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使用CBCT成像对不同面部发散度的骨骼I类和III类患者的颌骨进行容积分析。

Volumetric Analysis of the Jaws in Skeletal Class I and III Patients with Different Facial Divergence Using CBCT Imaging.

作者信息

Alhawasli Rama Yasser, Ajaj Mowaffak A, Hajeer Mohammad Younis, Al-Zahabi Assil Mohammad Raef, Mahaini Luai

机构信息

Department of Orthodontics, University of Damascus Dental School, Damascus, Syria.

出版信息

Radiol Res Pract. 2022 May 28;2022:2416555. doi: 10.1155/2022/2416555. eCollection 2022.

DOI:10.1155/2022/2416555
PMID:35668737
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9167144/
Abstract

AIM

The main objective was to evaluate any possible maxillary or mandibular volumetric difference between hyperdivergent skeletal Class III (CIII), normodivergent skeletal CIII, hypodivergent skeletal CIII, and normodivergent skeletal Class I (CI) patients using cone-beam computed tomography (CBCT) images. Also, the secondary objective was to investigate any possible correlation between CBCT-derived lateral cephalometric variables and the mandibular and maxillary volumes (MdV and MxV, respectively).

MATERIALS AND METHODS

80 CBCT images of patients between 18 and 32 years of age were taken with one CBCT imaging device (Scanora 3D®, Soredex, Tuusula, Finland). The sample consisted of four groups: 20 hypodivergent skeletal CIII (11 males and 9 females), 20 normodivergent skeletal CIII (7 males and 13 females), 20 hyperdivergent skeletal CIII (8 males and 12 females), and 20 normodivergent skeletal CI (5 males and 15 females). The volumes of both jaws and the ratio of MxV/MdV were obtained using Mimics™ 19 software (Materialise, NV, Belgium), and 2D variables were obtained from CBCT-derived lateral cephalogram using AudaxCeph™ software (Orthodontic software suite, Ljubljana, Slovenia). One-way ANOVA test and Kruskal-Wallis analysis were employed to detect any possible significant difference between the volumetric variables, whereas Pearson's and Spearman's correlation coefficients were calculated to detect any possible relationship between the 2D variables and the volumetric measurements.

RESULTS

There were no statistically significant differences in the maxillary volume or maxillary/mandibular ratio between the four groups (=0.081 and 0.432, respectively). There was a significant difference in MdV between CIII hypodivergent (higher mean) and CIII hyperdivergent (=0.039). There were some correlations between the MdV and 2D variables in the four studied groups especially in the posterior facial height (S-Go) and the facial depth (N-Go). There were some weaker correlations between the MxV and some 2D variables in the CIII hypodivergent and hyperdivergent groups.

CONCLUSIONS

The mandibular volume of the Class III hypodivergent patient was significantly greater than that of the Class III hyperdivergent patients. Correlations between the maxillary or mandibular volumes were found with some of the 2D variables. The volume of both jaws increased when the maxillofacial complex moved toward a horizontal growth pattern.

摘要

目的

主要目的是使用锥形束计算机断层扫描(CBCT)图像评估高角型骨性Ⅲ类(CIII)、均角型骨性CIII、低角型骨性CIII和均角型骨性I类(CI)患者之间上颌或下颌的体积差异。次要目的是研究CBCT衍生的头影测量变量与下颌和上颌体积(分别为MdV和MxV)之间的可能相关性。

材料与方法

使用一台CBCT成像设备(Scanora 3D®,Soredex,图苏拉,芬兰)获取80例18至32岁患者的CBCT图像。样本包括四组:20例低角型骨性CIII(11例男性和9例女性)、20例均角型骨性CIII(7例男性和13例女性)、20例高角型骨性CIII(8例男性和12例女性)和20例均角型骨性CI(5例男性和15例女性)。使用Mimics™ 19软件(Materialise,NV,比利时)获得上下颌的体积以及MxV/MdV比值,并使用AudaxCeph™软件(正畸软件套件,卢布尔雅那,斯洛文尼亚)从CBCT衍生的侧位头影测量图中获取二维变量。采用单因素方差分析和Kruskal-Wallis分析来检测体积变量之间的任何可能显著差异,同时计算Pearson和Spearman相关系数以检测二维变量与体积测量之间的任何可能关系。

结果

四组之间在上颌体积或上颌/下颌比值方面无统计学显著差异(分别为=0.081和0.432)。低角型CIII(平均较高)和高角型CIII之间的MdV存在显著差异(=0.039)。在四个研究组中,尤其是在后面部高度(S-Go)和面部深度(N-Go)方面,MdV与二维变量之间存在一些相关性。在低角型和高角型CIII组中,MxV与一些二维变量之间存在一些较弱的相关性。

结论

低角型Ⅲ类患者的下颌体积显著大于高角型Ⅲ类患者。上颌或下颌体积与一些二维变量之间存在相关性。当颌面复合体向水平生长模式移动时,上下颌的体积均增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0409/9167144/b374355750fe/RRP2022-2416555.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0409/9167144/b48578e3bffc/RRP2022-2416555.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0409/9167144/f9e66c3a23d2/RRP2022-2416555.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0409/9167144/ed28a6c2733f/RRP2022-2416555.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0409/9167144/a11932c4a5a9/RRP2022-2416555.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0409/9167144/19a56538b200/RRP2022-2416555.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0409/9167144/b374355750fe/RRP2022-2416555.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0409/9167144/b48578e3bffc/RRP2022-2416555.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0409/9167144/f9e66c3a23d2/RRP2022-2416555.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0409/9167144/ed28a6c2733f/RRP2022-2416555.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0409/9167144/a11932c4a5a9/RRP2022-2416555.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0409/9167144/19a56538b200/RRP2022-2416555.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0409/9167144/b374355750fe/RRP2022-2416555.006.jpg

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