Skip to main navigation Skip to search Skip to main content

Sex Differentiation of Trabecular Bone Structure Based on Textural Analysis of Pelvic Radiographs

  • Paweł Kamiński
  • , Karolina Nurzynska
  • , Joanna Kwiecień
  • , Rafał Obuchowicz
  • , Adam Piórkowski
  • , Elżbieta Pociask
  • , Aleksandra Stępień
  • , Marcin Kociołek
  • , Michał Strzelecki
  • , Piotr Augustyniak
  • Andrzej Frycz Modrzewski Krakow University
  • Małopolska Orthopedic and Rehabilitation Hospital
  • AGH University of Krakow
  • Jagiellonian University Medical College
  • Independent Researcher
  • Lodz University of Technology

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Objectives: The purpose of this paper is to assess the determination of male and female sex from trabecular bone structures in the pelvic region. The study involved analyzing digital radiographs for 343 patients and identifying fourteen areas of interest based on their medical significance, with seven regions on each side of the body for symmetry. Methods: Textural parameters for each region were obtained using various methods, and a thorough investigation of data normalization was conducted. Feature selection approaches were then evaluated to determine a small set of the most representative features, which were input into several classification machine learning models. Results: The findings revealed a sex-dependent correlation in the bone structure observed in X-ray images, with the degree of dependency varying based on the anatomical location. Notably, the femoral neck and ischium regions exhibited distinctive characteristics between sexes. Conclusions: This insight is crucial for medical professionals seeking to estimate sex dependencies from such image data. For these four specific areas, the balanced accuracy exceeded 70%. The results demonstrated symmetry, confirming the genuine dependencies in the trabecular bone structures.

Original languageEnglish
Article number1904
JournalJournal of Clinical Medicine
Volume13
Issue number7
DOIs
Publication statusPublished - Apr 2024

Keywords

  • machine learning
  • pelvic regions
  • radiographs
  • sex estimation
  • textural analysis

ASJC Scopus subject areas

  • General Medicine

Fingerprint

Dive into the research topics of 'Sex Differentiation of Trabecular Bone Structure Based on Textural Analysis of Pelvic Radiographs'. Together they form a unique fingerprint.

Cite this