Szczegóły publikacji
Opis bibliograficzny
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 // Journal of Clinical Medicine [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2077-0383. — 2024 — vol. 13 iss. 7 art. no. 1904, s. 1–13. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 12–13, Abstr. — Publikacja dostępna online od: 2024-03-26
Autorzy (10)
- Kamiński Paweł
- Nurzynska Karolina
- AGHKwiecień Joanna
- Obuchowicz Rafał
- AGHPiórkowski Adam
- AGHPociask Elżbieta
- Stępień Aleksandra
- Kociołek Marcin
- Strzelecki Michał
- AGHAugustyniak Piotr
Słowa kluczowe
Dane bibliometryczne
ID BaDAP | 152579 |
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Data dodania do BaDAP | 2024-04-15 |
Tekst źródłowy | URL |
DOI | 10.3390/jcm13071904 |
Rok publikacji | 2024 |
Typ publikacji | artykuł w czasopiśmie |
Otwarty dostęp | |
Creative Commons | |
Czasopismo/seria | Journal of Clinical Medicine |
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.