5 results match your criteria: "Clinic of Radiotherapy (Radiooncology)[Affiliation]"

Article Synopsis
  • This review investigates how artificial intelligence (AI) can improve interventional radiotherapy (IRT) by making workflows more efficient and enhancing patient care.
  • Analyzing 78 studies from 2002 to 2024, it highlights advancements in areas like treatment planning, contouring, outcome prediction, and quality assurance.
  • While AI shows potential for reducing procedure times and personalizing treatments, challenges like clinical validation and quality assurance remain important to address.
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Aim: Ru eye plaque brachytherapy (BT, interventional radiotherapy) is an eye-preserving treatment for uveal melanoma performed in about 100 clinics worldwide. Despite this relatively low number, there is a considerable variation in clinical practice. In 2022, the BRAPHYQS and Head & Neck and Skin GEC-ESTRO working groups conducted a survey to map the current clinical practice.

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Background/purpose: This study determines and compares the geometric setup errors between stereoscopic x-ray and kilo-voltage cone beam CT (CBCT) in phantom tests on a linear accelerator (linac) for image-guided (IG) stereotactic radiotherapy of intracranial tumors. Additionally, dose-volume metrics in the target volumes of the setup errors of CBCT were evaluated.

Materials/methods: A Winston-Lutz- and an anthropomorphic phantom were used.

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Introduction: Performing lymphoscintigraphy in a separate room, frees up the conventional gamma camera, coupled with the desire to directly localize sentinel lymph nodes (SLN) in the operating theatre has led to the development of high-resolution semiconductor-detector based handheld gamma-cameras, CrystalCam.

Methods: This work consists of phantom and clinical studies. For the first part, a Jaszczak phantom with hollow spheres of various volumes were filled with the Tc and the camera's sensitivity was measured at various distances to assess the possibilities and limitations of the device.

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Purpose: Monte Carlo (MC) simulation studies, aimed at evaluating the magnitude of tissue heterogeneity in I prostate permanent seed implant brachytherapy (BT), customarily use clinical post-implant CT images to generate a virtual representation of a realistic patient model (virtual patient model). Metallic artifact reduction (MAR) techniques and tissue assignment schemes (TAS) are implemented on the post-implant CT images to mollify metallic artifacts due to BT seeds and to assign tissue types to the voxels corresponding to the bright seed spots and streaking artifacts, respectively. The objective of this study is to assess the combined influence of MAR and TAS on MC absorbed dose calculations in post-implant CT-based phantoms.

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