Anatomical Characterization of Congenital Pulmonary Airway Malformation Lesions via Computerized Tomography Imaging: Insights for Surgical Planning
Keywords:
CPAM, CT, Pulmonary Vasculature, 3D ImagingAbstract
Background: Congenital pulmonary airway malformation (CPAM) is a rare developmental lung anomaly that often requires surgical intervention. Preoperative Computerized Tomography (CT) imaging plays a crucial role in evaluating lesion characteristics, yet detailed anatomical assessments remain understudied. Objective: To analyze the preoperative Computerized Tomography imaging data to explore the anatomical characteristics of CPAM lesions, providing additional information to guide surgical treatment for such conditions. Methodology: The present retrospective study was conducted at Gujranwala Medical College, Gujranwala. A total of 20 pediatric CPAM cases were analyzed. We reconstructed the airways, pulmonary vasculature, and lesions using semi-automated segmentation using 3D Slicer software. Lesion volume, lobar occupancy ratio, and vascular/airway branching patterns were important metrics. Relationships between patient demographics and anatomical features were evaluated through statistical analysis. Results:Twenty CT scans of the initial 23 CPAM patients were successfully reconstructed using 3D imaging. The findings indicated that lesions, which occupied 25.3% of the affected lobe and had an average volume of 45.6 cm³, were primarily found in the lower lobes. In 73.9% and 78.3% of cases, respectively, supplying arterial and venous branches were found. In 73.9% of lesions, high external boundary exposure (>80%) was noted, which facilitated accurate surgical planning. Conclusion:This study concluded that preoperative CT-based 3D reconstruction helps with surgical planning by offering comprehensive insights into the anatomy of CPAM lesions. Important characteristics like boundary exposure, vascular supply, and lesion volume were efficiently evaluated. For better surgical results, these results lend credence to the inclusion of cutting-edge imaging methods in standard preoperative assessment.References
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