Morphometric Study of Pterion in Dry Human Skull at Medical College of Eastern Nepal

Mehta, Umesh Kumar; Dhakal, Arun; Parajuli, Surya Bahadur; Sah, Sanjib Kumar

doi:10.3126/jkahs.v2i3.26658

Cited by 2 publications

(3 citation statements)

References 8 publications

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“…For this reason, it is very important to know the location of the pterion for the pterional approach used in neuro-surgery. 29 Four types of pterion have been described as Sphenoparietal type, Frontotemporal type, Stellate type, and Epipteric type in the literature. The one with the highest incidence of these is the sphenoparietal type with the rate of 74% to 95.3%.…”

Section: Discussionmentioning

confidence: 99%

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Estimating the Person-Specific Location of Pterion Based on Cranial Morphometry

Babacan

Deniz

2021

Journal of Craniofacial Surgery

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Objective: Due to being the weakest sutural junction of the crania and relations with intracranial anatomical structures, the accurate location of the pterion is important for surgical approaches such as in pterional craniotomy. The aim of the study was to develop regression equations to estimate the person-specific accurate location of the pterion based on the cranial morphometry. Materials and Methods: The study was conducted on 22 pterions located 11 dry skulls belonging to Anatomy Department of the Harran University, Medical Faculty. Twelve parameters related to pterion and 23 parameters related to the skull was measured using ImageJ software. SPSS 20.0 was performed for statistical analyses such as descriptive and comparative statistics and developing regression equations. Results: Statistically significant difference wasn’t observed between right and left sides. The 12 equations, such as P8:distance between pterion and the tip of the mastoid process= 63,780 + (1,366 × K6) − (2,786 × K7) + (1,342 × K11) − (1,029 × K13) + (2,102 × K14) − (1,710 × K15) − (0,517 × 22) Adjusted R 2 = 0.995 and Standard Errors = 1.221 were developed to estimate the accurate location of the pterion based on the cranial morphometry. Conclusions: In the previous studies, the mean distances of the pterion to certain landmarks on the crania were given. The authors developed formulas in order to estimate the accurate person-specific location of the pterion. The authors are convinced that the equations they have developed will help neurosurgeons in terms of surgical approaches.

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Section: Discussionmentioning

confidence: 99%

“…For this reason, it is very important to know the location of the pterion for the pterional approach used in neuro-surgery. 29…”

Section: Discussionmentioning

confidence: 99%

Estimating the Person-Specific Location of Pterion Based on Cranial Morphometry

Babacan

Deniz

2021

Journal of Craniofacial Surgery

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“…However, the morphometric measurements of the pterion in Thai skulls in relations to previously defined anthropological landmarks have never been investigated. In addition, skulls with complete synostosis of the pterion suture, in other words, when the pterion suture is completely ossified, were typically excluded from investigation [6]. Therefore, the association between pterion sutural synostosis and factors such as age or sex has never been investigated.…”

Section: Introductionmentioning

confidence: 99%

Classification and Morphometric Features of Pterion in Thai Population with Potential Sex Prediction

et al. 2021

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Background and Objectives: The landmark for neurosurgical approaches to access brain lesion is the pterion. The aim of the present study is to classify and examine the prevalence of all types of pterion variations and perform morphometric measurements from previously defined anthropological landmarks. Materials and methods: One-hundred and twenty-four Thai dried skulls were investigated. Classification and morphometric measurement of the pterion was performed. Machine learning models were also used to interpret the morphometric findings with respect to sex and age estimation. Results: Spheno-parietal type was the most common type (62.1%), followed by epipteric (11.7%), fronto-temporal (5.2%) and stellate (1.2%). Complete synostosis of the pterion suture was present in 18.5% and was only present in males. While most morphometric measurements were similar between males and females, the distances from the pterion center to the mastoid process and to the external occipital protuberance were longer in males. Random forest algorithm could predict sex with 80.7% accuracy (root mean square error = 0.38) when the pterion morphometric data were provided. Correlational analysis indicated that the distances from the pterion center to the anterior aspect of the frontozygomatic suture and to the zygomatic angle were positively correlated with age, which may serve as basis for age estimation in the future. Conclusions: Further studies are needed to explore the use of machine learning in anatomical studies and morphometry-based sex and age estimation. Thorough understanding of the anatomy of the pterion is clinically useful when planning pterional craniotomy, particularly when the position of the pterion may change with age.

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Morphometric Study of Pterion in Dry Human Skull at Medical College of Eastern Nepal

Cited by 2 publications

References 8 publications

Estimating the Person-Specific Location of Pterion Based on Cranial Morphometry

Estimating the Person-Specific Location of Pterion Based on Cranial Morphometry

Classification and Morphometric Features of Pterion in Thai Population with Potential Sex Prediction

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