Development and tracking of inferior vena cava diameter after filter placement using a circle-fitting predictive model

利用圆拟合预测模型对滤器置入后下腔静脉直径的变化进行监测和跟踪

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Abstract

The diameter of the inferior vena cava (IVC) is a critical factor in the decision-making process for IVC filter (IVCF) placement. A mismatched filter can compromise its stability and potentially lead to adverse events. This study develops and validates a predictive model using a circle-fitting algorithm to estimate the IVC diameter after filter placement. The findings suggest that single-angle measurements may misrepresent the filter-vessel compatibility, since the IVC transforms from an oval to a near-circular cross-section following filter placement. The predictive model, integrating three-dimensional, multi-angle cavography with circumference-based calculations, demonstrates excellent concordance with both post-placement maximum and minimum diameters in animal and clinical samples. Compared to the conventional single-angle measurements prior to IVCF placement, the predictive diameter can provide a more accurate and reliable representation of the IVC size, which was superior to either the maximum or minimum diameter alone, suggesting a higher predictive reliability. This model may provide a valuable tool for more accurate IVCF diameter selection and support future research.

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