Assessing post-surgical bone deformations: Integrating anatomy with computerized 3D morphometry
DOI:
https://doi.org/10.51607/22331360.2024.73.3.242Keywords:
Computerized Analysis, point cloud analysis, shape analysis, surgical outcomesAbstract
Geometric morphometry, a powerful method for analysing structural shapes, has become increasingly significant in various disciplines, including anatomy, morphology, and clinical medicine. Unlike traditional morphometric approaches, geometric morphometry offers a comprehensive understanding of shape structure, particularly when enhanced by 3D imaging techniques. In this study, we explored the potential of this method in a clinical setting, applying it to post-operative evaluations of surgically treated bones. Utilizing computerized tomography (CT) scans, we compared the shapes of surgically treated bones to their healthy, symmetrical counterparts, focusing on the changes that occurred during the healing process. The study involved CT images from patients who had previously undergone bone surgery, sourced from the archives of Istanbul University-Cerrahpaşa Veterinary Faculty Animal Hospital. Advanced software tools, including Slicer and the ALPACA module, were employed to generate 3D models and facilitate precise comparisons between operated and non-operated bones. Our findings revealed that while shape deformations in control group bones were minimal, surgically treated bones exhibited more pronounced changes. These deformations were often localized to regions affected by surgery, suggesting that the method is effective in detecting post-operative alterations. The computerized approach used in this study not only allowed for detailed morphological analysis but also demonstrated the potential for future applications in clinical practice. As technology continues to advance, integrating computerized methods with anatomical studies can enhance the accuracy of surgical evaluations and improve patient outcomes. This study highlights the importance of combining anatomical knowledge with computer-assisted techniques to develop more effective clinical tools for assessing surgical success.
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Copyright (c) 2024 Simge Özüner, Gökçe Sarı, Yusuf Altundağ, Ozan Gündemir
This work is licensed under a Creative Commons Attribution 4.0 International License.