High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection.

Computer-aided detection systems based on deep learning have shown good performance in breast cancer detection. However, high-density breasts show poorer detection performance since dense tissues can mask or even simulate masses. Therefore, the sensitivity of mammography for breast cancer detection can be reduced by more than 20% in dense breasts.

Long-Term Risk of Breast Cancer after Diagnosis of Benign Breast Disease by Screening Mammography.

Assessing the long-term risk of breast cancer after diagnosis of benign breast disease by mammography is of utmost importance to design personalised screening strategies. We analysed individual-level data from 778,306 women aged 50-69 years with at least one mammographic screening participation in any of ten breast cancer screening centers in Spain from 1996 to 2015, and followed-up until 2017. We used Poisson regression to compare the rates of incident breast cancer among women with and without benign breast disease.

Value of diffusion-weighted magnetic resonance imaging in the diagnosis of pyomyoma.

Pyomyomas are rare lesions that develop from the suppurative degeneration of ischemic leiomyomas. Pyomyomas can lead to sepsis, so early diagnosis is crucial. Due to their rarity and often nonspecific findings on ultrasonography and computed tomography diagnosis is often delayed.

Breast density, benign breast disease, and risk of breast cancer over time.

Objectives: Assessing the combined effect of mammographic density and benign breast disease is of utmost importance to design personalized screening strategies.

Methods: We analyzed individual-level data from 294,943 women aged 50-69 years with at least one mammographic screening participation in any of four areas of the Spanish Breast Cancer Screening Program from 1995 to 2015, and followed up until 2017. We used partly conditional Cox models to assess the association between benign breast disease, breast density, and the risk of breast cancer.

Role of diagnostic imaging technologists during the COVID-19 pandemic: the importance of organization and planning in the first line.

The COVID-19 pandemic and the consequent declaration of a state of alarm have required changes throughout the entire health system and diagnostic imaging departments are no exception. In our department, these circumstances led to an immediate restructuring of the working dynamics of our group of imaging technologists that had an important role in the front lines of the battle. To ensure that these new needs were met, the staff had to be trained and distributed into different areas and working groups; moreover, new protective measures and protocols had to be adopted in the working environment.