Title: [Study on static parameters of internal nasal valve in 3-dimensional model of nasal cavity space].
Abstract: Objective: To identify the internal nasal valve (INV) and to evaluate its key parameters in the established 3D models of nasal cavity space via Mimics from CT images, in order to provide evidence for quantitative diagnosis of nasal valve compromise. Methods: A total of 32 Han adults without nasal diseases who underwent maxillofacial CT test in Shanghai Ninth People's Hospital from January 2015 to December 2018 were retrospectively recruited, including 16 males and 16 females, with the age ranged from 20 to 80 years (50% age<50 years old). Maxillofacial CT images were used to create 3D model of nasal cavity space. The INV was identified and the following parameters were measured: the angle between the INV and the nasal bone (θINV-B), unilateral cross-sectional area of the INV (AINV-R, AINV-L), total cross-sectional area of the INV (AINV), unilateral height of the INV (HINV-R, HINV-L), unilateral nasal valve angle (αINV-R, αINV-L), and the sum of nasal valve angle (αINV). The AINV in our study was compared with the results of the previously adopted planes (PlaneC, perpendicular to the hard palate and PlaneB, plane perpendicular to the nasal bone). The parameters above were compared among genders, age and race groups. SPSS 26 and GraphPad Prism 9 software were used for statistical analysis and mapping of data. Results: The AINV in our study was (214.87±52.94) mm², which was significantly less than that of PlaneC (254.97±47.80) mm² and PlaneB (226.07±57.36) mm². The measured parameters were as follows: θINV-B was (82.07±7.06)°; AINV-R was (112.66±31.39) mm²; AINV-L was (102.21±27.14) mm²; AINV was (214.87±52.94) mm²; HINV-R was (24.87±4.62) mm; HINV-L was (24.35±4.86) mm; αINV-R was (20.48±2.99)°; αINV-L was (19.65±3.82)°; αINV was (40.13±6.24)°. The AINV-R was larger than AINV-L (t=2.33, P<0.05); The HINV, AINV-R, AINV-L and AINV of males were more than those of females (t value was 5.77, 3.21, 2.91 and 3.52, respectively, all P<0.01). The AINV of the young group (<50 years) was larger than that of the old group (t=2.83, P<0.01); The θINV-B was different between the Han people and the Caucasian (t=2.92,P<0.01). The αINV of the Han people was larger than that of Caucasians (Z=-6.92, P<0.01), but the HINV was smaller (Z=-3.89, P<0.01). Conclusion: The AINV carried out in 3D models of nasal cavity space is significantly smaller than that obtained by the previous methods of CT evaluation. INV static parameters differ among genders, age and race groups.目的: 应用Mimics软件对颌面部CT数据进行处理,建立鼻腔空间三维模型,定位鼻瓣区并测量其重要参数,以期为鼻阀功能不良的定量诊断提供依据。方法: 回顾性纳入2015年1月至2018年12月于上海交通大学医学院附属第九人民医院行颌面部三维CT检查的无鼻部疾病汉族黄种人32例,其中男性16例、女性16例,年龄20~80岁,<50岁者占50%。重建鼻腔空间三维模型,定位鼻瓣区并测量以下参数:鼻瓣区与鼻骨平面夹角(θINV-B)、单侧鼻瓣区面积(AINV-R、AINV-L)、鼻瓣区总面积(AINV)、单侧鼻瓣区高度(HINV-R、HINV-L)、单侧鼻瓣角(αINV-R、αINV-L)以及鼻瓣角之和(αINV)。比较本研究所定位鼻瓣区的总面积与既往采用测量平面(垂直硬腭平面与垂直鼻骨平面)所得。分析不同侧别、性别、年龄及种族分组间上述参数的差异。采用SPSS 26及GraphPad Prism 9软件对数据进行统计分析及制图。结果: 本研究所定位鼻瓣区的总面积为(214.87±52.94)mm²,较既往CT测量方法中所采用的垂直硬腭平面[(254.97±47.80)mm²]及垂直鼻骨平面[(226.07±57.36)mm²]上所得偏小。本研究测得的鼻瓣区静态参数如下:θINV-B为(82.07±7.06)°,AINV-R为(112.66±31.39)mm²、AINV-L为(102.21±27.14)mm²,AINV为(214.87±52.94)mm²,HINV-R为(24.87±4.62)mm、HINV-L为(24.35±4.86)mm,αINV-R为(20.48±2.99)°、αINV-L为(19.65±3.82)°、αINV为(40.13±6.24)°。右侧较左侧鼻瓣区面积偏大(t=2.33,P<0.05);男性的单侧鼻瓣区高度和右侧、左侧鼻瓣区面积,以及鼻瓣区总面积较女性偏大(t值分别为5.77、3.21、2.91及3.52,P值均<0.01);<50岁人群的鼻瓣区总面积较≥50岁人群的偏大(t=2.83,P<0.01);汉族黄种人的鼻瓣区与鼻骨平面夹角不同于白种人(t=2.92,P<0.01),鼻瓣角较白种人偏大(Z=-6.92,P<0.01),而单侧鼻瓣区高度较白种人偏小(Z=-3.89,P<0.01)。结论: 本研究在鼻腔空间三维模型中对汉族黄种人鼻瓣区进行定位及参数测量所测得的鼻瓣区总面积小于既往CT测量方法所得,不同性别、年龄组及种族的鼻瓣区参数存在差异。.
Publication Year: 2023
Publication Date: 2023-03-07
Language: en
Type: article
Indexed In: ['pubmed']
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Cited By Count: 1
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