Subjective assessment of ovarian masses using pattern recognition: the impact of experience on diagnostic performance and interobserver variability

Purpose To compare diagnostic performance and interobserver variability in a group of 36 examiners, with four different levels of experience. Methods Nine junior trainees, eight level I senior trainees, 11 level II senior gynecologists, and eight level III expert sonologists classified 105 ultrasound images of adnexal masses into three subgroups of ovarian lesions (malignancies, functional cysts, and dermoid cysts). Results The level III sonologists obtained the best diagnostic results together with the lowest interobserver variability (κ = 0.70, SD = 0.04). They achieved significantly better results in comparison with the junior trainees and also the senior trainees (κ = 0.51, SD = 0.12, p