Advances in Head and Neck Imaging

A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Medical Imaging".

Deadline for manuscript submissions: closed (30 November 2024) | Viewed by 1447

Special Issue Editors


E-Mail Website
Guest Editor
Faculty of Medicine and Surgery, University of Enna "Kore", 94100 Enna, Italy
Interests: artificial intelligence; COVID-19; prognosis; radiography; severe acute respiratory syndrome; image quality; MRI of the prostate; PI-QUAL; prostate cancer
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Biomedical Sciences, Humanitas University, 20089 Rozzano, Italy
Interests: innovation in head and neck cancer imaging; artificial intelligence and radiomics; ethical issues and compliance in diagnostic radiology; radiology support, communication, and alignment network in the delivery of radiology care; educational research

Special Issue Information

Dear Colleagues,

Head and neck imaging stands at the forefront of medical innovation, representing a dynamic and essential segment of contemporary diagnostic and therapeutic practices. The proposed Special Issue aims to provide an exhaustive overview of the state-of-the-art developments that are reshaping the landscape of patient care in this arena. As we witness an era of unprecedented growth in medical technologies, this Special Issue will serve as a testament to the transformative power of advanced imaging techniques in diagnosing, managing, and treating head and neck conditions. Our comprehensive examination will encompass a spectrum of cutting-edge imaging modalities, from the refinement of magnetic resonance imaging (MRI) protocols to the enhanced precision of computed tomography (CT) scans, the metabolic insights provided by positron emission tomography (PET), and the real-time evaluation capabilities of ultrasound. Each modality brings unique strengths to the field, and their ongoing evolution promises to significantly elevate the quality and efficacy of patient care. In addition to technological progress, this Special Issue will underscore the significance of an interdisciplinary approach. A more nuanced and holistic understanding of head and neck pathologies can be achieved by weaving together the expertise of radiologists, oncologists, surgeons, and pathologists. The synergy between these disciplines is crucial for the accurate interpretation of imaging findings and the strategic planning of patient-centric treatment pathways. Key topics will include the intricate imaging of complex anatomical structures within the head and neck region, the nuanced detection and characterization of neoplastic processes, and the critical evaluation of therapeutic responses. The implications of imaging findings on surgical planning, the delivery of targeted therapies, and the monitoring of disease progression or regression will be thoroughly explored.

This Special Issue aims to illustrate the pivotal role of head and neck imaging in driving forward clinical outcomes and improving prognostic assessment. Through a detailed exploration of contemporary advancements and collaborative insights, this edition will serve as an invaluable resource for healthcare professionals dedicated to advancing the field of head and neck medical care.

Dr. Salvatore Lavalle
Dr. Maniaci Antonino
Dr. Caterina Giannitto
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. Journal of Imaging is an international peer-reviewed open access monthly 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 1800 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 radiology
  • diagnostic imaging
  • MRI techniques
  • CT scan innovations
  • pet imaging
  • ultrasound advances
  • oncological imaging
  • surgical planning

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

13 pages, 2395 KiB  
Article
Differentiation of Benign and Malignant Neck Neoplastic Lesions Using Diffusion-Weighted Magnetic Resonance Imaging
by Omneya Gamaleldin, Giannicola Iannella, Luca Cavalcanti, Salaheldin Desouky, Sherif Shama, Amel Gamaleldin, Yasmine Elwany, Giuseppe Magliulo, Antonio Greco, Annalisa Pace, Armando De Virgilio, Antonino Maniaci, Salvatore Lavalle, Daniela Messineo and Ahmed Bahgat
J. Imaging 2024, 10(10), 257; https://doi.org/10.3390/jimaging10100257 - 18 Oct 2024
Viewed by 1037
Abstract
The most difficult diagnostic challenge in neck imaging is the differentiation between benign and malignant neoplasms. The purpose of this work was to study the role of the ADC (apparent diffusion coefficient) value in discriminating benign from malignant neck neoplastic lesions. The study [...] Read more.
The most difficult diagnostic challenge in neck imaging is the differentiation between benign and malignant neoplasms. The purpose of this work was to study the role of the ADC (apparent diffusion coefficient) value in discriminating benign from malignant neck neoplastic lesions. The study was conducted on 53 patients with different neck pathologies (35 malignant and 18 benign/inflammatory). In all of the subjects, conventional MRI (magnetic resonance imaging) sequences were performed apart from DWI (diffusion-weighted imaging). The mean ADC values in the benign and malignant groups were compared using the Mann–Whitney test. The ADCs of malignant lesions (mean 0.86 ± 0.28) were significantly lower than the benign lesions (mean 1.43 ± 0.57), and the mean ADC values of the inflammatory lesions (1.19 ± 0.75) were significantly lower than those of the benign lesions. The cutoff value of 1.1 mm2/s effectively differentiated benign and malignant lesions with a 97.14% sensitivity, a 77.78% specificity, and an 86.2% accuracy. There were also statistically significant differences between the ADC values of different malignant tumors of the neck (p, 0.001). NHL (0.59 ± 0.09) revealed significantly lower ADC values than SCC (0.93 ± 0.15). An ADC cutoff point of 0.7 mm2/s was the best for differentiating NHL (non-Hodgkin lymphoma) from SCC (squamous cell carcinoma); it provided a diagnostic ability of 100.0% sensitivity and 89.47% specificity. ADC mapping may be an effective MRI tool for the differentiation of benign and inflammatory lesions from malignant tumors in the neck. Full article
(This article belongs to the Special Issue Advances in Head and Neck Imaging)
Show Figures

Figure 1

Back to TopTop