Proposed clinical internal carotid artery classification system.

No prior work had resolved the inconsistencies surrounding existing numerical frameworks for the internal carotid artery. That uncertainty drove the need for a unified approach applicable to diverse surgical techniques. Prior research has shown that various modifications to older systems have created significant confusion among clinicians. This gap motivated the development of a more robust anatomical model. Many existing schemes fail to translate effectively between traditional microsurgery and modern endoscopic methods. Surgeons often struggle to reconcile different naming conventions when planning complex skull base interventions. The lack of a standardized language hinders clear communication regarding vascular anatomy during preoperative assessment. Establishing a reliable system remains a priority for improving surgical safety and precision in neurovascular practice.

The aim of this study was to develop a clinically useful classification system for the internal carotid artery. Researchers sought to resolve the confusion created by various modifications to existing numerical frameworks. They intended to create a model that applies uniformly to both microsurgical and endoscopic procedures. This project addresses the need for a single, standardized language in skull base surgery. By identifying specific anatomical landmarks, the team hoped to improve surgical planning and safety. The motivation stemmed from the observation that previous systems often failed to translate across different surgical approaches. They wanted to ensure that each named segment could indicate potential risks to nearby structures. This work provides a foundation for more consistent communication among neurosurgeons and radiologists.

Review approach involved a comprehensive anatomical analysis using both cadaveric and radiological data. Investigators performed dissections on five human heads to observe structural relationships firsthand. They evaluated 648 vascular sides using computed tomography angiography to ensure statistical power. The team identified distinct landmarks to establish the precise beginning and end of every segment. This dual approach allowed for the integration of macroscopic findings with high-resolution imaging. Researchers systematically categorized the vessel into eight distinct parts based on these observations. They compared the position of the artery relative to nearby bony and neural structures across all samples. This methodology ensures that the resulting framework remains applicable to various surgical techniques.

Key findings from the literature reveal that the internal carotid artery can be consistently divided into eight distinct segments. The cochlear segment starts above the styloid process in 80% of cases. Researchers observed that the cochlea is posterior to the vessel in 85% of the sides examined. The Gasserian-Clival segment begins at the petrolingual ligament in all analyzed samples. In this region, the vessel projects medially toward the clivus in 52% of the cases. The sellar segment begins at the takeoff of the meningeal hypophyseal trunk. Data show that the artery abuts the sella in 31% of the evaluated instances. These results provide a standardized anatomical map for surgeons performing complex skull base procedures.

The authors propose that this eight-segment model provides a versatile framework for skull base surgery. This system serves both lateral microsurgical and ventral endoscopic approaches without requiring separate classifications. Researchers suggest that naming segments based on anatomical landmarks helps clinicians anticipate potential risks to nearby structures. The findings indicate that this approach simplifies surgical planning by providing a uniform language. Synthesis and implications suggest that standardizing terminology reduces confusion inherent in previous numerical systems. The study demonstrates that specific anatomical markers reliably define the boundaries of each vascular segment. Clinicians may use these definitions to better understand the spatial relationships between the artery and surrounding tissues. This classification offers a practical tool for improving the accuracy of surgical navigation in complex anatomical regions.