Advances on Imaging and Treatment of Head and Neck Cancer
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Therapy".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 5
Special Issue Editors
Interests: machine learning; medical imaging; adaptive radiotherapy; image-guided radiation therapy
Interests: knowledge-based planning; plan automation; rapidplan; outcome analysis
Interests: radiation oncology; proton therapy (PT); flash PT; adaptive; reirradiation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Head and neck cancer management has experienced unprecedented advancements in imaging innovations and treatment technologies. These innovations have revolutionized the diagnostic and therapeutic landscape, significantly improving patient outcomes. Imaging modalities, such as computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET), have become integral to the early detection and precise characterization of head and neck cancers, enabling clinicians to make informed decisions, tailoring treatment plans to individual patient needs.
Moreover, advancements in data science, including artificial intelligence and machine learning, are enhancing the accuracy and efficiency of image analysis and treatment planning. The modernization of our surgical approaches, advancements in diagnostic and therapeutic imaging techniques and analysis, as well as the adaptation of our radiation therapy to changes in patient anatomy and target volume have helped transform our field. Online adaptive radiotherapy represents another leap forward, enabling real-time adjustments to treatment plans based on daily imaging. This approach, whether X-ray-based or MRI-based, ensures that radiation is delivered with adaption to anatomical changes throughout the treatment course.
This Special Issue aims to highlight the latest research and clinical applications of these technological advancements, including, but not limited to, the following:
- Advanced imaging techniques for head and neck cancer;
- Surgical advances such as robotic surgery and transoral laser microsurgery for head and neck cancer;
- Radiation therapy innovations such as proton therapy, online adaptive radiotherapy and hypo-fractionated radiation therapy, stereotactic body radiation therapy (SBRT), and altered fractionation based on advanced imaging tools for HPV+ cancers;
- Artificial intelligence and machine learning for head and neck cancer management;
- Combination therapies such as chemoradiotherapy and immune radiotherapy for head and neck cancer;
- Quality of life and survivorship for head and neck cancer patients.
Dr. Yading Yuan
Dr. Vishruta A. Dumane
Dr. Haibo Lin
Dr. Luqman Dad
Guest Editors
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 short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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
- head and neck cancer
- medical imaging
- robotic surgery
- image-guided radiation therapy
- proton radiotherapy
- online adaptive radiotherapy
- artificial intelligence
- machine learning
