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Image-Assisted High-Precision Radiation Oncology

This special issue belongs to the section “Cancer Therapy“.

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

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

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Cancers - ISSN 2072-6694