ADC-Derived Spatial Features Can Accurately Classify Adnexal Lesions

Abstract

Background:

The role of quantitative apparent diffusion coefficient (ADC) maps in differentiating adnexal masses is unresolved.

Objective:

To propose an objective diagnostic method devised based on spatial features for predicting benignity/malignancy of adnexal masses in ADC maps.

Results:

The selected feature subspace consisting of RLM features differentiated benign from malignant adnexal masses with a classification accuracy of 92%. The same model discriminated benign, borderline, and malignant lesions with 87% and borderline from malignant with 100% accuracy. Qualitative assessment of the radiologists based on conventional MRI features reached an accuracy of 80%.

Conclusion:

The spatial quantification methodology proposed in this study, which works based on cellular distributions within ADC maps of adnexal masses, may provide a helpful computer-aided strategy for objective characterization of adnexal masses.