השוואת שיטות

	הערכת צפיפות עצם ברפואת שיניים	ניתוח תדירות תהודה להשתלות דנטליות
תחום	רפואת שיניים	רפואת שיניים
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1985 (classification); modern CBCT 2000s+	1996
הוגה השיטה	Lekholm and Zarb (bone quality classification); Hounsfield units standardization	Neil Meredith and colleagues
סוג	Radiographic and qualitative assessment	Non-invasive stability assessment
מקור מכונן	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.	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.
כינויים	bone quality assessment, trabecular pattern analysis, bone density classification	RFA, Implant Stability Quotient, ISQ, osseointegration assessment
קשורות	4	4
תקציר	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.	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.