Parietal emissary foramina (PEF) are an important structure which the parietal emissary vein passes through. Aims of this study were to study morphometry of the PEF and its clinical implications. The present study examined in 800 parietal bones (400 Thai skulls; 200 males and 200 females). A total of 587 emissary foramina were found in 344 skulls. The PEF were found on the right side (298), left side (256). One hundred fifty-five unilateral, 189 bilateral, and 33 center of PEF were found in our study. The average of foramina to sagittal suture were 5.67 ± 2.73 mm on the right and 5.91 ± 2.37 mm on the left in male, while in female it was 5.28 ± 2.61 mm on the right and 5.48 ± 2.54 mm on the left. The shape was mostly circular with mean diameter of 1.27 ± 0.56 mm on the right, 1.23 ± 0.52 on the left and 1.11 ± 0.49 mm at the center in male. In female, the mean diameter of 1.19 ± 0.42 mm on the right, 1.12 ± 0.41 mm on the left and 1.60 ± 0.92 mm at the center. The ratio of distance from the external occipital protuberance (EOP)to PEF and to glabella in males on the right side is 0.342 cm. (3/8) and 0.349 cm. (3/8) on the left side. While the ratio of females is 0.367 cm. (3/8) and 0.388 cm. (3/8), respectively. Our finding obtained in this study scientists can be essentially benefited for anatomists, radiologists, neurosurgeons, and forensic to aware this anatomical structure.

Age at death estimation has always been a crucial yet challenging part of identification process in forensic field. The use of human skeletons have long been explored using the principle of macro and micro-architecture change in correlation with increasing age. The clavicle is recommended as the best candidate for accurate age estimation because of its accessibility, time to maturation and minimal effect from weight. Our study applies pre-trained convolutional neural network in order to achieve the most accurate and cost effective age estimation model using clavicular bone. The total of 988 clavicles of Thai population with known age and sex were radiographed using Kodak 9000 Extra-oral Imaging System. The radiographs then went through preprocessing protocol which include region of interest selection and quality assessment. Additional samples were generated using generative adversarial network. The total clavicular images used in this study were 3,999 which were then separated into training and test set, and the test set were subsequently categorized into 7 age groups. GoogLeNet was modified at two layers and fine tuned the parameters. The highest validation accuracy was 89.02% but the test set achieved only 30% accuracy. Our results show that the use of medial clavicular radiographs has a potential in the field of age at death estimation, thus, further study is recommended.