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Previous studies reported that the cancer subtypes radiologists struggling to detect successfully varied across countries in mammography interpretation. However, little is known whether such variation is also in radiologists’ perception of local cancer-free areas. This study compared the cancer-free areas incorrectly flagged as cancer by radiologists from two populations in reading dense screening mammograms. We collected reading data from 20 Chinese and 16 Australian radiologists who previously evaluated 60 dense screening cases. For each cohort, findings from all readers were pooled together, and the local cancer-free areas classified as cancer were identified. Particularly the areas misclassified by readers from both cohorts were recognized and displayed on the mammograms as overlaps. For each overlap, we counted the error rate, the proportion of readers failing to distinguish between normality and abnormality, as a measure of the actual difficulty level for each reader cohort. Afterward, the Spearman correlation was performed to explore whether the calculated cohort-specific difficulty levels were correlated. A similar analysis was conducted on two geographically-distant groups within China. Results showed that between Chinese and Australian radiologists, the correlation was only found in the cancer-free views of cancer cases (r=0.902, p=0.004). However, between the two groups within China, we found strong correlations in both cancer-containing (r=0.833, p=0.333) and cancer-free views (r=0.955, p=0.022) of cancer cases, despite an insignificant correlation in normal cases. In conclusion, radiologists from different populations display various error-making patterns in reading dense screening mammograms, while those with similar demographic characteristics share the diagnosis to a certain degree.
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