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Cancers
Special Issues
Oral Cancer Risk and Its Management: What Is New?
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Oral Cancer Risk and Its Management: What Is New?

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Epidemiology and Prevention".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 7434

Special Issue Editors

Prof. Dr. Petra Wilder-Smith

E-Mail Website
Guest Editor
Beckman Laser Institute and Chao Family Comprehensive Cancer Center, University of California, Irvine, CA, USA
Interests: light-based approaches to screening, early detection, diagnosis, and management of oral premalignant and malignant lesions; light-based applications in the oral cavity
Prof. Dr. Pelin Güneri

E-Mail Website
Guest Editor
School of Dentistry, Department of Oral Diagnosis and Radiology, Ege University, Izmir, Türkiye
Interests: early diagnosis of oral premalignant and malignant lesions; biomarkers for oral cancer; clinical features of oral malignancy and premalignancy
Prof. Dr. Betül Ilhan

E-Mail Website
Guest Editor
School of Dentistry, Department of Oral Diagnosis and Radiology, Ege University, Izmir, Türkiye
Interests: early diagnosis of oral premalignant and malignant lesions; biomarkers for oral cancer; clinical features of oral malignancy and premalignancy

Special Issue Information

Dear Colleagues,

The goal of this Special Issue is to provide a cutting-edge perspective on the latest knowledge, innovations and opportunities in the detection, diagnosis and management of oral cancer risk. As you are well aware, oral cancer incidence and prevalence rates are increasing globally, almost doubling in some countries since the late 1970s, while, uniquely among all the major malignancies, outcomes have not improved in our patients.

In this Special Issue, we welcome submissions from the diverse field of diagnostic adjunctive methods and biomarkers, field-based screening and specialist referral, and novel methods such as artificial intelligence applied clinically, to tissue samples or to histological images. Moreover, the Special Issue will address advances such as those that incorporate artificial intelligence, specific signatures in the oral microbiome, and novel remote technologies to improve the detection, diagnosis or referral of individuals with increased oral cancer risk. Finally, the SI will include expert re-evaluations of established concepts of oral cancer risk.

Prof. Dr. Petra Wilder-Smith
Prof. Dr. Pelin Güneri
Prof. Dr. Betül Ilhan
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 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

  • oral cancer
  • oral premalignant lesion
  • oral cancer risk
  • early detection
  • early diagnosis
  • remote screening
  • screening algorithm
  • telehealth

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

Published Papers (3 papers)

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Research

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10 pages, 908 KiB  
Article
Classification of Mobile-Based Oral Cancer Images Using the Vision Transformer and the Swin Transformer
by Bofan Song, Dharma Raj KC, Rubin Yuchan Yang, Shaobai Li, Chicheng Zhang and Rongguang Liang
Cancers 2024, 16(5), 987; https://doi.org/10.3390/cancers16050987 - 29 Feb 2024
Cited by 12 | Viewed by 2840
Abstract
Oral cancer, a pervasive and rapidly growing malignant disease, poses a significant global health concern. Early and accurate diagnosis is pivotal for improving patient outcomes. Automatic diagnosis methods based on artificial intelligence have shown promising results in the oral cancer field, but the [...] Read more.
Oral cancer, a pervasive and rapidly growing malignant disease, poses a significant global health concern. Early and accurate diagnosis is pivotal for improving patient outcomes. Automatic diagnosis methods based on artificial intelligence have shown promising results in the oral cancer field, but the accuracy still needs to be improved for realistic diagnostic scenarios. Vision Transformers (ViT) have outperformed learning CNN models recently in many computer vision benchmark tasks. This study explores the effectiveness of the Vision Transformer and the Swin Transformer, two cutting-edge variants of the transformer architecture, for the mobile-based oral cancer image classification application. The pre-trained Swin transformer model achieved 88.7% accuracy in the binary classification task, outperforming the ViT model by 2.3%, while the conventional convolutional network model VGG19 and ResNet50 achieved 85.2% and 84.5% accuracy. Our experiments demonstrate that these transformer-based architectures outperform traditional convolutional neural networks in terms of oral cancer image classification, and underscore the potential of the ViT and the Swin Transformer in advancing the state of the art in oral cancer image analysis. Full article
(This article belongs to the Special Issue Oral Cancer Risk and Its Management: What Is New?)
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13 pages, 324 KiB  
Article
Real-Time PCR Detection of Candida Species in Biopsy Samples from Non-Smokers with Oral Dysplasia and Oral Squamous Cell Cancer: A Retrospective Archive Study
by Betül İlhan, Caner Vural, Ceyda Gürhan, Cansu Vural, Ali Veral, Petra Wilder-Smith, Güven Özdemir and Pelin Güneri
Cancers 2023, 15(21), 5251; https://doi.org/10.3390/cancers15215251 - 1 Nov 2023
Cited by 7 | Viewed by 2125
Abstract
The impact of Candida sp. in the development of oral cancer remains uncertain and requires sensitive analytical approaches for clarification. Given the invasive capabilities of these microorganisms in penetrating and invading host tissues through hyphal invasion, this study sought to detect the presence [...] Read more.
The impact of Candida sp. in the development of oral cancer remains uncertain and requires sensitive analytical approaches for clarification. Given the invasive capabilities of these microorganisms in penetrating and invading host tissues through hyphal invasion, this study sought to detect the presence of five Candida sp. in oral biopsy tissue samples from non-smoker patients. Samples were obtained from patients at varying stages of oral carcinogenesis, including dysplasia, carcinoma in situ, OSCC, and histologically benign lesions, and analyzed using Real-Time PCR. Oral tissue samples from 80 patients (46 males and 34 females) were included. Significantly higher C. albicans presence was detected in the mild/moderate dysplasia group compared to the healthy (p = 0.001), carcinoma in situ (p = 0.031) and OSCC groups (p = 0.000). Similarly, C. tropicalis carriage was higher in tissues with mild/moderate dysplasia compared to healthy (p = 0.004) and carcinoma in situ (p = 0.019). Our results showed a significant increase in the presence of C. albicans and C. tropicalis within the mild/moderate dysplasia group compared to other cohorts. Coexistence of these two microorganisms was observed, suggesting a potential transition from a commensal state to an opportunistic pathogen, which could be particularly linked to the onset of oral neoplasia. Full article
(This article belongs to the Special Issue Oral Cancer Risk and Its Management: What Is New?)

Other

Jump to: Research

14 pages, 1231 KiB  
Systematic Review
A Systematic Review and Meta-Analysis of the Impact of Cancer and Its Treatment Protocol on the Success of Orthodontic Treatment
by Mohammad Khursheed Alam, Mohammed Awawdeh, Sanjeev B. Khanagar, Wael Aboelmaaty, Huda Abutayyem, Haytham Jamil Alswairki, Ahmed Ali Alfawzan and Mohammad Younis Hajeer
Cancers 2023, 15(22), 5387; https://doi.org/10.3390/cancers15225387 - 13 Nov 2023
Viewed by 1877
Abstract
Background: There are several significant gaps in current studies of the relationship between anti-cancer medications and orthodontic care that call for more investigation. As a result, the main goals of this systematic review and meta-analysis were to summarise and assess the information that [...] Read more.
Background: There are several significant gaps in current studies of the relationship between anti-cancer medications and orthodontic care that call for more investigation. As a result, the main goals of this systematic review and meta-analysis were to summarise and assess the information that was available regarding the effect of radiotherapy and anti-cancer medications on the overall successful completion of an orthodontic treatment plan. Methods: A standardised data extraction form was devised in accordance with the PRISMA guidelines to conduct a systematic review and meta-analysis, with specific criteria implemented for selecting studies with low to moderate risk of bias. Results: Five studies involving different methodologies were selected at the conclusion of the search strategy. The statistical analysis revealed an estimated odds ratio (OR) of 0.31 and relative risk (RR) of 0.48, indicating a statistically significant association between the use of radiotherapy and anti-neoplastic drugs and a noticeable reduction in the successful completion of orthodontic treatment. The heterogeneity analysis showed significant heterogeneity among the studies. Conclusions: This review emphasises that, although orthodontic therapies can still be beneficial for children receiving chemotherapy, the effectiveness of the therapy may be diminished in older populations. The findings further highlight how crucial it is to take cancer therapies into account when planning and managing orthodontic treatment in order to optimise results and reduce problems. Full article
(This article belongs to the Special Issue Oral Cancer Risk and Its Management: What Is New?)
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