Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Kielelezo cha DMFT× | Upimaji wa Uzito wa Mifupa katika meno× | |
|---|---|---|
| Nyanja | Tiba ya Meno | Tiba ya Meno |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1938 | 1985 (classification); modern CBCT 2000s+ |
| Mwanzilishi≠ | Henry Klein, Cedric Palmer, and James Knutson | Lekholm and Zarb (bone quality classification); Hounsfield units standardization |
| Aina≠ | Epidemiological index | Radiographic and qualitative assessment |
| Chanzo asilia≠ | Klein, H., Palmer, C. E., & Knutson, J. W. (1938). Studies on dental caries: I. Dental status and dental needs of elementary school children. Public Health Reports, 53(32), 1259-1274. DOI ↗ | 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. link ↗ |
| Majina mbadala | DMF index, DMF score, DMFT score | bone quality assessment, trabecular pattern analysis, bone density classification |
| Zinazohusiana | 4 | 4 |
| Muhtasari≠ | The DMFT (Decayed, Missing due to caries, Filled) Index is a standardized epidemiological measure of dental caries experience in permanent dentition. Developed by Klein, Palmer, and Knutson in 1938, it quantifies the number of permanent teeth that are decayed, missing due to caries, or filled due to caries. The DMFT Index remains the most widely used caries index globally, enabling comparison of oral health across populations and tracking disease burden over time. | 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. |
| ScholarGateSeti ya data ↗ |
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