ADC-Derived Spatial Features Can Accurately Classify Adnexal Lesions
journal: International Society for Magnetic Resonance in Medicine
Anahita Fathi Kazerooni, PhD , Mahnaz Nabil, PhD,Hamidreza Haghighat Khah, MD,Mohammadreza Alviri, MSc, Maryam Heidari-Sooreshjaani, MD,5 Masoumeh Gity, MD,6,7 Mahrooz Malek, MD and Hamidreza Saligheh Rad, PhD
Background:
The role of quantitative apparent diffusion coefficient (ADC) maps in differentiating adnexal masses is unresolved.
Purpose/Hypothesis:
To propose an objective diagnostic method devised based on spatial features for predicting
benignity/malignancy of adnexal masses in ADC maps.
Study Type:
Prospective.
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%.
Data 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.
