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Integrative Approaches in Head and Neck Cancer Imaging

This special issue belongs to the section “Machine Learning and Artificial Intelligence in Diagnostics“.

Special Issue Information

Dear Colleagues,

This Special Issue, entitled "Integrative Approaches in Head and Neck Cancer Imaging", focuses on the latest advancements in imaging for diagnosing, treating, and monitoring head and neck cancers. This edition seeks to highlight interdisciplinary efforts that integrate radiology, oncology, surgery, and pathology to enhance the precision of cancer care.

Head and neck cancers, originating in regions like the oral cavity, pharynx, and larynx, require accurate diagnosis for their effective management, and this is heavily reliant on advanced imaging technologies like MRI, CT, PET, and ultrasound. The complex anatomy of these areas poses significant challenges that require innovative imaging solutions.

This issue aims to present cutting-edge integrative imaging strategies that combine various modalities and computational techniques to improve diagnostic accuracy and treatment outcomes for head and neck cancer. We seek contributions related to the following areas:

  1. Advanced imaging technologies tailored to head and neck cancers.
  2. Multimodal imaging frameworks that enhance diagnostic and therapeutic precision.
  3. Image-guided therapies that improve surgical and radiation outcomes.
  4. The use of artificial intelligence and machine learning in image analysis.
  5. Clinical trials evaluating new imaging protocols.
  6. Reviews on the evolution of imaging technology and future trends in head and neck oncology.

This issue is intended for radiologists, oncologists, surgeons, and researchers, and we encourage submissions that highlight collaborative research and innovative solutions in imaging.

Contributions are welcomed in the form of original research, review articles, and clinical studies that enhance our understanding and push forward the boundaries of imaging technology in oncological care. This collection aims to foster further research and innovation, significantly impacting clinical practices and patient outcomes in the field of head and neck cancer imaging.

Dr. Calin G. Buzea
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 short 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. Diagnostics 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 2600 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
  • imaging technologies
  • multimodal imaging
  • image-guided therapy
  • artificial intelligence in imaging

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Diagnostics - ISSN 2075-4418