Brook A H, Elcock C, al-Sharood M H, McKeown H F, Khalaf K, Smith R N
Department of Child Dental Health, School of Clinical Dentistry, Claremont Crescent, Sheffield, S10 2TA, United Kingdom.
Connect Tissue Res. 2002;43(2-3):289-95. doi: 10.1080/03008200290000718.
A multifactorial model based on an underlying continuous distribution of tooth size, with thresholds determining hypodontia and supernumeraries, has been proposed [1]. Our aim is to investigate this model by comparing tooth morphology of affected patients and their first degree relatives with normal controls. An image analysis system [2] was used to measure teeth on study models of controls, patients with hypodontia of varying degrees and location, first-degree relatives of hypodontia index cases, and patients with supernumerary teeth in the maxillary incisor region. Mesio-distal crown size in hypodontia patients was smaller than controls, and this difference was significant for all tooth types. There was a general pattern: the more severe the hypodontia, the smaller the size of the tooth formed. Patients with supernumerary teeth had permanent maxillary central and lateral incisors and canines that were significantly larger in mesio-distal width than controls. The maxillary central incisors also differed in taper in supernumerary patients compared to controls. Hypodontia prevalence was higher in first-degree relatives (22%) of hypodontia index cases than in the general population (4.4%), and unaffected relatives had smaller teeth than controls. Thus, there were generalized and localized effects within the dentition, and these findings are compatible with the statistical expectations of the proposed multifactorial model.
已提出一种基于牙齿大小潜在连续分布的多因素模型,其中阈值决定了牙缺失和多生牙情况[1]。我们的目的是通过比较患病患者及其一级亲属与正常对照的牙齿形态来研究该模型。使用图像分析系统[2]对对照组、不同程度和部位牙缺失患者、牙缺失指数病例的一级亲属以及上颌切牙区有多生牙患者的研究模型上的牙齿进行测量。牙缺失患者的近远中牙冠大小小于对照组,且所有牙类型的这种差异均具有显著性。存在一种总体模式:牙缺失越严重,形成的牙齿尺寸越小。有多生牙患者的上颌恒中切牙、侧切牙和尖牙的近远中宽度显著大于对照组。与对照组相比,有多生牙患者的上颌中切牙在锥度上也有所不同。牙缺失指数病例的一级亲属中牙缺失患病率(22%)高于一般人群(4.4%),且未患病的亲属牙齿比对照组小。因此,牙列内存在全身性和局部性影响,这些发现与所提出的多因素模型的统计预期相符。