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(Abstract)

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This study examined the impact of different CT scan reconstruction kernels on lung nodule measurements and type classification. The researchers performed volumetric measurements of the largest solid nodule using two different kernels, and compared the results. Preliminary findings suggest that when using an iterative kernel, the volumetric measurements were not reproducible in 90% of cases. In addition, the use of the iterative kernel led to changes in nodule type classification and upgraded management category in some cases. The study emphasizes the need for standardization in nodule measurement and management strategies in lung cancer screening. The findings highlight the potential variation in nodule management and volume doubling time calculations that can occur when different reconstruction kernels are used. Therefore, the researchers recommend using the same reconstruction kernel as standard practice for baseline and follow-up nodule measurements in lung cancer screening.

Asset Subtitle

Harriet Lancaster

Meta Tag

Speaker Harriet Lancaster

Topic Screening & Early Detection: Nodule Management

Keywords

CT scan reconstruction kernels

lung nodule measurements

type classification

volumetric measurements

iterative kernel

reproducibility

nodule type classification

upgraded management category

standardization

lung cancer screening