山脊
树(集合论)
选择(遗传算法)
决策树
过程(计算)
计算机科学
医学
治疗方式
模态(人机交互)
运营管理
牙科
医学物理学
外科
地质学
数据挖掘
机器学习
人工智能
工程类
数学
古生物学
操作系统
数学分析
作者
Alexandra Plonka,István Urbán,Hom‐Lay Wang
出处
期刊:International Journal of Periodontics & Restorative Dentistry
[Quintessence Publishing]
日期:2018-02-15
卷期号:38 (2): 269-275
被引量:55
摘要
Vertical ridge augmentation (VRA) procedures before or during dental implant placement are technically challenging and often encounter procedure-related complications. To minimize complications and promote success, a literature search was conducted to validate procedures used for VRA. A decision tree based on the amount of additional ridge height needed (< 4, 4 to 6, or > 6 mm) was then developed to improve the procedure-selection process. At each junction, the clinician is urged to consider anatomical, clinical, and patient-related factors influencing treatment outcomes. This decision tree guides selection of the most appropriate treatment modality and sequence for safe, predictable management of the vertically deficient ridge in implant therapy.
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