Balla Sudheer B, Banda Thirupathi Reddy, Galic Ivan, N Naga Madhuri, Naishadham P Parameswar
Department of Forensic Odontology, Panineeya Mahavidyalaya Institute of Dental Sciences, Hyderabad, Telangana, India.
Department of Prosthodontics, Penang International Dental College, Malaysia.
Forensic Sci Int. 2019 Apr;297:243-248. doi: 10.1016/j.forsciint.2019.02.009. Epub 2019 Feb 18.
The aims of the present study were to validate the discriminatory potential of Cameriere's third molar maturity index (I) cut-off value of I < 1.1 and whether closed apices of permanent second mandibular molar (I = 0.0) and I < 1.1 indicate the legal age of 14 years and older. A digital orthopantomograms of 804 healthy South Indian children, aged between 10 and 18 years, were collected retrospectively, and mineralization of the third and second left mandibular molars was analyzed by Cameriere's method. The proportion of accurately classified (Ac) individuals using the cut-off value of I < 1.1 was 79.4% for males, with Bayes post-test probability (Bayes PTP) of 68.8%. For females, Ac was 79.9% and Bayes PTP was 70.9%. The sensitivity was 94.8% and 98.2% for males and females, and the specificity was 58.7% and 62.8%, respectively. The combination of both variables, I < 1.1 and I = 0.0, increased the Ac to 87.2% and 94.4% in males and females, the specificity to 98.6% and 99.2%, and Bayes PTP to 98.2% and 94.4%, respectively. In conclusion, the suggested cut-off value of I < 1.1 is of moderate accuracy in discriminating individuals between 14 years or older from those under 14 years in the studied population. A combination of both variables, I = 0.0 and I < 1.1, the discriminating test achieves an excellent specificity and Bayes PTP, which is mandatory for the forensic and medicolegal purposes.
本研究的目的是验证卡梅里耶第三磨牙成熟度指数(I)临界值I < 1.1的判别潜力,以及恒下颌第二磨牙的根尖闭合(I = 0.0)和I < 1.1是否表明法定年龄为14岁及以上。回顾性收集了804名年龄在10至18岁之间的健康南印度儿童的数字化曲面断层片,并采用卡梅里耶方法分析了左下颌第三和第二磨牙的矿化情况。使用I < 1.1的临界值准确分类(Ac)的男性比例为79.4%,贝叶斯后验概率(Bayes PTP)为68.8%。女性的Ac为79.9%,Bayes PTP为70.9%。男性和女性的敏感性分别为94.8%和98.2%,特异性分别为58.7%和62.8%。I < 1.1和I = 0.0这两个变量的组合,使男性和女性的Ac分别提高到87.2%和94.4%,特异性提高到98.6%和99.2%,Bayes PTP分别提高到98.2%和94.4%。总之,建议的I < 1.1临界值在区分研究人群中14岁及以上和14岁以下个体方面具有中等准确性。I = 0.0和I < 1.1这两个变量的组合,判别测试具有出色的特异性和贝叶斯PTP,这对于法医和法医学目的是必不可少的。