华西口腔医学杂志 ›› 2025, Vol. 43 ›› Issue (3): 370-375.doi: 10.7518/hxkq.2025.2024320

• 临床研究 • 上一篇    下一篇

定深法磨牙面预备空间不足的易发区域分析

张跃骞1,2(), 聂蓉蓉3(), 孟翔峰4()   

  1. 1.南京大学医学院附属口腔医院,南京市口腔医院,南京大学口腔医学研究所,南京 210000
    2.溧阳市溧城镇马垫卫生院,溧阳 213300
    3.南京大学医学院附属口腔医院,南京市口腔医院老年口腔科,南京大学口腔医学研究所,南京 210000
    4.南京大学医学院附属口腔医院,南京市口腔医院修复工艺科,南京大学口腔医学研究所,南京 210000
  • 收稿日期:2024-08-29 修回日期:2024-12-05 出版日期:2025-06-01 发布日期:2025-06-10
  • 通讯作者: 聂蓉蓉,孟翔峰 E-mail:YueQian_Zhang@outlook.com;nrr63@nju.edu.cn;mengsoar@nju.edu.cn
  • 作者简介:张跃骞,医师,学士,E-mail:YueQian_Zhang@outlook.com
  • 基金资助:
    南京大学医学院附属口腔医院3456骨干人才资助项目(0222E301)

Analysis of situations prone to insufficient spaces in tooth surface preparation with the fixed-depth groove method

Zhang Yueqian1,2(), Nie Rongrong3(), Meng Xiangfeng4()   

  1. 1.Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing 210000, China
    2.Madian Health Center, Licheng Town, Liyang City, Liyang 213300, China
    3.Dept. of Geriatric Dentistry, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing 210000, China
    4.Dept. of Prosthodontic Technology, Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Institute of Stomatology, Nanjing University, Nanjing 210000, China
  • Received:2024-08-29 Revised:2024-12-05 Online:2025-06-01 Published:2025-06-10
  • Contact: Nie Rongrong,Meng Xiangfeng E-mail:YueQian_Zhang@outlook.com;nrr63@nju.edu.cn;mengsoar@nju.edu.cn
  • Supported by:
    “3456” Cultivation Program for Junior Talents of Nanjing Stomatological Hospital, Medical School of Nanjing University(0222E301)

摘要:

目的 对全冠修复的磨牙面预备空间进行数字化数据采集,分析磨牙面预备空间最小及面预备空间不足的易发区域。 方法 选取拟行二氧化锆全冠修复的磨牙(除第三磨牙外)共846例。所有磨牙在视觉引导下,通过定深法进行牙体预备,并制取数字化印模。对预备体的面进行区域划分(近颊区、近舌区、远颊区、远舌区、近中边缘嵴、远中边缘嵴),并应用图像测量软件(3Shape Unite)记录磨牙面预备空间最小的区域,并定义<1 mm为面预备空间不足。采用卡方检验进行数据统计和分析。 结果 不同象限磨牙面预备空间最小的发生区域差异具有统计学意义(P<0.05)。上颌第一磨牙面预备空间最小的易发区域位于近颊区,而其余磨牙面预备空间最小的易发区域则位于远舌区。面预备空间不足的发生率为41.0%(347例),其易发区的分布与面预备空间最小的易发区域分布一致。 结论 即使采用定深法,在视觉引导下的磨牙面预备空间的不均匀现象仍然不可避免。对磨牙面预备空间不足易发区域的预判,可以为临床医生提供指导。

关键词: 磨牙, 全冠修复, (牙合)面预备, 修复空间

Abstract:

Objective Digitally collect data on the preparation space of the molar occlusal surface for full crown restoration and analyze the minimum preparation spaces and areas prone to insufficient preparation. Methods A total of 846 molars (excluding third molars) designated for repair with zirconium dioxide crowns were selected. All molars were prepared by using the fixed-depth groove method under visual guidance. A digital impression was collected, and the occlusal surface of the preparation was divided into regions: mesiobuccal area, mesiolingual area, distobuccal area, distolingual area, mesial marginal ridge, and distal marginal ridge. Image measurement software (3Shape Unite) was employed to record the smallest preparation space on the molar occlusal surface, and a space of <1 mm was defined as insufficient preparation. The chi-square test was utilized for the statistical analysis of data. Results Significant differences were observed in the areas with the smallest preparation space on the occlusal surface of molars across different quadrants (P<0.05). Notably, the area with the smallest preparation space on the occlusal surface of the maxillary first molar was most frequently found in the mesiobuccal area, whereas the smallest preparation spaces on other molars were predominantly located in the distolingual area. The insufficient preparation of the occlusal surface occurred in 41.0% (347 cases) of teeth. The distribution of prone areas corresponded with the distribution of the smallest spatial areas. Conclusion Although the fixed-depth groove method is employed, the preparation space on the molar surface unavoidably remains uneven under visual guidance. The identification of the areas prone to minimum preparation spaces can serve as a valuable guide for clinicians to prevent insufficient preparation.

Key words: molar, full-crown restoration, occlusal surface preparation, preparation space

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