Ed data not of new original investigation. Information Availability Statement: All information talked about within this evaluation happen to be previously published and are inside the public domain. Conflicts of Interest: The authors declare that this assessment was written inside the absence of any industrial or monetary relationships that could be construed as a prospective conflict of interest.medicinaArticleClassification and Morphometric Options of Pterion in Thai Population with Prospective Sex PredictionNongnut Uabundit 1 , Arada Chaiyamoon 1 , Sitthichai Iamsaard 1 , Laphatrada Yurasakpong 2 , Chanin Nantasenamat 3 , Athikhun Suwannakhan 2 and Nichapa Phunchago 1, Division of Anatomy, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand; [email protected] (N.U.); [email protected] (A.C.); [email protected] (S.I.) In Silico and Clinical Anatomy Study Group (iSCAN), Department of Anatomy, Faculty of Science, Mahidol University, Bangkok 10400, Thailand; laphatrada.yur@gmail (L.Y.); [email protected] (A.S.) Center of Data Mining and Biomedical Informatics, Faculty of Healthcare Technologies, Mahidol University, Bangkok 10400, Thailand; [email protected] Correspondence: [email protected]: Uabundit, N.; Chaiyamoon, A.; Iamsaard, S.; Yurasakpong, L.; Nantasenamat, C.; Suwannakhan, A.; Phunchago, N. Classification and Morphometric Options of Pterion in Thai Population with Possible Sex Prediction. Medicina 2021, 57, 1282. 10.3390/ medicina57111282 Academic Editor: Michael L. Pretterklieber 2-Phenylpropionic acid References Received: 7 October 2021 Accepted: 18 November 2021 Published: 21 NovemberAbstract: Background and Objectives: The landmark for neurosurgical approaches to access brain lesion would be the pterion. The aim with the present study will be to classify and examine the prevalence of all kinds of pterion variations and carry out morphometric measurements from previously defined anthropological landmarks. Components and techniques: One-hundred and twenty-four Thai dried skulls have been investigated. Classification and morphometric measurement on the pterion was performed. Machine studying models have been also used to interpret the morphometric findings with respect to sex and age estimation. Results: Spheno-parietal type was probably the most popular form (62.1), followed by epipteric (11.7), fronto-temporal (five.two) and stellate (1.two). Comprehensive synostosis of the pterion suture was present in 18.5 and was only present in males. Whilst most morphometric measurements were equivalent involving males and females, the distances in the pterion center towards the mastoid process and to the external occipital protuberance had been longer in males. Random forest algorithm could TNP-470 Formula predict sex with 80.7 accuracy (root mean square error = 0.38) when the pterion morphometric data had been supplied. Correlational evaluation indicated that the distances from the pterion center for the anterior aspect with the frontozygomatic suture and to the zygomatic angle had been positively correlated with age, which may possibly serve as basis for age estimation in the future. Conclusions: Additional studies are necessary to discover the use of machine mastering in anatomical studies and morphometry-based sex and age estimation. Thorough understanding of the anatomy in the pterion is clinically helpful when arranging pterional craniotomy, particularly when the position with the pterion may possibly modify with age. Search phrases: pterion; skull; suture; morphometric analysis; anatomical variation; machine learningPublisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published.