Linganisha mbinu

	Uchanganuzi wa Masafa ya Mtetemo kwa Viingizaji	Upimaji wa Uzito wa Mifupa katika meno
Nyanja	Tiba ya Meno	Tiba ya Meno
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	1996	1985 (classification); modern CBCT 2000s+
Mwanzilishi	Neil Meredith and colleagues	Lekholm and Zarb (bone quality classification); Hounsfield units standardization
Aina	Non-invasive stability assessment	Radiographic and qualitative assessment
Chanzo asilia	Meredith, N., Alleyne, D., & Cawley, P. (1996). Quantitative determination of the stability of the implant-tissue interface using resonance frequency analysis. Clinical Oral Implants Research, 7(3), 261-267.	Lekholm, U., & Zarb, G. A. (1985). Patient selection and preparation. In Brånemark, P.-I., et al. (Eds.), Tissue-integrated prostheses: Osseointegration in clinical dentistry. Quintessence Publishing, 199-209.
Majina mbadala	RFA, Implant Stability Quotient, ISQ, osseointegration assessment	bone quality assessment, trabecular pattern analysis, bone density classification
Zinazohusiana	4	4
Muhtasari	Resonance Frequency Analysis (RFA) is a non-invasive, objective method for assessing dental implant stability and osseointegration. Introduced by Meredith and colleagues in 1996, RFA measures the stiffness of the implant-bone interface by analysing the frequency response of an implant abutment to vibration. The Implant Stability Quotient (ISQ), derived from RFA, enables quantitative monitoring of implant stability at insertion, during healing, and post-integration, facilitating clinical decision-making regarding loading timing and success prediction.	Bone density assessment in dentistry evaluates the quantity and quality of alveolar bone supporting teeth or serving as an implant site. Assessment integrates radiographic imaging (panoramic radiographs, periapical films, and cone-beam computed tomography) and clinical examination to classify bone density into four categories (Type I to IV) and to quantify bone loss. Accurate bone density assessment is critical for implant planning, predicting implant success, and adjusting surgical and loading protocols to account for bone quality variations.