Perception of Breast Cancer:

Abstract 

Rationale and Objective

The author performed this study to determine how image-based elements are translated into decisions by radiologists with different levels of experience in the reading of mammograms.

Materials and Methods

Three full-time mammographers and four radiology residents read 40 two-view mammogram cases. The observers' eye position was tracked while they searched the mammograms for malignancies. Spatial frequency analysis was performed to relate what the observers reported with where they looked.

Results

Statistically significant differences were found between lesion-containing areas that attracted visual attention and were correctly interpreted and those that were visually inspected but not reported. In addition, an artificial neural network was successfully trained to map the image characteristics in the visually selected areas on a mammogram and to link them to a likely decision by the observer.

Conclusion

Spatial frequency analysis can be used to derive trends for how mammographers and radiology residents will respond to mammograms.

Keywords:  Breast neoplasms, diagnosis, computers, diagnostic aid, diagnostic radiology, observer performance