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使用锥形束计算机断层扫描技术治疗奥勒Ⅲ型牙内陷

Management of Oehler's Type III Dens Invaginatus Using Cone Beam Computed Tomography.

作者信息

Ranganathan Jaya, Rangarajan Sundaresan Mohan Kumar, Ramasamy Srinivasan

机构信息

Department of Conservative Dentistry and Endodontics, Priyadarshini Dental College & Hospital, Pandur, Thiruvallur, Chennai 631203, India.

出版信息

Case Rep Dent. 2016;2016:3573612. doi: 10.1155/2016/3573612. Epub 2016 Mar 16.

Abstract

Dens Invaginatus is a dental malformation that poses diagnostic difficulties in the clinical context. This anomaly may increase the risk of pulp disease and can potentially complicate endodontic procedure due to the aberrant root canal anatomy. Compared to conventional radiographs, three-dimensional images obtained with Cone Beam Computed Tomography (CBCT) are invaluable in the diagnosis of the extent of this anomaly and in the appropriate treatment planning. Oehler's classification (1957) for Dens Invaginatus (DI) into three types depending on the depth of the invagination has been used for treatment planning. Of the three types Type III DI is characterized by infolding of the enamel into the tooth up to the root apex and is considered as the most severe variant of DI and hence the most challenging to treat endodontically, due to the morphological complexities. This report describes a case of Oehler's Type III DI in a necrotic permanent maxillary lateral incisor in which CBCT images played a key role in diagnosis and treatment planning. The case was managed successfully by a combination of nonsurgical and surgical endodontic therapy with orthograde and retrograde thermoplastic gutta percha obturation.

摘要

牙中牙是一种在临床环境中给诊断带来困难的牙发育畸形。这种异常可能会增加牙髓疾病的风险,并且由于根管解剖结构异常,可能会使牙髓治疗过程变得复杂。与传统的X光片相比,锥形束计算机断层扫描(CBCT)获得的三维图像对于诊断这种异常的程度以及进行适当的治疗计划具有重要价值。Oehler(1957年)根据牙内陷的深度将牙中牙(DI)分为三种类型,该分类法已用于治疗计划。在这三种类型中,III型牙中牙的特征是釉质向内折叠至根尖,被认为是牙中牙最严重的变体,因此由于形态复杂,牙髓治疗最具挑战性。本报告描述了一例坏死的上颌恒侧切牙中的Oehler III型牙中牙病例,其中CBCT图像在诊断和治疗计划中发挥了关键作用。该病例通过非手术和手术牙髓治疗相结合,并采用顺行和逆行热塑牙胶充填成功治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dc4/4812223/fd634769b70c/CRID2016-3573612.001.jpg

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