Publications by authors named "Marie Benzon Mogensen"

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.
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Background: Fluoro-L-thymidine (FLT) is a positron emission tomography/computed tomography (PET/CT) tracer which reflects proliferative activity in a cancer lesion. The main objective of this prospective explorative study was to evaluate whether FLT-PET can be used for the early evaluation of treatment response in colorectal cancer patients (CRC) with liver metastases. Patients with metastatic CRC having at least one measurable (>1 cm) liver metastasis receiving first-line chemotherapy were included.

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Our aim was to investigate whether dynamic contrast-enhanced ultrasound (DCE-US) can detect early changes in perfusion of colorectal liver metastases after initiation of chemotherapy. Newly diagnosed patients with colorectal cancer with liver metastases were enrolled in this explorative prospective study. Patients were treated with capecitabine or 5-fluorouracil-based chemotherapy with or without bevacizumab.

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