Dandan Zheng
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Articles (11)
Year:
2025
Year:
2025
Year:
2025
Radiotherapy, a crucial technique in cancer therapy, has traditionally relied on the premise of largely unchanging patient anatomy during the treatment course and encompassing uncertainties by target margins. This review introduces adaptive radiotherapy (ART), a notable innovation that addresses anatomy changes and optimizes the therapeutic ratio. ART utilizes advanced imaging techniques such as CT, MRI, and PET to modify the treatment plan based on observed anatomical changes and even biological changes during the course of treatment. The narrative review provides a comprehensive guide on ART for healthcare professionals and trainees in radiation oncology and anyone else interested in the topic. The incorporation of artificial intelligence in ART has played a crucial role in improving effectiveness, particularly in contour segmentation, treatment planning, and quality assurance. This has expedited the process to render online ART feasible, lowered the burden for radiation oncology practitioners, and enhanced the precision of dynamically personalized treatment. Current technical and clinical progress on ART is discussed in this review, highlighting the ongoing development of imaging technologies and AI and emphasizing their contribution to enhancing the applicability and effectiveness of ART.
Year:
2024
Year:
2024
Year:
2023
Year:
2023
Year:
2022
Year:
2021
Year:
2021
Year:
2020
Collaborators (7)
FIONA LI
Assistant Professor - Medical Physicist
University of Rochester
Su-Min Zhou
Professor/Director of Physics
University of Nebraska Medical Center
Hongfeng Yu
University of Nebraska - Lincoln
Michael J. Baine
University of Nebraska Medical Center
Matthew Webster
University of Rochester
Chi Zhang
University of Nebraska - Lincoln
Jihyung Yoon
University of Rochester Medical Center
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