Сучасні підходи до аналізу стану кісткової тканини в прогнозуванні стабільності дентальних імплантатів

Andriy Martyniuk; Yaroslava Kulbashna

doi:10.33295/1992-576X-2026-3-DIMP-1

Authors

Andriy Martyniuk Villa Louisa Dental Clinic, Kyiv, Ukraine
Yaroslava Kulbashna Bogomolets National Medical University, Kyiv, Ukraine

DOI:

https://doi.org/10.33295/1992-576X-2026-3-DIMP-1

Keywords:

dental implantation, primary stability, osseointegration, fractal dimension, cone-beam computed tomography, resonance frequency analysis, prognostic model

Abstract

Aim. To analyze current evidence on the diagnostic and prognostic significance of methods for assessing dental implant stability, to examine separately the potential of fractal analysis of bone tissue, and to identify unresolved questions.

Materials and methods. A search was performed in PubMed/MEDLINE, Scopus, Web of Science and the ClinicalTrials.gov registry for the period 2016–2026, using six thematic queries in English. A total of 28 sources meeting the inclusion criteria were included: clinical studies in humans, systematic reviews and meta-analyses, experimental studies of the biomechanical characteristics of the bone–implant construct, and studies on the methodology of fractal analysis of jaw images.

Results. Insertion torque and resonance frequency analysis reflect different physical characteristics of the bone–implant construct; evidence on the relationship between them is conflicting. The prognostic significance of integral bone density measures is limited: density explains 42.3% of the variance in the implant stability quotient, and together with alveolar ridge width — 53.9%. A combination of trabecular bone structural characteristics obtained from cone-beam computed tomography explains up to 71% of stability variability. Fractal dimension significantly correlates with stability; however, its calculation is not standardized.

Conclusions. The development of a standardized protocol for fractal analysis of bone tissue on cone-beam computed tomography is a prerequisite for introducing of the method into the prediction of implant stability. A promising direction is the development of prognostic models aimed at predicting the dynamics of stability rather than its value at a single time point.

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Author Biographies

Andriy Martyniuk, Villa Louisa Dental Clinic, Kyiv, Ukraine

ORCID: https://orcid.org/0009-0001-4534-7441

dentist

Yaroslava Kulbashna, Bogomolets National Medical University, Kyiv, Ukraine

ORCID: https://orcid.org/0000-0002-2571-091X

Doctor of Medical Sciences, Professor of the Department of Surgical Dentistry

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