Cargando…

Textural entropy as a potential feature for quantitative assessment of jaw bone healing process

INTRODUCTION: The aim of the study was to propose and evaluate textural entropy as a parameter for bone healing assessment. MATERIAL AND METHODS: One hundred and twenty radiographs with loss of bone architecture were investigated (a bone defect was circumscribed – ROI DEF). A reference region (ROI R...

Descripción completa

Detalles Bibliográficos
Autores principales: Kołaciński, Michał, Kozakiewicz, Marcin, Materka, Andrzej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4379353/
https://www.ncbi.nlm.nih.gov/pubmed/25861292
http://dx.doi.org/10.5114/aoms.2013.33557
Descripción
Sumario:INTRODUCTION: The aim of the study was to propose and evaluate textural entropy as a parameter for bone healing assessment. MATERIAL AND METHODS: One hundred and twenty radiographs with loss of bone architecture were investigated (a bone defect was circumscribed – ROI DEF). A reference region (ROI REF) of the same surface area as the ROI DEF was placed in a field distant from the defect, where a normal, trabecular pattern of bone structure was well visualized. Data of three time points were investigated: T0 – immediately after the surgical procedure, T1 – 3 months post-op, and T2 – 12 months post-op. RESULTS: Textural entropy as a parameter describing bone structure regeneration was selected based on Fisher coefficient (F) evaluation. F was highest in T0 (3.4) and was decreasing later in T1 (1.7) and T2 (1.0 – means final lack of difference in the structure to reference bone). Textural entropy is a measure of structure disarrangement which in a bone defect region attains minimal value due to structural homogeneity, i.e. low complexity of the texture. The calculated parameter in the investigated material revealed a gradual increase inside the bone defect (p < 0.05), i.e. increase of complexity in a time-dependent manner starting from immediate post-op (T0 = 2.51; T1 = 2.68) up to most complex 1 year post-operational (T2 = 2.73), reaching the reference level of a normal bone. CONCLUSIONS: Textural entropy may be useful for computer assisted evaluation of bone regeneration process. The complexity of the texture corresponds to mature trabecular bone formation.