Hadikrishna Indra, Sylvyana Melita, Pattamatta Madhuri, Mulyawati Folli, Maulina Tantry
Oral and Maxillofacial Surgery Department, Faculty of Dentistry, Universitas Padjadjaran, Bandung 40132, Indonesia.
Oral and Maxillofacial Surgery Department, Hasan Sadikin Hospital, Bandung 40161, Indonesia.
Dent J (Basel). 2024 Jul 9;12(7):210. doi: 10.3390/dj12070210.
An impacted third molar is one of the most common abnormalities of the tooth position, impacting patients and their quality of life. Based on the impact and the invasive removal procedure, this study aimed to evaluate the characteristics of impacted third molars based on their radiographic features as well as their association with demographic characteristics. Outpatient dental records of the oral and maxillofacial surgery department of Hasan Sadikin Hospital, Bandung, Indonesia, from 1 January 2018 to 31 December 2019, were sorted, and relevant clinical and demographic data and panoramic radiographic examination results were extracted from these records. All data were then tabulated and analyzed by using SPSS version 29. As many as 3019 impacted third molars were identified. Our findings suggested the association between age to the occurrence of impacted third molars where patients aged between 17 and 29 years old showed high occurrences of impacted third molars. Male patients with impacted third molars are more likely to have multiple impacted third molars, while this risk decreases in females. Radiographic examination showed that the mesioangular position is the most common position for mandibular third molars. The variation in high occurrences of the impacted third molar is associated with several demographic factors.
阻生第三磨牙是最常见的牙齿位置异常之一，会影响患者及其生活质量。基于其影响和侵入性拔除程序，本研究旨在根据阻生第三磨牙的影像学特征及其与人口统计学特征的关联来评估其特点。对印度尼西亚万隆哈桑·萨迪金医院口腔颌面外科2018年1月1日至2019年12月31日的门诊牙科记录进行了整理，并从这些记录中提取了相关的临床和人口统计学数据以及全景影像学检查结果。然后使用SPSS 29版对所有数据进行制表和分析。共识别出3019颗阻生第三磨牙。我们的研究结果表明年龄与阻生第三磨牙的发生之间存在关联，17至29岁的患者中阻生第三磨牙的发生率较高。男性阻生第三磨牙患者更有可能有多颗阻生第三磨牙，而女性的这种风险则降低。影像学检查显示，近中角位是下颌第三磨牙最常见的位置。阻生第三磨牙高发生率的差异与多种人口统计学因素有关。
