Literature DB >> 34359370

Current Insights into Oral Cancer Diagnostics.

Yee-Fun Su1, Yi-Ju Chen1, Fa-Tzu Tsai2, Wan-Chun Li2, Ming-Lun Hsu3, Ding-Han Wang3, Cheng-Chieh Yang3,4.   

Abstract

Oral cancer is one of the most common head and neck malignancies and has an overall 5-year survival rate that remains below 50%. Oral cancer is generally preceded by oral potentially malignant disorders (OPMDs) but determining the risk of OPMD progressing to cancer remains a difficult task. Several diagnostic technologies have been developed to facilitate the detection of OPMD and oral cancer, and some of these have been translated into regulatory-approved in vitro diagnostic systems or medical devices. Furthermore, the rapid development of novel biomarkers, electronic systems, and artificial intelligence may help to develop a new era where OPMD and oral cancer are detected at an early stage. To date, a visual oral examination remains the routine first-line method of identifying oral lesions; however, this method has certain limitations and as a result, patients are either diagnosed when their cancer reaches a severe stage or a high-risk patient with OPMD is misdiagnosed and left untreated. The purpose of this article is to review the currently available diagnostic methods for oral cancer as well as possible future applications of novel promising technologies to oral cancer diagnosis. This will potentially increase diagnostic options and improve our ability to effectively diagnose and treat oral cancerous-related lesions.

Entities:  

Keywords:  OPMD; biomarker; diagnostic; early detection; in vitro diagnostic; medical device; oral cancer

Year:  2021        PMID: 34359370     DOI: 10.3390/diagnostics11071287

Source DB:  PubMed          Journal:  Diagnostics (Basel)        ISSN: 2075-4418


  4 in total

1.  Evaluation of YouTube Videos as a Source of Information About Oral Self-examination to Detect Oral Cancer and Precancerous Lesions.

Authors:  Nitin D Gulve; Pallavi R Tripathi; Sachinkumar D Dahivelkar; Meenal N Gulve; Reeya N Gulve; Swapnil J Kolhe
Journal:  J Int Soc Prev Community Dent       Date:  2022-04-08

2.  Improving the Diagnostic Performance by Adding Methylation Marker to Conventional Visual Examination in Identifying Oral Cancer.

Authors:  Cheng-Chieh Yang; Yee-Fun Su; Han-Chieh Cheng; Yi-Chen Juan; Yu-Wei Chiu; Cheng-Hsien Wu; Pei-Yin Chen; Yu-Hsien Lee; Yen-Lin Chen; Yi-Tzu Chen; Chih-Yu Peng; Ming-Yi Lu; Chuan-Hang Yu; Yu-Feng Huang; Shou-Yen Kao; Chyng-Wen Fwu; Chung-Ji Liu
Journal:  Diagnostics (Basel)       Date:  2022-06-24

3.  Transcranial direct current stimulation in the treatment of anxiety and depression in patients with oral cancer during perioperative period.

Authors:  Zhi-Biao Gao; Wen-Juan Zhang; Rui Tuo; Xia Xiao; Wei-Jing Cao
Journal:  Medicine (Baltimore)       Date:  2022-09-02       Impact factor: 1.817

4.  Identifying anal and cervical tumorigenesis-associated methylation signaling with machine learning methods.

Authors:  Fangfang Jian; FeiMing Huang; Yu-Hang Zhang; Tao Huang; Yu-Dong Cai
Journal:  Front Oncol       Date:  2022-09-29       Impact factor: 5.738

  4 in total

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