MIXED DENTITION SPACE ANALYSIS OF A SOUTHERN ITALIAN POPULATION: NEW REGRESSION EQUATIONS FOR UNERUPTED TEETH

被引:0
|
作者
Cirulli, N. [1 ]
Ballini, A. [2 ]
Cantore, S. [1 ]
Farronato, D. [3 ]
Inchingolo, F. [4 ]
Dipalma, G. [1 ]
Gatto, M. R. [5 ]
Bonetti, G. Alessandri [5 ]
机构
[1] Univ Bari Aldo Moro, Sch Med, I-70124 Bari, Italy
[2] Univ Bari Aldo Moro, Dept Basic Med Sci Neurosci & Sense Organs, I-70124 Bari, Italy
[3] Univ Varese, Sch Dent, Dept Surg & Morphol Sci, Varese, Italy
[4] Univ Bari Aldo Moro, Dept Interdisciplinary Med, I-70124 Bari, Italy
[5] Univ Bologna, Sch Med, Bologna, Italy
关键词
mixed dentition; regression equations; space analysis; mesiodistal width; dental casts; PREDICTION; PREMOLARS; CANINES; SIZE;
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Mixed dentition analysis forms a critical aspect of early orthodontic treatment. In fact an accurate space analysis is one of the important criteria in determining whether the treatment plan may involve serial extraction, guidance of eruption, space maintenance, space regaining or just periodic observation of the patients. The aim of the present study was to calculate linear regression equations in mixed dentition space analysis, measuring 230 dental casts mesiodistal tooth widths, obtained from southern Italian patients (118 females, 112 males, mean age 15 +/- 3 years). Student's t-test or Wilcoxon test for independent and paired samples were used to determine right/left side and male/female differences. On the basis of the sum of the mesiodistal diameters of the 4 mandibular incisors as predictors for the sum of the widths of the canines and premolars in the mandibular mixed dentition, a new linear regression equation was found: y = 0.613x+7.294 (r= 0.701) for both genders in a southern Italian population. To better estimate the size of leeway space, a new regression equation was found to calculate the mesiodistal size of the second premolar using the sum of the four mandibular incisors, canine and first premolar as a predictor. The equation is y = 0.241x+1.224 (r= 0.732). In conclusion, new regression equations were derived for a southern Italian population.
引用
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页码:515 / 520
页数:6
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