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

Author:

Kamiński Paweł12ORCID,Nurzynska Karolina3ORCID,Kwiecień Joanna4ORCID,Obuchowicz Rafał5ORCID,Piórkowski Adam6ORCID,Pociask Elżbieta6,Stępień Aleksandra7,Kociołek Marcin8ORCID,Strzelecki Michał8,Augustyniak Piotr6ORCID

Affiliation:

1. Clinic of Locomotor Disorders, Andrzej Frycz Modrzewski Krakow University, 30-705 Krakow, Poland

2. Małopolska Orthopedic and Rehabilitation Hospital, Modrzewiowa 22, 30-224 Krakow, Poland

3. Department of Algorithmics and Software, Silesian University of Technology, 44-100 Gliwice, Poland

4. Department of Automatic Control and Robotics, AGH University of Krakow, 30-059 Krakow, Poland

5. Department of Diagnostic Imaging, Jagiellonian University Medical College, Kopernika 19, 31–501 Krakow, Poland

6. Department of Biocybernetics and Biomedical Engineering, AGH University of Krakow, 30-059 Krakow, Poland

7. Independent Researcher, 00-237 Warszawa, Poland

8. Institute of Electronics, Lodz University of Technology, 93-590 Lodz, Poland

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.

Funder

AGH University of Krakow

Publisher

MDPI AG

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