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

Area of Science:

• Anatomy
• Neurosurgery
• Anthropology

Background:

• The pterion, a critical cranial junction, is vital for surgical access.
• Accurate pterion localization is essential for neurosurgical procedures, including pterional craniotomy.
• Previous studies provided mean distances, but lacked person-specific estimation methods.

Purpose of the Study:

• To develop regression equations for estimating the precise, person-specific pterion location.
• To utilize cranial morphometry for predicting pterion coordinates.
• To enhance the accuracy of surgical planning in neurosurgery.

Main Methods:

• Analysis of 22 pterions from 11 dry human skulls.
• Measurement of 12 pterion-related and 23 skull-related parameters using ImageJ software.
• Statistical analysis including regression equation development using SPSS 20.0.

Main Results:

• Twelve regression equations were formulated to estimate pterion location based on cranial measurements.
• One example equation: P8 = 63.780 + (1.366 × K6) - (2.786 × K7) + (1.342 × K11) - (1.029 × K13) + (2.102 × K14) - (1.710 × K15) - (0.517 × 22).
• High accuracy was demonstrated with an Adjusted R² of 0.995 and Standard Errors of 1.221.

Conclusions:

• Novel regression equations enable accurate, person-specific pterion localization.
• These equations offer a valuable tool for neurosurgeons planning pterional craniotomies.
• The study provides a more precise method than previous distance-based estimations.