Publications by authors named "F G Andersen"

: Paediatric PET/CT imaging is crucial in oncology but poses significant radiation risks due to children's higher radiosensitivity and longer post-exposure life expectancy. This study aims to minimize radiation exposure by generating synthetic CT (sCT) images from emission PET data, eliminating the need for attenuation correction (AC) CT scans in paediatric patients. : We utilized a cohort of 128 paediatric patients, resulting in 195 paired PET and CT images.

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Background/objectives: Brown adipose tissue (BAT) plays a crucial role in energy expenditure and thermoregulation and has thus garnered interest in the context of metabolic diseases. Segmentation in medical imaging is time-consuming and prone to inter- and intra-operator variability. This study aims to develop an automated BAT segmentation method using the nnU-Net deep learning framework, integrated into the TotalSegmentator software, and to evaluate its performance in a large cohort of patients with lymphoma.

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Background: Since recurrences and new AKs commonly are observed after treatment long-term effects of field-directed therapies for AKs are crucial. Thus, we evaluated the 6- and 12-month efficacy and satisfaction of sequential topical 5-fluorouracil (5-FU) and daylight PDT (dPDT) with dPDT alone.

Methods: In a randomized intra-individual study patients with multiple AKs in the face and scalp were treated with 4 % 5-fluorouracil cream twice daily for 7 days on one side of the scalp/face, followed by dPDT on both sides.

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Article Synopsis
  • The study emphasizes the importance of accounting for the unpredictable nature of disease spread when modeling outbreaks, particularly in the early stages.
  • The researchers propose a flexible branching process model that incorporates differences among hosts and can be adapted to specific diseases.
  • They showcase their model using COVID-19 data to evaluate various control strategies and offer a way to link short-term stochastic models with long-term deterministic projections, allowing for better forecasting of disease dynamics.
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