2023 World Conference on Lung Cancer (Posters)-EP04.04. Low-Dose CT Iterative Reconstructions can Impact Lung Nodule Measurements and Type Classification

EP04.04. Low-Dose CT Iterative Reconstructions can Impact Lung Nodule Measurements and Type Classification - PDF(Slides)

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This study evaluated the impact of an iterative reconstruction kernel on volumetric lung nodule measurements. The researchers used LDCT scans from a European lung cancer screening population and compared measurements made using both the iterative and non-iterative kernels. The results showed that the use of an iterative kernel can lead to differences in volumetric nodule measurements. In 95% of cases, the measurements were different when using the two different kernels, and in 9% of cases, the use of the iterative kernel led to an upgrade in the nodule follow-up category. Additionally, the use of the iterative kernel resulted in changes in nodule type classification in 8 cases. The researchers concluded that to standardize nodule measurement and management in lung cancer screening, the same reconstruction kernel should be used as standard practice for both baseline and follow-up scans. The study also highlighted the importance of using consistent reconstruction kernels to ensure reproducibility and accuracy of nodule measurements. The limitations of the study include the use of only one reader and the evaluation of only one software vendor's reconstruction kernels.

Asset Subtitle

Harriet Lancaster

Meta Tag

Speaker Harriet Lancaster

Topic Screening & Early Detection: Nodule Management

Keywords

iterative reconstruction kernel

volumetric lung nodule measurements

LDCT scans

European lung cancer screening population

iterative and non-iterative kernels

differences in volumetric nodule measurements

nodule follow-up category

nodule type classification

standardize nodule measurement

reconstruction kernels