本文選題：青少年　切入點(diǎn)：頜面部X線影像測(cè)量數(shù)據(jù)　出處：《山西醫(yī)科大學(xué)》2010年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】： 目的 應(yīng)用青少年頜面部X線影像測(cè)量數(shù)據(jù),建立青少年性別判別、身高推斷、年齡推斷的方法,為法醫(yī)鑒定提供新的指標(biāo)和新方法。 方法 采用隨機(jī)整群抽樣的方法,抽取于2009年8月-10月期間山西醫(yī)科大學(xué)口腔醫(yī)院就診的兒童、青少年患者273名,統(tǒng)一于2009年10月前進(jìn)行頭顱定位照相,獲得檢測(cè)對(duì)象的頭顱側(cè)位X線像。采用自行設(shè)計(jì)的《山西省青少年X線頭影測(cè)量調(diào)查表》,由口腔正畸學(xué)專(zhuān)業(yè)研究生對(duì)每張檢測(cè)對(duì)象的頭顱側(cè)位X線像進(jìn)行指標(biāo)測(cè)量。調(diào)查項(xiàng)目包括性別、出生日期、籍貫、民族、身高(cm)、體重(kg)、檢測(cè)時(shí)間等7個(gè)基本指標(biāo)和SNA角、SNB角、ANB角、NP-FH面角、Y軸角、NA-PA(頜凸角)、MP-FH(下頜平面角)、SN-MP角、1-SN角、1-MP角、1-NA角、1-NB角和1-T角、1-NA距和1-NB距等15個(gè)影像測(cè)量數(shù)據(jù)。使用SPSS 11.5統(tǒng)計(jì)分析軟件建立數(shù)據(jù)庫(kù),采用判別分析方法建立性別判別公式,并采用Cross-validated(a)法對(duì)本判別方法進(jìn)行評(píng)價(jià)；采用多元逐步回歸分析方法分別建立身高推斷和年齡推斷公式。 結(jié)果 在被調(diào)查的273名青少年中,年齡最小者9.17歲,最大者18.93歲；按年齡段分為5組,其中以11-12歲者最多,占到41.76%,其后依次為9-歲(5.13%)、13-歲(35.90%)、15-歲(12.09%)、17-歲(5.13%)；以女性為多,其中女170人(62.27%),男103人(37.73%)；身高140-cm的21人(7.69%)、150-cm的88人(32.23%)、160-cm的113人(41.39%)、170-cm的47人(17.22%)、180-cm的4人(1.47%)。 1、性別判別方法的建立 男性與女性青少年分別用符號(hào)g=1和g=2代表,使用SPSS 15.0軟件采用逐步法(stepwise discrimination analysis)進(jìn)行Fisher判別,引入性別判別公式的有一個(gè)變量(ln[MP-FH面角])。典型判別方程的方差分析結(jié)果顯示,其特征值(Eigenvalue)即組間平方和與組內(nèi)平方和之比為1.015,典型相關(guān)系數(shù)(Canonical Corr)為0.821,Wilks的λ值為0.485,經(jīng)X2檢驗(yàn),X2為24.22,P0.05。根據(jù)標(biāo)準(zhǔn)化典則判別系數(shù),其標(biāo)準(zhǔn)化典則判別公式為：Y=-10.251+3.029ln[MP-FH面角]。分別將男、女的ln[MP-FH面角]均值帶入上方程,獲得其平均判別值Y1和Y2,如表1-12,Y1=-0.156,Y2=0.095,則判別臨界值Yc=(Y1+Y2)／2=-0.0305。由于Y1Y2,從而得到判別規(guī)則為：將一個(gè)新樣本的MP-FH面角值帶入Y=-10.251+3.029 ln[MP-FH面角]后獲得Y值,將Y值與Yc=-0.0305比較,如果YYc則判別為女性,如果YYc則判別為男性。采用Cross-validated(a)法對(duì)本研究使用的273組數(shù)據(jù)進(jìn)行驗(yàn)證性判別,總判別符合率為75.46%；男性103人,判斷正確80人,正確率為77.67%；女性170人,判斷正確126人,正確率為74.12%。 2、身高推斷方法的建立 以身高(cm)為Y,15個(gè)指標(biāo)分別為X1-X15,使用SPSS 15.0軟件采用逐步法(stepwise)進(jìn)行多元線性回歸分析。結(jié)果顯示,R2=0.053,經(jīng)方差分析F=7.992,有統(tǒng)計(jì)學(xué)意義(P0.01)。X13(1-T角)和X12(1-NB角)引入方程,其身高推斷的回歸方程為：Y=132.381+0.183X13+0.178X12。將原始數(shù)據(jù)分別進(jìn)行自然對(duì)數(shù)轉(zhuǎn)換后,再次使用SPSS 15.0軟件采用逐步法(stepwise)進(jìn)行多元線性回歸分析,結(jié)果顯示,R2=0.080,經(jīng)方差分析F=12.317,有統(tǒng)計(jì)學(xué)意義(P0.01)。X13(ln[1-T角])和X12(ln[1-NB角])引入方程,其身高推斷的回歸方程為：Y=50.540+18.820X13+5.776X12。該結(jié)果說(shuō)明,青少年的身高與1-T角和1-NB角的大小(或自然對(duì)數(shù)值)呈正相關(guān),1-T角的作用大于1-NB角的作用。 3、年齡推斷方法的建立 以年齡(歲)為Y,15個(gè)指標(biāo)分別為Xl-X15,使用SPSS 15.0軟件采用逐步法(stepwise)進(jìn)行多元線性回歸分析。結(jié)果顯示,R2=0.038,經(jīng)方差分析F=5.702,有統(tǒng)計(jì)學(xué)意義(P0.01)。X13(1-T角)和X3(ANB角)引入方程,其年齡推斷的回歸方程為：Y=16.402-0.024X13+0.039X3。將原始數(shù)據(jù)分別進(jìn)行自然對(duì)數(shù)轉(zhuǎn)換后,再次使用SPSS 15.0軟件采用逐步法(stepwise)進(jìn)行多元線性回歸分析,結(jié)果顯示,R2=0.057,經(jīng)方差分析F=8.594,有統(tǒng)計(jì)學(xué)意義(P0.01)。X12(ln[1-NB角])和X4 (ln[NP-FH面角])引入方程,其年齡推斷的回歸方程為：Y=17.575+0.897X12-1.237X4。該結(jié)果說(shuō)明,青少年的年齡與1-NB角的大小(或自然對(duì)數(shù)值)呈正相關(guān),與NP-FH面角的大小(或自然對(duì)數(shù)值)呈負(fù)相關(guān),NP-FH面角的作用大于1-NB角的作用。 結(jié)論 1、本研究根據(jù)頜面部X線影像測(cè)量數(shù)據(jù)建立了青少年的性別判別方法,為法醫(yī)人類(lèi)學(xué)的青少年性別判別提供了新的指標(biāo)和判別方法。 2、本研究根據(jù)頜面部X線影像測(cè)量數(shù)據(jù)建立了青少年身高推斷方法,其推斷公式為Y=132.381+0.183X13(1-T角)+0.178X12(1-NB角)和Y=50.540+18.820X13(ln[1-T角])+5.776X12(ln[1-NB角]),為法醫(yī)人類(lèi)學(xué)的青少年身高推斷提供了新的指標(biāo)和判別方法。。 3、本研究根據(jù)頜面部X線影像測(cè)量數(shù)據(jù)建立了青少年年齡推斷方法,其推斷公式為Y=16.402-0.024X13(1-T角)+0.039X3(ANB角)和Y=17.575+0.897X12 (ln[1-NB角])-1.237X4(ln[NP-FH面角]),為法醫(yī)人類(lèi)學(xué)的青少年年齡推斷提供了新的指標(biāo)和判別方法。
[Abstract]:objective
Based on the measurement data of adolescent facial and maxillofacial radiography, we set up a method of adolescent sex discrimination, height estimation and age inference, providing new indicators and new methods for forensic identification.
Method
Using random cluster sampling method, extraction in children hospital Stomatological Hospital of Shanxi Medical University during -10 months of August 2009, 273 young patients, the unity of the photographic head positioning before October 2009, obtain cephalometric radiographs for detecting objects. The self-designed < Shanxi Province young cephalometric questionnaire > by orthodontics graduate of cephalometric radiographs of each detected object index measurement. The survey included gender, date of birth, place of birth, nationality, height (CM), weight (kg), the detection time of 7 basic index and SNA angle, SNB angle, ANB angle, NP-FH angle, Y angle. NA-PA, MP-FH (angle of convexity) (mandibular plane angle), SN-MP angle, 1-SN angle, 1-MP angle, 1-NA angle, 1-NB angle and 1-T angle, 1-NA distance and 1-NB distance of 15 image measurement data. 11.5 statistical analysis software to establish a database using SPSS method established by discriminant analysis The gender discriminant formula was evaluated by Cross-validated (a) method, and the stepwise regression analysis method was used to establish height inference and age estimation formula respectively.
Result
In the survey of 273 teenagers, the youngest 9.17 years old, the oldest was 18.93 years old; according to age, divided into 5 groups, with 11-12 years most, accounted for 41.76%, followed by 9- (5.13%), 13- (35.90%), 15- (12.09%), 17- (5.13% years old); to many women, of which 170 were female (62.27%), 103 male (37.73%); 21 height 140-cm (7.69%), 150-cm 88 (32.23%), 160-cm 113 (41.39%), 170-cm 47 (17.22%), 180-cm 4 (1.47%).
1, the establishment of gender discrimination method
Male and female adolescents respectively by the symbol g=1 and g=2, using SPSS 15 software using stepwise method (stepwise discrimination analysis) Fisher discriminant, the sex discriminant formula has a variable (ln[MP-FH angle "). Typical variance analysis discriminant equation showed that the characteristic value (Eigenvalue) is the sum of squares between groups square and group and the ratio of 1.015, the canonical correlation coefficient (Canonical Corr) 0.821, Wilks value was 0.485, by X2 test, X2 24.22, P0.05. according to the standardized canonical discriminant coefficient, the standardized canonical discriminant formula: Y=-10.251+3.029ln[MP-FH angle. The male, ln[MP-FH female angle] mean into the equation, get the average discriminant values of Y1 and Y2, as shown in table 1-12, Y1=-0.156, Y2=0.095, Yc=, discriminant critical value (Y1+Y2) / 2=-0.0305. as Y1Y2, so as to obtain the rules for discrimination: a new sample of MP-FH surface The angle value into Y=-10.251+3.029 angle ln[MP-FH] to be Y, the Y value compared with Yc=-0.0305, if YYc is discrimination for women, if it is judged as male. YYc by Cross-validated (a) was used to distinguish 273 groups of data used in this study, the total coincidence rate was 75.46%; 103 men. Right 80, the correct rate is 77.67%; 170 female, right 126, the correct rate is 74.12%.
2, the establishment of the method of height inference
The height (CM) of Y, 15 indexes were X1-X15, using the SPSS 15 software (stepwise) method using stepwise multiple linear regression analysis. The results showed that R2=0.053 and F=7.992 were analyzed by analysis of variance, there was statistical significance (P0.01).X13 (1-T angle) and X12 (1-NB angle) into the equation, the regression equation the inference of height is Y=132.381+0.183X13+0.178X12. of the original data were natural log transformed, again using the SPSS 15 software (stepwise) method using stepwise multiple linear regression analysis showed that R2=0.080, F and =12.317 were analyzed by analysis of variance, there was statistical significance (P0.01.X13 (ln[1-T)] and X12 angle (ln[1-NB angle)]) introduction the equation of regression equations for stature estimation: Y=50.540+18.820X13+5.776X12. the result shows that adolescent height and 1-T angle and 1-NB angle (or the natural logarithm of the 1-T angle) was positively related to more than 1-NB angle.
3, the establishment of age inference method
By age (years) is Y, 15 indexes were Xl-X15, using the SPSS 15 software (stepwise) method using stepwise multiple linear regression analysis. The results showed that R2=0.038 and F=5.702 were analyzed by analysis of variance, there was statistical significance (P0.01).X13 (1-T angle) and X3 (ANB angle) into the equation, the regression equation age is Y=16.402-0.024X13+0.039X3. of the original data were natural log transformed, again using the SPSS 15 software (stepwise) method using stepwise multiple linear regression analysis showed that R2=0.057, by the analysis of variance was statistically significant (F= 8.594, P0.01.X12 (ln[1-NB)] and X4 (ln[NP-FH angle) angle]) the introduction of equation, the regression equation for the estimation of age: Y=17.575+0.897X12-1.237X4. the results showed that the age of adolescents with 1-NB angle (or the natural logarithm of the positive correlation) and NP-FH surface angle (or natural logarithm) negative phase The effect of NP-FH angle is greater than that of 1-NB angle.
conclusion
1, based on the measurement data of maxillofacial X-ray images, we established a gender discrimination method for adolescents, which provided new indicators and discriminant methods for sex discrimination in forensic anthropology.
2, this study established that adolescent height method according to the maxillofacial X-ray measurement data, the deduced formula is Y=132.381+0.183X13 (1-T) +0.178X12 (1-NB) and Y=50.540+18.820X13 (ln[1-T] +5.776X12 angle (ln[1-NB angle)]), provides a new index and discrimination method. Adolescent height inference in forensic anthropology
3, this study established the adolescent age estimation method based on maxillofacial X-ray measurement data, the deduced formula is Y=16.402-0.024X13 (1-T) +0.039X3 (ANB) and Y=17.575+0.897X12 (ln[1-NB] -1.237X4 angle (ln[NP-FH angle)]), provides a new index and identification method for forensic science of youth age.

【學(xué)位授予單位】：山西醫(yī)科大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2010
【分類(lèi)號(hào)】：D919.4

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