Objective
To determine whether a semi-automated voxel selection technique improves inter-reader reproducibility for breast apparent diffusion coefficient (ADC) measurements.
Methods
Three readers retrospectively performed ADC measurements of 31 breast lesions (16 malignant, 15 benign) and contralateral normal tissue in 26 women both unassisted (manual method) and assisted by a semi-automated software tool that excludes voxels below a dynamically specified signal intensity threshold. Reproducibility between readers for each technique was assessed by Bland-Altman analysis and concordance correlation coefficients (CCCs).
Results
Differences between readers’ measured ADCs of lesions were smaller with the semi-automated tool versus the manual method. CCCs for each reader pair were greater with the semi-automated tool for lesions (mean CCC difference= 0.11; CI= 0.04–0.26). For normal tissue, reader agreement was lower than for lesions, and did not differ based on software tools (mean CCC difference= 0.00; 95% CI= −0.14–0.13).
Conclusions
A semi-automated voxel selection tool can improve inter-reader reproducibility of breast lesion ADC measures.