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Dataset Information

Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening.


ABSTRACT: Spiculations are important predictors of lung cancer malignancy, which are spikes on the surface of the pulmonary nodules. In this study, we proposed an interpretable and parameter-free technique to quantify the spiculation using area distortion metric obtained by the conformal (angle-preserving) spherical parameterization. We exploit the insight that for an angle-preserved spherical mapping of a given nodule, the corresponding negative area distortion precisely characterizes the spiculations on that nodule. We introduced novel spiculation scores based on the area distortion metric and spiculation measures. We also semi-automatically segment lung nodule (for reproducibility) as well as vessel and wall attachment to differentiate the real spiculations from lobulation and attachment. A simpl

SUBMITTER: Choi W 

PROVIDER: S-EPMC7920914 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature