Publications by authors named "M Mattke"

Artificial Intelligence (AI) applications are increasingly prevalent in radiotherapy, including commercial software solutions for automatic segmentation of anatomical structures for 3D Computed Tomography (CT). However, their use in intraoperative electron radiotherapy (IOERT) remains limited. In particular, no AI solution is available for contouring cone beam CT (CBCT) images acquired with a mobile CBCT device.

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Background And Objective: Radiation therapy is one of the main pillars in the treatment of gastrointestinal (GI) cancers, especially esophageal and anorectal malignancies. The worldwide standard of care is yet an irradiation with photons. Though not commonly used, charged particles offer some physical advantages with a highly conformal dose distribution, which allows an even better sparing of organs at risk.

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Background: The current study aims to evaluate the occurrence of temporal lobe reactions and identify possible risk factors for patients who underwent particle therapy of the skull base.

Methods: 244 patients treated for skull base chordoma ( = 144) or chondrosarcoma ( = 100) at the Heidelberg Ion Beam Therapy Center (HIT) using a raster scan technique, were analyzed. Follow-up MRI-scans were matched with the initial planning images.

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Background: Chordomas have a high risk of recurrence. Radiotherapy (RT) is required as adjuvant therapy after resection. Sufficient radiation doses for local control (LC) can be achieved using either particle therapy, if this technology is available and feasible, or intensity-modulated radiotherapy.

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