Image-Assisted High-Precision Radiation Oncology

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Therapy".

Deadline for manuscript submissions: 28 February 2026 | Viewed by 92

Special Issue Editor


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Guest Editor
Radiation Physics, University of Texas M.D. Anderson Cancer Center, Houston, TX 77030, USA
Interests: radiation oncology

Special Issue Information

Dear Colleagues,

Radiation oncology has achieved remarkable advancements in cancer care, with image-assisted techniques emerging as a cornerstone for achieving effective and high-precision treatment. By integrating medical imaging modalities such as computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), four-dimensional CT (4DCT), dual-energy CT (DECT), and optical surface imaging, radiation therapy can be tailored to the unique anatomical and physiological characteristics of each patient. These technologies enable accurate tumor localization and delineation, provide advanced image guidance through precise positioning and real-time motion tracking, and facilitate adaptive dose delivery, therefore minimizing damage to surrounding healthy tissues while enhancing treatment efficacy. Furthermore, the addition of artificial intelligence (AI) techniques and radiomics promote efficient and standardized radiotherapy, while also offering predictive insights into treatment optimization and tumor response. As the field progresses, image-assisted high-precision radiation therapy is poised to improve survival rates and reduce treatment-related complications, marking a significant leap toward personalized oncology care.

Dr. He C. Wang
Guest Editor

Manuscript Submission Information

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Keywords

  • medical imaging
  • radiation oncology
  • artificial intelligence
  • radiomics
  • adaptation
  • tumor response

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Published Papers

This special issue is now open for submission.
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