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Unsupervised Bayesian generation of synthetic CT from CBCT using patient-specific score-based prior.

Med Phys

December 2024

Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.

Article Synopsis
  • CBCT scans are crucial for patient alignment in radiotherapy, but their image quality is often compromised by artifacts and inaccurate Hounsfield unit values, limiting their quantitative applications.
  • The study introduces an unsupervised learning approach utilizing a patient-specific diffusion model to generate synthetic CT images from CBCT, improving image quality for adaptive radiotherapy.
  • Results demonstrated that this method effectively reduced artifacts in CBCT images from various cancer types, enhancing the potential for better clinical outcomes in radiotherapy.
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Daily online adaptive radiotherapy (OART) is useful in radiotherapy of prostate cancer to reduce doses to the rectum and bladder which pose a challenge because of daily variation in shape and size. It also helps to reduce target margins while still maintaining target coverage. We present a case of prostate cancer resistant to androgen deprivation therapy and systemic therapy which was difficult to treat with definitive radiotherapy because of the unusual anatomical shape of the tumor impinging into the rectum.

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Background And Purpose: Image-guided proton beam therapy (IG-PBT) and cone-beam CT (CBCT)-based online adaptive photon radiotherapy (oART) have potentials to restrict radiation toxicity. They are both hypothesised to reduce therapy limiting bowel toxicity in the multimodality treatment of locally advanced rectal cancer (LARC). This study aimed to quantify the difference in relevant dose-volume metrics for these modalities.

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A code orange for traffic-light-protocols as a communication mechanism in IGRT.

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December 2024

Laboratory of Experimental Radiotherapy, Catholic University of Leuven, Leuven, Belgium.

Introduction: Traffic-light protocols (TLPs) use color codes to standardize image registration and improve interdisciplinary communication in IGRT. Generally, green indicates no relevant anatomical changes, orange signals changes requiring follow-up but does not compromise the current fraction, and red flags unacceptable changes. This study examines the communication aspect, specifically the reporting accuracy for locally advanced non-small-cell lung cancer (LA-NSCLC), and identifies barriers to reporting.

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On the trail of CBCT-guided adaptive rectal boost radiotherapy, does daily delineation require a radiation oncologist?

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December 2024

UCLouvain, Institut de Recherche Experimentale et Clinique (IREC), Center of Molecular Imaging, Radiotherapy and Oncology (MIRO), Brussels, Belgium.

Introduction: Dose-escalation radiotherapy for rectal tumours is increasingly considered as a non-operative approach, with online-adaptive radiotherapy (oART) supporting this approach by correcting inter-fraction tumour position errors. However, using cone-beam computed tomography (CBCT)-guided oART requires daily target volume delineation by different operators, leading to inter-operator delineation variability and potential dosimetric issues. This study aims to compare and quantify the inter-operator and inter-professional delineation variability of the rectal boost volume on CBCT, including volumes by an automatically delineated oART treatment planning system.

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