内鼻阀静态参数间的相关性研究  

Correlation analysis between static parameters of internal nasal valve

作　　者：陈静怡 汪涛[1] 王珮华[1] CHEN Jingyi;WANG Tao;WANG Peihua(Department of Otolaryngology Head and Neck Surgery,Shanghai 9th People’s Hospital,Shanghai JiaoTong University School of Medicine,Ear Institute,Shanghai JiaoTong University School of Medicine,Shanghai Key Laboratory of Translational Medicine on Ear and Nose Diseases,Shanghai 200011,China)

机构地区：[1]上海交通大学医学院附属第九人民医院耳鼻咽喉头颈外科、上海交通大学医学院耳科学研究所、上海市耳鼻疾病转化医学重点实验室,上海200011

出　　处：《中国耳鼻咽喉颅底外科杂志》2023年第1期67-74,共8页Chinese Journal of Otorhinolaryngology-skull Base Surgery

基　　金：上海交通大学医学院附属第九人民医院临床研究助推计划(临+计划)(JYLJ202009)。

摘　　要：目的 探究内鼻阀(INV)的重要参数包括单侧INV面积(A_(INV-R)、A_(INV-L))、INV总面积(A_(INV))、单侧INV高度(H_(INV-R)、H_(INV-L))、单侧INV底线长度(W_(INV-R)、W_(INV-L))、单侧INV角(α_(INV-R)、α_(INV-L))和INV角之和(αINV)之间的相关关系。方法 选取40例无鼻部疾病及症状汉族成年人的颌面部三维CT的数据资料,其中男20例,女20例;年龄20~80岁,平均年龄(47.05±17.82)岁。以重建鼻腔气流三维模型,定位INV并测量其重要参数。根据INV的形态特点,构建预测模型:单侧A_(INV)=WINV×HINV/2=tan[radians(αINV)]×(HINV)2/2,比较计算值与实测值并分析二者的相关性,并进一步作INV静态参数之间以及其与左右侧别、年龄和性别的相关性分析。结果 A_(INV-L)的实测值与计算值无统计学差异且相关性强(Z=-1.075,P>0.05;r=0.766 2,P<0.01),A_(INV-R)的实测值与计算值无统计学差异且相关性极强(t=-1.238,P>0.05;r=0.818 2,P<0.01)。A_(INV)的实测值与计算值无统计学差异且相关性极强(Z=-1.156,P>0.05;r=0.799 3,P<0.01)。比较左右两侧的INV参数可知,A_(INV-R)较A_(INV-L)偏大,差异具有统计学意义(t=-3.081、-2.029,P<0.05)。比较男性及女性的INV参数可知,男性的A_(INV-L)、A_(INV-R)及A_(INV)较女性偏大,差异具有统计学意义(t=-2.405、-3.336、-3.297、-4.223及-4.041,P<0.05),A_(INV-L)与H_(INV-L)、A_(INV-R)与H_(INV-R)间呈正相关(r=0.619 4、0.7101,P<0.01)。比较不同年龄组间的INV参数可知,<50岁人群的A_(INV-L)及A_(INV)较≥50岁人群的偏大(t=3.694、3.131,P<0.01),A_(INV-L)、A_(INV)与年龄呈负相关(rs=-0.519 8、-0.433 1,P<0.01)。这种负相关可能与年龄增长过程中α_(INV-L)的减小有关,相关分析提示α_(INV-L)与年龄呈负相关(r=-0.374 7,P<0.05)。进一步比较不同年龄组内的左右两侧INV参数,发现:<50岁人群的α_(INV-L)及α_(INV-R)、A_(INV-L)及A_(INV-R)无统计学差异,然而≥50岁人群的α_(INV-R)较α_(INV-L)偏大、A_(INV-R)较A_(INV-L)�Objective To investigate the correlations among critical parameters of the internal nasal valve(INV) including unilateral cross-sectional area of the INV(A_(INV-R),A_(INV-L)), total cross-sectional area of the INV(A_(INV)), unilateral height of the INV(H_(INV-R), H_(INV-L)), unilateral angle of the INV(α_(INV-R)、α_(INV-L)) and the sum of INV angles(αINV).Methods Maxillofacial computed tomographic images from 40 Han adults(20 males, 20 females;age ranged from 20 to 80 years old and 50% with age < 50 years old) without nasal diseases were applied to reconstruct the three-dimensional nasal airway models. After identifying the INV plane, the following parameters were measured: A_(INV-R), A_(INV-L), A_(INV), H_(INV-R), H_(INV-L), α_(INV-R)and α_(INV-L). Based on the morphological characteristics of INV, the prediction model was proposed as unilateral A_(INV)=WINV×HINV/2=tan[radians(αINV)]×(HINV)~2/2, and the calculated A_(INV)based on the model was compared with the measured A_(INV). Correlation analyses among the INV parameters, ages and genders were performed.Results There were no statistic differences but good correlations between the calculated and the measured values: A_(INV-L)(Z=-1.075,P>0.05;r=0.766 2,P<0.01), A_(INV-R)(t=-1.238,P>0.05;r =0.818 2,P<0.01)and A_(INV)(Z=-1.156,P>0.05;r=0.799 3,P<0.01). Comparison of the INV parameters between different sides showed that A_(INV-R)was larger than A_(INV-L), which could be explained by the larger α_(INV-R)(t=-3.081,-2.029,P<0.05). Comparison of the INV parameters between different genders revealed that A_(INV-L), A_(INV-R)and A_(INV)of the male group were larger than those of the female group, which could be explained by the larger H_(INV-L)and H_(INV-R)of the male group(t=-2.405,-3.336,-3.297,-4.223,-4.041,P<0.05). Comparison of the INV parameters between different age groups disclosed that A_(INV-L)and A INV of the young group(<50 years old)were larger than those of the old group(≥50 years old), which could be explained by the negative correlation betw

关 键 词：内鼻阀面积 内鼻阀高度 内鼻阀角 相关分析 预测模型 

分 类 号：R765[医药卫生—耳鼻咽喉科]