cavity. The proposed method transforms the non-random problem of determining cross-sectional size into a random issue, allowing for the calculation of the size of the medullary cavity and cortical region. Anatomically semantic morphological parameters are then defined, calculated, and analyzed. Results: The experimental results indicate that the newly defined parameters complement existing ones, providing a more rational scientific basis for understanding the anatomical morphological changes of the femoral marrow cavity. Conclusion: This research offers essential scientific theoretical support for improved morphologic research, design, and clinical selection of femoral stem prostheses. It holds significant importance and application value in clinical practice, contributing to a more accurate and comprehensive understanding of femoral anatomy for prosthetic design.

Indexed as

femoral medullary cavityfemoral stemMonte Carlo methodmorphological analysisregion of interest

Identifiers

PMID39183780
PMCPMC11341490

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