Publications by authors named "Sophie Yammeni"
Development and comprehensive evaluation of a national DBCG consensus-based auto-segmentation model for lymph node levels in breast cancer radiotherapy.
Radiother Oncol
December 2024
Article Synopsis
- This study focused on training a deep learning model to help doctors identify important areas in breast cancer patients that need treatment.
- It used expert opinions from radiotherapy centers in Denmark to create high-quality data for training the model.
- The results showed that the model's performance was very similar to what experienced doctors would achieve, which means it could be used safely in real medical situations.
Background: Current guidelines in HER2-positive metastatic breast cancer (mBC) recommend the combination of trastuzumab and a chemotherapeutic agent for 3rd line or later treatments. This study aims to describe the treatment of HER2-positive mBC in 3rd line or later after previous treatment with T-DM1 for mBC in a real-world setting.
Material And Methods: This observational population-based study included all women diagnosed with HER2-positive mBC in Denmark, previously treated with T-DM1 in the metastatic setting.
To identify patients at high risk of life-threatening infections, we retrospectively analysed the prevalence of infectious complications in 187 chronic lymphocytic leukaemia patients treated in our institution since 1999 and correlated them with clinical features. A questionnaire with detailed questions regarding infectious complications was mailed to patients and their general practitioners. Major infections (requiring intravenous antibiotics or inpatient treatment) were reported in 37 patients (19.
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