Special Issue "Head and Neck Cancer Imaging and Image Analysis"

A special issue of Cancers (ISSN 2072-6694).

Deadline for manuscript submissions: 31 January 2022.

Special Issue Editor

Dr. Jan Egger
E-Mail Website
Guest Editor
1. Department of Oral & Maxillofacial Surgery, Medical University of Graz, Graz, Austria
2. Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria
Interests: head and neck cancer; head and neck tumor; 2D and 3D imaging; computed tomography; magnetic resonance imaging; positron emission tomography; computer vision; segmentation; registration; image-guided therapy; machine learning; deep learning; generative adversarial networks; radiomics; big data; visualization; navigation; surgery; clinical practice

Special Issue Information

Dear Colleagues,

In the last two decades, head and neck cancer treatment has undergone a remarkable rate of imaging and software-based technological innovation. Imaging modalities, such as computed tomography, magnetic resonance imaging and positron emission tomography, are, in general, the first step for cancer diagnosis and subsequent treatment decisions. An automatic generation and processing of these image datasets can aid clinicians in all therapy stages, from the data acquisition to a postinterventional follow-up monitoring and cancer prognosis. In this regard, this Special Issue targets the whole pipeline from image acquisition and medical image analysis up to epidemiology and demography studies in the field of head and neck cancer. Authors are invited to submit works in this field regarding imaging and medical image processing, such as segmentation, registration, deep learning, generative adversarial networks, radiomics, and image-guided therapies, but also regarding big data and clinical practice.

Dr. Jan Egger
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 papers will be 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 2200 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
  • head and neck tumor
  • 2D and 3D imaging
  • computed tomography
  • magnetic resonance imaging
  • positron emission tomography
  • computer vision
  • segmentation
  • registration
  • image-guided therapy
  • machine learning
  • deep learning
  • generative adversarial networks
  • radiomics
  • big data
  • visualization
  • navigation
  • surgery
  • clinical practice

Published Papers (1 paper)

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Research

Article
Impact of Planning Method (Conventional versus Virtual) on Time to Therapy Initiation and Resection Margins: A Retrospective Analysis of 104 Immediate Jaw Reconstructions
Cancers 2021, 13(12), 3013; https://doi.org/10.3390/cancers13123013 - 16 Jun 2021
Viewed by 312
Abstract
Virtual surgical planning (VSP) and patient-specific implants are currently increasing for immediate jaw reconstruction after ablative oncologic surgery. This technique contributes to more accurate and efficient preoperative planning and shorter operation time. The present retrospective, single-center study analyzes the influence of time delay [...] Read more.
Virtual surgical planning (VSP) and patient-specific implants are currently increasing for immediate jaw reconstruction after ablative oncologic surgery. This technique contributes to more accurate and efficient preoperative planning and shorter operation time. The present retrospective, single-center study analyzes the influence of time delay caused by VSP vs. conventional (non-VSP) reconstruction planning on the soft and hard tissue resection margins for necessary oncologic safety. A total number of 104 cases of immediate jaw reconstruction with free fibula flap are included in the present study. The selected method of reconstruction (conventionally, non-VSP: n = 63; digitally, VSP: n = 41) are analyzed in detail. The study reveals a statistically significant (p = 0.008) prolonged time to therapy initiation with a median of 42 days when the VSP method compared with non-VSP (31.0 days) is used. VSP did not significantly affect bony or soft tissue resection margin status. Apart from this observation, no significant differences concerning local tumor recurrence, lymph node, and distant metastases rates are found according to the reconstruction method, and affect soft or bone tissue resection margins. Thus, we conclude that VSP for immediate jaw reconstruction is safe for oncological purposes. Full article
(This article belongs to the Special Issue Head and Neck Cancer Imaging and Image Analysis)
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