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| http://dx.doi.org/10.1186/s12943-024-02112-w | DOI Listing |
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Evaluation of artificial intelligence-based autosegmentation for a high-performance cone-beam computed tomography imaging system in the pelvic region.
Phys Imaging Radiat Oncol
January 2025
Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Background And Purpose: A novel ring-gantry cone-beam computed tomography (CBCT) imaging system shows improved image quality compared to its conventional version, but its effect on autosegmentation is unknown. This study evaluates the impact of this high-performance CBCT on autosegmentation performance, inter-observer variability, contour correction times and delineation confidence, compared to the conventional CBCT.
Materials And Methods: Twenty prostate cancer patients were enrolled in this prospective clinical study.
Optimal Planning Target Volume Margins to Account for Intra-Fractional Prostate Motion Relative to Treatment Duration: A Study Using Real-Time Transperineal Ultrasound Guidance.
J Med Imaging Radiat Oncol
January 2025
Department of Radiation Oncology, Townsville University Hospital, Townsville, Queensland, Australia.
Introduction: Prostate motion during external beam radiotherapy (EBRT) is common and typically managed using fiducial markers and cone beam CT (CBCT) scans for inter-fractional motion correction. However, real-time intra-fractional motion management is less commonly implemented. This study evaluated the extent of intra-fractional prostate motion using transperineal ultrasound (TPUS) and examined the impact of treatment time on prostate motion.
View Article and Find Full Text PDFClinical Application Of Deep Learning-assisted Needles Reconstruction In Prostate Ultrasound Brachytherapy.
Int J Radiat Oncol Biol Phys
January 2025
McGill university, Montreal, Qc, Canada.
Purpose: High dose rate (HDR) prostate brachytherapy (BT) procedure requires image-guided needle insertion. Given that general anesthesia is often employed during the procedure, minimizing overall planning time is crucial. In this study, we explore the clinical feasibility and time-saving potential of artificial intelligence (AI)-driven auto-reconstruction of transperineal needles in the context of US-guided prostate BT planning.
View Article and Find Full Text PDFEvaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysis.
Eur Radiol
January 2025
School of Physics, Mathematics and Computing, University of Western Australia, Crawley, WA, Australia.
Article Synopsis
- The study aimed to conduct a systematic review and meta-analysis on the adherence of radiomics studies to the Radiomics Quality Score (RQS).
- A total of 130 systematic reviews were analyzed, revealing that while adherence to RQS has improved over time, many studies still struggle to provide high-quality evidence necessary for clinical application.
- Overall, only a small percentage of studies achieved a high RQS, indicating that the quality of radiomics research varies significantly between different imaging modalities.
Patient- and clinician-based evaluation of large language models for patient education in prostate cancer radiotherapy.
Strahlenther Onkol
January 2025
Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Background: This study aims to evaluate the capabilities and limitations of large language models (LLMs) for providing patient education for men undergoing radiotherapy for localized prostate cancer, incorporating assessments from both clinicians and patients.
Methods: Six questions about definitive radiotherapy for prostate cancer were designed based on common patient inquiries. These questions were presented to different LLMs [ChatGPT‑4, ChatGPT-4o (both OpenAI Inc.
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