Publications by authors named "K Gysen"

Article Synopsis
  • A 59-year-old patient with a history of peripheral T-cell lymphoma (PTCL-NOS) developed severe diarrhea three months post-treatment.
  • After thorough investigation, it was discovered that the lymphoma had recurred specifically in the gastrointestinal tract.
  • This case is notable as it represents a rare occurrence of predominant gastrointestinal recurrence of PTCL-NOS, with no previous reports documented in literature.
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Purpose: Multiple survey results have identified a demand for improved motion management for liver cancer IGRT. Until now, real-time IGRT for liver has been the domain of dedicated and expensive cancer radiotherapy systems. The purpose of this study was to clinically implement and characterise the performance of a novel real-time 6 degree-of-freedom (DoF) IGRT system, Kilovoltage Intrafraction Monitoring (KIM) for liver SABR patients.

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Background And Purpose: End expiration breath hold (EEBH) is the preferred motion management method for abdominal Stereotactic Ablative Body Radiotherapy (SABR) treatments. However, multiple short EEBHs are required to complete a single treatment session. The study aimed to determine the efficacy of preoxygenation with hyperventilation in extending an EEBH duration.

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Article Synopsis
  • The study investigates how knowledge-based planning (KBP) can improve the quality of radiotherapy for post-prostatectomy patients in clinical trials, ensuring better outcomes.* -
  • By analyzing 30 radiation treatment plans, KBP was shown to consistently meet all dose constraints (100%) compared to traditional treatment plans (69%), and it significantly reduced radiation exposure to critical organs.* -
  • The findings indicate that KBP enhances the consistency and quality of radiotherapy plans, making it a valuable tool for quality assurance in clinical trials, ultimately aiding in better patient safety and treatment effectiveness.*
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Introduction: Aimed to develop a simple and robust volumetric modulated arc radiotherapy (VMAT) solution for comprehensive lymph node (CLN) breast cancer without increase in low-dose wash.

Methods: Forty CLN-breast patient data sets were utilised to develop a knowledge-based planning (KBP) VMAT model, which limits low-dose wash using iterative learning and base-tangential methods as benchmark. Another twenty data sets were employed to validate the model comparing KBP-generated ipsilateral VMAT (ipsi-VMAT) plans against the benchmarked hybrid (h)-VMAT (departmental standard) and bowtie-VMAT (published best practice) methods.

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