To investigate whether automated software can enhance the quality of breast positioning and compression, thereby improving the performance of breast radiographers in tomosynthesis screening and potentially increasing cancer detection rates.
Key Findings:
Automated software provides a systematic and objective evaluation of breast positioning and compression, leading to measurable improvements in radiographer performance.
The software categorizes positioning outcomes into four classes: perfect, good, moderate, and inadequate, allowing for targeted training.
The study included a diverse group of radiographers with varying levels of experience, highlighting the software's applicability across skill levels.
Interpretation:
The use of automated software for evaluating breast positioning and compression can potentially lead to improved quality in mammography and tomosynthesis, enhancing cancer detection rates and informing training programs for radiographers.
Limitations:
The study is based on a single institution's data and may not be generalizable; further multi-center studies are needed.
The reliance on automated software may overlook nuances that experienced radiographers could identify, suggesting a complementary role rather than a replacement.
Conclusion:
Automated evaluation tools can serve as effective quality assurance measures, potentially leading to higher quality mammograms and better patient outcomes in breast cancer screening, while also providing valuable feedback for radiographer training.
by Gisella Gennaro, Letizia Povolo, Sara Del Genio, Lina Ciampani, Chiara Fasoli, Paolo Carlevaris, Maria Petrioli, Tiziana Masiero, Federico Maggetto, Francesca Caumo
