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Morphometric analysis of dry atlas vertebrae in a northeastern Thai population and possible correlation with sex

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Abstract

Purpose

The uppermost segment of the cervical vertebra or atlas (C1) is a critically important anatomical structure, housing the medulla oblongata and containing the grooves for the C1 spinal nerve and the vertebral vessels. Variations of the C1 vertebra can affect upper spine stability, and morphometric parameters have been reported to differ by population. However, there are few data regarding these parameters in Thais. The use of this bone to predict sex and age has never been reported.

Methods

This study aimed to examine C1 morphometry and determine its ability to predict sex. Twelve diameter parameters were taken from the C1 vertebrae of identified skeletons (n = 104, males [n, 54], females [n, 50]). Correlation analysis was also performed for sex and age, which were predicted using machine learning algorithms.

Results

The results showed that 8 of the 12 measured parameters were significantly longer in the male atlas (p < 0.05), while the remaining 4 (distance between both medial-most edges of the transverse foramen, transverse dimension of the superior articular surface, frontal plane passing through the canal’s midpoint, and anteroposterior dimension of the inferior articular surface) did not differ significantly by sex. There was no statistically significant difference in these parameters on the lateral side. The decision stump classifier was trained on C1 parameters, and the resulting model could predict sex with 82.6% accuracy (root mean square error = 0.38).

Conclusion

Assertation of the morphometric parameters of the atlas is important for preoperative assessment, especially for the treatment of atlas dislocation. Our findings also highlighted the potential use of atlas measurements for sex prediction.

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References

  1. Ahn JK, Hwang JW, Oh JM, Lee J, Lee YS, Jeon CH, Cha HS, Koh EM (2011) Risk factors for development and progression of atlantoaxial subluxation in Korean patients with rheumatoid arthritis. Rheumatol Int 31:1363–1368. https://doi.org/10.1007/s00296-010-1437-y

    Article  Google Scholar 

  2. Ansari M, Singla M, Ravi K, Goel P, Kumar R (2015) Morphometric analysis of atlas and its clinical significance: an anatomical study of Indian human atlas vertebrae. Indian J Neurosurg 4:92–97. https://doi.org/10.1055/s-0035-1558967

    Article  Google Scholar 

  3. Bandovic I, Holme MR, Futterman B (2022) Anatomy, bone markings. In: StatPearls. Treasure Island (FL)

  4. Cadena G, Duong HT, Liu JJ, Kim KD (2018) Atlantoaxial fixation using C1 posterior arch screws: feasibility study, morphometric data, and biomechanical analysis. J Neurosurg Spine 30:314–322. https://doi.org/10.3171/2018.8.SPINE18160

    Article  Google Scholar 

  5. Chaichun A, Yurasakpong L, Suwannakhan A, Iamsaard S, Arun S, Chaiyamoon A (2021) Gross and radiographic appearance of porotic hyperostosis and cribra orbitalia in thalassemia affected skulls. Anat Cell Biol 54:280–284. https://doi.org/10.5115/acb.20.323

    Article  Google Scholar 

  6. Filho NMF, Arantes R, do Nascimento AL, Herrero C (2020) Morphometric study of the atlas. Rev Bras Ortop 55:62–69. https://doi.org/10.1055/s-0039-1700814

    Article  Google Scholar 

  7. Frank E, Hall MA, Witten IH (2016) The WEKA workbench. Online appendix for data mining: practical machine learning tools and techniques. In: Morgan Kaufmann. Morgan Kaufmann Publishers, Burlington,

  8. Gosavi SN, Vatsalaswamy P (2012) Morphometric study of the atlas vertebra using manual method. Malays Orthop J 6:18–20. https://doi.org/10.5704/MOJ.1207.015

    Article  Google Scholar 

  9. Guan Q, Chen L, Long Y, Xiang Z (2017) Iatrogenic vertebral artery injury during anterior cervical spine surgery: a systematic review. World Neurosurg 106:715–722. https://doi.org/10.1016/j.wneu.2017.07.027

    Article  Google Scholar 

  10. Guo J, Lu W, Ji X, Ren X, Tang X, Zhao Z, Hu H, Song T, Du Y, Li J, Shao C, Xu T, Xi Y (2020) Surgical treatment of atlantoaxial subluxation by intraoperative skull traction and C1–C2 fixation. BMC Musculoskelet Disord 21:239. https://doi.org/10.1186/s12891-020-03273-7

    Article  Google Scholar 

  11. Iwanaga J, Singh V, Takeda S, Ogeng’o J, Kim HJ, Moryś J, Ravi KS, Ribatti D, Trainor PA, Sañudo JR (2022) Standardized statement for the ethical use of human cadaveric tissues in anatomy research papers: Recommendations from anatomical journal editors-in-chief. Clin Anat 35:526–528. https://doi.org/10.1002/ca.23849

    Article  Google Scholar 

  12. Kim JH, Kwak DS, Han SH, Cho SM, You SH, Kim MK (2013) Anatomic consideration of the C1 laminar arch for lateral mass screw fixation via C1 lateral lamina: a landmark between the lateral and posterior lamina of the C1. J Korean Neurosurg Soc 54:25–29. https://doi.org/10.3340/jkns.2013.54.1.25

    Article  CAS  Google Scholar 

  13. Lee CK, Tan TS, Chan CYW, Kwan MK (2017) Surgical morphometry of C1 and C2 vertebrae: a three-dimensional computed tomography analysis of 180 Chinese, Indian, and Malay patients. Asian Spine J 11:181–189. https://doi.org/10.4184/asj.2017.11.2.181

    Article  Google Scholar 

  14. Mahiphot J, Iamsaard S, Sawatpanich T, Sae-Jung S, Khamanarong K (2019) A morphometric study on subaxial cervical pedicles of Thai people. Spine 44:E579–E584. https://doi.org/10.1097/BRS.0000000000002920

    Article  Google Scholar 

  15. Mead LB 2nd, Millhouse PW, Krystal J, Vaccaro AR (2016) C1 fractures: a review of diagnoses, management options, and outcomes. Curr Rev Musculoskelet Med 9:255–262. https://doi.org/10.1007/s12178-016-9356-5

    Article  Google Scholar 

  16. Morales-Avalos R, Villarreal-Garcia FI, Requena-Araujo PM, Guzmán-López S, Sanchez-Mejorada G, Esparza-Hernandez CN, Fl V-C, Acosta-Olivo C, VcM P-M, Elizondo-Omaña RE (2019) Morphometric anatomy of clinical importance of the atlas in relation to the stabilization of the atlantoaxial and occipitocervical complex. Int J Morphol 37:98–103. https://doi.org/10.4067/S0717-95022019000100098

    Article  Google Scholar 

  17. Nagahama K, Sudo H, Abumi K, Ito M, Takahata M, Hiratsuka S, Kuroki K, Iwasaki N (2014) Anomalous vertebral and posterior communicating arteries as a risk factor in instrumentation of the posterior cervical spine. Bone Joint J. 96-b:535–540. https://doi.org/10.1302/0301-620x.96b4.33210

    Article  CAS  Google Scholar 

  18. Oshiro TM, Perez PS, Baranauskas JA (2012) How many trees in a random forest? International workshop on machine learning and data mining in pattern recognition. Springer, Berlin, pp 154–168

    Chapter  Google Scholar 

  19. Patel NP, Gupta DS (2016) A morphometric study of adult human atlas vertebrae in South Gujarat population, India. Int J Res Med Sci. 4:4380–4386. https://doi.org/10.18203/2320-6012.ijrms20163297

    Article  Google Scholar 

  20. Praneatpolgrang S, Prasitwattanaseree S, Mahakkanukrauh P (2019) Age estimation equations using vertebral osteophyte formation in a Thai population: comparison and modified osteophyte scoring method. Anat Cell Biol 52:149–160. https://doi.org/10.5115/acb.2019.52.2.149

    Article  Google Scholar 

  21. Rusconi A, Peron S, Roccucci P, Stefini R (2021) The internal carotid artery and the atlas: anatomical relationship and implications for C1 lateral mass fixation. Surg Radiol Anat 43:87–92. https://doi.org/10.1007/s00276-020-02537-0

    Article  Google Scholar 

  22. Şengül G, Kadioğlu HH (2006) Morphometric anatomy of the atlas and axis vertebrae. Turk Neurosurg 16:69–76

    Google Scholar 

  23. Suman P, Cariappa LC, Mahato RK (2017) Morphometric analysis of superior articular facets of atlas vertebra and its clinical applications. J Evol Med Dent Sci 6:4912–4917

    Article  Google Scholar 

  24. Uabundit N, Chaiyamoon A, Iamsaard S, Yurasakpong L, Nantasenamat C, Suwannakhan A, Phunchago N (2021) Classification and morphometric features of pterion in Thai population with potential sex prediction. Medicina 57:1282. https://doi.org/10.3390/medicina57111282

    Article  Google Scholar 

  25. Yamada T, Yoshii T, Matsukura Y, Oyaizu T, Yuasa M, Hirai T, Sakaki K, Inose H, Torigoe I, Sakai K, Okawa A, Arai Y (2019) Retrospective analysis of surgical outcomes for atlantoaxial subluxation. J Orthop Surg Res 14:75. https://doi.org/10.1186/s13018-019-1112-2

    Article  Google Scholar 

  26. Yurasakpong L, Nantasenamat C, Janta S, Eiamratchanee P, Coey J, Chaiyamoon A, Kruepunga N, Senarai T, Langer MF, Meemon K, Suwannakhan A (2022) The decreasing prevalence of the thyroid ima artery: a systematic review and machine learning assisted meta-analysis. Ann Anat 239:151803. https://doi.org/10.1016/j.aanat.2021.151803

    Article  Google Scholar 

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Acknowledgements

The authors sincerely thank those who donated their bodies to science so that anatomical research could be performed. Results from such research can potentially increase mankind's overall knowledge that can then improve patient care. Therefore, these donors and their families deserve our highest gratitude [11]. We would also like to acknowledge Dr. Dylan Southard for editing this MS via the KKU Publication Clinic (Thailand).

Funding

This research received no external funding.

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Authors and Affiliations

Authors

Contributions

CP, AS and AC: protocol and project establishment. TC, YK and LY: data collection, material resources. AC, AS, CN, SI: data analysis. AC, SI: manuscript writing and editing.

Corresponding authors

Correspondence to Sitthichai Iamsaard or Arada Chaiyamoon.

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The authors declare no conflict of interest.

Ethical approval

The Office of The Khon Kaen University Ethics Committee in Human Research has approved this study (approval number: HE631363).

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Poodendan, C., Suwannakhan, A., Chawalchitiporn, T. et al. Morphometric analysis of dry atlas vertebrae in a northeastern Thai population and possible correlation with sex. Surg Radiol Anat 45, 175–181 (2023). https://doi.org/10.1007/s00276-022-03076-6

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