To establish regression models for age estimation from the combination of the ossification of iliac crest and ischial tuberosity. One thousand three hundred and seventy-nine conventional pelvic radiographs at the West China Hospital of Sichuan University between January 2010 and June 2012 were evaluated retrospectively. The receiver operating characteristic analysis was performed to measure the value of estimation of 18 years of age with the classification scheme for the iliac crest and ischial tuberosity. Regression analysis was performed, and formulas for calculating approximate chronological age according to the combination developmental status of the ossification for the iliac crest and ischial tuberosity were developed. The areas under the receiver operating characteristic (ROC) curves were above 0.9 (p < 0.001), indicating a good prediction of the grading systems, and the cubic regression model was found to have the highest R-square value (R (2) = 0.744 for female and R (2) = 0.753 for male). The present classification scheme for apophyseal iliac crest ossification and the ischial tuberosity may be used for age estimation. And the present established cubic regression model according to the combination developmental status of the ossification for the iliac crest and ischial tuberosity can be used for age estimation.
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Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan UniversityShanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University
Haiping ZHU
Yuheng ZHANG
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Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan UniversityShanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University
Yuheng ZHANG
Guohao LI
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Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan UniversityShanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University
Guohao LI
Junping ZHANG
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Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan UniversityShanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University
Junping ZHANG
Hongming SHAN
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Department of Biomedical Engineering, Rensselaer Polytechnic InstituteShanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University
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All India Inst Med Sci, Dept Forens Med & Toxicol, Jodhpur 342005, Rajasthan, IndiaAll India Inst Med Sci, Dept Forens Med & Toxicol, Jodhpur 342005, Rajasthan, India
Warrier, Varsha
Shedge, Rutwik
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Natl Forens Sci Univ, Sch Forens Sci, Agartala 799001, IndiaAll India Inst Med Sci, Dept Forens Med & Toxicol, Jodhpur 342005, Rajasthan, India
Shedge, Rutwik
Garg, Pawan Kumar
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All India Inst Med Sci, Dept Diagnost & Intervent Radiol, Jodhpur 342005, Rajasthan, IndiaAll India Inst Med Sci, Dept Forens Med & Toxicol, Jodhpur 342005, Rajasthan, India
Garg, Pawan Kumar
Dixit, Shilpi Gupta
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All India Inst Med Sci, Dept Anat, Jodhpur 342005, Rajasthan, IndiaAll India Inst Med Sci, Dept Forens Med & Toxicol, Jodhpur 342005, Rajasthan, India
Dixit, Shilpi Gupta
Krishan, Kewal
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Panjab Univ, Dept Anthropol, UGC Ctr Adv Study, Chandigarh 160014, IndiaAll India Inst Med Sci, Dept Forens Med & Toxicol, Jodhpur 342005, Rajasthan, India
Krishan, Kewal
Kanchan, Tanuj
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All India Inst Med Sci, Dept Forens Med & Toxicol, Jodhpur 342005, Rajasthan, IndiaAll India Inst Med Sci, Dept Forens Med & Toxicol, Jodhpur 342005, Rajasthan, India
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Univ Sharjah, Dept Elect & Comp Engn, POB 27272, Sharjah, U Arab Emirates
Univ Western Ontario, Dept Elect & Comp Engn, London, ON, CanadaUniv Sharjah, Dept Elect & Comp Engn, POB 27272, Sharjah, U Arab Emirates
Nassif, Ali Bou
Azzeh, Mohammad
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Appl Sci Private Univ, Dept Software Engn, POB 166, Amman, JordanUniv Sharjah, Dept Elect & Comp Engn, POB 27272, Sharjah, U Arab Emirates
Azzeh, Mohammad
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Idri, Ali
Abran, Alain
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Ecole Technol Super, Dept Software Engn, Montreal, PQ, CanadaUniv Sharjah, Dept Elect & Comp Engn, POB 27272, Sharjah, U Arab Emirates
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Setsunan Univ, Fac Econ, 17-8 Ikeda Nakamachi, Neyagawa, Osaka 5728508, JapanSetsunan Univ, Fac Econ, 17-8 Ikeda Nakamachi, Neyagawa, Osaka 5728508, Japan
Hirukawa, Masayuki
Prokhorov, Artem
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Univ Sydney, Business Sch, Discipline Business Analyt, H04-499 Merewether Bldg, Sydney, NSW 2006, Australia
St Petersburg State Univ, St Petersburg, Russia
Innopolis Univ, Kazan, RussiaSetsunan Univ, Fac Econ, 17-8 Ikeda Nakamachi, Neyagawa, Osaka 5728508, Japan