Harmonizing diversity: introducing a universal classification system and database concept for anatomical variations

Abstract

Objectives: Despite the wide interest in studying anatomical variations of the human body, significant gaps and inconsistencies remain in the literature. The use of variable terminologies and inconsistent classification systems remain a few of the key contributors for this gap. Many of these challenges can be addressed by adopting a universal classification system alongside a standard database. This study introduces a practical approach for the classification of variations that can reduce miscommunications and ensure a thorough evaluation. Methods: In this novel Universal Classification System, solid organ variations are categorized as variations in: measurements (size, weight, dimensions); shape; consistency (presence, absence, multiplication); variation in associated structures or ducts (origin, termination, branching, variation in supply and consistency); and variations in blood supply, lymph drainage and innervation. For nerves, lymph and blood vessels, variations are classified as variation in origin (level and mode of origin – normal or aberrant); variation in termination (level and way of termination as bifurcation, trifurcation, etc.); branching variations (origin, variation in supply and consistency); consistency; and site of supply. An additional category of ‘other’ includes variations that cannot be classified under the above categories (aplasia/absence, hypoplasia, fenestration, tortuosity, loops, etc.). Results: Application of the proposed Universal Classification System demonstrated that anatomical variations can be systematically and consistently categorized across different organ systems. Based on these findings, a standardized database model was developed to store and manage variation data using the same classification framework. The results define the database structure, data entry and storage procedures, maintenance principles, and access protocols, providing a practical and reproducible tool for the standardized documentation and retrieval of anatomical variation data. Conclusion: The findings of this study confirm that a universal classification system can effectively standardize the evaluation of anatomical variations. The resulting database framework translates this system into a practical and scalable tool, facilitating consistent reporting, data storage, and knowledge transfer. This approach contributes to a more coherent and accessible body of anatomical variation data for educational and clinical use.

Keywords

• anatomical variations
• database
• universal classification system

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