Multi-marker quantitative radiomics for mass characterization in dedicated breast CT imaging.

ABSTRACT:

Purpose

To develop and evaluate the diagnostic performance of an algorithm for multi-marker radiomic-based classification of breast masses in dedicated breast computed tomography (bCT) images.

Methods

Over 1000 radiomic descriptors aimed at quantifying mass and border heterogeneity, morphology, and margin sharpness were developed and implemented. These included well-established texture and shape feature descriptors, which were supplemented with additional approaches for contour irregularity quantification, spicule and lobe detection, characterization of degree of infiltration, and differences in peritumoral compartments. All descriptors were extracted from a training set of 202 bCT masses (133 benign and 69 malignant), and their individual diagnostic performance was investig

SUBMITTER: Caballo M 

PROVIDER: S-EPMC7898616 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature