Acta Anthropologica Sinica ›› 2019, Vol. 38 ›› Issue (02): 245-253.doi: 10.16359/j.cnki.cn11-1963/q.2018.0027

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Observations and discussions of arachnoid granulation pits on the ancient human skeletons from Shandong Province

ZHANG Xiaowen1(), GUO Junfeng2, WANG Zimeng3, HAO Daohua3, ZHAO Yongsheng4, ZHU Chao3, CHEN Xuexiang4, ZENG Wen4   

  1. 1. The School of History and Culture, Shandong University, Jinan 250100
    2. Jinan City Institute of Archaeology, Jinan 250014
    3. Shandong Provincial Institute of Cultural Relics and Archaeology, Jinan 250012
    4. Institute of Culture Heritage, Shandong University, Jinan 250100
  • Received:2017-01-17 Revised:2017-11-27 Online:2019-05-15 Published:2020-09-10
  • Contact: ZENG Wen E-mail:m13842036352@163.com

Abstract:

Arachnoid granulations, which are formed by arachnoid villus, can cause localized surface impressions in skeletal material, specifically dissolution-like small pits that are often misidentified as pathological lesions. In this paper, 114 human skeletal specimens unearthed from six sites, including Ji’nan Da Xinzhuang, Liu Jiazhuang and Qufu Olympic Sports Center were examined. The results of this research are as follows. 1) There is a high incidence of arachnoid granulation pits from ancient times to the present with no obvious difference between the sexes. 2) The maximum mean diameter of arachnoid membrane depressions is roughly 1-6mm with a significant difference between individuals increasing with age. 3) Locations of Pacchionian pits are most common in the parietal and frontal bones, with rare frequency in the occipital. Locations may differ between age groups. In conclusion, these dissolution-like small pits formed by arachnoid granulations, are easily confused with diseases characterized by bone erosion, such as intracranial infection, diploe of skull epidermoid cyst, eosinophilic granuloma and meningioma, and therefore osteologists should pay attention to their characteristics.

Key words: Ancient skeletons, Shandong, Arachnoid granulation pits, Characteristics, Identification

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